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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new approach to solving the problems of generating values from hierarchial sources combining elements from different nesting levels it introduces a way to naturally group nested elem...	the four reviewers agreed on the quality and the necessity of the paper although i would suggest to the authors to look in detail at the comments provided and integrate or include them in the cameraready version or in future associated resources ie spec this paper is important for both workshop and community group wher...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the approach in the paper is to learn a locallyfactored dynamics model and the parent distribution of experience data and use both to generate samples to augment experience data towards helping the agent re...	the paper suggests to improve sample efficiency and outofdistribution generalization in rl by learning locally factored world models and use these models to generate counterfactual data to train on the key assumption is that the environment model is the right model to factorize as opposed to say a policy or value funct...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes an optimization method called all learning rate at once alrao for hyperparameter tuning in neural networks instead of using a fixed learning rate alrao assigns the learning rate for each...	the paper proposes a new optimization approach for neural nets where instead of a fixed learning rate often hard to tune there is one learning rate per unit randomly sampled from a distribution reviewers think the idea is novel original and simple overall reviewers found the experiments unconvincing enough in practice ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission empirically studies the efficacy of adversarial training for mitigating the effect of label noise in training data their findings are as follows 1 smoothing effect of adversarial training a...	all reviewers agree that the proposed idea looks interesting but the paper is seriously lacking in the definition of its scope there is no quantitative result experiments are quite limited and there is not enough discussion of the limitations with more work this could become a very interesting paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an extension of previous works on training a visual policy to control a robot arm in a manipulation context the policy is pretrained on a large robot experience dataset eg different robot...	this paper proposes a method to improve the transfer of visual control policies between robots the method extends a visual foresight approach using a learned robotagnostic worlddynamics model and a potentially analytic robotspecific robotdynamics module a key aspect of the method is to form a blocky mask over the rob...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduced flexible and scalable deep learning methods to estimate causal effects in the presence of unmeasured confounding using proximal inference strengths the authors proposed a new deep lea...	reviewers agreed that the paper proposes a new and valuable method for proximal causal inference with a solid theoretical analysis the reviewers pointed out several ways in which the theory might be improved some of which have already been undertaken by the authors while some remain open a potential drawback is that th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of contributions this paper presents an entirely unsupervised method for taking as input a corpus of reviews about a set of items and building as output a directed graph where each node represents ...	this paper addresses the task of unsupervised knowledge base construction the reviewers like that the authors present a novel unsupervised approach and are happy with the thorough experiments however they also point out that the approach could be motivated better and that it makes many assumptions that are not explaine...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this study proposes to use zeroorder optimization methods for neural architecture search based on the empirical observation that the approximation of differentiability will distort the loss landscape and le...	the paper proposes a series of zeroth order optimization approaches to stabilize darts training although the reviewers think that zeroth order approach is novel to the nas community they also point out several weaknesses in particular the method will introduce extra computation time and the results are not really stand...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a factored adaptation framework for reinforcement learning in nonstationary environments the paper first formalizes the notion of factored nonstationary mdp fnmdp which augments a factore...	the paper proposes a factored reinforcementlearning method to deal with nonstationary environments after reading the authors rebuttals the reviewers agree that this paper provides an original and sound contribution that deserves publication we recommend that the authors modify their paper as reported in their answers t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers reinforcement learning rl for finding nash equilibriums ne in general stationary meanfield games mfg it attempts to address the problem of designing a singleloop rl algorithm which upda...	this is interesting work but not yet sufficiently mature for publication although the authors propose an novel algorithm and provide an analysis the reviewers raised several criticisms about the comparison to previous work the lack of any empirical evaluation the strength and unnaturalness of the assumptions used to e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes to learn locomotion skills on soft robots made of springs it proposes to leverage differentiable physics along with a nn controller based on siren which allows to directly learn policies ...	a nice paper and very close to being good but the focus on hyperparameter tuning of the optimisation method is really not novel and the experimental validation is not strong enough with both theory and experimental just being marginal improvements the paper is not considered quite ready yet strong suggestion to impr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper presents a graphnetworkbased architecture for learning to perform meshbased simulations which can be run more efficiently than the full groundtruth simulations the experiments demonstra...	the paper develops a methodology for using graph neural networks for meshbased physics simulation this extends recent work that focused on grids or particles to meshbased domains which are challenging due to irregular and possibly changing connectivity the reviewers had some concerns but recognized that this is an impo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work adapts stochastic neighbor embedding sne to acoustic segments to learn acoustic neighbor embeddings ane which are fixed dimensional embeddings of variablelength speech they also learn emb...	this paper propose to learn the embedding of audio segment in the framework of stochastic neighbor embedding sne where the embeddings of the same word shall be close to each other the method was initially demonstrated for name recognition the use of sne for acoustic embedding is novel and this is recognized by all revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to learn a languageconditioned dynamics model without action labels and shows that the representation learned by this dynamics model can improve downstream policy training when combined w...	this work proposes to learn better representations for language descriptionbased tasks like navigation via first pretraining a dynamics model on sequences of observations without action labels and using this model to aid rlbased policy learning good empirical results are presented and the work has been wellreceived the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of learning a random variable x which can be written as the sum of n independent integer random variables x1 xn x is called a siirv they mainly consider the question of learn...	the authors address the fundamental problem of learning the sum of n independent random variables not necessarily identically distributed they concentrate on the setting where the variables have infinite support in general its known that the sample complexity for this problem is not bounded but they get around this bar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors modify the rainbow loss through an additional loss based on a crossstate similarity the notion of similarity is called in the paper crossstate selfconstraint cssc the cssc loss looks very simpl...	i thank the authors for their submission and participation in the author response period the updated experiments are appreciated however after discussion all reviewers unanimously agree that the paper is not ready for publication and encourage resubmission to another venue in particular r2 and r3 have raised concerns r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces capsule network for object detection to solve the issue of capsule network when applied to largescale detection problems this paper develops deformable capsules a new predict...	this work proposes capsule networks with deformable capsules for tackling object detection all reviewers agreed that object detection is an important problem that is interesting to the iclr community reviewers also agree that the proposed approach is novel and interesting and in particular they mention that proposing a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: problem there has been a plethora of work on image synthesis from a given layout of objects or label maps however it is not clear what has led to those results because there are no fixed backbone optimizati...	the paper received mixed reviews that overall lean negative the main concern shared by reviewers is the novelty of the findings although the paper presents a systematic study that certainly has value reviewers do not find sufficient insights from the analysis the acs agree with the reviewers that the paper is below t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the approximation and estimation errors of using neural networks nns to fit functions on infinitedimensional inputs that admit smoothness constraints the authors first prove upper bounds ...	this work studies the approximation and estimation errors of using neural networks nns to fit functions on infinitedimensional inputs that admit smoothness constraints by considering a certain notion of anisotropic smoothness the authors show that convolutional neural networks avoid the curse of dimensionality revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: theoretically the paper is both conceptually and formally descriptive combined with appendix details the authors present a very full picture of their work which is very much appreciated to the best of my ...	this clearly written paper has been constructively evaluated by three expert reviewers who provided at least two very detailed and informative summaries the authors have addressed the inquiries raised by the reviewers in a comprehensive fashion and at least one reviewer has updated their score as a result of those deta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overall this is a solid work with interesting ingredients the main contributions are mostly in terms of empirical results rather than a new search method strengths the paper is very wellwritten and easy t...	this is a wellwritten paper proposing a promising a series of zerocost proxies for nas overall the reviewers were convinced that the approach is sound and the results overall support the use of zerocost proxies although they are a bit weak in some cases eg rank correlations in a3 despite some concerns amongst the revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: unlike mainstream methods that involve intricate decoder structure this paper proposes to revive the plain framework of feature extractor linear classification head for fewshot segmentation fss concretely ...	this paper studies the plain segmentation framework feature extractor linear classification for fewshot segmentation it introduces a prompt based query and support interaction method to enable this framework to work well all the reviewers recognize the proposed method is novel and the performance is good though they h...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new metalearning method for solving the schrodingers equation using neural networks this method combines an existing neural wave function model called ferminet together with a gnn metag...	this paper builds on the success of the ferminet neural wave function framework by pairing it with a graph neural network which predicts the parameters of neural wave function from the geometry the resulting pesnet trains significantly faster with no loss of accuracy this method constitutes an important advance in mlpo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the claim that multichannel 3d unet was versatile for various image estimation tasks was proved with extensive experiments which was the main strength of the paper besides method description was informative...	both reviewers give a weak accept for this interesting work on multichannel reconstruction they do however mention missing comparisons to related work while space is limited we would strongly urge authors to include those into the github repository for improved impact
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims at defining a new architecture dynamic recurrent neural network that would be based on discrete differential equations of basic linear system transfer functions known from dynamic system i...	this paper proposes a new rnn architecture called dynamic rnn which is based on dynamic system identification reviewers questioned the expressivity of the proposed model practical applicationimpact of the proposed model and interpretability of the proposed model even though the authors attempted to convince the review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a conservative q learning approach based on density and uncertainty estimation dcql it argues it is a more effective regularization than previous conservative q learning approaches the p...	the authors introduce a modification to cql to use a weighting based on density estimates in an idealized setting they show that the estimate qvalues bound the true qvalues finally they evaluate their proposed approach on a few benchmark offline rl tasks generally all reviewers felt that the results were too increment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the diffusion models or score matchingbased models have achieved great success in generating high fidelity samples with diverse modes however the sampling requires tremendous iterations which hinders the pr...	the paper modifies dpms by replacing the denoising l2 losses with gans to learn the iterative denoising process this leads to excellent results using a small number of refinement steps in some sense this also takes away one of the key advantages of dpms over gans which is dpms minimize a welldefined objective function ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper looks into finding effects of reward shaping on emergent language learning with rl the work shows the difference via analyzing entropy and the behavior of the learned agent it draws similarities b...	all reviewers eventually agreed on rejection the highest scoring reviewer agreed their interpretation of the framing of the paper caused their initial highscore where as the other reviewers took a totally different view on the papers contribution the authors agreed that the text of the paper was not clear in this regar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to design natural interaction for secondary tasks where primary task requires bimanual interaction the goal is to make sure that the task performance of a complex primary task is not impa...	this paper has mixed reviews with r2 in favour of acceptance r1 against and r3 marginal but slightly against r3 provides some particularly good feedback about some improvements that can be made to the work however both r1 and r3 both focus their reviews on particular details and do not discuss their impact on the over...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a framework for the video instance segmentation task in order to avoid explicit instance association which is responsible for computation overhead increment the author designed both insta...	the paper discusses a method for online video instance segmentation reviewers appreciated the proposed method but raised concerns regarding difference of reported results to other papers method being similar to prior work and limited novelty the rebuttal addressed most of the concerns prompting reviewers to increase th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this data identifies a class of discretized optimal control problems for which a quadratic with respect to actions approximation to the problems qfunction is accurate and gives rise to nearoptimal policies ...	i am happy to recommend accepting this paper i would argue that the stated contribution of this paper an analysis of when naf is a good approximation is somewhat minor but the analysis in the paper has a nice additional benefit in that it becomes possible to include domainspecific knowledge eg on the reward functio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the majority of approaches for preventing posterior collapse in vaes equipped with powerful decoders to better model local structure involve either alteration of the elbo training objective or a restriction...	strengths the proposed method is relatively principled the paper also demonstrates a new ability training vaes with autoregressive decoders that have meaningful latents the paper is clear and easy to read weaknesses i wasnt entirely convinced by the causalanticausal formulation and its a bit unfortunate that the d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors and the team present airfrans highfidelity cfd datasets for the rans problems relevant dl baselines and benchmarks are also provided to demonstrate the effectiveness of the datasets particular probl...	this paper provides highfidelity datasets for computational fluid dynamics based on reynoldsaveragednavierstokes simulations over airfoils while it is possible for anyone to generate such a dataset doing so is expensive and hence having a reference dataset can be helpful for lowering the bar for entry for researchers t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: membership inference attacks are one way to break differential privacy by identifying whether a given instance belongs to the dataset of an accessible model trained on that data set or not neural nets and s...	this paper considers the problem of membership inference the authors propose to use the tools of random matrix theory in the asymptotic regime to analyze membership inference in the simple case of a linear model on gaussian data they start by deriving the explicit advantage of the attack in the asymptotic regime furthe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a learning approach to tackle classimbalance resulting in a good performance on frequent as well as infrequent classes the main idea is to use the recall performance of class to adaptivel...	this paper introduces the recall loss for dealing with imbalance training contexts the authors propose to perform a classwise weighting of examples based on the instantaneous recall performance during training the reviewers like the clarity of the presentation but raise several concerns regarding novelty of the appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a systematic evaluation of some random and adversarial attack heuristics to study the robustness of unsupervised node embedding methods while multiple attack heuristics are compared the ...	the pcs agree with the ac assessment we encourage the authors to improve their paper in the cameraready version by incorporating additional comments raised during the review phase
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a bayesian learning to optimize technique called uncertaintyaware learning to optimize ual2o the main contribution of this paper is its introduction of the concept of the space of optimi...	while the reviewers place this manuscript right at the threshold of acceptance i find the revisions that they have made to address the majority of the reviewers concerns that combined with some of the reviewers scores being slightly miscalibrated with their largely positive reaction to the author feedback i am advocati...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper discusses learning in biological networks and proposes a model that combines spiking networks local connections convolutions without weight sharing and rewardmodulated spiketiming dependent plasti...	this paper presents a locally connected spiking neural network model trained to do classification of mnist using spiketimingdependent plasticity stdp and rewardmodulated stdp the authors show that this model can learn to classify mnist images though not at a very high accuracy and that it can engage in classical condit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a novel learning setup cascade that tasks the agent to intervene on the initial conditions of the scene to achieve a counterfactual outcome given an observed scene the agent is p...	the reviewers agree the paper should be accepted at the workshop congratulations the authors are encouraged to take the points raised by reviewer nxtj into account when preparing the cameraready version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents findings on the need for explanations of av decisions the key insight is that passengers do not necessarily desire an explanation for every scenario explanations are strongly desired onl...	the paper is wellwritten and focus on a very important and interesting question for autonomous driving all the reviewers have positive attitudes towards the paper please consider the comments from the reviewers in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes rational inattention reinforcement learning rirl a multiagent reinforcement learning framework that incorporates the behavioral model of rational inattention building on the classical for...	the paper proposes a multiagent rl framework that make decisions in a more humanlike manner by incorporating rational inattention the approach is evaluated on two game theoretic problems the reviewers agree that the topic of the paper is interesting however there are concerns about the significance of the proposed appr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce two new algorithms remember and forget experience replay refer and an actorcritic architecture for continuousaction problems which is significantly more computationally efficient than ...	this paper introduces a novel idea and demonstrates its utility in several simulated domains the key parts of the algorithm are a to prefer keeping and using samples in the er buffer where the corresponding rhot using the current policy pit are not too big or small and b preventing the policy from changing too quickly ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies a contextual bandit setting with two unique features 1 the learning agent has ability to perform targeted interventions during the learning phase ability to select target subpopulations or...	this paper considers a new setting of contextual bandits where the learning agent has the ability to perform interventions on targeted subsets of the population the problem is motivated from software product experimentation but with more general applicability the paper provides a method under this setting with both emp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the backdoor defense even without a clean data set specifically after randomly shuffling the filters and comparing the changes in dnn output the authors find there is an obvious differen...	this work proposes a channel shuffling as a way to distinguish between backdoor and clean examples based on the hypothesis that trigger features are sparsely encoded and activated in only a few channels reviewers all agreed that is a pretty intuitive yet effective method and that it had solid evaluations after the rebu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a representation learning method to optimize individual data representation vectors as well as an mlp encoder so that the learned representation vectors can recover the features from mul...	the paper proposes a method to perform selfsupervised model ensembling by learning representations directly through gradient descent at inference the effectiveness is evaluated by knearest neighbors accuracy the reviewers agreed that the paper studies an important and interesting problem of leveraging model ensembling...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an extension of the neural sde model proposed by li et al aistats 2020httpsproceedingsmlrpressv108li20ihtml this more general model is obtained by replacing the brownian motion driving th...	ratings 48377 confidence 34424 there was no discussion among reviewers but there was a good amount of discussion between authors and reviewers note that there are 5 reviewers since the original reviews had low confidence summary this paper studies a variant of neural sdes that replace the standard brownian motion dri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: although i liked the exploratory part of the paper i must admit that i found myself confused a few times the results given in the paper suggest that the proposed hcgd does not demonstrate any advantages on ...	this paper proposes to regularize neural network in function space rather than in parameter space a proposal which makes sense and is also different than the natural gradient approach after discussion and considering the rebuttal all reviewers argue for acceptance the ac does agree that this direction of research is a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a method to preprocess the dataset so a machine learning classifier learned on the preprocessed data would be counterfactually fair strong points the studied fairness problem is very i...	the paper introduces an approach to counterfactual fairness based on data preprocessing and compare it to other two counterfactual fairness approaches on the adult and compas datasets the reviewers are in agreement that in its current state the paper should not be accepted for publication at the venue their main conce...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a single and multiple missing value imputation method for mixed data under the mcar missing completely at random assumption the method is based on using a latent gaussian distribution in...	the authors propose a single and multiple missing value imputation method for mixed data under the mcar missing completely at random assumption the method is based on using a latent gaussian distribution in the form of an ordinary gaussian copula model for ordered data ordinal and continuous and an extended gaussian co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes an interesting tweak of the standard gan model inspired by ipm based gans where both the generator and the discriminator optimize relative realness and fakeness of the real fake image pa...	all authors agree that the relativistic discriminator is an interesting idea and a useful proposal to improve the stability and sample quality of gans in earlier drafts there were some clarity issues and missing details but those have been fixed to the satisfaction of the reviewers both r1 and r3 expressed a desire for...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the offline multiagent rl setting first demonstrating that optimization is more likely to find bad local optima than in the single agent case to deal with this problem the authors propo...	this paper makes a key observation that the gradientbased method gets more likely to suffer from poor local optima in multiagent reinforcement learning marl with more agents particularly in the offline setting the paper proposes the use of zeroth order optimization method to avoid local optima specifically it samples...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 this paper presents a novel approach for training efficient binary networks with both binary weights and binary activations and verifies the capability of the proposed method on benchmark in addition rela...	the paper proposes a probabilistic training method for binary neural network with stochastic versions of batch normalization and max pooling the reviewers and ac note the following potential weaknesses 1 limited novelty and 2 preliminary experimental results ac thinks the proposed method has potential and is interest...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written and addresses an important problem dealing with individual fairness the problem is still relatively novel and there are only a few methods out there to ensure approximate metric fa...	meta review this paper proposes an active approximately metricfair amf learner that improves the sample efficiency from o1epsilon2 in the passive setting to olog 1epsilon in the acs opinion this is a huge improvement and offers a very compelling alternative to the passive solution this is acknowledged and highlighted b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies long time series forecasting by using segment correlation attention for this time series is segmented into periodical shorter sequences and attention is computed on each segment and final...	the paper proposes a transformerbased model called scformer to perform long sequence time series forecasting by computing efficient segment correlation attention the reviewers think the method lacks novelty and the experiments need a detailed ablation study
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses wasserstein gan in conditional modeling of the dialog response generation the main goal is to learn to use two network architecture to approximate the posterior distribution of the prior net...	this paper tackles the task of endtoend systems for dialogue generation and proposes a novel improved gan for dialogue modeling which adopts conditional wasserstein autoencoder to learn highlevel representations of responses in experiments the proposed approach is compared to several stateoftheart baselines on two dial...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an unbiased estimator that allows for training models with weak supervision on two unlabeled datasets with known class priors the theoretical properties of the estimator are discussed an...	this paper studies the task of learning a binary classifier from only unlabeled data they first provide a negative result ie they show it is impossible to learn an unbiased estimator from a set of unlabeled data then they provide an empirical risk minimization method which works when given two sets of unlabeled data as...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a framework called multitriggerkeymtk to achieve privacypreserving inference in multitask setting this paper is quite confusing in the way it describes its motivation and methods here a...	the paper discusses an approach for privacy preservation in the context of multitask classification all reviewers struggled to follow the paper and had fundamental questions about the motivation methods and technical contributions unfortunately there was no feedback from the authors to help support the submission
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies fully singleloop stochastic algorithms for bilevel optimization problems where the inner problem is strongly convex and the inner and outer objective are smooth and given by a finite sum i...	the main topic of this work is stochastic bilevel optimization it provides an efficient algorithm for this task and provides theoretical results in this setting the reviewers are unanimous that this is wellpresented work of high quality and should be accepted and so do i
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tries to identify the most salient parameters in a neural network and shows that when these parameters are modified the predictions change they also show that there is a relation between these par...	for this paper initially the reviews were 6855 all the reviewers have provided constructive and substantial feedback the authors have incorporated changes to address some of these comments and some of the comments could not be addressed the main criticism of the reviewers have been that the reviewer tkqp finds two clea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new conditional sampling approach by using denoising diffusion models ddpm as priors in which they explicitly model the auxiliary constraint eg pretrained classifiers etc in the revers...	ratings 5565 confidence 3323 discussion among reviewers no summary this paper proposes a framework for solving conditional image generation tasks through an optimization procedure where a pretrained diffusion model px is combined with a separate constraint cxy the method is applied to conditional image generation imag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper pinpoints the key issues of auxiliary learning 1 how to design useful auxiliary tasks 2 how to combine auxiliary tasks into a single coherent loss motived by the issues this paper proposes a nove...	the paper proposes a novel framework to develop useful auxiliary tasks and combine auxiliary tasks into a single coherent loss the idea is good and the experiments are sufficient to verify the arguments all the reviewers agree to accept the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the authors have created a challenging and diverse qa dataset containing 14343 examples 2 they have proposed a new gamification based framework for data creation and to ensure quality 3 they demonstrate t...	all the reviewers agree that the paper proposes an interesting benchmark along with a gamification and modelinthe loop based framework for question answering this framework seems to be effective for building more creative and challenging benchmarks therefore i recommend acceptance of this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper addresses gaussian process regression gpr over positive and negative data points such that the regression model fit the former and avoid the latter the negative data points in this work a...	this paper is very pleasant to read the reviewers also like the key idea discussed and find the targeted application interesting and practical however after reading the indeed interesting motivation all four reviewers expected to see more from the evaluation section including more challenging and realistic setups and c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the server model averaging step in fedavg to a more general adaptive optimization step on the global model specifically by writing the model averaging as a gradient descent step using a p...	the paper proposes adaptive optimization algorithms for federated learning that are federated versions of existing adaptive algorithms such as adam adagrad and yogi the paper establishes convergence guarantees for the proposed algorithms and performs an extensive experimental evaluation following the discussion the rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new gradientbased learning algorithm for recurrent neural networks making use of the directional derivative along a candidate direction the directional derivative serves the purpose of ...	this paper adapts a method called realtime recurrent learning for training recurrent neural networks the idea is to project the true gradient onto a subspace of desired dimensionality along a candidate direction there are a variety of possible candidates random directions backpropagation through time metalearning appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this work aims at proposing a new type of regularization based on the affinity of the samples in the training set which is used that allows to design more robust neural networks 3 ideas...	the paper received borderline and negative reviews but has raised many questions and discussions showing that the paper has some merit many concerns were however raised on various aspects of the paper such as mathematical rigor clarity and motivation of manifold regularization that is too disconnected from the robustne...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the presented architecture achieves performance comparable to other architectures present in the state of the art with a very low number of parameters and a shorter inference time the addition of a classi...	the work develops a method for tool segmentation in endoscopy videos with 2 primary goals make the method more efficient towards achieving realtime inference reduce false positives in particular in frames where tools arent visible strengths as nicely put by reviewer 56kf its applicationdriven focus and the dedication...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the capacities and limitations of returnconditioned supervised learning rcsl methods and illustrates their relationship to behavior cloning bc and dynamic programming dp the main conclusi...	this paper theoretically analyzes a new popular class of rl algorithms referred to as returnconditioned supervised learning rcsl the paper theoretically shows that this class of method requires stronger assumptions than standard dpbased approaches for learning the optimal policy the paper shows that rcsl method require...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper has a clear structure and wellwritten it is overall easy to follow the method is described with details and enables endtoend training and interpretability of prediction outcomes the details ...	reviewers were generally in consensus with all acceptance ratings while originally reviews had some concerns of lack of novelty and missing detailsexplanation for some points author response to these points generally satisified reviewers main strengths of the work include 1 extensive experiments 2 open source code 3 we...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new way to directly generate 3d molecular geometries from scratch they output the atoms one by one including the type of the atom and the related position from one chosen focal atom the...	this work introduces an autoregressive flow model that generates molecular geometries by placing one atom at the time in order to preserve the e3 invariance of the density successive atom locations are sampled relative to already placed atoms in a coordinate system described by distance angle and torsion the paper is ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a continuous setting of gcd called ccd where unlabeled data from novel and known categories appear in batches and they also propose a frameworkmethod to iteratively update representation no...	this paper proposes a method for continuous category discovery in novel category discovery tasks assuming a dynamic setting in which unlabeled data are continuously fed to the model for category discovery specifically it is a technique that balances the discovery of new categories with the merging of newly discovered i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary this paper combined two knowledge base completion models rotate and the query2box model to form the proposed model rotatebox model the proposed model is evaluated on a new task knowledge base ...	this paper present a method for performing regular expression queries containing disjunction and kleene plus over kgs a related dataset is also presented experimental evidence show effectiveness of the proposed method rotatebox good contribution worthy of acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a deep learning based digital contact tracing method to minimize the spread of covid19 the proposed method is based on locally processed information collected on the mobile app unlike ...	the reviewers unanimously agree that the paper is timely well motivated and correct with potential to significantly impact digital contact tracing
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide an environment to serve as a benchmark for reinforcement learning this falls under the domain openworld 3d environment this is a challenging environment for rl algorithms the observation...	all reviewers unanimously agreed this to be a high quality paper noting its strengths as a fast highly paramaterisable fullyfeatured procgen environment that is highly suited to research in a number of areas including curriculum learning skill acquisition and generalization the paper was praised for the strength of th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of word sense induction using knowledge of the large pretrained model bert the authors propose a twostage method to distill multiple word senses by using attention over the sen...	this paper investigates a technique for projecting contextual embeddings into static embeddings neither the technique is ver novel nor are the empirical results very strong while the reviewers did not engage in a discussion the area chair does not see this paper reaching the quality bar of the conference
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthis paper aims at providing a theoretical understanding of gnns specifically in terms of how the training set in theinput graph effects the performance of gnn on the testing set this paper studies ...	this paper analyses generalization ability of graph neural network from the aspect of the distance between the test data point and the training data point where the labels of a part of the vertexes are observed as the training data and a test data point is selected from the remaining vertexes the theoretical result ind...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new dataset for estimating robustness to distribution shift in particular corruption robustness they accomplish this by proposing an alternative to imagenetc imagenetnoc which uses dif...	the authors propose a new dataset namely imagenetnoc for evaluating robustness of image classifiers to corruptions the dataset may be viewed as an alternative to imagenetc which uses a different set of corruptions to derive this set of corruptions the authors first develop a notion of similarity between two corruptions...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this work authors propose a new direction in summarizing code snippets by combining their ast and lexical code features in the form of a graph called scg which is shown not to be optimal thei...	while there are some potentially interesting aspects to this work it doesnt acknowledge a significant amount of relevant literature and there are some unsupported claims all reviewers believe the paper is not ready for acceptance reviewers provided some good thorough reviews and suggestions but the authors did not choo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose neural channel expansion nce a neural architecture search nas and quantization method existing nasq methods typically search for the architecture of the dnn along with the precision at e...	this paper suggests a nas approach for quantization which focuses on expanding the number of channels in problematic layers given some uniform quantization level for all the layers the reviewers were initially all negative but the authors added more experiments and the scores changed to borderline 665 i think that thou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed vice a way to learn interpretable embeddings that mimic that of a human the paper is different from its main baseline spose by using variational inference with a spike and slab gaussian p...	this paper proposes a method to learn meaningful representations of data by incorporating a pickoddoneout task on triplets of images to learn embeddings through variational inference using a spikeandslab gaussian prior the reviewers agreed that the paper was well written had a clear narrative that the results appeare...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors clearly state the claims and design the corresponding experiments in order to perform the experiments in lowcomputationresources situations they reimplement the code to use a smaller model and d...	the paper presents a strong reproducibility effort not only the author reimplented the code in publicly available google colab but the author opted for a different model family and a different dataset which is more amenable to training with free google colab resources the fact the paper found most of the results in li...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work introduces a method to accelerate the training speed of deep learning models the key idea is to start training with shared weights and unroll the shared weights in the middle of the training the a...	the paper proposed a new way for training models that stack the same basic block for multiple times share the weights first and then untie the weights ablation study shows that the proposed algorithm has marginal improvement over the baseline the authors also provide some theoretical justifications to how the propose...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper addresses the problem of crossdomain object detection the formed source domain detectors in the form of faster rcnn learned in a supervised manner are adopted to perform well on the target domain wher...	this paper decouples the adversarial training of a domain adaptation model with the detector learning process and is able to disentangle the features of foreground and background when performing adaptation state of the art results on four different domainstasks are presented with significant improvement reviewers are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the author considers the model collaboration problem specifically ensemble learning the author identifies two issues of ensemble learning significant runtime cost and high memory access cost t...	this paper trains an expert style dnn that routes input examples to appropriate expert modules resulting in high accuracy on imagenet with less compute reviewers have been positive about the strong empirical results however the paper itself is not written well and reviewers had hard time figuring out actual architectur...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the neural turing machine and related external memory models have demonstrated an ability to learn algorithmic solutions by utilizing differentiable analogues of conventional memory structures in particular...	the paper presents a liegroup access neural turing machine lantm architecture and demonstrates its utility on several problems pros reviewers agree that this is an interesting and clearlypresented idea overall the paper is clearly written and presents original ideas it is likely to inspire further work into more...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes replacing each linear layer with a linear ensemble average of m m1 linear layers authors argue that this helps to reduce network internal variance and achieve better accuracy i think it...	the paper proposes inner ensemble method where output of inner layers are replaced by an ensemble average of them during inference time to reduce inference time and reduce variance the authors include experiment results showing performance improvement of their method and use the theoretical analysis of the dropout and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary neural network quantization is can enable many practical applications for deep learning therefore it is an important research problem the paper claims two contributions 1 injecting noise during trai...	this paper addresses an important problem quantizing deep neural network models to reduce the cost of implementing them on hardware such as fpgas without severely affecting task performance the approach explored in the paper combines three ideas 1 injecting noise into the network to simulate the effects of quantization...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is an interesting paper that i expect will generate some interest within the iclr community and from deep learning researchers in general the definition of stability is both intuitive and sound and the...	the paper presents both theoretical analysis based upon lambdastability and experimental evidence on stability of recurrent neural networks the results are convincing but is concerns with a restricted definition of stability even with this restriction acceptance is recommended
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the current paper argues that benefits of batchnorm in regards to generalization have been underdiscussed and tries to develop a novel analysis for the same to this end the authors prove that under weight d...	this papers demonstrates how normalization with weight decay forces gd to converge to flater solutions overall the reviewers find that the paper does bring some new insights perhaps with a limited impact but still valuable to the community there were also a few concerns left after the discussion period eg dicussion o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the tradeoffs between samples ie number of armpulls and space ie maximum number of arms kept in memory in the pure exploration stochastic multiarmed bandit problem the objective in thei...	this paper studies the pure exploration in the streaming mab model the main message it delivers is that any single pass streaming algorithm must either have a large sample complexity or store a linear number of arms the reviewers agreed that the results are interesting and that the analysis in the paper is novel and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a dataset to evaluate question answering qa systems for social biases specifically the authors construct a set of vignettes related to pain management the system must then determine whe...	this paper presents a new dataset for evaluating medical qa systems specifically for pain management decisions for social biases following a counterfactual analysis framework the authors provide templates where patient names are replaced with names commonly associated with different racial and gender groups they evalua...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study adversarially trained classifiers and observe that the accuracy discrepancy between classes is larger than that of standard models they then propose a theoretical model where this phenomen...	this paper examines adversarially trained robust models and finds that accuracy disparity is higher than for standard models the authors introduce a method they call fair robust learning using lagrange multipliers to minimize overall robust error while constraining the accuracy discrepancy between classes in discuss...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes sgd for relu networks the authors focuses on positive scale invariance of relu which can not be incorporated by naive sgd to overcome this issue a positively scaleinvariant space is first...	this paper proposes a new optimization method for relu networks that optimizes in a scaleinvariant vector space in the hopes of facilitating learning the proposed method is novel and is validated by some experiments on cifar10 and cifar100 the reviewers find the analysis of the invariance group informative but have rai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a visual hardattention image classification model the difference to standard classification methods such as cnn is that the model provides an explainable inner structure by default that ...	this paper proposes a new hard attention model for the image classification as a way to achieve explainability two of the reviewers do not find the output of the system interpretable which is a fatal weakness for a paper on xai r1 the visualization in fig5 shows only that the region selected in each timestep indeed has...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes infots a method for learning augmentations that improve contrastive learning of time series data the core contribution is a learnable augmentation strategy that uses concretegumbelsoftma...	this paper presents a method which selects feasible data augmentations suitable for contrastive time series representation learning the topic in this paper is timely and interesting one of 4 reviewers did not complete the review not responding to a few reminders so one emergency reviewer who is an expert in metalearnin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes the threedworld platform for interactive multimodal physical simulation which allows users to simulate sensory data and mechanical interactions between robot agents and objects in a vari...	the proposed platform for interactive multimodal physical simulation shows to be very useful and flexible it provides a large set of features and experiments can be performed in several domains of interest for the neurips community all reviewers have a positive opinion regarding the contribution and the discussion peri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the proposed method utilizes the mri images from a 7t scanner which physically enables more detailed information on small vessels 2 the proposed method achieves encouraging results compared to traditional...	strong contribution with promise for clinical impact some minor points should be improved as outlined by reviews otherwise the paper can be accepted for midl
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this article presents yoso an locality sensitive sampling based attention mechanism for large scale language modeling strength a new idea of applying locality sensitive sampling to approximate attentio...	the paper presents an interesting idea for making selfattention efficient several reviewers were not satisfied with the experiments because it did not include runtime and sought after benchmarks rebuttal did a good job of clarifying a few of those with newly added experiments that make the paper stronger however the n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work attacks the important problem of learning pdes with neural networks to this extent it proposes a neural network architecture where in essence the linearity is not applied in the fourier space but ...	pros provides a practical technique which can dramatically speed up pde solving this is an important and widely applicable contribution paper is simultaneously clearly written and mathematically sophisticated the experimental results as impressive cons there were concerns that the paper lacks novelty compared to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a new constraint for constrained mdp based on kshortest path which helps improve sample efficiency for modelfree rl algorithms in sparsereward mdp while theoretically proving tha...	this work proposes a shortest path constraint for the reinforcement learning algorithm to improve efficiency in sparsereward scenarios the experiments are shown in navigation tasks in firstperson maze and grid world reviewers found the idea interesting and the paper wellwritten but none of them championed the paper for...

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