Input stringlengths 251 41.6k | Output stringlengths 137 9.7k | input_ids listlengths 157 2.05k | attention_mask listlengths 157 2.05k | labels listlengths 157 2.05k |
|---|---|---|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
thank you for a pleasurable and informative read i consider the writing and structure of the paper to be coherent and well written given an endtoend learning of neural motifs a great deal of time can be a... | this paper is about representation learning for calcium imaging and thus a bit different in scope that most iclr submissions but the paper is wellexecuted with good choices for the various parts of the model making it relevant for other similar domains | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper takes a good step toward developing more structured representations by exploring the use of quaternions in recurrent neural networks the idea is motivated by the observation that in many cases th... | the authors derive and experiment with quaternionbased recurrent neural networks and demonstrate their effectiveness on speech recognition tasks timit and wsj where the authors demonstrate that the proposed models can achieve the same accuracy with fewer parameters than conventional models the reviewers were unanimous ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a procedure for training neural networks via an explicit constraint on the energy budget as opposed to pruning the model size as commonly done with standard compression methods compara... | all of the reviewers agree that this is a wellwritten paper with the novel perspective of minimizing energy consumption in neural networks as opposed to maximizing sparsity which does not always correlate with energy cost there are a number of promised clarifications and additional results that have emerged from the di... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an empirical study on an optimization anomaly which is referred to as the slingshot mechanismeffect by the authors when adaptive optimizers eg adams are used for solving supervised learni... | the paper examines a widely known phenomenon when training neural networks with adaptive optimizers where the training loss cyclically alternates in later stages some evidence is given that in the absence of explicit regularization this is associated with improved generalization the more concrete contribution of the pa... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the work of hindsight experience replay to goalconditioned policy gradient methods hindsight which allows one to learn policies conditioned on some goal g from offpolicy experience genera... | the paper generalizes the concept of hindsight ie the recycling of data from trajectories in a goalbased system based on the goal state actually achieved to policy gradient methods this was an interesting paper in that it scored quite highly despite all three reviewers mentioning incrementality or a relative lack of n... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a framework tree reconstruction error tre for assessing compositionality of representations by comparing the learned outputs against those of the closest compositional approximation t... | this paper presents a method for measuring the degree to which some representation for a composed object effectively represents the pieces from which it is composed all three authors found this to be an important topic for study and found the paper to be a limited but original and important step toward studying this to... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of computing nondata specific perturbations also known as universal perturbations to attack neural networks and take profit of their inherent vulnerability compared to previou... | the topic of universal adversarial perturbation is quite intriguing and fairly poorly studied and the paper provides a mix of new insights both theoretical and empirical in nature however the significant presentation issues make it hard to properly understand and evaluate them in particular the theoretical part feels r... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a survey on 15 datasets related to us criminal justice it describes the us justice pipeline in a flowchart and sorts the datasets with according to it the authors propose a datasheet for each ... | the paper introduces a set of criminal justice datasets to the machine learning community surveying 30 datasets and creating datasheets for 15 of them reviewers appreciated that the paper raises awareness of these datasets in the ml community and the documentation work that the authors have contributed there were two m... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors present a discussion on two mainstream metaleaners with attentional classifiers and threshold metalearners under a unique view of polythetic classification and to address the limit... | this paper analyzes problems of existing threshold metalearners and attentional metalearners for fewshot learning in polythetic classifications the threshold metalearners such as prototypical networks require exponential number of embedding dimensionality and the attentional metalearners are susceptible to misclassific... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides an optimal scaling analysis of locally balanced proposals lbp a recentlyproposed class of informed mcmc algorithms for discrete spaces see in particular 91011 in particular the paper a p... | the reviewers and i agree that the contributions of the paper are of interest and useful addition to the literature therefore i recommend accepting the paper please consider the reviewers comments when preparing the cameraready version | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new sequence to sequence model where attention is treated as a latent variable and derive novel inference procedures for this model the approach obtains significant improvements in mac... | the reviewers of this paper agreed that it has done a stellar job of presenting a novel and principled approach to attention as a latent variable providing a new and sound set of inference techniques to this end this builds on top of a discussion of the limitations of existing deterministic approaches to attention and ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
clear exposition of the derivations motivations related work and experiments very interesting idea a large number and range of competitor models the two tested datasets are very similar it would have b... | meta review the paper proposes a new fewshot learning method using mutual information to model relationships among features quality the paper is technically sound and has a convincing experimental evaluation clarity the paper is well written originality the idea is very interesting and has been demonstrated very u... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary this paper proposes an improved offline rl batch rl algorithm combining the stateoftheart behaviorregularization actorcritic method nair et al 2020 with a modelbased rl technique ntrained probabi... | this paper proposes a method for offline reinforcement learning methods with modelbased policy optimization where they first learn a model of the environment to learn the transition dynamics a critic and the policy in an offline manner they basically learn the model by training an ensemble of probabilistic dynamics mod... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a maximum likelihood approach for irl theoretical results show that the algorithm converges in finite time and that for linear rewards that the mlirl problem is dual with maxentirl and t... | this paper presents a new single loop irl algorithm that avoids the typical policyreward optimization loop in irl algorithms without sacrificing the accuracy of the learned reward function this is achieved through the use of stochastic gradients of the likelihood function the proposed algorithm is proved to converge to... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a method for classification which takes into account the semantic hierarchy of output labels rather than treating them as independent categories in a typical classification setup ... | the paper proposes to take into accunt the label structure for classification tasks instead of a flat nway softmax this also lead to a zeroshot setting to consider novel classes reviewers point to a lack of reference to prior work and comparisons authors have tried to justify their choices but the overall sentiment is ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper identifies label errors in test sets of popular vision text and audio datasets using confident learning the detected label errors are validated by crowdsourced workers from amazon mturk it is imp... | this dataset concerns label errors in test sets for ml benchmarks the reviewers found it welldocumented motivated and overall a compelling contribution | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method which takes as input sequences of video frames of scenes from which it is able to understand the dynamics of objects present in the scene and their interactions and transfer this... | this work presents a novel method h to learn object dynamics from unlabelled videos and shows its benefits on causal reasoning and future frame prediction this paper received 4 positive reviews and 1 negative review in the rebuttal the authors have addressed most of the concerns ac feels this work is very interesting ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers one important question how to fairly compare the adversarial robustness between detectionbased defenses and classificationbased defenses from the theoretical perspective the authors sho... | the paper investigates a very interesting problem of the connections between adversarial detection and adversarial classification theoretically the authors show that one can always ideally construct a robust classifier from a robust detector that has equivalent robustness and vice versa this theorem is only correct wit... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors consider using learningbased method for influence estimation and influence maximization the author proposed a gnnbased to estimate influence as an upper bound based on the estimate... | this paper revisits the problem of influence maximization and suggests using graph neural networks to estimate an upper bound on the influence which can then be used to find good seed sets the paper gives a variety of experimental evidence that the methods improve on various algorithms in the literature there was a wid... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper introduces vlmbench a new benchmark for visionbased robot manipulation compared to the prior counterparts the tasks in this benchmark are compositional in terms of action objects and their attributes ... | the paper presents a benchmark for a domain that is of significant interest to the community and a complete pipeline is proposed and demonstrated the work proposes a systematic way to describe tasks in robotic manipulation problems suitable for the datasetbenchmark presented while reviewers were able to explore the too... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a rejection sampling algorithm for sampling from the gan generator authors establish a very clear connection between the optimal gan discriminator and the rejection sampling acceptance p... | the paper proposes a discriminator dependent rejection sampling scheme for improving the quality of samples from a trained gan the paper is clearly written presents an interesting idea and the authors extended and improved the experimental analyses as suggested by the reviewers | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an dfabased approach to constrain certain behavior of rl agents where behavior is defined by a sequence of actions this approach assumes that the developer has knowledge of what are good... | the paper studies the problem of reinforcement learning under certain constraints on action sequences the reviewers raised important concerns regarding 1 the general motivation 2 the particular formulation of constraints in terms of action sequences and 3 the relevance and significance of experimental results the autho... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a framework for efficient architecture search for graphs this is done by combining a differentiable dartslike architecture encoding with a transfer learning method that searches o... | this paper presents a differentiable neural architecture search method for gnns using gumbel softmaxbased gating for fast search it also introduces a transfer technique to search architectures on smaller graphs with similar properties as the target graph dataset the paper further introduces a search space based on gnns... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is well written it proposes using multiple neural networks one for each subdomain instead of a single pinn over the entire domain because increasing domain size causes low frequencies in the solu... | reviewers generally seemed to be skeptical about this paper one significant concern raised was the scalability of the gridlike spatial decomposition which increases exponentially with the dimension indeed pinns have so far achieved the most success in complicated regimes such as highdimensional pdes for which traditio... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a dataset for benchmarking the performance of ecg and ppg waveform imputation methods by leveraging publicly available icu waveform data and using realistic missingness patterns to creat... | this paper develops a new benchmark for missing data imputation in pulsative signals like ecg using realistic missingness models i expect such a dataset to drive important developments in this understudied area indeed the authors show that standard sota methods fail the reviewers enthusiasm makes this paper a clear acc... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
mbw are proposed to tackle two problems 1 uncalibrated but synchronized videos with few views and 2 a limited manual annotations the main contributions lie in 3 aspects 1 propose a zoo dataset with uncalib... | this paper presents a dataset of uncalibrated pairstriplets of videos of zoo animals the paper also presents a method to label this data in a selfsupervised manner with minimal annotation reviewers appreciated the contents of this dataset and see value for follow up work the method for labelling was also appreciated we... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
there exist metrics for measuring the quality and consistency of standard generative models but these are not applicable to the oneshot setting therefore the authors of this paper introduce and quantify a d... | this paper studies the problem of fewshot generation on the omniglot dataset contrasting fewshot generative models against humans they introduce diversity and recognizability metrics and perform an empirical analysis of how various models are situated in the diversityrecognizability plane relative to humans overall th... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new continual learning problem setup continual knowledge learning ckl and constructs an associated benchmark resource the benchmark is based on slot fillingbased knowledge probing task... | the paper introduces the problem of continual knowledge language learning the authors point out the interesting duality between continual learning and knowledge learning where in knowledge learning one must avoid forgetting timeinvariant knowledge avoid forgetting in cl be able to acquire new knowledge learn new tasks ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to apply neural architecture search nas for connectivity pruning to improve the parameter efficiency of densenet the idea is straightforward and the paper is well organized and easy to f... | the paper proposes to apply neural architecture search for pruning densenet the reviewers and ac note the potential weaknesses of the paper in various aspects and decided that the authors need more works to publish | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an endtoend system that can recognize singlechannel multiplespeaker speech with multiple languages pros the paper is well written it shows the existing endtoend multilingual asr seki ... | the authors present a system for endtoend multilingual and multispeaker speech recognition the presented method is based on multiple prior works that propose endtoend models for multilingual asr and multispeaker asr the work combines these techniques and shows that a single system can do both with minimal changes the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the whole structure of this manuscript is easy to follow and understand with good organization the given method with the sourceadaptive idea is novel in the field of the dirichlet process 2 regarding th... | meta review the paper proposes a nonlinear clustering algorithm based on a dirichlet process mixture model as a latent variable model in the latent space of a normalizing flow in that way the model automatically learns a suitable number of clusters simultaneously with a nonlinear feature extractor the reviews were larg... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper authors propose a monocular imagebased 3d object detection method based on knowledge distillation specifically the monocular imagebased 3d object detector ma et al 2019 is infused with the dep... | this paper received 5 quality reviews with 3 of them rated 8 1 rated 6 and 1 rated 5 in general while there are minor concerns the reviewers acknowledge the contribution of applying knowledge distillation to the problem of monocular 3d object detection and appreciate the sota performance on the kitti validation and tes... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an algorithm and an analysis of its convergence the algorithm propose to learn a model of temporal data y1 yt given input x1 xt the observations are assumed to arise from a determini... | this paper proposes a refinement and analysis of continuoustime inference schemes this paper got indepth criticism from some very thoughtful and expert reviewers and the authors seem to have taken it to heart im still worried about the similarity to gruodebayes but i feel that the clarifications to the general theory... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work tries to understand why features from trained language models can be used to solve classification tasks effectively a language model lm in the analysis is modeled as a feature map f s ri... | the paper attempts to provide a theoretical explanation for benefit of language model pretraining on downstream classification task in this regard the authors provide a mathematical framework which seems to indicate that the distribution of the next word conditional on the context can provide a strong discriminative si... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an investigation of how to finetune a model with multilingual data effectively with a theoretical and empirical evidence they proposed a method to avoid catastrophic forgetting by using i... | the paper proposes a method for finetuning multilingual pretrained language in multiple languages simultaneously the task is formalized as a constrained optimization problem and the upper bound of the forgetting is given in theory a method is developed for multilingual finetuning to minimize the upper bound experim... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper describes an algorithm to tackle model bias in the mpc they address the question of optimal horizon length as well the model errors observed in mpc based systems the paper is well motiv... | the authors put a lot of effort in replying to questions and improving the paper to a point that the reviewers felt overwhelmed pros an interesting way of dealing with model bias in mpc they successfully managed to address the most important concerns of the reviewers with lots of additional experiments and insights ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of boosting test performance of the last layer by crafting random perturbations that are orthogonal to the train feature matrix of the last layer at least in the overparametriz... | though the method suggested in this paper is interesting theoretically motivated and resulted in some practical improvement the reviewers ultimately had low scores the reasons for this are 1 the improvements obtained by this method were rather small especially on the standard datasets cifar imagenet 2 in the main resul... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper proposes an attractive smoothing algorithm via logsupermodular crfs which takes the crf as a regularizer for the dnns extensive experiments on a range of applications demonstrate that even convention... | the paper proposes to use logsupermodular crfs to smooth the dnn models the paper is well motivated and conduct extensive experiments to verify the effective of the attractive smoothing algorithm it could be better if the paper conduct more experiments based on different networks such as rnn and transformer besi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper leverages the recent breakthrough of masked autoencoders mae for the domain of robotics it shows that visual knowledge can be transferred from different domains such as ego4d into specific robo... | this paper uses a masked autoencoder as visual pretraining for robot manipulation tasks the paper shows strong results and received positive initial reviews the additional experiments provided during the rebuttal strengthen the papers contribution claim | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
through both rigorous theoretical analysis and empirical findings this paper extends results on learning using privileged information to general time series governed by linear latent dynamics and potentiall... | this paper considers a particular setting of time series prediction with privileged information a special case can be described as predicting xtk from xt at training time one is also given xt1 xt2 xtk1 and a latent dynamics is assumed the paper presents a learning algorithm that leverages privileged info at train time... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper develops tools for analyzing private algorithms in the framework of gaussian differential privacy gdp gdp is a strengthening of approximate differential privacy similar in spirit to concentrated d... | we thank the authors for their response the reviewers agree that this paper provides contributions in automating privacy analyses under the gaussian differential privacy gdp framework the reviewers also pointed out several drawbacks of the paper most importantly the reviewers do not find the presented applications to b... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates an algorithm for distributed learning with random fourier features the main idea is to sample m random fourier features and split the data into m chunks each chunk is processed on a s... | the focus of the submission is kernel ridge regression in the distributed setting particularly the authors present optimal learning rates under this assumption both in expectation and in probability while they relax previous restrictions on the number of partitions taken the effectiveness of the approach is demonstrate... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new tree mdp theory and formalizes the branching problem as a tree mdp problem under this new formulation the resulting algorithm benefits sample efficiency and credit assignment this... | the paper studies the milp problem by providing a tree mdp framework for a more suitable formulation of the branching problem the reviewers believe that this approach is relevant and novel while in the first round of the review the reviewers had identified a number of concerns such as the applicability of the tree mdp... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes techniques to train ebms according to the length of mcmc trajectories required the paper explores three applications of ebms image synthesis adversarial defense and density estimation ea... | this paper proposed a strategy to train ebms according to the length of mcmc trajectories required the paper covers three settings with the different length of mcmc image synthesis adversarial defense and density estimation the reviewers generally find that there are interesting ideas and promising results in the paper... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows through a set of experiments that the common belief that a large neural network trained then pruned and finetuned performs better than another network that has the same size of the pruned o... | the paper presents a lot of empirical evidence that fine tuning pruned networks is inferior to training them from scratch these results seem unsurprising in retrospect but hindsight is 2020 the reviewers raised a wide range of issues some of which were addressed and some which were not i recommend to the authors that ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new selfsupervised learning framework to enhance language model based on graph information strengths the proposed method is simple and reasonable the experimental studies are extensiv... | in this submission the authors presented a framework giant for selfsupervised learning to improve lm by leveraging graph information reviewers agree that the method is somewhat novel the partial theoretical analysis is interesting and the evaluations are strong we thank the authors for doing an excellent job in rebutta... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the online inference and learning problems for nonsymmetric determinantal point processes ndpps the authors use the online greedy algorithm for map inference and modify the learning objec... | this paper studies online map inference and learning for nonsymmetric determinantal point processes ndpps the main contribution is an online greedy algorithm surprisingly they show that their algorithm outperforms various offline algorithms on realworld datasets that said the main concern was the novelty with respect t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a matrix decompositionbased method to capture spatial long range correlation in the neural network the proposed method employs an optimization method ie nonnegative matric factorization ... | this paper introduces an alternative to selfattention based on matrix factorization and apply it to computer vision problems such as semantic segmentation the method is simple and novel and obtains competitive results compared to existing approaches the reviewers found the paper well written and easy to understand for ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a novel attention mechanism and a new objective function that mitigates the distribution shifts caused by masked tokens for downstream tasks in mlm it demonstrates superior performance ac... | all reviewers gave though not very strong positive scores for this work although the technical contribution of the paper is somewhat incremental the reviewers agree that it solidly addresses the known important issues in bert and the experiments are extensive enough to demonstrate the empirical effectiveness of the m... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is generally well written section 3 is a little confusing as its not readily clear which part of the model is using flows or what are the flow parameters that needed to be estimated how will t... | this paper presents a model for spatiotemporal point processes using neural odes some technical innovations are introduced to allow the conditional intensity to change discontinuously in response to new events likewise the spatial intensity is expanded upon that proposed in prior work on neural sdes reviewers were gene... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper addresses the arc dataset by reformulating the question using embeddings from conceptnet their model selects a few terms from the question using the embeddings from conceptnet rewrites t... | this paper presents a method for finding important tokens in the question and then use prior knowledge from conceptnet to answer questions in the arc dataset pros combining finding essential terms using domain knowledge and textual entailment cons none of the proposed methods are novel the paper combines a few c... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a very interesting idea if i understand it correctly which is to implement conditioning on eg a speaker embedding vector via a parametrization of the layertolayer activation functions of... | the authors propose a novel method for conditioning deep neural network they replace the activation function with a linear combination of activation functions eg relu the weights for the activation functions are dynamically computed from the input during inference and training the approach is evaluated on standard publ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors notice that popular ssl evaluation protocols are often constrained to computer vision tasks and are generally timeconsuming and environmentally unfriendly based on this they construct usb by sel... | this article observed an active rebuttal period and definitely went to a final form that should be published at this venue as highlighted by the latest updates of all reviewers it will be a good add to the broad multi domain semisupervised community | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows that the count median sketch and the count min sketch for frequency estimation can be made differentially private by adding a small amount of gaussian noise the sketches are then used for qu... | this work constructs differentially private linear sketches for frequency estimation and related problems it shows that count minmedian sketch can be made dp by adding noise this is an interesting contribution the reviewers had concerns about the novelty of the paper the updated version of the paper does a reasonable a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this works deal with the imagelevel annotation problem in fewshot classification during training time given support and query images the authors first split images into patches use a transformer to extract ... | this paper tackles fewshot learning with a transformer architecture and inspired by the intuition that finegrained information is ignored in existing methods uses an innerloop token reweighting method to improve results overall the reviewers appreciated the use of modern architectures vision transformers the reasonab... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of imitation learning from observations only no access to expert actions in the setting where expert and agent are in different mdps more precisely transition dynamics are dif... | the submitted paper considers the very interesting problem of imitation learning from observations under transition model disparity the reviewers recommended 2x weak accept and 1x weak reject for the paper main concerns about the paper regarded clarity of the presentation complicatedness of the proposed method and expe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends prior results namely that vaes are able to learn the principal components the novelty is the extension to a new distribution multinomial logisticnormal distribution this is achieved by us... | authors extend the probabilistic pca framework to multinomialdistributed data scalable estimation of principal components in the model is achieved using a multinomial variational autoencoder in combination with an isometric logratio ilr transform the reviewers did not agree on the degree of novelty of the paper to pc e... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies the convergence of adaptive gradient methods under an interpolation assumption showing for example these methods can converge at an o1t instead of o1sqrtt rate when perfect in... | dear authors the paper contains many interesting and novel ideas indeed tuning stepsize is very time and energyconsuming and deriving and analyzing new adaptive algorithms has not only theoretical benefits but more importantly is a key when training more complicated ml models the paper contains many weaknesses as not... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a bayesian inference methodology incorporating coresets with hamiltonian flows the paper demonstrates theoretically the challenges that both coresets and variational inference via hamilt... | all reviewers agree that the paper proposes an interesting approach to bayesian inference incorporating coresets with hamiltonian flows although some reviewers have some technical concerns at their first reviews basically those have been resolved by the authors responses thus although there are some points that should ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new loss function to improve the performance of neural network models trained by dpsgd the new loss function is a weighted average of the sum of squared error the focal loss and a penal... | the reviewers all seemed to agree that the investigation of other losses is an interesting direction of study and acknowledged there was some empirical performance improvement for standard computer vision tasks however they felt the justification of the specific form of loss was a bit shaky and heuristic and were furth... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors investigate the token embedding space of a variety of contextual embedding models for natural language using techniques based on nearest neighbors clustering and pca they report a vari... | this paper presents a broad exploratory analysis of the geometry of token representations in large language models with a focus on isotropy and manifold structure and reveals some surprising findings that help explain past observations pros clear and surprising analytical findings concerning a broad and widelyused fa... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
valuation criteria based on gametheory eg shapely value have been used in the ml literature for analyzing feature importance and for data subset selection these criteria serve as solution concepts for coope... | this paper considers the valuation problem for a cooperative game and shows that some classical metrics eg shapley value can be considered as approximations to the maximum entropy reviewers were generally very positive they especially praised the novelty and writing quality while having some concerns about the quality... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to use a multitask rl policy trained offline with i data stateactionstatereward tuples for a collection of tasks as a starting point to finetune online 2 new policies for a new similar ta... | please check the comments of the reviewers in detail strengths interesting combination of existing ideas experiments with a real system lowcost arm weaknesses not highly novel combination of existing ideas comparison with the stateoftheart could be stronger using prior data has been explored several times in th... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve unstructured pruning as a bilevel optimization problem to find pruning masks and values of unpruned weights they define bilevel equations and perform two sgdprocesses iteratively th... | the reviewers had significantly diverging opinions on this manuscript the main issue under discussion was whether the framing of this paper as a lottery ticket work was correct given that the main evaluations use no reinitialization or rewinding on balance i think that while one reviewer was very negative about the pap... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies the relationship between the intrinsic dimension of images and sample complexity and generalization the authors suggest to use a variant of the mle method of levina bickel 2004... | there was a consensus among reviewers that this paper should be accepted as the authors addressed reviewers concerns in the discussion phase this paper is wellwritten and easy to read it provides a coherent story and investigation on two important hypotheses that natural images have a lower intrinsic dimension than the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript introduces a new method for the reconstruction of continuous variability in cryogenic electronmicroscopy cryoem based on amortized inference and neural network autoencoders while amortized i... | the paper studies the problem of simultaneously estimating poses and conformation of a biomolecule cryoem images it presents a pipeline which integrates reconstruction and conformation estimation leading to significant time savings compared to methods that alternate between accurately estimating poses and conformations... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the wildtime collects 7 temporal outofdistribution datasets among which 2 are image datasets 1 tabular dataset 1 graph molecular dataset and 3 text datasets the paper aims at time domains and usedefine temp... | i hereby sort the strengths and weaknesses that were mentioned together strengths the usefulness to the community and need to develop methods that address ood data paper wellwritten weaknesses there are some questions about the datasplit which seems major but also addressed adding locational shift op top of the ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the goal of this paper is to improve our understanding of rewardagnostic metrics drawn from the literature through comparison with human behaviour and task reward this paper compares two intrinsic ... | the reviewers agree that the paper in its current form is not strong enough to allow for publication there are specific weaknesses that need to be tackled a better correlation study a clearer relationship to existing literature and improvement on the novelty clearer more precise use of descriptions the authors are en... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an interesting paper that proposes abstractions based on return distribution similarities to be used as auxiliary tasks to aid in learning the idea is quite promising and i think could open up new a... | rcrl is returnbased contrastive learning for reinforcement learning where the label is whether two samples belong to the same return bin the reviewers found this to be a well executed paper with good theoretical and experimental results | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the power of abstention in robust classification a classifier that has the power of abstention can refuse to answer the query because it is unsure of the answer for robust classification ... | the paper considers the problem of abstention in robust classification a number of issues were identified in the formal framework and the writing was also not up to scratch the authors should take into regard the very many constructive suggestions made by the reviewers in preparing a revision | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an attention based recurrent approach to oneshot learning it reports quite strong experimental results surpassing human performancehbpl on the omniglot dataset which is somewhat surprisi... | this paper shows some strong performance numbers but i agree with the reviewers that it requires more analysis of where those gains come from the model is very simple which is a positive but more studies such as ablation studies and other examples would help a lot | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers inference in hidden continuoustime semimarkov chains the authors derive a tractable algorithm for inference in these models notably the authors consider the challenging case of irregula... | all of the authors agree that the work meets the neurips standards with the two lowestscoring reviewers upping their recommendation from 4 to 5 on rebuttal the work is described as a fundamental and important problem and timely a good contribution reviewer 6ntb summarises the technical contribution the paper general... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of estimating the change in the performance of commercial ml apis ml as a service as the models are updated over time experiments are for 2020 vs 2021 it formalizes the prob... | the paper studies real world ml apis performance shifts due to api updatesretraining and proposes a framework to efficiently estimate those shifts the problem is very important and the presented approach definitely novel my concern is about limited novelty of the theoretical analysis and weak experimental evaluation j... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the average sensitivity of the euclidean k ellclustering problem which measures the stability of the output in total variation distance against deleting a random point from the input da... | i agree with the reviewers that the topic is essential the notion of average sensitivity on euclidean clustering is interesting and that the paper addresses important problem that is very relevant for the inevitability noisy data in the big data era as complained the dynamic data section is a bit misleading compared to... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel metalearning approach to unsupervised representation learning where an update rule for a base model ie an mlp is metalearned using a supervised metaobjective ie a fewshot linea... | the reviewers all agree that the idea is interesting the writing clear and the experiments sufficient to improve the paper the authors should consider better discussing their metaobjective and some of the algorithmic choices | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a ganbased approach for dealing with adversarial instances with the training of a robust discriminator that is able to identify adversaries from clean samples and a generator that... | the paper proposed a gan approach to robust learning against adversarial examples where a generator produces adversarial examples as perturbations and a discriminator is used to distinguish between adversarial and raw images the performance on mnist svhn and cifar10 demonstrate the effectiveness of the approach and in ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of results this empirical paper finds that deep neural network sharpness as measured by the top eigenvalue of the hessian tends to saturate at or hover just above the value 2eta where eta is the ste... | the paper demonstrates that gradient descents generally operates in a regime where the spectral norm of the hessian is as large as possible given the learning rate the paper presents a very thorough empirical demonstration of the central claim which was appreciated by the reviewers a central issue to me in accepting... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the floating point unsoundness of neural network verification procedures and shows that the results from such verifiers can not be trusted to drive home the message of the paper the au... | there are many recent methods for the formal verification of neural networks however most of these methods do not soundly model the floatingpoint representation of real numbers this paper shows that this unsoundness can be exploited to construct adversarial examples for supposedly verified networks the takeaway is that... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper focuses on the field of offpolicy reinforcement learning specifically the authors propose a modelbased reinforcement learning method on top of actorcritic methods the proposed method tra... | all reviewers agreed that the novelty of the method was not at the level expected for publication and also raised a number of technical concerns regarding the approach there was no response from the authors on these issues hence the reviewer consensus is that the paper is not ready for publication at this time | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops an approximate secondorder policy optimization method to overcome the slow convergence of policy gradient methods this paper proposes an entropy regularized version policy gradient metho... | this is a nice paper which shows that klregularized natural policy gradient assuming exact access to the mdp meaning no noise in the reward and q function estimates which achieves linear convergence can use ideas from quasinewton methods and recover their quadratic convergence given the excitement surrounding policy g... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper collects and adapts previously published datasets to construct a standardized benchmark for tinyml methods which previously suffer from poor comparability due to softwarehardware heterogeneity the... | the paper proposes a benchmark for machine learning models running on lowpower devices all reviewers saw value in the proposed benchmark but initially had some minor concerns and requested more details about how to run the benchmark wanted to see more evaluation results and wanted to see more discussion about connectio... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update the authors went out of their way to address my concerns about the absence of the unbalanced class setting they added a new datasets svhn new results table 4 and updated some of their explanations al... | the paper proposes to maximizing the mutual information to optimize the bin for multiclass calibration the idea technique and presentation are good the paper solves some multiclass calibration issues the author should revise the paper according the reviewers comments before publish | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors first show that under some assumptions smoothness and convexity on the enforcing individual fairness if on the source distribution can potentially improve the performance of ml mod... | the initial reviews were divergent during the rebuttal and discussion phase however many of the raised concerns are addressed propertly leading slightly towards accept while some of the issues are not checked yet for whether to address them i believe the authors response answer them adequately hence i recommend the acc... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
brief summary of the paper this work discusses the transformation of planning tasks based on a finite domain representation fdr into tasks based on factored state transition systems fts the transformation i... | dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses an interesting problem uncertainty estimation for gbrt the authors propose a knearest neighbors approach based on an affinity between the testing sample and training samples to save com... | this paper presents a method for extending any gbrt point predictor to produce probabilistic predictions such that the aleatoric uncertainty can be quantified it computes a nonparametric distribution around a prediction using the k nns where the distance is measured by a kernel that is similar to the random forest ker... | [
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247,... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a new benchmark protocol iblurry for continual learning in this benchmark protocol the class distribution is class incremental and has blurry task boundaries and the train... | the authors propose a new continuallearning setting with a few distinguishing features 1 the task boundaries are blurry in other words past task samples can reappear 2 training is online and 3 evaluation using online accuracy instead of average accuracy the authors also propose a useful method for this scenario and ben... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers learning boolean functions represented by readonce dnfs by using neural networks the neural network architecture consists of a hidden layer with 2d components which is rich enough to exp... | this paper studies how twolayer neural networks can learn dnfs the paper provides some theoretical analysis together with empirical evidence the direction of analyzing how neural networks learn certain concept classes is definitely extremely important and the authors do make some progress towards this direction howeve... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method for fast and efficient classification of sequential data the guiding principle is that for some data modalities it is not necessary to see the whole sequence in order to make a ... | the authors propose a rank coding scheme for recurrent neural networks rnns inspired by spiking neural networks in order to improve inference times at the classification of sequential data the basic idea is to train the rnn to classify the sequence early even before the full sequence has been observed they also intr... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work targets the issues in learning from demonstration in order to achieve the ability of skill reuse transferability and improve the sample efficiency to address the issues the authors propose an opt... | description of paper content the paper describes a technique to learn option policies using behavioral cloning and then recombine them using a highlevel controller trained by rl the underlying options are frozen the method is tested in two published environments a discrete grid world environment and a continuous actio... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a vaebased approach to semisupervised learning of dependency parsing the encoder in the vae is a neural edgefactored parser allowing inference using eisners dynamic programming algorithm... | this paper proposes a method for unsupervised learning that uses a latent variable generative model for semisupervised dependency parsing the key learning method consists of making perturbations to the logits going into a parsing algorithm to make it possible to sample within the variational autoencoder framework signi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this paper introduces curriculum learning to semisupervised keypoint localization which is an automatic pseudolabeled data selection method the method uses reinforcement learning to learns a series of dyn... | this paper proposes a pseudolabeled data selection method for semisupervised pose estimation the investigated task in this paper is practical and useful the framework is well designed and reasonable and extensive ablation studies are conducted to test the efficacy of the method after discussion all the reviewers recomm... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents two ar techniques for outofview target guiding awareness and variants in two experiments with human participants in the first experiment two variants of the sous technique bsous and fsou... | overall the reviewers had positive responses to the paper although they also had concerns about the technical contribution of the paper and have asked the authors to provide more details about different aspects of their study including the relationship between the two studies i will make an overall recommendation that ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work presents a novel neural model xref for entity linking in chinese online news comments two new datasets of news articles and comments in entertainment and product domains are collected and ... | all reviewers are fairly positive about the paper that deals with entity linking in chinese online news comments the key strengths of the paper are using additional context from associated articles by using data augmentation novel attention mechanism over news articles guidance to article attention values the paper is ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address the problem of representation learning in which datagenerative factors of variation are separated or disentangled from each other pointing out that unsupervised disentangling is hard des... | this is a proposed method that studies learning of disentangled representations in a relatively specific setting defined as follows given two datasets one unlabeled and another that has a particular factor of variation fixed the method will disentangle the factor of variation from the others the reviewers found the met... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to address the domain generalization problem in semantic segmentation a simple and effective adversarial augmentation technic is proposed which changes global statistics at the image level th... | simple and practical way to do better at domain generalization when it comes to semantic segmentation advstyle can generate images that are hard during training and prevent the model from overfitting on the source domain given that it works well is relatively simple to implement and conceptually sound i think it will a... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper is clear and very well written it makes important steps towards understanding if sparse convolutional neural networks can represent a substitute for their dense counterparts moreover it u... | the paper shows empirically that training unstructured sparse networks from random initialization performs poorly as sparse nns have poor gradient flow at initialization besides the authors argue that sparse nns have poor gradient flow during training they show that dst based methods achieving the best generalization h... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a transformerlike model graph multiset transformer to perform the graph poolaggregation overall the technique part is concrete and clear and the experimental evaluations are comprehensiv... | the paper addresses a very important issue in gnn the definition of a welldefined pooling function for node aggregation the proposed graph multiset transformer although not entirely new seems to be useful in practice issues related to experimental results as well as problems with presentation have been solved by the au... | [
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281,
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403,
2797,
432,
9040,
67,
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... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies policy optimization in reinforcement learning with wasserstein and sinkhorn trust regions compare to the standard trpo which based on kldivergence the proposed wpo and spo go beyond the p... | this paper proposes two extensions of the trpo algorithm in which the trust region is defined using the wasserstein distance and the sinkhorn divergence the proposed methods do not restrict the policy to belong to a parametric distribution class and the authors provide closedform policy updates and a performance impro... | [
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2152,
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a deeplearningbased extension to accelerated failure time modeling for survival analysis and introduce a rankregressiontype loss function based on gehans rank statistic this is a somew... | most reviewers came to the conclusion that this work lacks novelty and theoretical depth further severe concerns about the validity of some statements and about the experimental setup have been raised the rebuttal was not perceived as being fully convincing and nobody wanted to champion this paper i share most of thes... | [
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19947,
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the federated learning problem in this model local clients are allowed to jointly train a model without sharing user data and the central goal is to design communication efficient algorit... | this paper proposes a federated averaging langevin dynamics fald for numerical mean prediction with uncertainty quantification under the setting of federated learning convergence analysis for the proposed method under the smoothness and strongconvex assumptions is also provided and the results are summarized in theorem... | [
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