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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper tackles the problem of dynamic inference where the forward graph will depend on the input data it focuses on real speedups instead of theoretical one this makes the work more valuable there is a late... | the paper proposes latencyaware spatialwise dynamic neural networks under the guidance of a latency prediction mode reviewers arrived at a consensus to accept the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study an interesting problem called openended content style recombination ie recombining the style of one image with the content of another image in particular the authors propose ... | the paper is on the borderline from my reading the paper presents a reasonable idea with quite good results on novel image generation and oneshot learning on the other hand the comparison against the prior work both generation task and oneshot classification task is not convincing i also feel that there are many work w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a form of variational inference vi approach for likelihoodfree inference lfi named sequential neural variational inference snvi its main advantage over other vi approaches for lfi is com... | the authors propose a wellpresented approach to likelihoodfree inference the reviewers are all in alignment in recommending this paper for acceptance there was a healthy discussion between authors and reviewers where the authors have already incorporated many of their recommendations the potential for this methodology ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes the expectigrad algorithm that normalizes the exponential moving average ema of first moments on the fly this avoids normalizing historical gradients by future gradients the norm... | the paper proposes a new adaptive optimization algorithm which is claimed to have better convergence properties and lower susceptibility to gradient variance reviewers found the idea of normalizing on the fly to be interesting but raised some important concerns although similar to adagrad expectigrad has a very importa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the change point detection problem the classical studies in change detection problems are based on the known prior and posterior parameters ie knowing the distribution parameters before a... | the paper treats a relevant and challenging problem in sequential learning scenarios how to detect distributional change over time when the pre and postchange distributions are not known up to certainty all reviewers more or less acknowledge that the paper presents a new approach towards solving this inference problem... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work presents several enhancements to the established modelagnostic metalearning maml framework specifically the paper starts by analyzing the issues in the original implementations of maml inc... | this paper proposes several improvements for the maml algorithm that improve its stability and performance strengths the improvements are useful for future researchers building upon the maml algorithm the results demonstrate a significant improvement over maml the authors revised the paper to address concerns about ove... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
new convergence results for momentumsgd and adagrad paper summary this paper presents new proofs to the convergence of momentumsgd and adagrad the new theoretical results show they both converge in the sens... | the paper presents an asymptotic analysis of the convergence of the last iterate of msgd and adagrad this result extends previous work providing stronger results under weaker assumptions even if these topics received less attention from the community they are key problems in stochastic optimization the reviewers and i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a temporal bn method to train snns with high accuracy the methos is simple and effective as suggested by authors results the main comment i ahve is on the novelty of this work the author... | the paper proposes a method of batch normalization that takes into account the temporal dimension tebn and empirically shows that tebn can significantly improve the accuracy of spiking neural networks snns theoretical analysis also provides new insights into how snns should be trained to improve accuracy particularly ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method that addresses the covariant shift problem that can happen between the training parameter distribution induced by curriculum and testtime parameters in adaptive curriculum learn... | this work proposes a prioritized level replay and bayesian inference based algorithm for better generation of curricula via unsupervised environment design it tries to address the problem of covariate shift induced by curriculum itself with respect to the test distribution overall this has been wellreceived by reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper compiles a list of 14 tasks across various protein datasets to serve as a potential benchmark in training sequencebased protein models these tasks focus on a range of biological properties of int... | this work presents a diverse benchmark for multiple proteomic tasks including comprehensive results for both singletask and multitask learning the paper is well written and the benchmark is essential to the field the mean reviewers score is near acceptance perhaps most importantly the reviewers comments have been addre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
radiologist evaluation based assessment of automatic segmentation judges the segmentation as whether appropriate for recording in patient records 4 radiologists were employed intermediate size data n49 m... | the contribution of the paper is very small results are inconclusive and there are concerns about the validity of the statistical tests performed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i do not have the background to give a reasonable assessment so please ignore this review i do not have the background to give a reasonable assessment so please ignore this review i cant see any limitatio... | this paper proposes and analyzes a thompsonsampling based method to learn to control continuoustime linear systems when the costs are quadratic the authors first propose an algorithm that guarantees stabilization of the diffusion process and then give a second thompsonsamplingbased method with regret bounds and estimat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a very wellwritten paper which proposed a way to accelerate the valueiteration of mdp the method is the socalled andersonmixing method it replaces the policy evaluation step by solving a smaller lin... | the paper proposes to use anderson mixing to accelerate value iteration and dqn the idea is interesting with some theoretical and empirical support however reviewers feel that the contribution is somewhat limited and certain parts eg the dp view can be further developed to strengthen the technical contribution furth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proves a new assumption named unilateral concentration assumption as a necessary and sufficient dataset coverage condition for achieving optimal ne strategies in offline markov game setting a new ... | this paper is a clear accept with very positive reviews overall i trust that the reviewers will address the minor concerns raised by the reviewers in their final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a technique that enables zeroshot objectgoal navigation given a text description of an object that is reachable in a 3d environment an agent needs to find the object using visual input th... | this work introduced a method for objectgoal navigation in openworld settings the crux of the approach is to use a pretrained visionandlanguage model clip to associate embeddings of image goals and textual descriptions of the objects such that the model can perform zeroshot navigation given textual goals this paper re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a contrastive multimodal generative model framework for including unrelated datapoints as well as related datapoints in the learning of the multimodal model using such a contrast... | the paper proposes an efficient method to train generative models on multimodal data using a contrastive approach usually training such models requires significant training data to be able to learn patterns the authors propose a variational autoencoder approach that enables multimodal learning of models using a dataeff... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new method to incorporate user constrains in improving crosssurface mappings after growing regions around user point constraints and parameterizing them on both involved shapes into 2d ... | the three reviewers found that the paper makes a small contribution within the domain on crosssurface mapping however the paper would have benefited from deeper evaluation verification there are also a number of questions brought up by the reviewers that should be addressed before publication eg how initial regions ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper formulates the blackbox adversarial attack as a gradient estimation problem and provide some theoretical analysis to show the optimality of an existing gradient estimation method neural evolution... | this paper is on the problem of adversarial example generation in the setting where the predictor is only accessible via function evaluations with no gradients available the associated problem can be cast as a blackbox optimization problem wherein finite difference and related gradient estimation techniques can be used... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is written rather well and addresses relevant research questions in summary the authors propose a simple and intuitive method to improve the defense on adversarial attacks by combining random per... | this paper presents a new defense against adversarial examples using random permutations and a fourier transform the technique is clearly novel and the paper is clearly written however as the reviewers and commenters pointed out there is a significant degradation in natural accuracy which does not seem to be easily r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present their work on analyzing various action recognition models specifically they present a toolkit that can be used to evaluate action recognition models an evaluation of 74 released video ac... | the paper provides an evaluation toolkit and leaderboard for comparing current action recognition models on the famous kinetics400 dataset for their background bias this is achieved by using publicly available training weights and carefully curating a validation set to quantitatively assess the impact of such bias bef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new debiasing method for contextualized word embeddings specifically for attentionbased text encoders at a very high level the proposed method tries to calibrate the attention scores o... | this paper presents a debiasing technique that modifies a models attention mechanism by equalizing attention across social groups the authors show that their approach which is perhaps the first of its kind to look at transformer based models and debiasing instead of fixed word representations work well in debiasing ac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extend the tensor programs that was initially proposed for real valued neural networks to complex valued neural networks cvnn and as a result providing the foundations to calculate the the neural... | this paper extends yangs tensor program paradigm to the setting of complexvalued neural networks and shows that under certain conditions the infinitewidth training dynamics under realvalued backpropagation are equivalent to those of realvalued networks numerical evidence supporting the main conclusions is presented and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how to initialize via spectral initialization and regularize dnns via frobenius decay the benefits of spectral initialization and frobenius decay are demonstrated via many experiments thi... | this paper applies spectral initialization and weight decay to neural nets with factorized layers although these ideas have been extensively studied in other areas formalizing and applying them to deep neural nets is of potential interest to the community the simulation results are nice especially the experiments on co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the noise covariance of gradients and fluctuation covariance of parameter distribution in the limiting setting of linear regression and for a general loss trained with discrete sgd strengt... | all the reviewers think that the work is significant and new therefore they support the paper to be published at iclr 2022 given the strong results and the accept consensus from the reviewers i accept the paper as spotlight the authors should implement all the reviewers suggestions into the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present the latent domain learning aproach to multidomain learning without domain annotations by introducing sparse latent adaptation sla for learning sparse domain gates without domain labels t... | the problem setting studied in this paper is an extension of the problem setting of multidomain learning where domain information is missing in training this is an interesting and practical problem setting however regarding technical novelty the contributions are relatively limited specifically first the overall idea i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a problem related to zeroshot learning it aims to answer the question of what is the worst case performance of a classifier if only given a binary attributeclass association matrix the lo... | the paper provides a lower bound on the error attainable by a zeroshot learning method in terms of a linear program involving the classattribution matrix which is provided as sideinformation all the reviewers agree that the analysis is novel and studies an important problem the main concerns are that a the problem its... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper develops a method to learn a binary classifier based only on pairwise comparison data for example the classifier learns to classify pictures of people as adult versus child based on pairwise compa... | this paper has been evaluated by three expert reviewers two of whom recommended rejection and one acceptance two of the three reviews are particularly detailed and thorough both point out a few points of conceptual issues that leave the reader confused these key issues have not been addressed sufficiently in the rebut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written the method is interesting and the results of the unsupervised approach are comparable with supervised ones the activation maps are also interesting and add some interpretability to... | the highquality review highlights the main positive aspects or a wellwritten paper with a good methodological contribution i agree with their opinion and recommend acceptance there are a few important suggestions that should be fixed for the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors correctly assert that accurate brain age prediction is confounded by natural heterogeneity of brain shape and other factors and propose a sound approach to disentangling the latent space of a de... | while reviewers pointed out a desire for quantitative comparison to additional other work some comparison already does exist in the paper this paper proposes a new approach that allows for brain age prediction ageconditioned template generation and subjectspecific aging simulation and demonstrates results on a robustly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two methods for estimating smoothness of the prediction function learned by a deep network 1 an extension of rahaman et al to multiclass classification by adding a sine of desired fre... | this paper expands the spectral bias which has been studied in a constrained situation such as the fullyconnected network to a more practical situation of a multiclass classification situation and proposes a novel technique that can measure the smoothness through linear interpolation of test examples two reviewers hig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper is about trying to learn a function from typed inputoutput data so that it can generalize to test data with an inputoutput type that it hasnt seen during training it should be able to use... | pros the paper is wellwritten and presents a nice framing of the composition problem good comparison to prior work very important research direction cons from an architectural standpoint the paper is somewhat incremental over routing networks rosenbaum et al as reviewers 2 and 3 point out the experiments are a b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of paper for the few shot text classification task train a model with maml where only a subset of parameters attention parameters in this case are updated in the inner loop of maml the empirical res... | this paper describes an incorporation of attention into model agnostic meta learning the reviewers found that the paper was rather confusing in its presentation of both the method and the tasks while the results seemed interesting it was difficult to frame them due to lack of clarity as to what the task is and the rela... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary the paper proposes a novel method for knowledge removal in a mcmc context the contribution is fourfold first a theoretical analysis relates the mcmc unlearning problem to an optimiziation problem... | the article proposes an approach to alter the approximate posterior distribution in order to remove some of the information unlearning the approach is applicable when the approximate posterior is obtained via stochastic gradient mcmc methods unlearning is done by shifting the approximate true posterior by some value de... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a multistage solution to unsupervised framewise segmentation in videos the common fate heuristic is used to provide initial object detections and segmentations then vae based model is us... | this paper studies the challenging problem of objectcentric generation of visual scenes while the paper has some novel ideas that make it interesting its quantitative and qualitative comparison with existing methods is currently premature to allow drawing conclusions with sufficient evidence instead of claiming that e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies inverse reinforcement learning with a vectorvalued setting a key motivation of the paper as suggested by its title is to incorporate and analyze the complex human motivations the propose... | pros new multiobjective approach to irl new algorithm strong results realworld dataset cons straightforward theoretical extensions unclear motivation inappropriate empirical assessment metrics weak rebuttal all the reviewers feel that the paper needs further improvements and while the authors comment on some ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper obtains stateoftheart results in terms of quantumhybrid perceptron 2 the paper is well written i am afraid i do not have sufficient expertise to weigh in on this i think the paper is cleanly ... | meta review the reviewers and myself agree that this is an interesting quantum take on a classical problem generalization of the perceptron algorithm in the presence of margin the hybrid classicalquantum algorithm using grover search proposed has a quadratic improvement over the classical algorithm the proof technique... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper outlines a connection between the causality literature and the advantage function in reinforcement learning the advantage function can be viewed as an estimate of the causal effect of an action o... | overall the proposed approach is wellmotivated simple to implement and appears to work well empirically the connection between the advantage function and causal concepts is appreciated by some of the reviewers but a point of confusion and viewed as insufficiently motivated by others i recommend acceptance for this pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers an actorcritic scheme for multiagent rl where the critic is specific to each agent and has access to all other agents embedded observations the main idea is to use an attention mechanism... | the authors propose an approach for a learnt attention mechanism to be used for selecting agents in a multi agent rl setting the attention mechanism is learnt by a central critic and it scales linearly with the number of agents rather than quadratically there is some novelty in the proposed method and the authors clear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper describes a selfsupervised framework to extract graph motifs and use them as input for downstream contrastive learning the framework contains three components a motif guided segment... | this paper presents a pretraining strategy for learning graph representations using a graphtosubgraph contrastive learning objective that also simultaneously discovers motifs pretraining for graph representation learning is an important research topic and this work presents a unique solution leveraging the fact that gr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies decentralized stochastic variational inequalities svi the authors present lower bounds for the communication and computation complexities of decentralized svi the authors construct new al... | the paper makes a significant contribution to the literature on distributed svis the results provided are fairly comprehensive both lower bounds and algorithms achieving the lower bounds are provided hence the paper is recommended for acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a strategy to learn class function on groups and by extension on homogeneous spaces the paper is motivated by applications in inverse problems and image processing eg particle alignment ... | the reviews received for this paper raise several critical concerns to which the authors have not provided a response thus in its present form the paper is not ready for publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a latent variable model for modeling multiagent trajectories the authors present a generative framework for modeling and annotating trajectories of multiple agents over time and space th... | this paper studies an interesting problem and overall the reviewers agreed the exposition and validation are sufficient we encourage the authors to consider the issues raised by the reviewers and further improve the work in the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an empirical study to explore the scaling law for training transformerbased large language models llm in this paper the scaling law is the tradeoff between model size and training tokens... | four experts reviewed this paper and they all recommended acceptance the paper finds that current transformerbased large language models llm are significantly undertrained this is likely to be of great interest to the ainlp community as it challenges current practices and recommendations from prior work the papers main... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a sparse training method based on finegrained block sparsity the main insight is that shuffled block sparsity where entries in the weight matrices are permuted to form blocks can be hardw... | this paper studies dynamic sparse training dst with finegrained structured pruning a topic of practical relevance the authors proposed hardwarefriendly shuffled blocking and simultaneously pruneandgrow while this paper seems to be a mild extension from chen etal 2022 the contributions are clear one main concern raised ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper test a hypothesis that adding affine transformation and homography estimation as an auxilliary loss in an image recognition task will improve performance in experiments on cifar10 cifar100 and sv... | all four reviewers raised concerns on the limited technical novelty and insufficient experiments they unanimously recommended a rejection i carefully read the authors rebuttal but did not find strong reasons to go against the reviewers recommendations the reviewers made excellent points to further improve the paper the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem conducting untargeted poisoning attacks against graph neural networks by pertaining edges of the original graph the authors identified the problem of attack loss design which ... | the authors study graph modification attack through editing the edges in the setting of untargeted poisoning and show that negative cross entropy is not a good candidate for the attack loss instead they propose a novel attack objective to study the problem the reviewers found the topic timely and of interest to the c... |
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 manuscript proposes fasg a selftraining model with gcn to improve node classification in graph fasg introduces a checking part to add new nodes as supervision to enhance classification model experiment... | this paper presents a selftraining idea for gcn models to help improve the node classification the reviewers agreed that the technical contribution of the proposed approach is limited and the performance improvement seems marginal |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors study the problem of neural ltr models they discuss why neural ltr models are worse than gradient boosted decision treebased ltr models and introduce some directions to imp... | three reviewers are positive while one is negative the negative reviewer is wellqualified but the review is not persuasive overall this paper should be published as a wakeup call to the research community unfortunately the lesson of this paper is similar to that of several previous papers in particular armstrong t g m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the following points summarize the paper the paper starts with showing that there are problem instances mathcalh mathcalu which are not learnable by local lernears with access to mathcalucdot on only train... | a strong theoretical paper that presents novel results on adversarially robust learning algorithms the paper designs minimax optimal robust learners and in the process identifies a key property namely locality of existing algorithms that leads to suboptimality the paper also resolves an open question from montasser et ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is motivated by the situation where a machine learning algorithm has development adjustment and we would like to reuse the tuning results of previous hyperparameter optimization the paper calls it... | the paper has been actively discussed both during and after the rebuttal phase i enjoyed and i am thankful for the active communication that took place between the authors and the reviewers on the one hand the reviewers agreed on several pros of the paper eg clear well presented manuscript the presentation of practi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of training an ensemble of learning algorithms so to boost the diversity among single learners while preserving the accuracy of each learner the paper is well written the a... | this paper proposes a new method of learning ensembles of neural networks based on the information bottleneck theory which increases the diversity in an ensemble by minimizing the mutual information between latent features of the different ensemble models it shows promising results on classification calibration and unc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel unsupervised skill discovery algorithm beginning with the family of such methods diayn vic etc that learn a discriminator to distinguish skills given some observations of the traj... | this paper tackles the problem of exploration using intrinsic rewards in rl in states that have never been encountered before the authors derive an information gain auxiliary objective that involves training an ensemble of discriminators and rewarding the policy for their disagreement which estimates the epistemic unce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper propose to improve parametric density estimation for unseen environment using uncertaintyaware neural networks and proposed a practical twostep algorithm based on deepensemble given tr... | the reviewers are in consensus that the manuscript is not ready for publication in its current form more comprehensive evaluation and careful analysis either theoretical or empirical of the simplebuteffective methodology would improve the quality further the discussion was constructive and helped the authors to reason ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies rl with low switching cost under the deep rl setting it points out several naive algorithms like switching after a certain number of steps and then propose a new heuristic this heuristic ... | this paper studies rl with low switching cost under the deep rl setting it provides new heuristics for doing so the reviewers are worrying about whether the problem is important in practice whether the policies obtained can be used in practice and the theories might not be strong enough the paper can be strengthened if... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hi first i want to thank authors for putting this together i enjoyed reading it summary authors propose mixing block mdp and hidden parameter mdp and offer and algorithm loss function to learn this model... | the paper addresses the problem of learning and exploiting common latent task structure in multitask reinforcement learning settings the authors introduce a new formalism for capturing this type of structure and derive a gradientbased learning algorithm they provide novel theoretical insights and strong empirical resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of link prediction for knowledge graph completion with rulebased methods specifically it builds on a recent strong rulebased method anyburl for mining rules from a kg and main... | the reviewers see many merits in the paper and most of their concerns are addressed by the feedback we are happy to recommend acceptance please make sure to account for all reviewer comments when preparing the cameraready version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a modified training procedure for populationbased training for emergent communication in which specific speakerlistener pairs are constructed and replace the free for all mixing of pairs... | the paper investigates the effectiveness of populationlevel training of multiagent communication strategies based on the finding that agents that interact with one another coadapt the paper proposes an alternative training process that partitions the population by constructing specific senderreceiver pairs in a manner ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a combination of methods that together yield neural networks that are robust to small changes in l2 distance the main idea is to ensure that changing the input by a bounded l2 distance n... | strengths this paper studies adversarial robustness to perturbations that are bounded in the l2 norm it is motivated by a theoretical sufficient condition nonexpansiveness but rather than trying to formally verify robustness it uses this condition as inspiration modifying standard network architectures in several wa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper proposes a novel neural network that maps short chunks of eight video frames to a final probability score 01 of abnormality the network is trained and evaluated in a supervised fashion usin... | this paper handles anomaly detection in surveillance videos the authors proposed to use a framegroup attention method for handling this task however all the reviewers have concerns about the novelty clarity and experimental evaluations of this work moreover no rebuttal is provided by the authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work explores how the sharpness gap between a teacher model and a student model affects knowledge distillation performance the paper argues that a large sharpness gap harms kd and proposes an adaptive ... | the authors study the degradation problem observed in kd for large teacher networks and propose to address it by quantifying and adapting to a sharpness gap between the student and the teacher the reviewers generally appreciated the proposed approach in handling larger teachers and found it effective within the scope o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces fair prediction framework which combines graph structure learning into fair prediction to ensure that unfair pathways are discouraged in the causal graph it shows generalization boun... | in this paper the authors aim to work within the pathspecific framework to implement fair predictions by learning a causal graph in such a way that some pathspecific effect is removed generally the paper was not received very well by reviewers with the primary concern being lack of novelty in particular in comparison ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of identifying bad training data when the underlying cause is unknown in advance authors develop an algorithmic framework datasifter for general robustness to bad training ... | the paper considers the question of identifying bad data so that models can be trained on the subset of data that is good this question is formulated as a utility optimization problem the paper shows that some popular heuristics are quite bad in the framework they propose they also propose a new algorithmic framework c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present an accelerated firstorder method for the optimization of smooth and strongly or not geodesicallyconvex functions over a compact and geodesically convex set in hadamard manifolds that we ... | the paper deals with accelerated methods on riemannian manifolds a particular challenge that the paper tries to address which the ac believes is important is related to the bounding of the iterates the paper starts with an explicit bounding constraint on the manifold and relaxes to the ball constraint for certain manif... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates characterizations of solutions for the problem of training neural networks with exponential loss or logistic loss the main contribution of the paper is to extend the previous work of ... | this paper studies margin maximization in linear and relu networks the reviewers appreciate the technical contributions of this paper especially the simple counterexamples however reviewers also found the new results seem not to give enough conceptual insights or an important main result the meta reviewer agrees and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors present an adaptation of capsule networks for pairwise learning tasks the pose vectors of final capsule layers for each tower is concatenated and passed through a fully connected layer to calculate ... | the paper extends capsule networks with a pairwise learning objective and evaluates on small face verification datasets the authors do a great job describing prior work but lack clarity when articulating their contribution and proposed method in addition some important implementation details such as hyperparameter sele... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper is wellwritten and the presentation is good combines pseudolabeling with studentteacher and optimal transport of distributions theoretical understanding of the proposed approach would further imp... | meta review this paper proposes an unsupervised classaware domain adaptation approach which is based on distributional optimal transport and seeks to align unlabeled target examples distribution with labeled source classconditioned distributions the model is trained in a cyclic manner involving pseudolabeling knowledge... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the concept of path independence it proposes fpa score to measure the path independence of a network and shows that the fpa score is correlated with the upward generalization ability of ... | this paper finds that there is a strong correlation between generalization to harder examples and path independence pi for equilibrium models the paper proposes a simpletocompute metric called the fixed point alignment fpa score to measure the level of pi during the rebuttalrevision phase the paper was significantly i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to learn a plasticitynet to facilitate implicit euler method for simulating plastic deformation given a deformation gradient the plasticitynet behaves like an energy function which gr... | after rebuttal all reviewers vote to accept this submission due to its technical novelty presentation and wide potential applications the ac agrees congratulations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of learning informative rewards without domain knowledge or external supervision that will accelerate learning in extremely sparse reward settings with noisy distractions to ad... | this paper proposes a selfsupervised reward shaping framework this is an interesting contribution that is well validated theoretically and empirically the paper is generally wellwritten i commend the authors for their helpful and positive interaction during the rebuttal period i believe that this sufficiently addresse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of abusive language detection in social media with focus on indic languages which are traditionally not resource rich in terms of datasets to that effect the paper makes the fo... | this paper creates macd a largescale 150k humanannotated multilingual 5 languages dataset for abusive language detection in social media the dataset has a focus on indic languages which are lowresource for this task the paper presents in detail the sampling and annotation process in addition the paper presents abusexlm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method to synthesize novel views of 3d scenes while inferring a decomposition of the scene into multiple objects the compositional reasoning is achieved by a slotbased encoder so that... | the paper develops a method for decomposing 3d scenes into objects by coupling nerf decoders to representations produced by a slotbased encoder after the discussion phase reviewer ratings are mixed with three on either side of abovebelow threshold and one higher but low confidence accept score drawbacks include limit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors contribute a thorough sound and clearly explained lower bound to the approximation quality of learned operators with linear decoders further the authors propose nomad an extension of deeponet to... | the focus of the submission is supervised learning with functional inputs and outputs particularly the authors consider the encoderapproximatordecoder architecture 23 to tackle this task after discussing the limitations of linear decoders in this scheme meant in l2 and uniform sense the latter is elaborated in proposit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this submission the authors begin with a clear motivation that the feature value magnitude of the teacher and student is different in pixels channels and stages for different detector pipelines with diff... | this paper proposes a novel knowledge distillation method for object detection as the feature value magnitude of the teacher and student is different a new loss function for feature imitation is introduced by conducting feature standardization and calculating the mse loss which is equivalent to calculate the pearson c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new set of heuristics for learning a nn for generalising a set of nns trained for more specific tasks this particular recipe might be reasonable but the semiformal flavour is distracti... | the authors have taken inspiration from recent publications that demonstrate transfer learning over sequential rl tasks and have proposed a method that trains individual learners from experts using layerwise connections gradually forcing the features to distill into the student with a hardcoded annealing of coeffiecien... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work performs a systematic study of online multiobjective optimization the authors formulate the multiobjective online convex optimization in which multiobjective dynamic regret and static regret are ... | first i must say that this is quite an interesting and elegant work and regardless of the decision on this paper i would like the authors to continue along this path the paper is nicely written with a good flow and the authors naturally arrive at their new algorithm doubly regularized online mirror multiple descent in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds on top of the paper disentanglement by nonlinear ica with general incompressibleflow networks gin sorrenson 2020 and argues that that papers method of identifying informative latent variab... | the paper proposes a method to identify informative latent variables by thresholding based on the conditional generative model while the exposition of the paper has substantially improved during the discussion period some major concerns remain after the discussion among the reviewers in particular the problem considere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the implicit autoencoder which purports to be a vae with an implicit encoding and decoding distribution my principle problem with the paper and reason for my strong rejection is that ... | the paper proposes an original idea for training a generative model based on an objective inspired by a vaelike evidence lower bound elbo reformulated as two kl terms which are then approximately optimized by two gans they thus use implicit distributions for both the posterior and the conditional likelihood the idea is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel solution to the relation composition problem when you already have pre trained wordentity embeddings and are interested only in learning to compose the relation representations ... | this paper presents an approach for learning relation embeddings that are a feed forward function of the embeddings of a word pair the method uses a novel training objective and is shown to work well on outofcontext lexical benchmarks the paper could be framed better and there are a number of points where the reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
clarity paper is generally well written however certain theoretical statements eg theorem 1 are not very precise originality contribution seems to be incremental the proposed method seems to be a straightf... | the main idea of this paper is to use nearest neighbor search to to accelerate iterative thresholding based sparse recovery algorithms all reviewers were underwhelmed by somewhat straightforward combination of existing results in sparse recovery and nearestneighbor search while the proposed method seems effective in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework that adds in an extra gnn layer after the attention layer of transformer which enables better quality modeling in graph data in particular the gnn layer learns a perhead tran... | this paper proposes a novel approach to include graph information into transformers reviewers expressed concerns on 2 main issues 1 the exact architecture proposed in the paper is not well motivated in words of one of the reviewers i still do not understand why the authors learn the spectral gcn filter weights from t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies offline training and online tuning for multiagent systems which focuses on the decentralized cooperative setting where each could only access to its offline dataset authors discover that t... | a brief summary of the paper in offline decentralized marl the discrepancy between the offline data and the interactions of agents in the environment can cause discrepancy and as a result the policies will perform suboptimally this issue in orl is known as extrapolation error this paper is trying to address the issu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a new saliency map interpretability method for the task of image classification it considers the saliency map as a random variable and computes the posterior distribution over it... | overall the reviewers had various positive things to say about the paper including that it was well written and easy to understand topical that the method was sensible novel and interesting and that the computational efficiency ie real time was appealing however all the reviewers thought it wasnt quite ready for accep... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper study a general class of loss function for contrastive learning that contains existing losses as special cases which is formulated as a coordinatewise optimization the authors further proved anal... | this paper offers an interesting perspective on the min player and the max player for contrastive learning it also addresses how the temperature parameter influences hard sample mining the metareviewer recommends acceptance of the paper as a poster |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a nice interface design implementation and study relating to using electrical muscle stimulation where electrical pulses create involuntary muscle contraction to support healthy postur... | the three reviewer agree on the novelty of the proposed technique as well as on its relevance the paper clearly falls in the acceptance side r1 and r2 are more critical among reviewers suggestions to improve the paper authors should definitely consider to significantly shorten the paper it is too verbose r1 and the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a stochastic contrastive conditional gan which consists of an encoder an attributes classifier and a stochastic eigengan generator the encoder learns to extract the features into a laten... | this paper presents a method for conditional generations for gans the reviewers note the lack of novelty or the lack of a theoretical or empirical motivation for the novel bits they point out flaws in the correctness of the paper and limited experimental evaluation the reviewers agree to reject the paper unfortunately... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper targets at relieving the massive labeled data consumption of deep learning through the framework of semisupervised learning in particular it finds out that two training approaches positiveunlabel... | the paper combines discriminative and generative positiveunlabeled learning into a single framework the reviewers argued the novelty and contributions are not enough for iclr and unfortunately we cannot accept it for publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents the use of a hybrid cnntransformer model for fewshot image classification specifically the paper applies encoding and encodingdecoding transformers between convolution layers to increase ... | the paper uses a transformer model to generate cnn models and use it for few shot learning although the reviewers appreciate the ideas and the good benchmarking results presented in the paper they are find the paper somewhat incremental compared to previous work in the hyper network literature this also despite the au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles a novel setting where a twosample test needs to be conducted with limited labels the paper is clearly written theoretical results are given experiments and ablation studies are conducted ... | meta review this paper presents an approach to perform twosample tests in an active learninglike setting where acquiring labels is expensive all of the reviewers agree that the quality of the paper is high it addresses an interesting and practicallyrelevant settings the proposed theoretical approach is novel and it le... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows that not all cases of heterophily are harmful for gnns with aggregation operations based on a backpropagation analysis on an sgcstyle gnn it provides a new metric based on similarity matrix ... | the reviewers agree that the paper is addressing an interesting problem however the authors analyze the effect of heterophily on gnn for node classification the authors simplify the analysis by removing the nonlinearity in the gnn model and derive some theoretical results however the analysis is very specific to the si... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a thorough and relatively indepth analysis of how pretrained models affect ood generalization performance specifically the authors dissect this issue and perform extensive ablations on l... | the paper presented an empirical study of pretrained models on the outofdistribution generalization problem authors evaluated various factors such as model sizes datasets learning rate etc and claim some major findings 1 larger models have better ood generalization and combining both larger models and larger datasets... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has proposed a method named zeroshot learning for attributes to deal with a research problem about novel attribute classification and attribute labeling specifically this research problem is tac... | this paper has proposed a method named zeroshot learning for attributes to deal with a research problem about novel attribute classification and attribute labeling the reviewers have many questions in the intial round after the rebuttal the authours clarify most unclear points and some reviewers raise the score in gene... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the online rmab problem with multiple available actions and when the mdp on each arm is unknown the paper derives an index policy for the online rmab problem different from the whittle i... | the paper tackles the challenging problem of online learning restless multi armed bandit rmab policies among its contributions are the introduction of a new tractable class of rmap policies to learn over and tractable learning algorithms with regret guarantees along the lines of statistical upper confidence bounds thes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript considers online zeroth order optimization and it develops a gradient estimator based on one query per function in particular the proposed method mimics twopoint estimators by evaluating two... | the paper generated a lot of discussion after reviewing all of the opinions and my own reading of the paper we have concluded that the theoretical innovation is too incremental for iclr it is possible that the idea of residual feedback could be helpful but for this to be demonstrated effectively one would need to consi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an neural acoustic field naf which is an extended version of neural radience field applied on impulse responses defined between listener and emitter positions it predicts an impulse resp... | this paper proposes to use implicit neural representations to model how our surroundings affect the sounds reverberating within concretely the proposed approach can produce impulse responses that capture environment reverberations between any two points in a scene reviewers praised the novelty and originality of the i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a mixed strategy to obtain better precision on robustness verifications of feedforward neural networks with piecewise linear activation functions the topic of robustness verification is... | the paper addresess an important problem of neural net robustness verification and presents a novel approach outperforming state of art author provided details rebuttals which clarified their contributions over the state of art and highlighted scalability this work appears to be a solid and useful contribution to the f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a set of benchmarks consisting of datasets and metrics for physicsinformed graph neural networks gnns for dynamical systems in particular they examine and compare the efficacy of hamilto... | this paper evaluates the use of physicsinformed gnns for modeling dynamical systems by simulating them and explores the properties that are beneficial for achieving enhanced performances with them the main concerns of the reviewers from the initial version have been addressed during the rebuttal and discussion periods ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a simple yet effective framework for selfsupervised learning of human skeletons and object outlines an encoder is firstly used to regress the key points in a heatmap manner then a shared... | building from works on unsupervised keypoint discovery for a domain of 2d images this work proposes to jointly learn a skeletal structure that links discovered keypoints and further proposes a novel image masking strategy for extracting limited background information to force the keypoints to capture maximum informatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a new model for the task of language modeling especially suited for longer sequences this new model dubbed as memformer consists of transformer encoderdecoder and a memory module... | this paper introduces a new model called memformer that combines the strength of transformer networks and recurrent neural networks while the reviewers found the idea interesting they also raised issues regarding the experimental section in particular they found the results unconvincing because of weak baselines non st... |
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 causal structure learning algorithm based on the sparse mechanism shift hypothesis which says that distribution shifts across environments occur due to a small number of... | the decision is to accept the paper the paper proposes a method for causal structure discovery that leverages an assumption about sparse mechanism shifts across multiple environments the authors show that access to multienvironment data that satisfy this assumption can provide identification beyond standard equivalenc... |
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