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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents sample efficient algorithms for learning in twoplayer zerosum markov games the algorithms are for decoupled and coordinated settings the latter of which is based on alternate optimism th...	summary the paper discusses markov games with general function approximation and investigates in particular reinforcement learning algorithms that learn a nash policy in a trialanderror fashion they consider two settings the decoupled one where the player does not observe the opponents policy and the coordinated one wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed latent optimistic value exploration love as a mechanism to leverage optimistic exploration for continuous visual control the main idea is to use a small 5 ensemble of latent models with...	the submission is acknowledged as having potential value in terms of proposing a new approach for exploration based on ensembles and value functions however there are lingering concerns about the discussion of what this paper brings to the table visavis prior work together with a lack of clear demonstration of the expl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to improve image translation for the task of plague segmentation by building an approach which can preserve small subtle structures as well as global and intermediate structures the approach...	i agree with the reviewers that the paper is quite densely written it is difficult to understand the details and what exactly the contribution of this work is but i like that the paper presents image synthesis which is evaluated with a clinically relevant application this is an interesting approach for detection of art...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a clean subspace variational autoencoder clsvae model for systematic outlier detection building on vae for latent variable modelling the paper proposes a semisupervised learning to infer ...	this is a borderline paper with 2 marginally above and a marginally below acceptance recommendations while the authors provided valid responses to some of the criticism i still find some of the motivation and assumptions not sufficiently clear theoretical and practical issues are mixed and the validation on only synthe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the effectiveness of using the restricted computational model class of lowdegree polynomials for assessing statisticalcomputation gaps for highdimensional statistical inference problems ...	this paper studies using lowdegree polynomials for analyzing statisticalcomputational gaps for highdimensional inference problems and identify averagecase settings that exhibit this gap this is a nice paper and above the bar though it perhaps appeal to only a theoretical audience
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper deals with diffusion models for inverse problems an important drawback of this approach is that to produce satisfactory results it is necessary to iterate the forward and the reverse diffusions s...	this paper proposes to incorporate manifold constraints in diffusion model for inverse problems the general consensus after rebuttal is that this submission is worthy of acceptance to neurips please incorporate the remaining reviewers feedback for the cameraready version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes nndriven model for designing novel traffic engineering techniques automatically this paper proposes nndriven model for designing novel traffic engineering techniques automatically this ...	most of the reviewers thought this paper has issues where it could be improved there was a range of concerns most importantly several reviewers felt the novelty in the paper was unclear as well as the requirement for more details in the experimental evaluations
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work introduces a new irl framework soloirl that learns a reward function using only expert trajectories this has the benefit of being trained in an offline manner which speeds up the training process ...	this paper studies the problem of inverse reinforcement learning by relying on only demonstrations and no interaction like imitation learning the reviewers liked the premise but had major concerns with evaluation and baselines the paper initially received reviews tending to reject one of the questions was about missing...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors use domain invariant categorical semantics to improve unsupervised domain translation udt they learn these semantics in an unsupervised manner they show how this can improve results on s...	this paper studies the problem of unsupervised domain translation here translation does not refer to language translation instead it refers to the idea of transferring highlevel semantic features specifically the authors look at digit style transfer between mnistpostal address numbers and svhnstreet view house numbers ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a novel approach to tackle the problem of unconstrained joint error in previous unsupervised domain adaptation theory it builds up a new upper bound that under certain circumstances redu...	this submission provides a new bound and derived method for unsupervised domain adaptation based on adversarial training the method is then extensively evaluated empirically pro the proposed method seems empirically successful con i agree with one of the reviewers that the presented theoretical justification is no...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work tries to produce robust decision stump ensembles against feature perturbation to achieve this the authors propose derandomized smoothing drs which can help provide a robust certificate moreover th...	there were substantial discussions around this paper and its contributions the authors did a good job of explaining and interacting with reviewers with as a consequence a substantial raise of scores to prepare the cameraready version it is strongly suggested to include the material introduced at discussion time includi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors consider solving three ml security related challenges that would primarily arise in the cloud based ml model namely they consider the setting where a client wishes to obtain predic...	the authors propose a new method of securely evaluating neural networks the reviewers were unanimous in their vote to accept the paper is very well written the idea is relatively simple and so it is likely that this would make a nice presentation
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: primary strength the primary strength of the paper is the creation of a single api to access chest xray datasets along with relevant baselines pretrained models and standard data tools that make the resear...	the paper is a good contribution to the medical imaging community since it describes in detail about the use of the torchxrayvision library although not strictly a paper contributing novel methods this is definitely a good piece of work in a very applied field such as medical image analysis with the exception of one re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in binary image classification setting the paper shows that when using an attack set augmenting the training set with additional intentionally mislabeled datapoints to vary the generalization performance of...	this paper proposes the use of bayesian prior upon initialization for predicting generalization performance of a neural network and empirically shows that it can outperform flatnessbased measures understanding the underlying reasons that control generalization performance on neural networks is of great theoretical and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the recovery of mixed multinomial logits using frankwolfe algorithms the authors proved that the proposed algorithm ssrfw converges to the true parameter of each individual mixture model ...	this paper proposes frankwolfe method for learning mixture of multinomial logit models the algorithms is novel and the first of its kind to be applied to this problem this is an important addition to the widely studied topic of preference learning and this result extends the capability of what can be efficiently learne...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a distributionally robust optimization dro framework for structured prediction over trees where the ambiguity set is given by a maximum feature moment difference to the empirical distrib...	this paper presents theoretical results for structured prediction over trees and empirical results on three syntactic dependency parsing datasets all reviewers agree that the paper is well written and novel the empirical gains are not huge but the comparisons are done in a thorough and fair way all reviewers suggest ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces an approach for masked language modeling where they mask wordpieces together which have high pmi the idea is relatively simple has potential for high impact through broad adoption and ...	this paper describes a new and experimentally useful way to propose masked spans for mlm pretraining by masking spans of text that cooccur more often than would be expected given their components ie that are statistically likely to be noncompositional phrases the authors should make some attempt to connect their pmi ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a hierarchical multiagent reinforcement learning method for the restricted communication setting and verifies the algorithm performance in a number of useful applications the hierarchical...	although there was some initial disagreement on this paper the majority of reviewers agree that this work is not ready for publication and can be improved in various manners after the discussion phase there is also serious concern that the experiments need more work statistically to verify if they hold up more comparis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an agent that combines causal discovery and hierarchical reinforcement learning hrl combined into causalitydriven hrl or cdhrl the environment variables which form the basis for the nodes...	after a strong rebuttal from the authors and an extensive discussion among the reviewers i believe the papers pros outweigh its cons and this paper will be a valuable contribution to neurips i recommend it for acceptance and encourage the authors to address the reviewers comments for the cameraready version of the pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a backdoor defense based on the observation that trojan and benign neurons exhibit different behavior in the victim model their defense assumes an attacker who can poison a subset of the ...	this paper introduces a new algorithm to mitigate backdoors in neural network models the reviewers agreed this paper proposes an interesting defense that is well motivated carefully evaluated with many ablation studies and highly effective the weaknesses raised have also been mitigated in the rebuttal period and the pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main contribution of this paper is a sampleefficient rl approach for learning policies for longhorizon tasks by making use of multiple levels of abstraction each of which is associated with a set of opt...	the strength and weakness of the paper raised by reviewers are summarized as follows strength the motivation and ideas are clearly presented the approach is evaluated on complex continuous control domains such as fetchandstack and g football tasks and the benefits of the proposed approach is apprppriately demonstrate...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript focuses on a trending topic of applying a bidirectional encoder representations from transformers bertbased prediction model to a new domain more precisely it addresses classifying electronic...	the authors propose an approach for the task of categorizing competencies in terms of worker skillsets this is a potentially useful if somewhat niche task and one strength here is a resource to support further research on the topic however the contribution here is limited the methods considered are not new and while th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work introduces memup a training method that allows to learn longterm dependencies without backpropagating gradients through the entire sequence unlike rnns the method is based on maximizing mutual info...	the reviewers found the ideas presented in the paper interesting the use of mutual information to train memory for a model and the clear presentation some questions were raised about demonstrating on a more elaborate set up such as nlp tasks the main experiments aside from the toy experiments of copy etc algorithmic ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary proposes an importance sampling approach to sampling failure cases for rl algorithms the proposal distribution is based on a function learned via a neural network on failures that occur during agent...	strengths the paper addresses a timely topic and reviewers generally agreed that the approach is reasonable and the experiments are convincing reviewers raised a number of specific concerns which could be addressed in a revised version or future work described below weaknesses some reviewers were concerned the ba...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main strength of this paper is the introduction of an algorithm that achieves stateoftheart performance for causal dag learning with few nodes described by a pnl model moreover the algorithm is able to ...	meta review the paper proposes a ges algorithm with a local measure of conditional dependence instead of a global score commonly used previously pros local instead of global is potentially impactful the major benefit is that they can handle complex nonlinear relationships the method is justified by theoretical re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce caesar an embodied simulator for generating multimodal referring expression datasets the generated referring expressions can include both verbal utterances and nonverbal gestures point...	all the reviewers appreciated the effort and rigour that went into the design of the proposed idea the presentation of the paper clearly shows the embedding of the work within the state of the art it is particularly appreciated that this work is likely to lead to a break through in the analysis of nonverbal referring e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a framework for recourse ie counterfactual explanations that is robust to shifts in the model they formulate the robustified recourse setup as a minmax optimization problem where the max ...	the paper provides a framework for recourse ie counterfactual explanations that is robust to model shifts the setup for the proposed method is a minmax optimization problem where the max is over a neighborhood around the distribution over model parameters the model parameters are drawn from a mixture of k distributions...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the goal of this paper is to train deep rl agents that perform well both in the presence and absence of adversarial attacks at training and test time to achieve this this paper proposes using policy distill...	reviewers had several concerns about the paper primary among them being limited novelty of the approach the reviewers have offered suggestions for improving the work which we encourage the authors to read and consider
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a debiasing method in the learning to rank l2r regime they advance the hypothesis that contemporary debiasing methods are lacking since they assume a click model where the effect of the ...	the paper studies the unbiased learning to rank problem and introduces new assumptions and techniques to learn good ranking policies from biased data the key insight is to use smoothness assumptions to decouple the effect of observation from relevance the reviewers appreciated this novel attack on a significant problem...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to tune the number of models in a boosting ensemble in an instancewise fashion the idea is to first cluster the samples using a decision tree and then to tune the size of the ensemble in...	while the reviewers agree that the paper contains interesting ideas and the method is elegant it unfortunately does not meet the bar for acceptance i strongly encourage the authors to revise their paper in particular using the numerous comments made throughout the discussion phase for example it is important that 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 maintaining a good revenue in a shrinking market for combinatorial auctions of n bidders and m items the shrinking market is modeled as follows every bidder n participates ...	the reviews are all positive the reviewers agree that the paper studies a fundamental problem with nice insights and interesting techniques and the paper is wellwritten
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses vqvae for learning discrete latent variables and its application to nmt with a nonautoregressive decoder to reduce latency obtained by producing a number of latent variables that is muc...	strengths wellwritten strong results for nonautoregressive nmt a novel soft em version of vqvae weaknesses as pointed out by reviewers the improvements are mostly not due to the vqvae modification rather due to orthogonal and not interesting changes eg knowledge distillation if there is a genuine contribution ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new problem called learning with evolving class ontology leco where the objective is to learn finer classes over time the authors have shown that labeling new data with finegrained a...	the setting of evolving and refining classes over time is certainly a practical one in domains such as text classification this paper offers some insights on questions like whether the entire data should be relabeled or can one achieve near optimal performance by labeling only the new chunk the paper concludes that joi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles weaklysupervised audiovisual video parsing and proposes a multimodal grouping network to explicitly group classaware matching semantics with classaware unimodal grouping module and modali...	the authors propose an approach for weakly supervised audiovisual parsing of videos they propose using learnable categorical embedding to do classaware unimodal grouping combined with crossmodal grouping to timestamp audio visual and audiovisual events using only video level labels based on the feedback provided by th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strengths the problem formulation is clean and clearly explained the method presentation is well written the techniques in used in the optimization steps after the relaxation step are well motivated we...	this paper proposes a method to solve regression without correspondence the problem is wellmotivated and the proposed method is technically sound the motivation organization and presentation of the paper are very clear reviewers suggestions to further improve the paper eg clarifications on initialization comparison a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a method for understanding if a relation is direct entailment of another one the authors have used the relation already exists in a wellknown dataset wikidata i liked the tricks they h...	the paper introduces a method for entailment prediction between relations in a knowledge graph using the wikidata dataset they used a few tricks to construct the dataset relation sampling relation expansion etc overall the reviewers agree that this paper deserve publication however several aspects in the presentation ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on the problem of extracting or reconstructing mesh surface from raw point cloud the key idea is to learn an unsigned distance function to progressively get to the real surface the unsign...	all reviewers were clearly in favor of accepting the paper prerebuttal there was limited discussion postrebuttal the ac examined the paper the reviews and the authors response and is inclined to accept the paper the ac encourages the authors to use their extra page to incorporate their responses to the reviewers into t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in graph neural networks convolutional layers operate by aggregating information about local neighborhood structures this paper extends to hypoelliptic diffusions and the derived tensor valued graph operato...	this paper proposes a new principled graph learning method to aggregate information local neighborhood the proposed method essentially aggregates information from random walk but not only wrt end points but also wrt the paths all reviewers agree that the idea is novel and the idea is well founded valid questions regard...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new training method named increasing margin adversarial ima training to improve dnn robustness against adversarial noises the ima method increases the margins of training samples by mo...	the paper proposes a marginbased adversarial training procedure the paper is lacking in terms of proper dicussion of related literature eg similarity and differences to mma the theoretical discussion on page 5 is incomplete as there is no way how one can estimate the perturbed samples to do the analysis the authors see...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a multihop communication method for multiagent reinforcement learning this method is based on the loosely coupled reward structures among agents which as far as i am concerned are general...	the paper describes a framework for multiagent reinforcement learning that uses markov random fields unfortunately the paper is not clearly written and would benefit from significant revisions that improve its structure and make the model and approximations more explicit in particular the paper says a graph says which...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new method for calculating distributions over states in markov problems in which the true state is not directly observable the method relies on using an existing model and then fine tu...	the paper proposes to fine tune the belief states of a mdp for later using the learned model for decisiontime planning eg via search the contribution is wellpresented motivated and focused to a specific scenario which is generally considered challenging in the literature this scenario is exemplified by the cooperative ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview in this paper the authors augment the instancelevel selfsupervised learning with clusteraware learning mechanism during the training procedure specifically for each training batch the authors proj...	the idea of combining instancelevel contrastive loss and deep clustering is a promising direction in recent unsupervisedselfsupervised visual representation learning studies however authors did a poor literature review and did not cite and compare with quite a few recent popular work exploring the similar direction the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presented a method for learning an animatable 3daware generative model for face images the method is built on top of the 3daware generative model gram and introduces 3dmmguided imitation learning...	the paper addresses an interesting topic and advances the state of the art the authors have responded sufficiently to the criticisms of the reviewers including the one reviewer that was recommending rejection the authors are encouraged to incorporate the clarifications and additional results in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a twostream model including the raw videos and the keypoint sequences for sign language recognition and sign language translation the twostream model also utilize a variety of techniques...	this paper extends models for sign language recognition and translation with a dual encoder where first keypoint sequences are estimated using an offtheshelf model then fused with the video sequence it is a minor technical contribution to add the keypoint estimations as input since no new information was introduced how...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a theoretical framework to understand the relationship between data sourcedownstream tasks and reward functions some clarification questions 1 at the end of page 3 you mentioned the ma...	the paper formally studies the problem of partial identifiability when inferring a reward function from a given data source eg expert demonstrations or trajectory preferences to formally characterize this ambiguity in a data source the paper proposes considering the infinitelimit data regime which bounds the reward inf...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces decstr which is an agent having a highlevel representation of spatial relations between objects decstr is a learning architecture that discovers and masters all reachable configuration...	this paper presents a new approach to grounding languagebased rl tasks via an intermediate semantic representation in an architecture called languagegoalbehavior lgb the architecture permits learning a mapping from internal goals to behavior gb separately from learning a mapping from language to internal goals lg and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: robust methods for equation discovery respecting physics are of utmost importance for the application of datadriven methods in science en engineering the present contribution proposes a new framework based ...	the topic and ambition of this paper has been judged as important by all reviewers yet there is a consensus that the theoretical and experimental contribution is not strong enough to effectively argue for an important novel lead which would justify publication at iclr for these rejections this paper cannot be endorsed ...
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 sceneaware pose estimation framework based on the concept of embodiment different from previous work with multistage optimization noncausal inference and complex contact ...	the submission initially received mixed reviews after rebuttal all reviewers felt their concerns reasonably addressed and recommended acceptance though one didnt update the score the ac agrees the authors are encouraged to revise the paper accordingly
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: edit satisfied by the rebuttal and the proposed modifications by the authors i decided to increase my grade by 1 point the paper studies multipletry metropolis for discrete state spaces a variant of mh whe...	based on the reviews and discussions we are happy to recommend acceptance please make sure that all comments in the discussion threads are taken into account in the final version of the manuscript
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a recoursenet which learns to instancedependently recourse to environments so that the learner gets better samples at training time and the predictor is well informed which instance to r...	the paper proposes a recourse approach that recommends how to improve performance on instances by modifying their environment the paper is well motivated and provides a novel approach that is empirically demonstrated to be useful though the empirical evaluation is limited reviewers agree that this paper addresses an im...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the application of the nonlinear markov chain monte carlo mcmc method to problems in bayesian inference the key idea of the method is instead of using a single kernel a mixture of two k...	the contribution of this submission is strong an analysis of convergence of nonlinear mcmc methods most reviewers agree that the submission is theoretically interesting and of interest to the neurips community thus i recommend acceptance however i note and share with some reviewers the following concern the empirical...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper focuses on detecting individual unfairness in supervised learning the main contributions are 1 a method to generate adversarial examples that is the examples that are very close to the original ...	this paper studies how to statistically test if a given model violates the constraint of individual fairness this is an interesting and novel problem and the paper leverages the technique of gradient flow to identify a witness pair for individual fairness violation during the rebuttal the authors have addressed many c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is well written and investigates dialogue summarization that has not received much attention it proposes a new model called cordial which can generate a summary draft followed by a final summary ...	the paper proposes a method for the interesting task of dialog summarisation which is slowly getting attention from the research community in particular they propose a method which first generates a summary draft and then a final draft pros 1 the paper is well written 2 addresses an interesting problem 3 sota results ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a new method for blind image denoising using a gan2gan network different from previous work noise2noise the proposed method only needs single noisy images to train the network without n...	summary of discussion three reviewers rated the paper good 7 while reviewer2 disagreed r2s criticism was focussed on how this work is placed within existingrelated literature and no technical problem was identified the authors have addressed some of r2s commentsconcerns r2 has not participated in the discussion novelt...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the explanation of the proposed confidence u is significantly deficient further statements to the calculation process theory and function are expected please provide more details 2 what the point of the o...	this paper received moderately good reviews 3 positives 6 6 7 and 1 negative 5 the reviewers are generally positive about the main idea but identified several limitations performance improvement is marginal compared to existing approaches the proposed method incurs higher computational complexity and the presentation i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper develops an autoencoder to solve the inverse problem of converting incoming visual stimuli into electrical stimulation patterns such that the responses evoked by the electrical stimulation mimics...	this paper formulates the problem of learning how to stimulate a visual neuroprosthesis as a hybrid autoencoder while the decoder can be taken as a known and fixed model that describes how stimuli produce percepts the encoder needs to be learned once learned the encoder maps target percepts into stimuli that can be p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the nonconvex outerobjective and strongly convex innerobjective bilevel optimization problem through the lens of bregmen distance the paper covers the deterministic optimizaton and stochas...	the paper studies bilevel optimization problems provides three algorithms for different settings and improves the convergence analysis in terms of the condition number in addition numerical experiments are conducted that provide illustration of the effectiveness of the algorithms three reviewers all agree that the pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces the labour inspection checklists dataset consists of 63634 instances where each instance is an inspection conducted by the norwegian labour inspection authority 575 features are provid...	the paper proposes a dataset on labor inspections where a set of curated features are used to predict inspection checklists and violations the perspective is unique and fresh to the machine learning community and the underlying goal of safe working environment is relevant to everyone the reviewers mostly agree with thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents one quantize for all framework the framework claims to search for the network and the quantization without the need for retraining results are promising although it is not clear to me ...	this paper proposed a method to train quantized supernets which can be directly deployed without retraining a main concern is that there is limited novelty the proposed method looks like a combination of wellknown techniques experimental results are promising however it is not clear if the comparisons are fair and if a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new paradigm for defending against adversarial attacks with multiple submodels different from ensemble the proposed collaboration paradigm a representative submodel is chosen to make t...	the paper proposes a novel ensemble method cda2 in which base models collaborate to defend against adversarial attacks to do so the base models have two heads the label head for predicting the label and the posterior probability density ppd head that is trained by minimizing binary cross entropy between it and the tru...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: fedglomo is communicationefficient that integrates variancereduction both at the server and at local client updates it also has a good iteration complexity than prior works on nonconvex functions with compr...	meta review the authors have addressed the reviewers concerns all the reviewers are not against the publication of the paper please add the discussion with the reviewer into the final version especially the discussion on assumption 4 the authors should also add the new empirical results too
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses federated machine learning for predictive maintenance on optical networks federated learning provides a number of advantages including security privacy and accuracy the accuracy claims are m...	the paper presents an optimization technique for optical networks based on federated learning the motivation for using federated learning stems from the privacy of datasets arising from different operators the performance of the method is compared to the one based on centralized learning despite demonstrating an intere...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work proposed an approach to introduce locality into the mlpbased architecture by using a shifting operation along vertical and horizontal directions strengths the work shows good results on different ...	the paper proposes a mlpbased architecture that makes extensive use of the shift operation on the feature maps the model performs well on several vision tasks and datasets the reviews are mixed even after the authors response main pros are that the proposed architecture is elegant and reasonable and the experimental e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper points out an interesting and important issue of gnns ie local aggregation is harmful for some disassortative graphs it further proposes nonlocal gnns by first sorting the nodes followed by aggre...	this paper is right at the borderline the reviewers agree it is well written proposing a simple but interesting idea however there was a feeling among the reviewers especially reviewer 1 that the paper could be strengthened considerably with a better discussionsome theory on the sufficiency of the calibration vectors a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in the present paper the author intends to get further insights into the physics behind earthquake ruptures using a bnn to model simulated data from the literature by using a bnn the parameters of ...	the paper considers an interesting application of bayesian neural nets to the geophysics domain however the paper does not make a novel contribution from the machine learning perspective and the improvements on top of the previously proposed approach by ahamed daub 2019 seem to be quite modest overall the paper does ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the effective metrics for evaluating recent works on novel view synthesis from monocular videos the proposed effective multiview factors emf measures multiview signals in the evaluation o...	prerebuttal this paper had mixed reviews postrebuttal the paper had two strong supporters a6gt and vdbh who argued that the paper provides valuable insights into an important field as well as a supporter dlu6 who commented in the discussion below that they are in favor of the paper although did not update their review ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the problem of offline imitation learning in the presence of suboptimal datasets in the presence of suboptimal data classical baselines like behavior cloning suffer performance hits the...	the authors introduce a method for offline imitation learning in the presence of optimal and nonoptimal data in particular they propose to learn a discriminator that can be then further used to modify the behavior cloning loss which leads to performance improvements over baselines the reviews mention that the idea is n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an application of sharpnessaware minimization sam to training of visual transformers vit and mlpmixer the idea of the paper is that models with weaker inductive priors transformers and ml...	description the paper demonstrates that efficient architectures such as transformers and mlpmixers which do not utilize translational equivariance in the design when regularized with sam sharpness aware minimization can achieve same or better performance as convolutional networks in the vision problems where the conv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles approximate inference for hierarchical bayesian models with fully nested structure the specific approach taken is variational inference with a qdistribution that iteratively applies condit...	the paper provides a unique contribution to the scalability of bayesian inference to pyramidal bayesian models with application to neuroimaging the major point of concern by the reviewers is around how close is the inference approach to the more classical meanfield vi however in my opinion the authors have addressed th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper deals with an interesting problem the presentation is clear the the approach intuitive however the reviewer has some concerns about the pertinence of the approach and the relationship with relate...	this work propose a method for learning a kolmogorov model which is a binary random variable model that is very similar or identical to a matrix factorization model the work proposes an alternative optimization approach that is again similar to matrix factorization approaches unfortunately no discussion or experiment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: clarity the motivations of learning representations for time dependent proximity graphs generated from contact tracing are well explained the learning of two disentangled representations to capture topolog...	the paper is concerned with learning representations for timevarying graphs which is an important problem that is relevant to the iclr community for this purpose the authors propose a new method to extend skipgram with negative sampling to higherorder tensors with the goal to perform an implicit tensor factorization of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the binary classification problem with exponential loss and relu activation function single neuron the authors characterize the asymptotic loss landscape by three different types of cri...	the reviewers and ac note the following potential weaknesses 1 the proof techniques largley follow from previous work on linear models 2 its not clear how signficant it is to analyze a oneneuron relu model for linearly separable data
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper identifies two atomic problems respectively in fields of ml mnist classification and quantum mechanics measuring a single photon and brings them together in a simplified setup that uses a single p...	this is an unusual but interesting submission can we use a simple quantum computer in fact physical system to solve classification problems in ml a single photon passes through the screen its state is described by the complex vector a quantum computer makes a unitary linear transformation on this state in such a way th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method for adversarial attacks on object detectors by exploiting relevance maps that are originally intended for model interpretation unlike most of the existing methods that attack de...	this paper proposes a transferable adversarial attack method for object detection by using the relevance map four reviewers provided detailed reviews 2 of them rated ok but not good enough rejection 1 rated marginally below and 1 rated marginally above while reviewers consider the paper well written and using relevanc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors present a method for expanding taxonomies with synonyms or aliases the proposed method has two stages 1 generate synonym candidates from wordnet and then 2 use a binary classifier to filter the cand...	the work provides an interesting and yet rather straightforward approach to synonym expansion that relies on a combination of user queries and existing background knowledge in terms of wordnet the evaluation shows good results for an interesting domain in practice it would be great if the crowd sourced data would be re...
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 new optimization method for continual learning the authors propose a taskaware optimizer to adapt the learning rate for each task the proposed method is evaluated on seve...	the authors develop a memorybased method for continual learning that stores gradient information from past tasks this memory is then used by a proposed taskaware optimizer that based on the task relatedness aims at preserving knowledge learned in previous tasks the initial reviews were reasonable but indicated that th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a scalable meanfield game mfg approach to the problem of cloud resource management it introduces an online natural actorcritic nac algorithm for mfgs which uses function approximation and...	i agree with the reviewers that this is a wellwritten paper on an interesting application of meanfield games the paper is a nice blend of theoretical developments and experimental evaluations i believe that it will be wellreceived by the neurips community and recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work shows how an existing acquisition function like maxvalue entropy search and thompson sampling can be slightly modified for quantile optimization this work additionally accounts for heteroscedasti...	meta review the paper proposes a method for bayesian quantile and expectile optimization which changes the focus in bo from a mean estimate to a quantile of the estimated objective function the goal is to provide a robust method with respect to extreme events the proposed approach handles heteroskedasticity by using tw...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a novel multigranularity crossmodal alignment mgca framework to seamlessly leverage the multigranular semantic correspondences between medical images and radiology reports for generalize...	a multigranularity crossmodal alignment framework is proposed which learns data representations from medical scans paired with the corresponding text reports the reviewers find the appraoch novel and the paper wellwritten with an overall clear structure extensive experimental results show the effectiveness of the prop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a simple offline rl algorithm based on qlearning that instead of computing the exact maximum over actions takes the sample maximum when sampling from an learned estimate of the behavior p...	overview the paper provides a simplified offline rl algorithm based on bcq it analyzes the algorithms using a samplingbased maximization of the q function over a behavior policy for both bellman targets and for policy execution the emaq based on this the paper then proposes to use more expressive autoregressive models...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes an approach to generate semantic explanations for highdimensional data the proposed approach consists of two modules the first module transforms the highdimensional raw data int...	this paper introduces an approach to model explainability on highdimensional data by 1 first mapping inputs to a smaller set of intelligible latent features and then 2 applying the shapley method to this set of latent features several methods are considered for 1 and empirical results are examined across several settin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes the release of a dataset and a benchmarking of offpolicy reinforcement learning methods a comment i would have about the proposed dataset is that i wish that the dataset had tried to in...	all reviewers vote for accepting the paper one concern in multiple reviews was the clarity of the writing in addition one reviewer also pointed out shortcomings in the documentation which the authors have addressed by now hence i encourage the authors to carefully edit the paper for clarity overall i recommend acceptin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an improvement over the aqm approach for an informationtheoretic framework for taskoriented dialog systems specifically the paper tries to circumvent the problem of explicitly calculating...	important problem visually grounded dialog incremental but not in a negative sense of the word extension of prior work to an important new setting guesswhich wellexecuted paper was reviewed by three experts initially there were some concerns but after the author response and reviewer discussion all three unanimously re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a transformerbased architecture for video situation recognition that a augments prior work on semantic role labeling in videos with spatiotemporal grounding and b removes the requirem...	all four reviewers agreed that this paper tackles an important problem and the proposed approach is novel and well supported by sufficient empirical evidence they also acknowledged the new data annotation contribution and that that the paper is generally written well there were several nice suggestions to improve the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to help transformer learn long sequence efficiently the paper performs attention on selective timesteps that have high expirespan scores for each timestep the expirespan score is computed by mapping the cor...	the paper studies the problem of identifying what information to forget in attention mechanisms with the goal of enabling attention mechanisms to deal with longer contexts this is a simple yet intuitive extension selfattention is augmented with an expiration value prediction experiments were carried out on nlp and rl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed dasgd an algorithm for largescale largebatch training of deep neural networks the algorithm combines local sgd with delayed averaging steps to hide the communication overhead however wor...	this paper proposes a variant of stochastic gradient descent that parallelizes the algorithm for distributed training via delayed gradient averaging while the algorithm dasgd proposed is sensible and seems to work it also seems to miss a lot of related work as pointed out by one of the reviewers the class of asynchrono...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the recently proposed dense retrieval methods to the multihop opendomain questions so as to handle complex multihop queries the overall idea is simple direct but effective the authors con...	the paper introduces improving passage retrieval for multihop qa datasets by recursively retrieving passages adding previously retrieved passages to the input in addition to a query this simple method shows gains on multiple qa benchmark datasets and the evaluation presented in the paper on multiple competitive benchma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in the context of neural networks with mixture of experts moe layers the paper proposes to decrease the number of activated experts per each input as training progresses by means of decreasing the temperatu...	this paper proposes a simple approach to improve the robustness of training a sparsely gated mixtureofexperts model which at a high level simply consists in training initially as a dense gated model to better warm start a final phase of sparse training results are presented to highlight the potential benefits of this a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper models noisy observations from complex dynamical systems consisting of multiple interacting subsystems by a set of sparsely interacting recurrent networks the interactions between the recurrent n...	this paper presents a model for dynamical systems with multiple interacting components each component is modeled as an rnn and the interactions between components are functions of their distance in a learned embedding space its an interesting idea and well motivated inductive bias the results were made more compelling ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new task openset single domain generalization where only one source domain is available and unknown classes and unseen target domains increase the difficulty of the task a new method cr...	the paper presents a new problem openset single domain generalization where only one source domain is available and unknown classes and unseen target domains increase the difficulty of the task to tackle this challenging problem this paper designs a crossmatch approach to improve the performance of sdg methods on ident...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new vit architecture by adopting the concepts of pyramid structure and employ regionaltolocal attention instead of global selfattention as in standard vision transformers the regional a...	the paper proposed a new architecture called regionaltolocal attention for the vision transformers the idea is easy to understand the model adopts the pyramid structure and adds a regional to local attention instead of using the global attention the architecture is wellmotivated and the paper is generally well written ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper designed and tested wtawp a new adversarial weight perturbation approach on graph neural networks they demonstrated that by locating flat local minima our wtawp can improve the regularization of g...	this paper considers a variant of adversarial weight perturbations sharpness aware minimization for graph convolutional neural networks for node and graph classification in particular they make two adjustments truncating ie limiting the weight perturbation to specific layers and weighting the sharpness aware loss with...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study the pomdp problem from the causal perspective and the propose to combine offline and online data to infer the transition model via deconfounding on the theoretical side they show that the ...	in this paper the authors provide a modelbased approach for combining experimental and observational data in reinforcement learning specifically in pomdps the paper was not received very favorably by reviewers with the main concerns revolving around a writing quality b validation c extent of contribution given existin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: often in a deep generative model with multiple latent variables the structure amongst the latent variables is prespecified before parameter estimation this work aims to learn the structure as part of the pa...	strengths this paper develops a method for learning the structure of discrete latent variables in a vae the overall approach is wellexplained and reasonable weaknesses ultimately this is done using the usual style of discrete relaxations which come with tradeoffs and inconsistencies consensus the reviewers all agree...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as the title suggests the paper is a comparison of recent continual learning methods that prevent catastrophic forgetting and their effectiveness in some text classification tasks using popular pretrained l...	this paper presents a comparison and analysis of continual learning methods for pretrained language models the authors categorise continual learning methods into three categories those that use cross task regularisation those that employ some form of experience replay of previous training examples and those that dynami...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a selfdistillation based graph augmentation mechanism to alleviate the drawbacks of existing mi based models wrt their high dependency towards negative sampling quantitatively t...	this paper proposes an unsupervised graph learning method iterative graph selfdistillation igsd by iteratively performing selfdistillation to contrast graph pairs under different augmented views this idea is then extended to semisupervised setting where via a supervised contrastive loss and selftraining the method is e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an algorithm for compressing the size of entire training data into a few synthetic training samples the method is based on neural networks and is applied on image datsets the authors comm...	the reviewers agree that the idea for dataset distillation is novel however it is unclear how practical it can be the paper has been significantly improved through the addition of new baselines however ultimately the performance is not quite good enough for the reviewers to advocate strongly on its behalf perhaps the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a rolebased learning model for the decpomdps the main contribution lies in the efficient discovery of roles from the joint action spaces and then learning a bilevel role assignment for ...	the paper proposes a twolevel hierarchical algorithm for efficient and scalable multiagent learning where the highlevel policy decides a reduced space for lowlevel to explore in all the reviewers liked the premise and the experimental evaluation reviewers had some clarification questions which were answered in the auth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written and presented giving a good literature review and clearly explaining the design decisions and tradeoffs the paper proposes a novel factorisation approach and uses recurrent network...	this paper proposes novel recurrent models for polyphonic music composition and demonstrates the approach with qualitative and quantitative evaluations as well as samples the technical parts in the original writeup were not very clear as noted by multiple reviewers during the review period the presentation was improved...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the intraclass clustering ability of neural networks trained in supervised learning and found that networks show intraclass clustering ability despite not explicitly enforced by the label...	the paper proposes intraclass clustering as an indicator of generalization performance and validates this by extensive empirical evaluation all reviewers have found this connection highly interesting the author response has also duly addressed most of the reviewers concerns given the importance of studying generalizati...

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