Input stringlengths 251 41.6k | Output stringlengths 137 9.7k |
|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the author investigates how to utilize largescale human video to train dexterous robot manipulation skills to leverage the information from the internet videos the author proposes a handful of... | this paper studies how to learn dexterous manipulation from human videos in the initial review the reviewer appreciated the direction and realworld experiment but also raised concerns about the need of special sensor for tracking during rebuttal the authors effectively addressed this concern by providing additional... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of contributions this paper proposes a new framework to design new loss for gans the authors show that their framework is quite general and encompass a number of existing approaches eg the original ... | this paper proposed a new family of losses for gans and showed that this family is quite general and encompasses a number of existing losses as well as some new loss functions the paper compared experimentally the existing losses and the new proposed losses but the benefit of this family is not clear theoretically and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of moe routing under the cases of different network topologies by allocating another abstraction layer for the topology and designing an auxiliary objective to optimize expe... | mixtureofexpert moe models have demonstrated a lot of success recently to further improve upon the existing literature this paper studies moe routing for different network topologies this is essentially to deal with the communication overhead of moe training the strategy is to add another layer on top for the topology ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses applications of variants of rnns and gated cnn to acoustic modeling in embedded speech recognition systems and the main focus of the paper is computational memory efficiency when we dep... | in this work the authors conduct experiments using variants of rnns and gated cnns on a speech recognition task motivated by the goal of reducing the computational requirements when deploying these models on mobile devices while this is an important concern for practical deployment of asr systems the main concerns expr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce the problem of telegraphic summarization given a sentence we want to reduce its size while retaining its meaning with no penalty for grammatical mistakes the main application presented... | this paper presents methods for telegraphic summarization a task that generates extremely short summaries there are concerns about the utility of the task in general and also the novelty of the modeling framework there is overall consensus between reviewers regarding the papers assessment the feedback is lukewarm |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles the task of forecasting dynamics in different domains simultaneously using an encoder which is trained to determine the task the inferred latent vector is then used to adapt a forecasting ... | the paper addresses the problem of domain generalization for learning spatiotemporal dynamics it proposes a solution where an encoder captures some characteristics of a given environment and a forecaster autoregressively predicts future dynamics conditioned on the characteristics learned by the encoder said otherwise t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the mixture of experts moe architecture which has become popular in nlp recently as a way to increase the capacity of network without increasing depth the authors aim to develop a theoreti... | the paper provides a theoretical analysis of sparsely activated neural networks they introduce lsh local sensitive hashing as a new routing function for theoretical analysis and proved a few results on representation power and inference time one reviewer pointed out that the theoretical results are expected and do not ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new approach to inject knowledge into pretrained language representation models plms instead of tuning the original plm parameters the paper plugs in new adapters for knowledge injectio... | the paper augments pretrained language models by introducing adapter where each adapter is another language model pretrained for a specific knowledge source eg wikidata and an objective eg relation classification the representation from each adapter is concatenated to the representation from the generic lm specifically... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a formal analysis for the impact of graph reordering ie ordering the inmemory storage sequence of graph node embeddings on the cache efficiency of near neighbour searches using near neig... | this paper studies how to order inmemory sequences for graph embedding there was a positive consensus that the studied problem is interesting and results are sufficiently discussed there were some concerns on missing results which were addressed during rebuttals |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the pacbayes information bottleneck pib starting from the generalization bound eq 4 which shows that the generalization gap is upper bounded by a function of iws the authors proposes p... | this paper revisits the information bottleneck principle but in terms of the compression inherent in the weights of a neural network rather than the representation this gives the resulting ib principle a pacbayes flavor the key contribution is a generalization bound based on optimizing the objective dictated by this pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i liked this paper quite a lot although this paper does not belong to my area of expertise i was able to understand the paper clearly because of its lucid exposition experimentally the authors show a novel ... | this paper proposes a gnn that uses global attention based on graph wavelet transform for more flexible and datadependent gnn feature aggregation without the assumption of local homophily three reviewers gave conflicting opinions on this paper the reviewer claiming rejection questioned the novelty of the paper and the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel framework for semisupervised learning that solves two issues of previous methods 1 overreliance on labeled data and 2 error accumulation it shows that jointly solving the main tas... | this paper proposes a new method for the important problem of semisupervised learning this method relies on an auxiliary task label observability prediction to weight the examples according to the confidence in their pseudolabels so as to avoid the propagation of errors encountered in selftraining limited experiments s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main goal of this paper is to introduce a simple methodology for optimizing transformer based models for efficiency and effectiveness the paper introduces two main ideas 1a topdown strategy for pruni... | this paper introduces a set of techniques that can be used to obtain smaller models on downstream tasks when finetuning large pretrained models such as bert some reviewers have noted the limited technical novelty of the paper which can be seen more as a combination of existing methods this should not be a reason for re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is a natural extension of 1 which shows the importance of spectral normalization to encourage diversity of the discriminator weights in a gan a simple and effective parametrization of the weights ... | all the reviewers agree that the paper has an interesting idea on regularizing the spectral norm of the weight matrices in gans and a generalization bound has been shown the empirical result shows that indeed regularization improves the performance of the gans based on these the ac suggested acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is about a method for synthesizing binaural audio from a mono recording of a single speakers speech first i think the title is too general the paper does not attempt to convert all possible sound... | interesting method for binaural synthesis from moving monoaudio nice insight into why l2 isnt the best loss for binaural reconstructions interesting architectural choice with nice results nicely motivated and clearly presented idea especially after addressing the reviewers comments i agree with the idea of a tit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper considers the adversarial attacks via a surrogate model constructed using data from a different domain the authors propose a defense from such attacks by a special kind of adversarial tra... | the submission considers a new attack model for adversarial perturbation in a framework where the attacker has neither access to the trained model nor the data used for training the model the submission suggests adomain adaptation inspired attack learn a different model on a similar domain and generate the adversarial ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a detailed analysis on pruning heuristics and its applications to early pruning it thoroughly analyzed magnitudebased pruning losspreservation based pruning and gradientnorm based prunin... | this paper proposes a broad framework for unifying various pruning approaches and performs detailed analyses to make recommendations about the settings in which various approaches may be most useful reviewers were generally excited by the framework and analyses but had some concerns regarding scale and the papers focus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper aims to explain dropout from the lens of game theoretic interactions let x denote the input of a deep neural net dnn intuitively the interaction between two variables xi and xj quantifie... | the paper introduces a gametheoretic framework to improve our understanding of dropout all reviewers appreciated the contribution of the paper while they had a number of questionssuggestions almost all of them were adequately addressed three reviewers are satisfied and recommend acceptance while a lone reviewer is on t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first thoroughly analyzes the difference in distributions of weights and activations in addernet and then proposes a new quantization algorithm by redistributing the weights and the activations s... | the reviewers were mostly positive about this paper 8664 while the negative reviewer did not update the review or respond after the authors response i do not see any major issues remaining the suggested method seems interesting novel and achieves good empirical results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new model architecture using lstm for image classification by adapting 2dimensional lstm bilstm for vertical and horizontal directions into the transformerlike architecture the model... | four reviewers provided detailed feedback on this paper the authors responded to the reviews and i appreciate the authors comments and clarifications specifically that each questioncomment is addressed in detail the authors also uploaded a revised version of the paper after the two discussion periods all four reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
nocturne introduces a 2d simulation environment to support rlil approaches to multiagent planning in the context of autonomous driving nocturne seeks to improve on other work in two key ways first nocturn... | overall this paper provides a great starting point for future benchmarking experiments the reviewers engaged in a lively discussion with the authors and provided valuable suggestions for future improvements which the authors have integrated in their submission |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper leverages clip for zeroshot segmentation which is a very hot topic currently the authors proposed a clipretrievalbased way to build gallery candidates for the semantics segmentation class and the... | after author response and the discussion the paper received 1x borderline reject 1x borderline accept 3x weak accept note that one reviewer mentioned the score increase only in the discussion the main strength are overall novel framework for zeroshot segmentation strong performance the authors revised the paper and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem the paper addresses the problem of discovering and segmenting multiple foreground objects in videos without using supervision solution the proposed solution involves training on synthetic data and... | this paper uses synthetic data to train a cnn transformer architecture for amodal object segmentation from optical flow input the model architecture can be viewed as an adaptation of detr 12 to a different task reviewer ratings lean positive although there are concerns about experimental validation as the combinatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies differential privacy for pretrained certifiers that offer certified robustness through input perturbation the key insight is to analyze differential privacy afforded by the input perturbat... | this paper develops a technique to provide both privacy and robustness at the same time using differential privacy unfortunately the paper in its current form does not have meaningfully interpretable security or privacy claims the reviewers point at a number of these flaws that the authors do not address to the satisf... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 important step in understanding the inductive bias of modern neural networks 2 convincing theoretical and empirical analysis 3 excellent presentation 1 only one hidden layer is considered but this is s... | meta review most reviewers appreciated the insights provided on learning neural networks some reviewers also had some concerns about readability hopefully they provided enough feedback to improve the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem that personalization methods in federated learning may cause the personalized models to overfit on spurious features thereby increasing the accuracy disparity compared to the... | the paper talks about a novel setting in federated learning and argues that personalization methods may cause the personalized models to overfit on spurious features thereby increasing the accuracy disparity compared to the global model to this end the authors propose a debiasing strategy using a global model and adver... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a hypergrid transformer approach to finetuning where one takes a pretrained transformer model and then modifies it by introducing hypernetworks that modify the 2nd ffn in each transforme... | the paper proposes hypergrid transformers a modified transformer architecture for learning a single model for multiple tasks in nlp the proposed method was evaluated on popular gluesuperglue tasks and reported competitive results with the baselines the improvements are somewhat marginal the paper contains some interes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides lower bounds in the noise free setting for learning two hidden layer networks in the gaussian space basically the whole concept is to embed hard problems over the uniform in hypercube to ... | this work provides lower bounds in the noise free setting for learning two hidden layer networks in the gaussian space overall it is a fundamental result well within the scope of neurips continuing a solid line of work and i cannot see any reason for rejection the authors have engaged with the reviewers and have commi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper provided the definition of the temporallycontingent planning tcp problem together with some concrete planning domains modeled in terms of this framework on top of that the authors pointe... | we thank the authors for their contribution itll be a great addition to the workshop program please refer to the feedback provided by the reviewers when creating your cameraready version particularly to improve the clarity of the paper consider formally defining important termsnotions used throughout the paper such a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the use of random weights together with learnable masks the learnable masks are learned with straight through operator the authors argue that such training approach for neural network woul... | the paper studies the use of random weights together with learnable masks authors demonstrate that such training approach for neural network can reduce the model storage requirements and has applications to network compression reviewer appreciated the novelty of the idea and the extensive experiments on various archi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an extendable framework to train different vaebased generative models a usecase is presented benchmarking 19 different autoencoders on 5 different tasks image reconstruction image gene... | acceptposter the reviews recognized the importance of contributions by the paper the rebuttal by authors addressed a number of concerns it would be helpful if the authors can address the pending concerns in the camera ready version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper addresses the problem of vertex classification using a new graph convolutional neural network nn architecture the linear operator within each of the layers of the gnnn is formed by a poly... | the topic covered by the paper is timely and the way the authors have addressed the problem seems correct the provided empirical evidence seems to be sufficient to support the main claim of the paper presentation is well structured and clear notwithstanding the above merits the proposed approach seems to confirm other ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method that allows training of uv methods without sharing any user exemplar or class embeddings with the server or other uses models are trained using gradient averaging on the server ... | in this paper the authors propose to adapt the recent paper by yu et al icml 2020 namely fedaws in that paper the authors solved a potential failure mode in federated learning when all the users only have access to one class in their devices in this paper the authors extend fedaws to a setting in which federated learni... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use hypernetwork to personalize the federated model by encoding new user data and using this embedding as a parametrization argument the results demonstrate significant average improv... | this paper proposes a personalized federated learning method using a hypernetwork to encode unlabeled data from new clients at inference time new clients can use unlabeled data as input to this hypernetwork in order to obtain a personalized version of the model the key strength of the paper is that the idea is interest... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a new perceptual super resolution method for 3d brain image segmentation the method uses a carefully designed upsampling and a novel loss function to obtain the desired performance and ... | this paper has mixed evaluations with two reviewers recommending accept and three recommending reject after carefully reading the paper and the discussion i agree with reviewers hygi ho1b akcw uzm9 in their main criticisms the paper still requires major revisions before it can be accepted including but not limited to a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the issue of segmentation uncertainty using stateoftheart ssns authors view these as factor models they derive flow probabilities on these factors to visualize and quantify uncertainty as... | the manuscript interprets stochastic segmentation networks ssn 2020 as a factor model and thus adds latent factors governing the noise components within the single covariance of ssns additionally wellchosen rotations of the factors with imposed sparsity lead to a parsimonious and supposedly more interpretable represent... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a theoretical study of the popular selfsupervised learning ssl techniques vicreg simclr and barlowtwins the main results are closedform optimal representations for each method as a funct... | this paper focuses on providing some theoretical intuitionunderstandings of popular selfsupervised learning ssl methods the authors develop closedform optimal representations for various method as a function of the training data and the samplerelation matrix the authors also provide further intuition by developing simp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an extension to the non autoregressive translation model by gu et al to improve the accuracy of non autoregressive models as compared to the autoregressive translation mode... | sufficiently strong results a fast parallelizable model novelty with respect to previous work is not as great see anonreviewer1 and anonreviewer2s comments the same reviewers raised concerns about the discussion of related work eg positioning with respect to work on knowledge distillation i agree that the ve... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an activation quantization method acsgd for the finetuning step on language models with slow network setup acsgd compresses the change of the activations instead of activation values dir... | in this paper authors propose to speed up the fine tuning of large models over slow networks by compressing deltas of activations vs activations themselves so as to reduce the computation cost original reviews were mixed but at the end of the discussion period all reviewers are leaning towards acceptance the main issu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose the warm method to help conduct iterative and interactive weaklysupervised learning active learning is used here to refine the labeling functions by focusing on data points ... | the authors propose warm a novel method that actively queries a small set of true labels to improve the label function in weak supervision in particular the authors propose a methodology that converts the label function to soft versions that are differentiable which are in term learnable with true labels using proper u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an environment called honor of kings arena which is derived from the popular mobile game honor of kings the environment can be used for evaluating the generalization ability of agents i... | this paper introduces a novel rl benchmark based on the popular computer game honor of kings arena there are two modes of evaluation one is a single agent task of beating the computer ai and the second one is a competitive setting two player zerosum the game offers interesting challenges from a generalisation and tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
while there is an extensive literature on both multiagent reinforcement learning marl and offline rl separately this work explores a setting that combines the two in the marl setting the size of the joint a... | reviewers appreciate the papers contribution to a novel intersection of fields offline and multiagent rl while feasibility of the results is limited to cases where prior knowledge allows strategywise decomposition it is nonetheless an interesting step in this field reviewers are concerned that the above substantial lim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a physical systems evaluation dataset framework that focuses on evaluating machine learning algorithms for simulation problems they provide four systems of increasing difficulty to eva... | this paper introduces a physical evaluation dataset framework for scientific computing pipelines that map one highdim state space into another high or lowdim one providing a suite of simple representative physics problems reviewers appreciated for motivation clarity comprehensiveness and overall contribution to the sp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a deep state space model for videos the dynamics are defined by linear hamiltonian dynamics and the motion matrix is further assumed to be block diagonal in order to separate different c... | this paper proposes a novel type of variational auto encoder referred to as helo the latent space is decomposed into a content space and a motion space and the main contribution is the proposal to model the motion space using hamiltonian dynamics all reviewers agree that the idea of using hamiltonian dynamics is intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an enhanced gat model named supergat by adding link prediction as an auxiliary task when conducting node classification and compare different methods of attention forms the... | two reviewers are very positive about this paper and recommend acceptance one indicates rejection and one is on the fence although all referees appreciate the extensive experiments and analysis presented in the paper their main concerns are related to the limited superiority of the method wrt state of the art r1 seemin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a metalearning method for fewshot learning the propose approach mlti creates new artificial tasks by interpolating two existing tasks form the training set during metatrain... | current metalearning algorithms suffer from the requirement of a large number of tasks in the metatraining phase which may not be accessible in realworld environment this paper addresses this bottleneck introducing a crosstask interpolation in addition to the existing intratask interpolation the main idea is very simpl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality of the paper the paper is quite clear on the background literature on adversarial examples physics based rendering and the core idea of generating adversarial perturbations as a function of illumin... | the paper describes the use of differentiable physics based rendering schemes to generate adversarial perturbations that are constrained by physics of image formation the paper puts forth a fairly novel approach to tackle an interesting question however some of the claims made regarding the believability of the advers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposes a hierarchical bayesian approach for lifelong rl the global worldmodel posterior models the world model shared across tasks and the taskspecific model learns the dynamics within a speci... | the topic of this paper is timely and important however ultimately the reviewers remained unconvinced that this paper provides a sufficiently clear and sufficiently significant advance to lifelong rl as an additional note the setting under investigation here is not the full lifelong learning setting eg several of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a clever and sensible approach to using the structure learned by the auxiliary variational method to accelerate randomwalk mcmc the idea is to learn a lowdimensional latent space that ex... | the reviewers all argued for acceptance citing the novelty and potential of the work as strengths they all found the experiments a little underwhelming and asked for more exciting empirical evaluation the authors have addressed this somewhat by including multimodal experiments in the discussion period the paper woul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper applies two existing techniques derived from adversarial example literature and msgan to improve the quality and diversity of generated samples by gan the former idea from goodellow et al 2014b i... | to improve the generative adversarial nets the paper proposes to add an implicit transformation of the gaussian latent variables before the topdown generator to further obtain better generations with respect to quality and diversity this paper introduces targeted latent transforms into a bilevel optimization of gan ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a layerwise pruning method that formulates the problem of eliminating neurons as a weakly submodular optimization problem for which the wellknown greedy algorithm gives an approximation ... | the paper proposes a dataefficient structured pruning method that for a given layer finds neuronschannels to prune with corresponding new weights for the next layer that minimize the change in the next layers input induced by pruning this selection problem is formulated as a weakly submodular maximization problem thus ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed to relax fixed table structures by introducing a transferable tabular transformer transtab for tables they basically convert each row into a feature vector and then apply stacked transfo... | this work introduces and evaluates a general scheme to featureize tabular data and methods for selfsupervised pretraining over the same with a focus is on learning transferable representations reviewers were unanimous that the approach proposed constitutes a flexible practical approach that borrows and brings togethe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method called gentd for offpolicy evaluation of gvfs the algorithm can further estimate multiple intercorrelated gvfs at once under some reasonable causal assumptions the contribut... | the paper proposes a new algorithm called gentd for the estimation of multiple general value functions predictive and retrospective from offpolicy data the paper shows convergence guarantees for this algorithm to the ground truth for a certain class of general value functions with causal filtering the initial reviews... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the major result of this paper is to provide a general framework for analyzing compressed gradient descent an algorithm that has unbiased gradient and has bounded variance with respect to a shift vector thi... | meta review this paper studies a distributedfederated optimization setting with a focus on communication as the bottleneck specifically they focus on the case where compressed noisy estimates of the gradient are being used in a suitable formalization the papers most significant contributions are theoretical first they ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on the update regression problem for structured prediction the authors explore two standard structured prediction approaches graphbased and transitionbased they conduct a set of experiment... | this is a good paper with a topic that is very important in practical scenarios but does not have many off the shelf solutions and i find that this paper makes an attempt to this end in addition i am happy to see the discussion with the reviewers most of whom suggest acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new model for performing multilabel classification which is particularly wellsuited to situations where there are elements of structure hierarchy mutual exclusion in the label space ... | the reviews of this paper are uniformly positive the novelty is the handling of exclusion edges which expands on previous work on the negative side the improvements seem small and do not solidly establish the value the value of the hyperbolic hyperplanes but the reviewers liked the paper and i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is an extension of 1 the task in 1 is language modeling while this paper is doing machine translation with the similar idea the authors propose a nonparametric method for machine translation via a... | this paper extends past work on knnaugmentation for language modeling to the task of machine translation a classic parametric nmt model is augmented with knn retrieval from an external datastore decoderinternal tokenlevel representations are used to index and retrieve relevant contexts source target prefix that weighi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors demonstrate a method to perform unsupervised amortized optimization of game solvers that seemingly leads to sharp speedups they also design an architecture that respects the equivariances of the... | this paper introduces an neural network based equilibrium solver which utilizes a special equivariant neural network architecture to approximately predict nes ces and cces of normalform games experiments show the effectiveness of the proposed methods across multiple dataset all reviewers support the acceptance of this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows how to extend the widelyused expected improvement heuristic from into the contextual bandits setting to create a new basic type of contextual bandit algorithm they propose two novel algorith... | this paper proposes and analyzes algorithms based on expected improvement for the contextual bandit setting and proves that the resulting algorithm can attain od sqrtt regret in the linear bandit setting the result improves over linear ts all the reviewers agree that the modified linei algorithm and its analysis are ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the dynamic monopolistic pricing problem under markdown constraints which requires pricing decisions to be nonincreasing the decision maker does not know the form of the demand function t... | this paper focuses on an interesting problem dynamic pricing the paper brings conceptual new ideas markdown dimension and associated algorithms i have 2 concerns 1 it would be better if the algorithms were adaptive to the aforementioned dimension 2 it would have been better if the authors had followed the instruction... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses an issue of transformers that sometimes they fail to find solutions that are easily expressible by attention patterns the issue is justified to be the same as the problem of learning us... | this work proposes a novel transformer control flow model and achieves nearperfect accuracy on length generalization simple arithmetic tasks and computational depth generalization all reviewers give positive scores ae agrees that this work is very interesting and has many potentials it would be exciting if the author ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this dataset includes daily living action data collected by two cameras and several imus from 51 strokeimpaired patients and 20 healthy subjects different from previous human action datasets this dataset fo... | this submission receives reviews from 6 different reviews most reviewers 56 appreciate the contribution of the new dataset they acknowledge that the problem setup is interesting and the dataset may be useful for different research communities computer vision time series analysis medical on the other hand reviewer 38gn ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose tesseract an aggregation scheme that is robust to the directed deviation attack proposed in fang et al 2020 pros a the defense is based on an interesting observation that for a sufficie... | the paper presents a defense against the gradient sign flip attacks on federated learning the proposed method is novel technically sound and well evaluated the crucial issue of the paper is however that this defense is specific to gradientflip attacks the authors show the robustness of their method against whitebox att... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents algorithms for optimization using signsgd when the access is restricted to a zero order oracle only and provide detailed analysis and convergence rates they also run optimization experime... | this is a solid paper that proposes and analyzes a sound approach to zero order optimization covering a variants of a simple base algorithm after resolving some issues during the response period the reviewers concluded with a unanimous recommendation of acceptance some concerns regarding the necessity for such algori... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on designing more effective ways for contrastive learning the author claims that stronger augmentations are beneficial for better representation learning different from directly applying ... | this paper improves mocobased contrastive learning frameworks by enabling stronger views via an additional divergence loss to the standard weaker views three reviewers suggested acceptance and one did rejection positive reviewers found the proposed method is novel and shows promising empirical results however as pointe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a mixedsize cnn training scheme using several different input image sizes for one single model training the authors assume the training budget represented as si2bidi ie spatial sample si... | this work proposes to train networks with mixed image sizes to allow for faster inference and also for robustness the reviewers found the paper was wellwritten and appreciated that the code was available for reproducibility however the paper does not sufficiently compare to related methods the authors should resubmit o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
background for the paper semidefinite programs sdps form a popular class of convex programs but suffer from large input size in most useful settings to circumvent this issue of size burer and monteiro pro... | the burermonteiro method is widely used for solving large scale semidefinite programs it works based on replacing an n times n positive semidefinite matrix x with y yt where y is n times p this has the benefit that it is more space efficient to store y than x but it transforms a convex optimization problem into a nonco... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an adaptive unsupervised domain adaptation based on a variational particle filter bayesian posterior on an encoder which is then used to form predictions on a nonstationary time changing... | paper combines the use of a particle filtering differential equation newly proposed in this paper for sampling posterior parameters of a bayesian neural network with unsupervised domain adaptation and achieves strong results on tasks demonstrated reviewers found the method novel and the problem important several questi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes whether low and midlevel feature information is clearly represented in early cnn layers but not as clearly represented in later cnn layers a property that is present in early and late vis... | this paper examines the intrinsic dimensionality id of representations in the rat brain and cnns the authors show that the rat brain like the cnns studied have distinct expansioncontraction phases and that in the cnns one also observes a distillation and pruning of low and midlevel information similar to what is seen i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a fully differentiable yet modular pipeline for autonomous vehicle perception and control it preserves the traditional abstractions such as perception prediction planning and control but... | this paper proposes a modular but fully differentiable stack for selfdriving cars the differentiability enables the gradient to backpropagate from task performance all the way to the prediction module it demonstrates better prediction accuracy than the traditional modular approach while preserving interpretability and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an ntk analysis for a class of residual networks with a mixture of activation functions at different layers the authors derive bounds on the minimum eigenvalue for both finite and infini... | this work relates nas to the conditioning of a dnn through the ntk framework this work is well supported theoretically and empirically and making this connexion is surprising given the potential interest for the nas community i recommend accepting this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
clarity the work is a clear introductionoverview of this area of research the reviewer enjoyed the connections to multiplegradient descent and clear distinctionscontrasts with previous approaches to weighti... | the reviewers found that paper is well written clear and that the authors did a good job placing the work in the relevant literature the proposed method for using multiple discriminators in a multiobjective setting to train gans seems interesting and compelling however all the reviewers found the paper to be on the b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors begin by discussing the discrepancy in association between normal and anomalous points and then suggest an anomaly transformer based on an anomalyattention mechanism that is further improved usi... | the paper proposed a novel approach that leverages the discrepancies between the global series association and the local prior association for detecting anomalies in time series the authors provided detailed empirical support to motivate the above detection criterion and introduced a twobranch attention architecture fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper designs sublinear algorithms for hierarchical clustering in dynamic streaming model query model and mpc model over very large graphs minimum cost hierarchical partitioning is the optimization obj... | the paper presents new algorithm for hierarchical clustering in different regimes in particular they show a new algorithm for a dynamic edge streaming model for a neighbor query model and for the mpc model the paper contains both nice theory results and in the rebuttal phase the authors supported them with interesting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the task of learning gans that decompose the image formation process into foreground background and mask generation and composition compared to previous methods the proposed comgan aims ... | the paper proposes a compositional gan model with a novel network architecture that solves the vanishing gradient problem underlying trivial solutions the proposed model achieves strong results on image disentanglement and unsupervised segmentation tasks the rebuttals by the authors have successfully addressed most o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses finegrained entity typing by leveraging semantic relations of the mention with other words in the same sentence specifically the authors showed how to use hypernym relations and verbargu... | the paper make use of semantic relations hypernym and verbargument to obtain the state of the art performance in entity typing especially compared to strong baselines such as bert the paper presents an interesting message that linguistic features could be still important among the age of endtoend methods it is also cle... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of predictive modelling with missing input features the authors formulate the problem as a latent variable model and in addition to the standard variational lower bound elbo ... | while generative model can be used to input data this work propose to a novel discriminative learning approach to optimize this data imputation phase by deriving a discriminative version of the traditional variational lower bound elbo the resulting bound can be estimated without bias with monte carlo estimation leads t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies an online deep equilibrium models deq method for regularization by denoising red the proposed oder incorporated randomized processing of measurements the oder algorithm aims to bypass the ... | the paper proposes a learning method specifically a deep equilibrium learning approach for regularization by denoising a plugandplay method for solving inverse problems after the rebuttal all reviewers support acceptance of the paper the reviewers find the paper to be well written the problem to be interesting and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new knowledge distillation framework for directed graphical models based on the reparameterization trick the new distillation framework overcomes the intractable marginals in marginali... | the paper proposes a framework for distilling deep directed graphical models where the teacher and student models have the same number of latent variables z the key idea is to reparameterize both models in terms of standardized random variables epsilon with fixed distributions and train the student to match the conditi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose a novel combination of vaes and flow models where the decoder is modelled through a conditional flow taking as input a local representation of the size of the input image and a g... | the paper proposes a hybrid vaenormalizingflow for extracting local and global representations of images while the reviewers found the model itself to be conceptually simple and straightforward all were convinced by the empirical evaluation that indeed interesting representation learning is going on resulting in a una... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a few tricks to improve the stability of bert fineturning which include a standard adam optimizer with bias correction the top bert layers reinitiation and longer training it provides ex... | this paper addresses some of the welldocumented instabilities that can arise from finetuning bert on a dataset with few samples through a thorough investigation they highlight various bizarre behaviors that have a negative impact on stability first that bert inexplicably uses an unusual variant of adam that in fact har... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors assessed how their adaptive temporal fusion network performs on public datasets such as something v12 kinetics etc the contribution of this paper is in proposing an approach to automatically determi... | this paper presents a model for video action recognition the reviewers appreciated the development of a novel dynamic fusion method that examines channels from feature maps for use in temporal modeling after reading the authors responses the reviewers converged on an accept rating the solid empirical results and ana... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper modifies the gan objective by defining the true and fake labels in terms of both the training sample and a newly introduced random variable s the intuition is that by progressively changing the d... | the submission hypothesizes that in typical gan training the discriminator is too strong too fast and thus suggests a modification by which they gradually increases the task difficulty of the discriminator this is done by introducing effectively a new random variable which has an effect on the label and which prevent... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper takes the negativefree contrastive learning methods as an example to explore the disentanglement property of the selfsupervised methods experimentally to address the limitations of existing disen... | there was a consensus among reviewers that this paper should be accepted the key convincing arguments that this paper studies a novel setting how to measure the disentanglement in highdimensional spaces for this the authors perform extensive experiments and come up with a novel metric the reviewers further felt that co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall i vote for rejecting the core idea of the new algorithm looks interesting but this paper does not provide convincing evidence theoretically and empirically pros 1 this paper introduces a new vari... | this paper investigates some variants of the double qlearning algorithm and develops theoretical guarantees in particular it focuses on how to reduce the correlation between the two trajectories employed in the double qlearning strategy in the hope of rigorously addressing the overestimation bias issue that arises due ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper highlights important variables impacting the effective robustness er of a pretrained finetuned model the authors identify that increasing model size dataset size and example difficulty improves ... | thank you for your submission to neurips the reviewers are quite split on this paper but some remain substantially negative even after discussion im a bit more optimistic about the paper the observed increase then decrease in er during finetuning does strike me as a fundamentally interesting phenomenon and i believe ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the practical approximation of integrals is one of the most important practical mathematical problems only a handful of viable methods exists for that problem and the authors contribute a true improvement ... | meta review while there are mixed reviews for the paper concerns largely relate to computational complexity which seem well addressed by the authors in their responses the broader coverage of the literature in the paper is not great for example its surprising that very well known work about spectral kernels such as spe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies the kernel ridge regression and provides close form characterization on the loss curve in the finite sample regime of m propto dr where m is the sample size d is the input dimensi... | the paper studies kernel ridge regression and characterizes its performance theoretically which are interesting and highly relevant to machine learning venues the paper is technically sound and the authors have done a good job in the rebuttal period the paper is worth publishing in neurips |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new method for contrastive why class x and not class y as opposed to why class x explanations of classification networks the main idea is to use the attributions of other classes weight... | reviewers expressed overwhelmingly positive opinions about the simple easily implementable and at the same time innovative procedure proposed in the paper for obtaining gradientbased classcontrastive explanations appreciation also transpired for the significance of this work in clarifying some technical points in the g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this papers tackles the problem of machine unlearning that is removing training data upon request from a model as if the model is trained only with the retained data the proposed approach pcmu trains a mode... | this paper proposes an algorithm for simultaneous learning and unlearning without the knowledge of the datapoints that will be forgotten this reduces the computational cost associated with unlearning in a unified fashion both experimental and theoretical results are interesting and the paper would be a great addition t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a modelfree hrl method which is combined with unsupervised learning methods including abnormality discovery and clustering for subgoal discovery in all this paper studies a very importan... | pros good results on montezuma cons moderate novelty questionable generalization lack of ablations and analysis lack of stronger baselines no rebuttal the reviewers agree that the paper should be rejected in its current form and the authors have not bothered revising it to take into account the detailed review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a theoretic investigation on how to learn a manifold with a scorebased generative model sgm sgm uses an approximated score of the distribution in the middle of the reverse diffusion this score... | this paper presents a theoretical analysis of scorebased generative models sgms diffusion models specifically the paper theoretically studies the effect of approximations used by sgm 1 approximating pt by prior and 2 approximating logpt by a neural network which currently lacks a solid understanding the paper presents ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the robustness of knn and rnn to poisoning attacks they try to achieve certified bounds on the robustness of rnn and knn algorithms against poisoning attacks they claim to achieve certifie... | some reviewers expressed concerns on soundness of the theory in the paper specifically theorem 3 does not seem to be correct there are other concerns such as the significance of the theoretical contributions little empirical value and existence of much stronger results unfortunately the authors did not provide respons... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new ml force field based on gnns that uses higherorder equivariant messages previous methods like dimenet and gemnet use higherorder messages triplets or quadruplets but they enumerate... | this paper proposes a novel equivariant message passing network for modeling atomistic systems based on the popular atomic cluster expansion formalism the method relies on a clever factorization of higher order terms into products of twobody terms this allows mace to be fast while also taking into account manybody effe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
by restricting can also be viewed as expanding to holomorphic neural networks the authors are able to use a contour integral in the complex plane for finite beta to evaluate a differential used in equilibri... | equilibrium propagation is a biologically plausible form of backpropagation based learning where the true gradient of an energy based model is computed for infinitesimal perturbations in this innovative work authors extend ep using complex analysis that links contour integrals for finite perturbations with the oscillat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present the split poisson gamma spg distribution an extension of the poissongamma distribution to model a discrete nonstationary stochastic process spg has an analytical posterior allowing accur... | reviewers agree that the paper excels in providing a principle pipeline that combines cnns and gps with a poissongamma distribution to provide a generic approach for multiresolution modelling of tumour mutation rates as a whole such combination of techniques addresses a key challenge in computational biology that also ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary clusterformer is the latest proposal for enabling transformers to deal with long input sequences such sequences are particularly problematic for problems like question answering qa or summarization... | the paper attempts to make transformers more scalable for longer sequences in this regards authors propose a clusteringbased attention mechanism where only tokens attends to other tokens in the same cluster this design reduces memory requirements and allows more information mixing than simple local windows using the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to dissect a policy trained for a simple task to extract motor primitives or set of neurons that provides different behaviors or attributes the authors then use these attributes ... | this paper proposes to dissect a trained policy which finds the correspondence between the neuron activations and the motion primitives this enables a human to control the agent to complete complex and diverse tasks even though only one simple task is trained all reviewers agree that the proposed method is a creative s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors consider byzantinerobustness of a distributed learning system in the setting of noniid data distribution the bucketing technique is applied to reduce the heterogeneity across the w... | this manuscript proposes and analyses a bucketing method for byzantinerobustness in noniid federated learning the manuscript shows how existing byzantinerobust methods suffer vulnerabilities when the devices are noniid and describe a simple coordinated attack that defeats many existing defenses in response the primary ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method that jointly optimizes shape appearance and foreground segmentation from a monocular video based on neural fields the author then fits the physical parameters of the scene the ex... | after rebuttal the new version of the paper reads much better and all reviewers were positive despite some remaining criticisms hence the paper should be accepted |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.