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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides an analysis of the impact of data geometry on the regions of linearity in deep neural networks to this end it extends previous results by hanin and rolnick which were established in term...	the paper studies the effect of manifold geometry on the complexity of the function implemented by a random relu network as measured through its decomposition into linear affine regions in particular it provides bounds on a surrogate for the number of such regions and the distance of a fixed point to the boundary of i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: because of the explicit inductive bias of gcnn other inductive biases have not been discussed much in this paper the author focuses on and analyzes the nonexplicit inductive bias of gcnns technically they p...	this paper examines the implicit bias of gradient descent of linear group equivalent convolutional neural networks with a single channel and fulldimensional kernel when trained on separable data with exponential loss the main result is that the linear predictor converges in direction to the first order stationary point...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: very interesting topic but not clear exactly what is the contribution or the message the authors want to convey key details of the ae2 model are not defined in the paper the authors say that it is an mdp ...	dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to address challenging stable crystal materials generation problems via diffusion variational autoencoder with graph representation learning several recent advances in generative models and ...	this paper introduces a model named crystal diffusion variational autoencoder cdvae that can learn to sample valid material structures it accounts for known symmetries se3 permutation of the structure via se3equivariant gnns the proposed model is a complicated combination of many existing models modeling techniques v...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work focused on the adversarial mdps with delayed and bandit feedback compared with previous results the author proposes novel algorithms and improves the regret bound of kd23 to sqrtkd which matches t...	this paper has initially received mixed reviews but the author response has successfully addressed the concerns of the less enthusiastic reviewers thus we have eventually reached consensus that the paper is suitable for publication at neurips 2022 that said i encourage the authors to take all the reviewers comments int...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a dataset with human interactions recorded in an acm mm workshop it involves multiple overhead videos audio and wearable sensors with privacypreserving the author group has also provided ...	the paper proposes a dataset with human interactions recorded in an acm mm workshop it involves multiple overhead privacypreserving videos audio and wearable sensors the author group has also provided continuous key points speaking statuses and fformation annotations the dataset supports personkeypoint detection speaki...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents the lowrank global attention module that can be incorporated into graph neural networks gnn to improve their generalization power it analyses and proves the random graph neural...	the paper provides some contribution to the field by exploiting in an unexplored way background knowledge already covered by relevant literature presentation of the proposal is well structured and clear the paper is also providing interesting theoretical and experimental results the theoretical results however could b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a modification of ddpm for conditional generation in which they explicitly model the conditional mean cluster center in the forward and reverse diffusion processes this modification is m...	the paper presents an interesting approach for defining conditional diffusion models the core idea of this work is based on a new analysis of how class centers evolve in the forward diffusion process on this positive side this work builds on top of this analysis and introduces conditional diffusion processes that are g...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores the prospect of theorem proving in natural mathematical language using large language models llms two representative tasks are considered generating the next step in a partial proof and ...	the paper addresses an exciting problem statementgenerating theorems directly in natural languageand shows how to adapt large language models to this task both for autocompletion proof reference generation and wholecloth proof generation while previous works have considered various auxiliary mathematical tasks posed in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the adversarial robustness of bayesian classifiers the authors state two conditions that they show are provably sufficient for idealised models on idealised datasets to not have adversaria...	this paper conducts a study of the adversarial robustness of bayesian neural network models the reviewers all agree that the paper presents an interesting direction with sound theoretical backing however there are important concerns regarding the significance and clarity of the work in particular the paper would greatl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a personalized federated learning pfl method to achieve communication efficiency robustness and fairness by projecting local models into a sharedandfixed lowdimensional random subspace a...	the paper gives an approach to personalized federated learning which incorporates client heterogeneity robustness to attacks and fairness in performance the proposed method is interesting though the simultaneous incorporation of multiple concerns makes it somewhat difficult to disentangle the role of different choices ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper addresses the task of understanding procedural text using a reading comprehension based approach this work proposes jointly modeling entity attributes and transitions in o...	this paper proposes a model for reading comprehension of procedural texts that jointly predicts entity attributes and transitions in entity state the model achieves stateoftheart results on multiple datasets reviewers appreciated both the novelty and the simplicity of the proposed model as well as the strong empirica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 3 new data augmentation strategies are proposed for compositional data and these methods are tested on microbiome data with the proposed methods stateoftheart results in disease prediction tasks including c...	this paper proposes three different easy to implement methods for dataaugmentation when learning models on compositional data where each feature lies in a potentially highdimensional simplex the basic idea is that for such data it is important to create augmentations that respect the fact that data are within the simp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of robust sparse mean estimation in this problem we observe samples from a heavytailed distribution whose mean is a sparse vector this distribution is assumed to have bounded...	the paper studies the problem of sparse mean estimation in presence of heavy tailed noise the result of the paper are novel and interesting improvement over work of prasad et al is significant as the paper is able to provide a computationally efficient method for the problem claims about huber contamination model shou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores data security in multimodal contrastive learning in particular it designs an imagetext pair generation to poison the dataset driving the model to misclassify a particular test input or a...	the paper studies attacks on the selfsupervised training pipeline of multimodal models eg clip and related models the reviewers agree that the poisoning results are impressive in that they achieve good poisoning success with a fairly small number of samples the threat model is fairly specific to one high profile type...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an interesting idea on data augmentation via mixture of samples unlike typical ways of mixbased data augmentation methods this work performs iterative mixtures which is able to reuse the...	the manuscript has been reviewed by five reviewers with ratings of 45677 the reviewers are in general happy with the contributions novelty experimental validation and mostly recommended acceptance the ac agrees with the majority vote and would like to recommend acceptance congratulations
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper developed an adaptive aggregation method for federated learning the theoretical analysis shows how the interval affects the convergence rate the experiments show that it can reduce the communicat...	this paper proposes a layerwise adaptive aggregation method for federated learning that seeks to reduce the communication cost the frequency of aggregation is adjusted separately for each layer of the model that is being trained the number of iterations tau after which each layers parameters are averaged across clients...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper proposed aestheicnet in order to solve the problem of bias in beauty prediction motivation for this type of work is lacking what can be gained from beauty prediction even if it is unbiased hypothesi...	the paper proposes a new neural network the aestheticnet for a biasfree facial beauty prediction all the reviewers agree that the work is not suitable for publication as it raised some serious ethic concerns prediction of beauty aesthetic scores is a potential harmful application wellintended as it may be a research a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a theoretical work studying a widely used heuristic in classification with label corruption the algorithm of interest is trimmed maximum likelihood estimation ie finding the parameters with maximum ...	this paper analyzes trimmed maximum likelihood estimation tml for generalized linear model when the data is corrupted adversarially under a range of link functions minimax nearoptimal risk is shown achieved tightening the stateoftheart results in addition to label corruption extensions were made to covariate corrupti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies episodic rl in tabular mdps in the regret minimization setting and presents an algorithm called ssr which follows the principle of exploration via randomized value functions the paper pre...	thank the authors for their submission the paper studies regret minimization in finitehorizon tabular markov decision processes it is the first to show an optimal up to logarithmic factors regret bound of widetilde oh sqrts a t to thompson samplingtype algorithms a good addition to the ts literature showing another c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose implicit gnn with an effective range concept while previous implicit gnns can be treated as neural networks with infinite layers sharing the same weights mgnni can exploit...	the paper points out the limited effective range problem of existing implicit graph neural networks and proposes to use multiscale propagation ie use adjacency matrix with different powers to alleviate the problem all the reviewers vote towards an accept after the author rebuttal the authors are encouraged to include c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents the recursive gated convolution gn conv that performs highorder spatial interactions with gated convolutions and recursive designs the proposed module can serve as a plugandplay module fo...	this paper introduces a new operation gnconv and a computer vision network architecture hornet motivated by the success philosophy of vision transformers the key idea of gnconv is to build a recursive form of gated convolution it make the module inputadaptive and with longrange and highorder spatial interactions cons...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a new model for obtaining objectlevel 3d scene representations from images the proposed method models 3d scenes by parsing objects onebyone into structured representations of s...	the paper proposes learning of 3d object representation from images the pretraining used assumes it can generate implicit 3d models for the objects and then objects are detected in multiobject scenes without further supervision reviewers raised concerns regarding experiments being conducted only on synthetic data autho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors establishes a connection between gpca and graph convolution graph convolution as a first order approximation of gpca and uses that connection to 1 propose a gpcanet model and 2 propose a new ini...	the paper presents several related results the initial main result consists in relating gpca to gcn showing that gpca can be understood as a first order approximation of some specific instance of gcn where the w matrix is directly defined on data this result is then exploited to define a supervised version of gpca as a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: sharing parameters among all agents usually limits the behavioral diversity while learning a separate policy for each agent without any parameter sharing usually leads to high training complexity to balance...	this paper proposes a method to dynamically group agents with similar representations and assign subtasks to each group so that they can effectively share parameters among agents within the same group while specializing across groups the results on starcraft micromanagement benchmark and google research football domain...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a modified way of doing selftraining that aims to improve the performance when the unlabelled data is not coming from taskrelated labelled data with artificially removed labels the autho...	this paper proposes a method for selftraining in an openworld setting where a significant portion of unlabeled data might include examples that are not task related the proposed method odst uses a more accurate ood detection technique which allows an improved sample selection leading to higher accuracy strong points ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors extend the idea of randomized smoothing used to tackle adversarial perturbations to the paradigm of metriclearning based fewshot learning algorithms eg prototypical networks in part...	this paper proposes a certified robustness method for fewshot learning classification based on randomized smoothing the reviewers found the theoretical results and empirical evaluations successful in demonstrating the robustness of the method providing a practical algorithm for robust fewshot learning problem there wer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper describes an instance specific finetuning method for image and video compression including finetuning the decoder based on the shown experiments the required additional bits for sending t...	the paper suggests a procedure to efficiently adapting a learned neural compression model to a new test distribution if this test distribution has low entropy eg a video as a sequence of interrelated frames large compression gains can be expected to achieve these gains the method adapts the decoder model to the new ins...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proves for the convolutional neural networks cnns the strong lottery ticket hypothesis which previously is brought out based on empirical findings that a substantially overparameterized random ne...	the paper presents interesting new results for pruning random convolutional networks to approximate a target function it follows a recent line of work in the topic of pruning by learning the results are novel and the techniques interesting there are some technical issues that are easy to fix within the camera ready tim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript focuses on to provide an elegant approach to visually attributing the classification result of a frozen pretrained blackbox classifier called as explanandum on the input images the author pr...	the paper proposes an attribution prediction approach to enhance the interpretability of dnn models for this purpose a second explainer model is used which can generality classspecific masks for the classification of relevant regions the reviewers have overall commended the novelty of the approach clear writing and d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to debias classifiers and make them robust to spurious correlations which is mainly based on learning an ensemble of intentionally biased models which will help to identify minor...	the manuscript considers the problem of learning to classify from spuriouslycorrelated data when annotations for the spurious attributes are absent the general idea is to learn an ensemble of intentionally biased models which will help to identify minority biasconflicting examples in train data and increase their impor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a crossmodal retrieval augmentation for the multimodal classification task vqa the authors first introduce a transformerbased image caption retrieval architecture that achieves decent pe...	the paper discusses the problem of how to augment crossmodal retrieval for the task of multimodal classification it uses image caption pairs to improve downstream multimodal learning and shows improvement in the task of visual question answering however the paper has the following weaknesses a lack of novelty b lack o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present a new dataset multimodalqa with the intent of measuring a models ability to reason across different modalities free text structured tables and images in question answering and i...	the paper presents a new dataset for multimodal qa that is deemed interesting relevant and well executed by all reviewers multimodality in nlp qa included is an increasingly important topic and this paper provides a potentially impactful benchmark for research in it all reviewers acknowledge that we hence recommend to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors apply algebraic geometry to program synthesis by identifying programs with points of analytic varieties they construct a smooth relaxation to the synthesis problem by considering the space of pr...	this paper is a bad fit for iclr and the authors may consider submitting to more theoretical venues this paper studies algebraic geometry an area unfamiliar to most iclr readers of program synthesis with the hope that algebraic geometry can assist in developing the next generation of synthesis machines unfortunately th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a series of methods to tackle policy learning in pomdps at the core of the proposed method sits an augmented memory that the agent is allowed to write on and read from at...	this paper presents a refreshening insight into the classical idea of using external memory for reinforcement learning agents that learn and act in partially observable environments the authors investigate a number of different memory architectures ok oak kk and provide an insightful discussion on why we want to restri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces sparse continual learning a continual learning framework that overcomes catastrophic forgetting of deep networks in the learning of a task stream and accelerates the training and infer...	this paper introduces a new continual learning scheme whose efficiency and effectiveness are achieved through three key components that encourage sparse network weight connection replay buffer selection and sparse gradient truncation after the authorreview discussion phase a majority of reviewer suggest acceptance only...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel approach to providing an explanation for the prediction made by offtheshelf tensor factorization models by using its scores to create an augmented weighted knowledge graph and sco...	the paper looks into explaining the predictions of factorization models ie posthoc interpretation this is an important problem and there is very little work into this in the context of factorization models judging from the paper and the authors replies here in the discussion forum the goal is to produce explanations...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of irrelevant propagation to one node and in multichannels in gnns via modeling relevances between propagations the proposed method is called open for orthogonal propagation wi...	reviewers recommended borderline accept borderline reject and accept reviewers found the article studies one of the main issues of gnns and proposes a simple but effective solution method supported by extensive experimental evaluation there were some reservations about the comparison with other methods and the theoreti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper compares graph neural networks gnns with graphaugmented multilayer perceptrons gamlps where gamlps are mlps over nodes with additional node features computed over the graph the paper contains theo...	this paper compares graph augmented mlps gamlp which augment node features by a single aggregation of neighbors and then pass the resulting features through an mlp to graph neural networks gnns the paper establishes results on representational power of some gamlp models being less powerful than gnns while practitioners...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper presents a new activation function leaky tiling activation designed with the goal of learning sparse representations where only a few units activate for a given input this new activation...	this paper proposes a new sparsityinducing activation function and demonstrates its benefits on continual learning and reinforcement learning tasks after the discussion period all reviewers agree that this is a solid paper and so do i i am thus recommending it for acceptance as a poster hopefully such visibility combi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors show the current state of a toolsuite for knowledge capture they well motivate the need for such a tool in industry 40 and show that it has been successfully applied in industry the...	the reviewers agree that this is a relevant paper for the workshop but in its current state the paper is not ready for publication the paper is framed as a position paper but according to the reviewers the vision is not well explained while the paper is limited to the description of the implementation which does not ha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper theoretically studies the operators on a manifold mathcalm that commute with the group of diffeomorphisms textdiffmathcalm specifically the author proves that in the case of a scalar fields only ...	overall studies operators mapping vector and scalar fields defined over a manifold m and which commute with its group of diffeomorphisms diffm reviews the paper received three reviews all of them on the positive side accept less confident weak accept less confident borderline accept less confident it seems that all re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the task of hotrefresh model upgrade ie the task of deploying a new model into production while the gallery features from an older are still being reindexed in retrieval systems and stud...	this paper is proposed to deeply investigate the hotrefresh model upgrades of image retrieval systems the hotrefresh model is very useful since the model can be quickly updated after the gallery is backfilled to address the model regression with negative flips this paper introduces a regressionalleviating compatible tr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work introduces a new family of bregman divergences for density ratio estimation with flexible models that aims at solving the trainloss hacking problem the contribution is foremost theoretical...	this paper discusses the likelihood ratio estimation using the bregman divergence the authors consider the trainloss hacking which is an overfitting issue causing minus infinity for the divergence they introduce nonnegative correction for the divergence under the assumption that we have knowledge on the upper bound ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the semisupervised federated learning problem where the server has access to a limited number of labeled data while the clients have access to massive unlabeled data they claim that direc...	there was some disagreement in reviewer scores for this paper which proposes an algorithm for semisupervised federated learning the recurring concerns centered on a few points i the lack of theoretical analysis of the proposed algorithm ii the apparent disconnect of the presented analysis from the setting under conside...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: there is a growing interest in vertical federated learning where each party only store a subset of features due to its various important applications this paper studies how to make vertical federated learni...	reviewers have all agreed that this paper studied an important problem and made valuable contributions the goal is to reduce the communication costs of federated learning where the data are stored in different parities based on subsets of features the paper developed the theory to show guaranteed convergence and prov...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel connection between adversarial attack on graph neural networks in a restricted blackbox setup via node feature perturbation on the one hand and the influence maximization probl...	this paper relates the problem of influence maximization and adversarial attacks on gcns the paper and its formulation and assumptions stirred up quite a discussion among the reviewers and the authors i do appreciate the thorough rebuttal that the authors provided and the reviewers did take it into account and revised...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents backpropamine a neuromodulated plastic lstm training regime it extends previous research on differentiable hebbian plasticity by introducing a neuromodulatory term to help gate informatio...	the authors consider the problem of active plasticity in the mammalian brain seen as being a means to enable lifelong learning building on the recent paper on differentiable plasticity the authors propose a learnt neuromodulated differentiable plasticity that can be trained with gradient descent but is more flexible th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper aims to improve adversarial robustness considering the information about the object shape details with the means of edge maps two different strategies are proposed to increase model robus...	the paper proposed a method for adversarial robustness by considering information from the edge map of the images two reviewers point out the similarities of the paper with previous work 1 and it is unclear whether the benefits come from binarization of the input or from shape information as such the paper is not sugge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a contrastive learning objective to learn representations for an rl agent the basic objective is taken from relic but instead of augmenting states which requires prior knowledge of the ...	this paper introduces a new transformer architecture for representation learning in rl the key ingredients of the proposed architectures are a novel combination of existing methods 1 the use of lstms to reduce the need for large transformers and 2 a contrastive learning procedure that doesnt require human data augmenta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new type of anchorbased gnn by implicitly exploiting node positioning within customized message passing steps of mpnn the framework consists of an anchor labeling strategy and a specif...	this paper proposes to encode positions of nodes in graphs by anchorbased gnn with customized message passing steps all reviewers raised significant concerns on this paper including novelty of the message passing steps experiments writing and clarity etc the authors have actively responded to reviewer comments but many...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a method for nextbest view prediction for reconstructing largescale 3d scenes with a depth sensor they derive a formula to estimate the surface coverage gain for any potential camera p...	the paper describes an approach to nextbestview nbv planning for the reconstruction of largescale 3d scenes using depth sensors the proposed framework models the scene using a probabilistic occupancy map and chooses the nextbestview as the free camera pose that maximizes the gain in surface coverage integral to the app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focus on solving a game ie deciding the winlose outcome for each game state in order to finish the task in limited time it is necessary to expand as little leaf nodes as possible when searching o...	this paper modifies the alphazero algorithm to generate proof tree size heuristics and shows empirical improvements over standard search algorithms this is an interesting distinction that might lead to algorithms with distinct play styles and a deeper understanding of the games that we apply our agents to the two posi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: apologies for this belated review summary the authors consider the task of imputing missing data using variational autoencoders to do so they assume a fixed pretrained generative model perform variational...	this paper proposes to approximate arbitrary conditional distribution of a pertained vae using variational inferences the paper is technically sound and clearly written a few variants of the inference network are also compared and evaluated in experiments the main problems of the paper are as follows 1 the motivation ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a postprocessing mechanism to wrap blackbox predictors such that their predictions become compatible with an ancillary criterion such as fairness to this end the authors propose to use so...	this paper tackles the important and interesting problem of how to transform blackbox models so that their outputs having improved fairness the proposal of using an alphatree an axisaligned decision tree that reweights the existing model seems elegant and does indeed have some useful form of interpretability the prim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors seem to have great knowledge of interesting informationtheoretical tools that can be used to analyze the performance of patternrecognition methods and guide the design of model fitting procedure...	this paper performs visual odometry using variational information bottleneck it assumes video and pose observations and aims to find a latent state that is maximally predictive of the pose observations while minimizing the mutual information between the image observations and the latent state it approximates this cost ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes and approach to mitigate mode collapse in arbitrary gans this is relies on the assumption that mode collapse relates to catastrophic forgetting in the gan discriminator the authors design...	the authors propose an approach to mitigate mode collapse phenomena in gans motivated by the intuition that mode collapse stems from catastrophic forgetting of the discriminator the authors propose a solution inspired by recent research in continual learning and dynamically add new discriminators during training the au...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the following variations of problems of sequential learning in tabular adversarial mdp with bandit feedback learning in episodic mdp for the setting with known and unknown transitions of ...	this paper has received uniformly good reviews and the reviewers were all happy with the author responses as well thus the paper is clearly suitable for being published at neurips 2022 i encourage the authors to execute all the small updates promised in the rebuttal period when preparing the final version of 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 propose a method rap for generating adversarial examples that are transferable to other models the authors identify that adversarial examples lay on a flat minimum will be more lik...	this paper studies the transferability of adversarial examples in general the reviewers found the paper is well motivated and the proposed method is simple and effective most initial concerns were about missing comparisons and ablations all these concerns are well addressed in the rebuttal as a result all reviewers u...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the lowshot learning problem with application to histology image classification specifically contrastive learning pretraining is used for representation learning in an unsupervised manner...	paper presents an approach and evaluation setting for fewshot learning in histology images the approach leverages contrastive learning pretraining and latent augmentation la for data augmentation the evaluation examines indomain fewshot learning mixed domain fewshot learning and out of domain fewshot learning latent...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper builds on recent working attempts to debais sentence encoders by considering modified sentences sentences are selected that for example contain gender cueing words and then swap those words with a...	the paper presents a fair filter network to mitigating bias in sentence encoders by constructive learning the approach reduces the bias in the embedding while preserves the semantic information of the original sentences overall all the reviewers agree that the paper is interesting and the experiment is convincing esp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper is an extension of previous work sparta with two improvements one is to use a learned belief model to sample in a large state space the other is to improve the efficiency by replacing ful...	this paper has some interesting ideas and is an incremental improvement over previous work however it needs further revisions and polishing the relation to prior work is a bit unclear since you mention pomdps what would be an equivalent version of your method in pomdps why not compare your algorithm with a stateofthear...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors present a selfsupervised pretraining model for time series ts data by leveraging timefrequency consistency tfc the main idea is that timebased and frequencybased representations of ...	the reviewers highlight the novelty and significance of the proposed approach the extensive empirical evaluation and the clarity of writing additional experimental results provided during the rebuttal cleared up some concerns around the general applicability of the approach
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper is easy to understand and the proposed pipeline is clear 2 the proposed loss term seems pluggable and easy to use 3 the results show promising performance compared to previous methods 1 the nove...	while unfortunately only one reviewer responded the ac has studied the paper carefully and agrees with the reviewer the paper fits well within the idea of presenting journal work at midl
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to solve the machine translation task without any bitext data and using only a pretrained generative language model to bootstrap the process the entire method relies on using powerful pr...	this paper proposes an alternative method to improve unmt by using only a pretrained generative language model to bootstrap the process in all the reviewers think the proposed method is reasonable however the empirical part is not convincing most reviewers think that evaluating the method on one language pair enfr i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a procedure to extract disentangled representations from pretrained bert models in particular the paper proposes learning binary masks over bert weights or as an alternative over...	this paper explores a methodology for learning disentangled representations using a triplet loss to find subnetworks within a transformer the authors compare against several other methods and find that their method performs well without needing to train from scratch the reviewers thought this paper was well written an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper talks about how adversarial perturbations can affect the performance of ood detectors they present a unified framework to study both adversarial attacks on indistribution as well as ood ...	reviewer znpo raises some concerns about the novelty and contributions of this paper based on the comments of both reviewers this paper is accepted as a long paper please clarify the novelty and contributions in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper considers a setting of unlearnable examples where a given dataset is perturbed in a way to make it hard to learn the true task in essence data here gets perturbed with correlated noise such that when ...	the paper proposed a novel autoregressive perturbation method to make the data unlearning the method is independent to models and data making it more easy to be used reviewers found the idea is novel and intuitively reasonable the authors responded to reviewers detailed questions about the method and experiments the re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a general methodology for simtoreal transfer learning for reinforcement learning policies in humanrobot interaction scenarios the method iterativesimtoreal is2r attempts to simultaneousl...	the paper proposes iterative simtoreal is2r to train robotic policies that are proficient at interacting with humans upon deployment collecting data in simulation requires a human model while collecting interaction data in the real world requires a policy for the human to interact with this chickenandegg problem is r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have put decent effort to bring conceptbased representation learning and disentanglement learning together under one umbrella in terms of the quality of generated concepts in presence as well as...	this paper considers the question of whether recent conceptbased learning algorithms as well disentangled representation learning algorithms result in highquality representations in particular the authors consider what highquality should mean in terms of the relationship with ground truth concepts and the ability to ma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces stego selfsupervised transformer with energybased graph optimization a novel feature correlation refinement method that builds on top of modern selfsupervised visual backbones visualtra...	the paper received two accept and two marginally accept recommendations all reviewers find value in the proposed supervised semantic segmentation methodology making selfsupervised representation learning towards dense prediction tasks like segmentation or clustering without explicit manual supervision and appreciate th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors claim that the usefulness of the learning components eg contrastive objective proposed in previous representation learning for rl is highly dependent on the specifics of the task category and th...	meta review for learning representations for pixelbased control what matters and why in this work the authors presented largescale empirical evaluations and ablation studies to analyze various components eg contrastive objectives modelbased approaches data augmentation for pixelbased control with distractors reviewer ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method somewhat similar to deep cfr neurd and rpg where a policy is trained to predict a weighted counterfactual regret in small openspiel experiments the method seems to outperform ne...	this paper presents a actorcritic hedge ach method for 1on1 mahjong it is is an actorcritic method for approximating nash equilibrium strategies in large extensiveform games ach extends the cfr family of algorithms that uses deep learning and modelfree training not using full game traversal the propose ach agent defeat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the approach uses feature pyramid networks which are powerful at detecting small features the approach shows improvements over the baseline approaches the approach has potential to be pluggedin to other a...	the authors propose a new architecture to address a specific detection problem since the architecture rely on existing components the methodological novelty is marginal however the authors address a novel application they provide a thorough evaluation with ablation study and statistical test the authors took the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies exploration bonus in practical deep rl based on sample average uncertainty sau and upper confidence bound ucb sau is a recently studied novel uncertainty quantification that works for rat...	although the reviewers found the idea of the work interesting they all think it is not ready for publication the experiments do not properly support the claims discussion on the connection to some related work is missing and also the proposed method is not well motivated i suggest the authors to take the reviewers comm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of review this paper provides a detailed analysis of gradient flow in overparametrized twolayer linear neural networks the main results state the precise dynamics of gradient flow for both symmetri...	this paper studies the implicit acceleration of gradient flow in overparameterized twolayer linear models the authors show that the amount of acceleration depends on the spectrum of the data without assuming small balanced or spectral initialization for the weights and establish interesting connections between matrix f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the role of atypical samples in the context of adversarial robustness and further introduces a variant of adversarial training based on these observations the proposed benign adversarial ...	this paper tries to improve the training of adversarial deep neural networks by avoiding fitting the harmful atypical samples and fitting more benign atypical samples overall the main concerns are 1 the current presentation can easily cause some misunderstandings on the observations made in section 3 especially 1 an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper introduces a framework that uses an lsh sketches to improve time an memory bottlenecks neural network training specifically an lsh sketch is used to approximate the matrix m...	thanks for your submission to iclr when the initial reviews were written three of the four reviewers were positive about the paper everyone felt it was overall a solid contribution but there were some concerns about the clarity and presentation as well as some suggestions for additional experiments during the rebutt...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a model that corrects vae by an energybased model defined on image space the model is learned in two phase the first phase learns the vae model while the second phase learns the ebm corr...	this work presents a method to combine ebms and vaes in two stages first the vae model is learned second an ebmbased correction term is learned via mle the methodology is novel and of interest to the iclr community
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to address the issue of mitigating side effects in policy learning the authors propose an algorithm sarl which uses a safe policy to define a regularization term for penalizing the agents ac...	based on the paper reviewers comments and discussions and the responses the metareviewer would like to suggest the authors to improve the paper and resubmit
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds on the top of standard highdimensional neural networks limited to 248 16 dimensions by introducing an elegant way to deal with others dimensions while preserving the internal relation lear...	the authors propose a new parameterization which across multiple architectures generalized hypercomplex multiplication and provides for small low dimensions strong performance at substantial parameter savings all reviewers are happy with the theoretical contributions of the work but would appreciate additional empirica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method combining privacy and byzantinerobustness for distnacebased aggregation this is a relevant and interesting topic the paper assumes that it is not a problem that one of the se...	this paper presents a secure aggregation method to ensure byzantine robustness the reviewers thought that the idea was interesting but had the following concerns relaxing the assumptions used in the theoretical analysis as much as possible run more extensive experiments i encourage the authors to their feedback into ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: consideration of predictive uncertainty is of high importance in medical image analysis and still often overlooked the experimental evaluation is methodologically correct the presented approach is compar...	for this paper there was a very active rebuttal phase where the authors appropriately addressed most of the reviewers concerns one reviewer would have liked to see a stronger focus on downstream tasks however there is general consensus that the work was conducted well and merits publication and i agree and recommend ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary sok a generalized multileader state machine replication tutorial presents a pedagogical consensus protocol called ppaxos and several improvements on it the main idea is that we can understand compl...	dear authors thank you for submitting to jsys after reading the reviews i recommend a revise decision i believe the concerns of reviewers can be addressed in the next three months after the submission of your revised version reviewers will evaluate your modifications and a final decision will be made to summarize the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a moduleaware optimization method for a commonly adopted learning paradigm learning with auxiliary losses inspired by multitask learning the authors point out that different auxiliary lo...	the paper investigates moduleaware optimization for auxiliary learning which adjusts the impact of the auxiliary tasks through their losses at the modulelevel instead of treating the model as a whole the motivation is based on the observation that a certain auxiliary loss may be beneficial for optimizing specific modul...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the scenario that one want to not only deploy pretrained models but also continue trainfinetune these models on local devices it proposes a novel method called black razor that reduces...	this paper focuses on pruning the backpropogation activation to reduce the memory footprint in transfer learning the paper is well structured and the method is simple to understand all the reviewers acknowledge that the experimental results are convincing overall the metareviewer recommends acceptance of 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 propose a novel method to unify the topdown and bottomup attention together for recurrent visual attention they also propose two constraints in the bottomup recurrent neural networ...	this submission receives mixed reviews one reviewer leans positively while two reviewers are negative they raise several issues upon improper evaluations insufficient experimental analysis baseline and sota network comparisons presentation unclarity and technical motivations in the rebuttal and discussion phases the au...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds upon work from several fields adversarial attacks mad competition and eigendistortion analysis which are analysis by synthesis methods used to generate small magnitude perturbations by som...	all the reviewers are in agreement in their recommendations to accept the paper the topic of the paper brings along many different subfields including adversarial attacks and image quality assessment and should be interesting to several folks in the community there are several constructive comments by the reviewers tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the highdimensional limit of sgd with constant stepsize the authors obtain an odesde type of limiting dynamics for the trajectory of a given finite set of summary statistics when the...	the paper is quite interesting and rigorous with intriguing conclusions the rebuttal also addressed all the major concerns mostly technical clarity i congratulate the authors for the nice work and recommend an acceptance for the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a strong and efficient robust training framework for rl to directly estimate the optimizes the worstcase reward of a policy under p attacks the authors empirically show that the proposed...	this paper introduces a novel adversarial training method that directly computes a worstcase performance under budget bounded attacks during the training process as a result the method is more sample efficient and achieves stateoftheart performance across a number of test cases the reviewers agree that the contributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the efficiency issue raised by gnn training on large graphs the proposed solution falls in the category of data parallelism which aims to partition graph into smaller parts while reduce...	the paper is concerned with improving the scalability of gcns which is an important problem and relevant to the iclr community for this purpose the authors propose a new distributed training method for gcns which uses a boundary sampling strategy to reduce the number of boundary nodes the paper is written well and over...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: thanks for authors for their paper i enjoyed reading it this paper introduces a new method for computing the backward updates of a neural network called direct kolenpollack learning dkp similar to direct f...	this paper investigates an improvement to the direct feedback alignment dfa algorithm where the backward weights are learned instead of being fixed random matrices the proposed approach essentially applies the technique of dfa to kolenpollack learning while reviewers found the paper reasonably clear and thought the exp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new financialrelated dataset in the field of graph anomaly detection which is both dynamic and largescale this dataset fills the lack of largescale datasets for dynamic graph anomaly d...	this paper presents a largescale and realworld dynamic graph in the finance domain which is applied for anomaly detection in addition nine supervised and seven unsupervised methods have been evaluated on dgraph this paper may push forward the research in the anomaly detection community however the presentation of this ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the neural network verification problem where it builds on bound propagation methods to account for cutting planes generated by milp solvers experimental results on a number of benchmark...	all the reviewers found the work to have promise but there was concern about the novelty of the work that said the experimental results showcased the power of the approach the authors are advised to put their work in the context of prior work overall there was a consensus that the paper deserves to be published and he...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quality overall the technical content appears correct the authors present results that show their proposed armcmc method outperforms rls and conventional mcmc for a huntcrossley problem the results also sho...	pros the authors propose a novel method to perform mcmc in the condition where there is a distribution over models describing the data rather than just a distribution over the parameters of a single consistent model ie in the theme of reversible jump mcmc sampling from the posterior of mixtures of parametric models is...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: thank you for submitting your work to jsys the paper tackles an important and often overlooked problem of replicability in networking research the effort is commendable thorough and can be used by other res...	the reviewers are overwhelmingly positive about the submission there are minor issues pointed out in the detailed comments and we believe the issues can be resolved in a short timeframe update on 917 the reviewers agree that the paper sheds light on a crucial issue and appreciate the effort in building a concrete too...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors present an empirical study on exploiting a classical coincidence detection based method for classification experiments on classifying pathogenic bacteria from raman spectroscopy data is performed sh...	the authors use a simple coincidence detection algorithm on pathogenic bacteria data set and increase performance by 05 with respect to a resnet26 that was published previously the manuscript is quite thought provoking showing that a simple algorithm can potentially outperform a complex deep neural network however all...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the idea of combining learning representations and ensemble clustering is interesting and possibly promising i think this paper in its present form is not ready to be published though cited literature on...	this paper proposes a model for learning using ensemble clustering the reviewers found the general idea promising however while promising all reviewers noted that in its curent form the paper is not fit for publication the reviewers pointed out missing references issues with the abstract lack of motivation for some of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is relevant for the workshop the authors explore which transforms need to be applied to a source object to match a target object the interventional framework section is described well it would be...	the reviewers agree the paper should be accepted at the workshop congratulations the authors are encouraged to take the feedback by the reviewers into account when preparing the cameraready version of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 strengths the authors target an important problem in federated learning how to personalize the model to mitigate the noniidness 2 weakness the proposed method is not novel the third step which finetune...	the paper presents a personalized federated learning approach using a mixture of global and local models four reviewers evaluated this paper one of the reviewers is lukewarm 6 while the rest of the reviewers pretty negative to this work 3 3 3 the reviewers pointed out many weaknesses especially about novelty motivation...

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