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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 theoretical aspect of lookahead dynamics of smooth games inspired by the recently introduced lookahead optimizer in the spirit of studying the game dynamics of multiple agents the o...	in this paper the authors study the behavior of the lookahead dynamics of zhang et al 2019 in bilinear zerosum games these dynamics work as follows given a base algorithm for solving the game such as gradient descentascent or extragradient the lookahead dynamics perform k iterations of the base algorithm followed by an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tried to find an energy function underlying the transformer model and reinterpret transformers as the unfoling of an interpretable optimization process across iterations this paper starts from th...	the submission analyses the simplified transformer architecture from the unfolding optimisation perspective which was recently used to analyse simpler mlp and cnn models four reviewers are positive on the submission results and agree that they potentially can bring new insights and more powerful architectures ac recomm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a study of tradeoffs between adversarial and standard accuracy of classifiers though it might be expected that training for adversarial robustness always leads to improvement in standard...	this paper provides interesting discussions on the tradeoff between model accuracy and robustness to adversarial examples all reviewers found that both empirical studies and theoretical results are solid the paper is very well written the visualization results are very intuitive i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes to tackle multiobjective optimization of molecular properties by combining a genetic algorithm with a fragmentbased generative model of smiles strings using a generative model all...	this work combines deep generative models variational autoencoders fragvae and multiobjective evolutionary computation for molecular design they use a multilayer perceptron as a predictor for properties evolutionary operations are used to explore the latent space of the generative model to produce novel competitive mol...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introdcues nasbench360 which evaluates different architectures and nas methods on in total 10 different tasks this evaluation shows that different nas methods which perform very well on computer ...	nasbench360 enables the evaluation of nas methods across a diverse set of tasks and domains and the authors experiments demonstrate that nas methods are not generally robust across all domaintasks the authors also make a strong argument that a nas benchmark should be a combination of a search space and a search algor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a computer vision pipeline for computing semantic regions in a scene and predicting where the car will go in terms of those regions in the context of autonomous vehicles the method is eva...	reviewers like the novel formulation of the method but are concerned about the fairness of the experiments the generalization to unseen topologies and the presentation one reviewer also argued that the topic is not closely relevant to robotics which is required by corl please consider addressing these points if possi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work proposes iglu an algorithm to scaleup gnns using stale computations instead of traditional neighborhood sampling iglu has bounded bias if the loss and activation functions are smooth results on lar...	overall the paper present the idea of caching and using stale information to update instead of sub sampling for speeding up graph convolution neural network reviewers liked the idea but also there were concerns about experimental comparisons in the rebuttal the authors did provide more evidence of comparison with othe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the challenge of improving sample efficiency of rudderstyle algorithms in sparse mdps building on prior work by arjonamedina et al 1 the authors incorporate demonstrations of optimal tra...	a brief summary this paper proposes two critical modifications to the original rudder algorithm 1 proposes the alignrudder method that assumes that the episodes with high rewards can be used as demonstrations 2 uses a profile model from the multiple sequence alignment approach to align the demonstrations and redistrib...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new metareinforcement learning algorithm for adaptation to different tasks or environments the algorithm targets the tasks where the reward function is extremely sparse in these tasks t...	the authors propose emrld algorithms which use potentially suboptimal demonstrations to perform metarl in environments where rewards are sparse the algorithm is illustrated well in point2d navigation toy examples to illustrate how it solves a multitask goal reaching environment on both suboptimal and optimal data empir...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper offer a method to compute the singular values svs of convolutional layers efficiently they propose a method to decompose the matrix mathcalk representing a convolutional layer to s...	this paper introduced a tensor decomposition and associated theory which allows for the control of singular values in convolutional layers based upon the reviews rebuttal and reviewer discussion i recommend paper acceptance all reviewers recommend acceptance the rebuttal was effective with one reviewer who initially r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests an adjustment to the resnet architecture which enables successful training despite having deterministically initialized weights strengths significance the paper explores commonsense modi...	this paper suggests an architecture with a deterministic initialization which has only 01 values the reviewers were mostly marginally negative mainly because of the low novelty and significance of this work specifically the main novelty issues were 1 improving convergence speed and removing batchnorm was already done...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary proposes new method to improve transformation invariance in contrastive representation learning and demonstrates utility on downstream tasks proposes using feature averaging from multiple transfo...	the paper recieved three consistently positive reviews while i agree with most of them i have two major concerns regarding the novelty of the paper which the authors are strongly recommended to address in the final version 1 taking derivative with respect to the parameters of transformation isnt novel the standard tan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a method to learn to reason about programs is presented the core novelty is an intermediate program representation as a set of relations in the logics sense derived from existing program analysis tools by t...	the paper presents a deep learning approach encodes codebases as databases that conform to rich relational schemas based on this a biased graphwalk mechanism efficiently feeds this structured data into a transformer and deepset approach the results shown a quite good compared to other approaches present at iclr moreove...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes cycle mlp architecture the idea is to bring spatial context into channel fc and increase its receptive field the main objective of the paper is to address the challenges faced by the cur...	the authors propose a new mlpmixerlike architecture called cycle mlp which has two main advantages with respect to mlpmixer i its applicable to varying input image sizes and ii linear computational complexity the authors present competitive results on image classification object detection and segmentation the reviewer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper combines the fno architecture with hypernetworks to learn the solution operator flow map of markovian pde systems a hypernetwork whose input is the time domain r is trained to output the weights ...	this paper presents an approach to learn the solution operator of markovian partial differential equations pdes by combining the fourier neural operator fno with a hypernetwork in short the hypernetwork gthetat is trained to output the weights of a fno fwx which given an initial condition outputs the pde solution at t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on the complex multilabel temporal action detection that aims to localize all action instances from a multilabel untrimmed video existing querybased action detectors employ a segment to r...	this paper considers the problem of detecting temporal activities in videos which contain multiple cooccurring activities of different labels it is an important problem that arises in many computer vision tasks the paper is generally well written specifically using learnable query points to select representative frames...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: for the task of predicting interaction contact among atoms of protein complex consisting of two interacting proteins the authors propose to train a siamese convolutional neural network noted as sasnet and t...	two out of three reviews for this paper were provided in detail but all three reviewers agreed unanimously that this paper is below the acceptance bar for iclr the reviewers admired the clarity of writing and appreciated the importance of the application but none recommended the paper for acceptance due largely to conc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: on balanced datasets and when using crossentropy loss for learning it is observed that 28 the last layer features from the same class converge to their withinclass means and the weights the network in the l...	this paper examines the use of a random equiangular tight frame etf as a replacement mechanism for the final classification layer in a deep neural network and demonstrates experimental advantages in classimbalanced training scenarios reviewers gave drastically different assessments of this paper with ratings ranging f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of neural program synthesis whose aim is to train a neural network to synthesize programs from problem specifications to this end the paper proposes a framework that leverag...	all reviewers appreciated the overall idea of using reinforcement learning to generate code from language models leveraging the unit tests and critic scores especially for realworld languages as opposed to most prior work on using rl for program synthesis that generate code in domainspecific languages the evaluation wi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this study proposes a new method for computing summary statistics in the context of likelihoodfree inference the authors pose the problem as finding the summary statistics function in the form of a...	this paper addresses a central problem in inference in implicit models classical approaches on such problems abc rely on computation of summary statistics and multiple methods for automatically finding summary statistics have been proposed this paper provides a fresh take on this classical problem by providing a method...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the cooperative average reward fully decentralized multiagent reinforcement learning marl problems where the agents interact with their neighbors over a communication network it proposes ...	this paper provides actorcritic method for fully decentralized marl the results remove some of the restrictions from existing results and have also obtained a sample bound that matches with the bound in single agent rl the authors also give detailed responses to the reviewers concerns the overall opinions from the revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose disco to remove adversarial perturbations by localized manifold projections they aim to output the clean rgb value for an adversarial image and a pixel location their method is built upo...	in this paper disco a testtime defense against adversarial attack is proposed based on prior concents of adversarial denoising manifold modeling and implicit function the authors show promising efficiency and experimental results in disco however a large concern raised by some reviewers is the limitied novelty but the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a twostage generative image model first a gan is trained to output lowresolution images and another model to then perform singleimage superresolution on the results of the first model th...	the reviewers brought up significant concerns that were not resolved by the authors responses the concerns are too significant for the paper to be accepted at this time
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a simple method salr to encourage the sgd to converge to flatter minima for better generalization the basic idea is that it increases the learning rate when the sharpness is high vice ver...	this paper proposes a method to update the learning rate dynamically by increasing it in areas with higher sharpness and decreasing it otherwise this would the hopefully leads to escaping sharp valleys and better generalization authors further provide some related theoretical results and several experiments to show eff...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: experimental settings and hyperparameters are explained in good details the paper illustrates the role of factors such as effective rank and distribution of singular values on the performance of linearis...	meta review this paper provides a comprehensive experimental study on feature learning in neural networks and learning with random features in linearized networks while there is still some reservation about the significance of the contribution all the reviewers agree that this work is valuable and is a good empirical w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new useful method that seems to work well it seems a bit heavy to learn a posterior over neural network weights can the authors comment on how much more training time was required for t...	meta review the reviewers agree that the proposed idea is appealing with the support of theoretical justification and empirical evidence the authors provide a fairly strong rebuttal to address most of the concerns raised by the reviewers i hope the authors will find the review comments helpful for further improving the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes mtsgd for multiobjective optimization problems which leverages the idea of svgd to generate diverse particles wrt the joint highlikelihood region for all distributions experiments on bot...	the paper presents a particlebased method to approximate multiple target distributions simultaneously the proposed particleupdating dynamics is shown to decrease the kl to every target makes a pareto improvement and the resulting particles prefer the intersection of all targets pareto common which differs it from a rel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper performs a detailed analysis of the darts search space commonly used for weightsharing neural architecture search the authors used several simple statistical methods to identify salient features o...	this paper makes the important albeit somewhat unsurprising finding that cellbased nas search spaces and in particular the darts search space include some operations that are much better than others reducing the search space to these allows even random architectures to yield good performance similarly to the findings o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this papers presents an interesting take on weisfeilerlehmantype gnns where it shows that a wlgnns classification power is related to its ability to represent multisets the authors show a few exemplar netwo...	graph neural networks are an increasingly popular topic of research in machine learning and this paper does a good job of studying the representational power of some newly proposed variants the framing of the problem in terms of the wl test and the proposal of the gin architecture is a valuable contribution through the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes the new task of hierarchical cross document coreference resolution hcdcr where mention clusters are organized in a hierarchy this can enable applications such as faceted query w...	this work introduces a new task of hierarchical crossdocument coreference resolution together with a new dataset and baselines for this task reviewers all agreed that this work makes strong contributions the new task evaluation metrics and methods and is wellwritten with clear description reviewers also raised minor co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an interactive method to inglobate new demonstrations into an existing dataset and policy in such a way that it is not detrimental to the existing policy the authors propose to do so by ...	strengths the paper tackles a very interesting problem with a sound method well written experimental section real robot experiments and user study weaknesses showing that the method also works on more complex tasks would have been nice enforcing consistency rather than allowing multimodality needs to be motivat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an empirical study of pretraining strategies for supervised entity linking previous works either focus on constructing generalpurpose entity representations or zeroshot entity linking an...	all reviewers agreed that the paper has some strengths with merits outweighing a few flaws this paper investigates the use of a simple architecture for entity disambiguation while exploring several design decisions along the way results show stateoftheart performance on conll with a good candidate set and tackbp as w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors explore the robustness of feature learning via selfsupervised learning ssl and supervised learning sl with imbalance datasets generally sl can learn better features than ssl and features are be...	this paper is proposed to investigate the robustness of selfsupervised learning ssl and supervised learning sl in both balanced in domain and imbalanced out of domain settings it can be concluded that sl can regularly learn better representations than ssl and representations are better from balanced than from imbalance...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work explores backdoor attacks attacks that alter a fraction of training examples which can alter inference while ensuring that the poisoned inputs are consisten t with their labels these attacks ar...	the present work proposes to improve backdoor poisoning attacks by only using cleanlabel images images whose label would be judged correct by a human with the motivation that this would make them harder to detect it considers two approaches to this one based on gans and one based on adversarial examples and shows that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an objective for contrastive training of representations based on noisy cluster information in particular the objective encourages samples from the same noisy cluster to have similar repr...	the paper proposes a weakly supervised contrastive learning using auxiliary cluster information for representation learning their method generates similar representations for the intracluster samples and dissimilar representations for intercluster samples via a clustering infonce objective their approach is evaluated t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: attack problem formulation and a novel attack technique to the best of my knowledge i didnt see other poisoning attacks for offpolicy evaluation methods effective solving techniques via influence function...	meta review this work proposes a data poisoning attack for offpolicy evaluation ope methods it also shows that several popular ope methods are not robust to data poisoning attacks the reviewers were all positive on this work recommending strong accept accept accept and weak accept they praised the generality of the pro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors tackle the problem of human trajectory forecasting with the help of a novel architecture the architecture has two components the group trajectory bank module to extract representative group traj...	initially the paper received mixed reviews 3456 the major concerns raised by the reviews were 1 what is the contribution of the pav dataset xkvc 2 there should be experiments on existing datasets eg sdd or indd xkvc tahr 3 is it fair to use curve smoothing on the gt during evaluation to be fair other works should be ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a fewshot learning model to tackle the lackofdata problem in drug discovery where they demonstrated the proposed mhnfs model on benchmark dataset fsmol and the tox21 dataset reportedly ...	this paper proposes a contextenriched molecular representation approach for fewshot drug discovery specifically they show that the proposed mhnfs outperform existing methods on standard benchmarks including fsmol and the tox21 the proposed approach is analogous to the retrievalbased approach or generation models by edi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary based on an extensive argument acoordig to which adam potential failures are due to the positive correlation between gradient and moment estimation the authors propose adashift a method in which t...	this paper proposes a new stochastic optimization scheme similar to adam the authors claim that adam can be improved upon by decorrelating the secondmoment estimate vt from gradient estimates gt this is done through the temporal decorrelation scheme as well as blockwise sharing of estimates vt the reviewers agree that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper investigates different ways of incorporating topological information about the data in the machine learning models the paper introduces a novel loss that aims to enforce the relational in...	while the motivation of the paper is interesting the reviewers expressed concerns about the experimental setup comparison to related work and paper framing for experiments it was unclear why authors compared such disparate methods instead of more finegrained adjustments eg such as corrupting graphs as suggested by r3 f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper explores the impact of different types of data augmentations for protein sequence data and does a thorough benchmark analysis on them the authors used a pretrained transformer model fine t...	this paper tests out some straightforward data augmentation strategies on the protein inputs to the transformer used in the tape paper overall there is insufficient intellectual merit to warrant publication at iclr as a sidenote the quality of the manuscript in terms of scholarliness of presentation was overall lackin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes and validates a qualitative distinction between instructions and descriptions as ways of communicating partial information about a reward function briefly instructions are shown to be m...	i thank the authors for their submission and active participation in the discussions the paper investigates language instructions and descriptions as a way to teach a student rl agent all reviewers unanimously agree that this is a solid paper worthy of acceptance in particular reviewers found the paper to be well motiv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper found that the conditional expectationbased shapley value might fail in some cases and they thought the problem was caused by the fact that the shapley value uses the same weight for all marginal...	strengths paper points out and addresses significant issue in conventional shapleybased approaches theoretical analysis having gametheoretic interpretation convincing empirical results after revision clear writing good survey of related work weaknesses limited empirical comparisons addressed in revision lacks qu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: towards the issue that existing methods try to excavate the multiple correlations in different aspects this paper provides a unified perspective to learn the multiple correlations which enables the informat...	this paper proposes a unified framework based on the transformer model for capturing multiple relationships among data and features in similarity or metric learning it is an interesting direction that is worth exploring and the special way to combine multiple transformer blocks may have more general relevance the propo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a benchmark for three related research topics including ad osr and ood experimental settings are specified for each topic in total 31 methods are evaluated this work facilitates a unif...	all the reviews are mostly aligned in recognition of the merits and contribution of this paper and its potential impacts to the community therefore i would like to recommend acceptance even though i still recommend authors to make further enhancements and include the response changes in this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors propose a simple but effective keypointbased anchorfree object detection system the main idea is to replace the cartesian coordinate with the polar coordinate compared to ...	this paper received overall positive scores one reviewer r3 recommended clear reject all reviewers agree that the paper introduces a novel idea and its effectiveness is supported by the experimental results there are concerns about clarity of presentation and certain missing analyses which have been addressed by the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a way to do batch mode model agnostic active learning in this task the agent has to query a batch of data points from a set of unlabeled examples for which it will get labels the...	the paper introduces a modelagnostic heuristic for batch active learning there was an agreement among the reviewers that its a good approach to try and report about but the paper was ultimately rejected after calibration there were two concerns raised in the reviews and the authors are encouraged to address them in a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a dataset and a method to study the hidden properties of objects present in videos the method can extract object attributes and use them for predicting subsequent scenes with the additio...	this paper proposes a new dataset called comphy to evaluate the ability of models to infer physical properties of objects and to reason about their interactions given these physical properties the paper also presents an oracle model named oracle because it requires gold property labels at training time that is modular ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper exploit the supermask technique to improve both robustness and communication efficiency in federated learning the collaborating clients only share the local subnetwork based on the rankings of ne...	the paper brings the supermask idea used in neural architecture search to the application of federated learning here represented by a single mask of a larger network the method can be seen as pruningbeforetraining or more precisely pruninginsteadoftraining it is a simplified version of the related works lotteryfl prune...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes to use objectcentric representations for rl which can efficiently handle multiple objects in the scene to learn a policy that can take a variable number of object observations th...	this paper proposes a self supervised learning algorithm to compute objectcentric representations for efficient rl in the context of robot manipulation tasks the key idea is to learn an objectcentric representation using prior work on scalor and use this to intrinsically generate goals for a sac policy to achieve the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presented a new setting of online contextualized few shot learning to mimic human learning this setting combines continual learning and few shot learning and additionally considers cont...	this paper proposes a new online contextualized fewshot learning setting with two associated datasets notably including one obtained from trajectories within the realworld matterport3d reconstructions a simple recurrent contextualized extension of prototypical networks is also proposed as a stronger baseline demonstrat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper describes a deep learning approach for predicting hamiltonian systems the original paper enforces conservation in the loss function several of the followup papers embed a symplectic integ...	this paper proposes a method for learning nonseparable hamiltonian dynamics by including a state of the art symplectic integrator tao 2016 into the model training pipeline this is a nice improvement on the past work that primarily addressed separable hamiltonians the reviewers agree that the paper is well written and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a backdoor injection method that manipulates model weights the method can achieve comparable clean accuracy and a high attack success rate through injecting and compromising handcrafted ...	this paper proposes a backdoor injection method that directly manipulates model weights after training the backdoored method can achieve comparable clean accuracy and a high attack success rate through injecting and compromising handcrafted filters increasing the separation in activations and increasing the logit of a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the convergence of fedavg with biased client selection strategies and the new strategy powerofchoice is designed based on the convergence results this new strategy is numerically compare...	in federated learning distributed and resourcelimited client nodes cooperatively train a model without sharing their local data the results thus far on analyzing the convergence of federated learning are restricted to unbiased client participation where the probability of a client c being selected is proportional to c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper proposes a remedy to the representation collapse issue of sparsely gated activated mixture of expert modes smoe in transformers the hypothesis and later supported with observations is that the top1 ro...	this paper highlights that contemporary sparse mixtureofexperts smoe models suffer from representation collapse in the gating mechanism the paper then proposes a simple fix reducing the dimensionality of the gating representations and using cosine similarity the paper shows qualitatively that the new representation suf...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper gives provable recovery guarantees for a class of neural networks which have highthreshold activation in the first layer followed by a wellbehaved polynomial under gaussian input the algorithm is...	the reviewers reached a consense on that the paper is not quite ready for publication at icrl the main potential drawback include a the exposition of the paper can be improved b its not entirely clear that some of the assumptions such as the threshold for the first layer the polynomial approximation of higher layers ar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a paper that studies the theoretical properties of the convolution layer when used with the other common layers in the neural networks strengths the authors are motivated to develop theories weakn...	the reviewers appreciated the contributions several concerns were raised and the authors addressed them in their submitted response accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores adversarial examples by investigating an invertible neural network they begin by first correctly pointing out limitations with the commonly adopted lp adversarial example definition in l...	this paper studies the roots of the existence of adversarial perspective from a new perspective this perspective is quite interesting and thoughtprovoking however some of the contributions rely on fairly restrictive assumptions andor are not properly evaluated still overall this paper should be a valuable addition to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the gama attack a generative approach to generating adversarial examples the proposed method incorporates the visionlanguage model clip in the training of the generator experiments demon...	the authors proposed the first multiobject generative attack gama which utilizes the visionlanguage model clip as an attackers tool in the training of the generator to enhance the transferability across different data distributions all four reviewers recognize that this paper is wellwritten and easy to follow the pres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores constructing pet modules in an automatic manner and s 3pet with nas is proposed which conducts the differentiable pet structure search through bilevel optimization and proposes shifted g...	this paper presents work on parameterefficient tuning of large pretrained model the main contribution is an automated search for the parameter efficient tuning modules in a neural architecture search style the reviewers raised questions regarding the overall efficiency of the training scheme given the cost to the neu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: many parts of this work ideasequationsnormalizationproposed method is essentially proposed elsewhere and discussed by various authors 12345 specifically the conv operation that proposed is exactly suggeste...	we discussed this paper among the pcs and agree with the assessment of the ac we strongly encourage the authors to take into account the suggestions for framing the claims wrt related work but find that all major technical issues have been rectified during the rebuttal phase
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a multisensory robotic system that can leverage vision tactile visionbased sensor as well as contact microphone data they propose using a multisensory selfattention model to simultaneous...	the paper presents a multisensory attention model that can extract relevant features from the different modalities rgbd visuotactile and microphone sensors for downstream manipulation tasks the paper strengths are the use of multiple sensors in a single and simple pipeline for downstream tasks the shown efficiency ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors claim to have annotated the optical chemical structure recognition dataset regarding the example in the manuscript the annotation format is well thought out and making the chemical structure mac...	given the extensive discussions its good to make a small overview reviewer kc2v weak reject didnt do a full review since the data and code were not available both become available afterwards but very late in the process reviewer abjb weak reject as a lower bound raised many issues about limitations in the experiments m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper analysis semisupervised methods taking into account the curation process employed in the creation of popular datasets like imagenet the authors model this process via a generative model which they...	this submission has generated sufficient debate including some messages that in my viewpoint have the wrong tone it may well be that different colleagues see the work in different ways it is very hard to evaluate submissions in a short time and mistakes can happen in this case i think there were and still are misunders...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe paper presents a method for using fuzzy logic and domain knowledge to generate the reward signal for rl algorithms the method is evaluated on a wargame domain the paper isnt easy to read and i am...	all reviewers agreed on rejection unfortunately there was no author response so there was nothing to drive further discussion on the paper the reviewers gave very detailed advice on improving the work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the problem of compressing trained convnets with the goal of reducing memory overhead and speeding up the forward pass as i understand it the main contribution of this work is to develop ...	while the core ideas explored in this paper are quite limited in algorithmic novelty eg the direct sparse convolutions the reviewers largely feel that the paper is well written experiments are carefully done on multiple architectures and system issues are discussed indepth given the interest in the iclr community aroun...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers a generalization of convolutional neural networks cnns to manifoldvalued data such as symmetric positive definite spd this paper proposes a neural architecture search problem of spd mani...	the paper tries to find better semipositive definite spd manifold networks using neural architecture search however as pointed out by the reviewers the paper has a few weaknesses a it lacks in novelty b it lacks in experiments that are mentioned in the sota papers c the experiments should be performed with the same mod...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied the uncertainty estimation in gbdt method the authors described 3 methods to estimate the uncertainty with sgb the estimation is achieved by training multiple models using data subsamples...	the authors design a framework to estimate the uncertainties in the predictions of gradient boosting models for both classification and regression the framework contains several methods some that use subsampling on data to calculate the estimation and some that use subsampling on the trees within one single gradient bo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a hyperspectral image reconstruction method based on a deep unfolding method and a halfshuffle transformer hst the deep unfolding method estimates parameters from the image and uses th...	this paper integrates a halfshuffle transformer hst into the deep unfolding framework establishing an effective method for hyperspectral image hsi reconstruction the reviewers generally agree that the paper is wellwritten and technicallysolid the majority of the reviews assert that the technical novelty is not so drama...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an automatic curriculum learning framework for multiobjective curricula moc the key insight is to use a multitask hypernet module on top of multiple curricula generating neural networks ...	strengths the proposed approach is novel and the idea of combining individual curricula focused on different aspects such as initial states or reward functions is interesting and promising the evaluation of the approach was well done and included comparisons to sota methods and detailed ablations weaknesses the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present myriad a testbed written in jax which enables machine learning researchers to benchmark imitation learning and reinforcement learning algorithms against trajectory optimizationbased meth...	this paper provides a testbed called myriad for trajectory optimization and system id in jax with the hope of engaging rl practitioners to benchmark against the test bed the proposed testbed provides examples ranging from different domains such as medicine and biology deviating from traditional domains that are usually...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to use weighted frechet mean wfm for the operation on manifold valued data for cnn the novel point is to view wfm as a convolutional layer overall this paper is mathematically w...	this manuscript proposes an extension of convolution operations for manifoldvalued data the primary contributions include the development and description of the approach and implementation and evaluation on real data the reviewers and ac expressed concern about the clarity of the presentation particularly for a genera...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a new dataset of programming puzzles to benchmark the performance of ai models on program synthesis the paper makes the following contributions 1 a novel problem representation called ...	in this paper the authors provide a novel datasettask of programming puzzles where an ai is tasked with understanding a program and giving it an input that will make the program output true all reviewers were very positive in particular noting the novelty and generality of the dataset and task as well as the thoroughn...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investiagtes the application of pretrained language models on the task of classifying nontextual data without any architecture changes the input features are linearized into a textlike sequence an...	the paper demonstrates that pretrained language models can be competitive at classifying nontextual data where the input features are linearized into a textlike sequence and used as the conditional prefix for the language model while the method is still not competitive with supervised learning methods the fact that llm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an analysis of learning with fairness constraints in the presence of label noise the difficulty of the framework is that the authors study the general problem of instancedependent noise w...	the reviewers generally agreed that this paper makes a contribution to fair learning there were some questions and confusions that were largely ameliorated in the authors response one reviewer did not respond to the response but i read both the review and response and felt that the authors cleared up the confusion this...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper extends the previous memoized wakesleep method to train complex generative models with discretestructural and continuous latent variables the method incorporates an assumption on the conditional d...	the authors propose a method called hybrid memoised wakesleep hmws for training models with both discrete and continuous latent variables efficiently using amortized inference they extend memoised wakesleep mws which can only handle discrete latent variables to discretecontinuous systems by using importance sampling to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors extend muzero to mdps with stochasticity by adding afterstates to the tree and using a vqvae model they show that this enables them to solve stochastic environments where muzero fails potential ...	the paper extends muzero to stochastic but observable mdps to represent stochastic dynamics it splits transitions into two parts a deterministic transition to an afterstate incorporating all observations and actions up to the current time followed by a stochastic outcome accounting for new randomness that follows the l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a benchmark for using machine learning to solve pdes the pdes considered vary from relatively simple to complex in addition to the data the authors provide a framework for data generation...	the paper proposes a new benchmark consisting of a variety of pde problems almost all the reviewers appreciated the extensiveness of the problems included timeindependent 13d etc there is code for generating data training baseline models recording variety of metrics all the qualities that make for a complete and usefu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe authors present a new statistical analysis aiming to explain the success of masked language model pretraining for nlp specifically they focus on the diversity of classes which they claim is simila...	this paper aims to explain the pretraining effectiveness of masked language model based on the concept of diversity of classes they empirically study how a diversity regularizer based on this theory can improve model performance as an empirical support before rebuttal reviewers consistently found the empirical study ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper uses random convolution augmentation to learn representation that is robust for transferring across domains quality the paper is wellwritten easy to following the method is presented cle...	reviewers concurred that this is an interesting paper with contributions worthy of publication the authors also provided many details in the rebuttal which makes the paper even more strong
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes deltauq a novel uncertainty estimation technique with a single neural network the main idea is to ensemble predictions computed from inputs transformed by random anchors to justify the u...	the paper proposes a method that allows single model uncertainty estimation by training a model with a random data augmentation the proposed approach is simple and scalable it is comparable to or better than deep ensemble in terms of nll ece and brier score the application to sequential optimization tasks presented in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a novel way to trade off sample quality with computational budget in autoregressive models by performing the autoregression on the ordered latent space of a generative model they show an...	many concerns raised by the reviewers have been addressed by the authors sometimes through additional experiments the reviewers have updated their scores in response and all now recommend acceptance like reviewer 4 i think that the relation to nested dropout rippel et al 2014 needs to be acknowledged and discussed app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on deep reinforcement learning methods and discusses the presence of inductive biases in the existingrl algorithm specifically they discuss biases that take the form of domain knowledge o...	the paper studies inductive biases in drl by comparing with different reward shaping and curriculums the authors performed comparative experiments where they replace domain specific heuristics by such adaptive components the paper includes very little new scientific contributions and as such is not suitable for public...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper has provided an explainable gnn framework using differentiable graph discovery algorithm to me more specific it utilize the solution over spanning trees greedy approximation and the explainer gnn ...	this paper proposes a method for automatically discovering graph algorithms using gnns in general the reviewers find the paper wellwritten and the problem and the approach interesting however there is a concern on the practical usefulness of proposed method as shown in the following comments my main concerns are on q...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the convergence of qlearning with two popular empirical heuristics a online target learning and b experience replay the analysis in this paper is established upon the offpolicy setting al...	the paper analyzes a variant of the qlearning algorithm with two modifications online target learning otl and reverse experience replay rep otl is essentially the same as using the target network rep is a new modification of er which instead of randomly selecting samples from the buffer replays them in the reverse orde...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an extension of locally interpretable model agnostic explanations lime called locally invariant explanations linex linex is inspired by invariant risk minimization and aims to provide hi...	the reviewers are largely in agreement that this proposal would benefit from more clarity and comparison to key papersfindings in this space while one reviewer is leaning towards acceptance and their points were considered by the other reviewers there wasnt a consensus towards aligning towardsa an acceptance thus i rec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to incorporate prior knowledge in an rl system to improve exploration the authors propose learning a prior over actions conditioned on either the state or just past actions and s...	this paper was close and also very polarizing with the reviewers on the positive side some reviewers found 1 the results impressive 2 the proposed method to be novel interesting and produce good performance across several settings 3 the paper was well written on the other hand others found 1 the motivation suspect 2 m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a new sparse parametrization method for layers of neural networks that rely on matrix multiplication this method aims to improve the computational performance of previous approaches by ta...	this is an intriguing work that introduces a novel sparse training technique the core insight is a novel reparametrization or sparsity pattern based on the socalled butterfly matrices that enables fast training and good generalization the theory is solid and useful most importantly the method is novel and is likely to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission aims to improve the robustness of vision transformers vit by leveraging interpretability methods during training the proposed approach relies on a recent method for computing pixelwise relev...	initially this paper received positive reviews the rebuttal addresses the remaining concerns all reviewers feel that the contributions of this work are sufficient to merit its acceptance the area chair agrees with the reviewers and recommends it be acecpted at this conference
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides an analysis of variational inference algorithms based on gaussian approximation of variational distributions the paper exploits the theory around bureswasserstein spaces of gaussian measu...	this paper proposes a novel method for variational inference based on wasserstein flows the key contribution is perhaps the rigorous guarantees that are derived from an assumption of logconcavity while the initial submission was unaware of some existing work on vi that derives guarantees from similar log concavity or s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel stochastic method named multiblocksingleprobe variance reduced msvr estimator to track multiple functional mappings across iterations based on msvr the authors develop several ...	the paper makes a nice contribution to the growing field of stochastic compositional optimization in particular it considers the case of coupled compositional problems and provides an algorithm that tracks all the innerlevel objective information required in an efficient manner sample complexities which are intuitively...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: reproducibility summary present scope of reproducibility clearly stated adheres to it code reused author repository communication with original authors yes though indirect communication via other teams ...	the authors did a great job at reproducing the results of the original paper moreover the overall presentation is good and the results are communicated in a very clear and concise way
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a novel algorithm to find the optimal evasion attack against rl in scenarios where the agents policy is known the key idea is to only learn the aspect of problem depending on the enviro...	overall the paper makes good contributions to the area of robust deep reinforcement learning the presentation needs to be improved to avoid any confusions please take all the reviews into account and revise the paper accordingly
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops a hierarchical reinforcement learning algorithm and analyzes its behaviour in four robotic manipulation and navigation tasks the approach is based on a twolevel hierarchy scheduler at the...	this paper presents an approach to hierarchical rl which automatically learns intrinsic taskagnostic options the approach involves a twolevel hierarchy with policies learned by lowerlayer workers and selected by a higherlayer scheduler the approach is evaluated on four complex tasks and is shown to outperform existing ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have proposed a tailored network that extracts information from binary spikes with st representation based on the differential of spike firing time and spatial information aggregation in additio...	this work is focused on the estimation of optical flow from a neuromorphic camera that produces poisson spiking at each pixel with a rate governed by overall intensity the authors use local spacetime aggregation of spiketime differentials to identify features that are then corresponded via a convgru decoder the revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary the paper claims to be the first paper that simultaneously handles byzantine threats while ensuring privacy in a federated learning setup one of their main claims is that this is the first al...	the paper considers federated learning in the presence of malicious clients and a semihonest centralized server the authors provide a novel secure aggregation technique ie split the clients into shards and securely aggregate each shards updates and the estimating things based on the updates from different shards to pro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i have mixed feelings about this paper on one hand its a thorough and wellwritten experimental paper something which is really important but is also clearly underappreciated in the machine learning communi...	strengths solid experiments the paper is well written weaknesses the findings are not entirely novel and not so surprising previous papers eg brevlins et al acl 2018 have already suggested that lm objectives are preferable and also using lm objective for pretraining is already the standard practice see detai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel method on weakshot semantic segmentation in which fullysupervised model maskformer with dual similarity transfer was employed the basic idea is totaly diffrent from the existing ...	two reviewers give a weak accept rating while the other one gives a borderline reject rating considering the low confidence of the negative comment and the contrary comments in paper writing confident easy to follow vs unconfident hard to understand the ac would lean to accept this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript proposes a gp covariance function to model multivariate piecewise constant functions so that computationally efficient inference and prediction becomes possible the authors propose numerical ...	overall reviews on this paper are positive the paper presents a novel binarytree based kernel which yields a structured kernel matrix that allows for near linear time gp inference the approach is interesting theoretically and effective in practice it is a valuable alternative to inducing point methods or other approach...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work lower bounds on randomly preconditioned lasso are provided the authors construct a covariance matrix and a sparse signal distribution under which any randomlypreconditioned lasso program with i...	this paper studies the problem of sparse regression with illconditioned gaussian covariates despite the simplicity of this problem formulation and the extensive studies of sparse linear regression the potential existence of a statisticalcomputational gap for this problem has not been well understood taking a step towar...

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