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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is wellwritten the idea of extending the thompson sampling method for sequential bayesian learning to the proportional hazards model is novel and interesting assumption 2 is rather very stro... | meta review this paper considers vaccine trials where the result of pulling an arm administering a specific vaccine will only be known if that person gets infected and only with a delay the approach is based on applying a variant of thompson sampling with a laplace approximation it is used in combination with the cox p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors explore ways to combine autoassociative memories with variational bayesian vb methods building on developments in modern hopfield networks the authors analyze iterative memorydependent inferen... | this submission provides a link between autoassociative memory and variational inference by making priors of representations being memory dependent this view provides new important insights as well as new algorithms the reviewers raised concerns mostly about 1 the clarity of the presentation and 2 connections to prev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a dataset for slu that focuses on voice commands dealing with multidigit numbers which often find use in the daily activities of humans the proposed dataset tries to fill an important gap... | this paper introduces a speech dataset that involves multidigit numerics particularly they are looking into four scenarios set timer unit conversion set alarm simple math operations that involve multidigit utterances along with a small amount of 25 hours of human speech real speech data the authors also present largesc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel framework of invariance learning that enables invariant predictor to be estimated in single domain data by assuming additional data from multiple domains for a higher level of c... | this paper targets the invariant learning problem for outofdistribution generalization a new framework is proposed which enables invariant predictors to be learned in single domain data with the help of additional data from multiple domains both theoretical analysis and empirical evaluations are proposed to verify the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using predicted variablespvars variables that learn their values through reinforcement learning using observed values and rewards provided explicitly by the programmer pvars are meant t... | the paper proposes a framework at the intersection of programming and machine learning where some variables in a program are replaced by pvars variables whose values are learned using machine learning from data the paper presents an api that is designed to support this scenario as well as three case studies binary sea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focus on a important scenario to consider differential privacy and model compression together it considers kd and structured and unstructed pruning the paper is generally wellwritten strengths i... | this work proposes and empirically evaluates algorithms for compressing and finetuning a large model for a downstream task while satisfying dp for the downstream task training data the set up is the following we have a large pretrained language model such as bert we would like finetune it for a task using a dataset d a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for extending exemplar rewards where reward is inferred from success examples to the partially observable setting existing methods dont extend well since they match the current ... | the reviewers have unanimous decision to accept this paper i thank the authors for their very thorough comments and answers summary the paper seems to be well motivated and clearly written all reviewers left a very detailed review quality55 all reviewers agree that the paper is very wellwritten and technically conv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of generative modeling for mixed discretecontinuous data to this end it introduces a novel variant of coupled variational autoencoders specifically they reformulate the coupl... | this paper proposes cplmixvae a method for fitting discretecontinuous latent variable models based on mixture representations and a novel consensus clustering constraint after extensive discussion no one was willing to argue in favor of acceptance and a majority of the reviewers felt another round of revision is needed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to constrain lipschitz constant for the continual learning settings in order to control problems related to reusing the same replay samples they show that this leads to increased perfor... | in order to solve the inherent problem of rehearsalbased continual learning methods a problem in which a small pool of data from the previous tasks is repeatedly used for learning and hence we have a tight and unstable decision boundary this paper proposes a method to provide smoothness of the backbone network by placi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers gaussian vaes and their tendency to suffer from posterior collapse in particular the authors analyse the impact of the usually fixed covariance sigmax of the decoder gaussian on the lear... | this paper is about learning the output noise variance of a vae and its effect on the generated image quality as measured by fid the paper argues that the output variance parameter plays an important role and proposes a simple procedure where a maximum likelihood estimate of the noise variance is estimated experiments ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper puts forth a methodology for supervised spectral clustering by leveraging existing theoretical foundations of spectral clustering in particular drawing insights from seminal works such as lee at ... | there was some discussion on this paper both with the authors and between reviewers on the one hand there is a general agreement that the empirical results suggesting that spectral clusteringbased method can be competitive with sota methods on node classification benchmark is an interesting result one the other hand re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed to use graphbased deep learning methods to apply deep learning techniques to images coming from omnidirectional cameras it solves the problem of distorsions introduced by the projection ... | strengths this paper proposed to use graphbased deep learning methods to apply deep learning techniques to images coming from omnidirectional cameras weaknesses the projected mnist dataset looks very localized on the sphere and therefore does not seem to leverage that much of the global connectivity of the graph all... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes to use riemannian stochastic gradient algorithm for lowrank tensor train learning in deep networks comments the paper is easy to follow c1 the novelty of the paper is rather... | this paper proposes using a tensor train low rank decomposition for compressing neural network parameters however the paper falls short on multiple fronts 1lack of comparison with existing methods 2 no baseline experiments further there are concerns about correctness of the math in deriving the algorithms convergence ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose fast algorithms for exact matrixvector computations when the matrices are pairwise distance matrices not strictly metrics this leads to fast algorithms for matrix multiplication when one... | the authors propose fast algorithms for exact matrixvector computations when the matrices are pairwise distance matrices not strictly metrics this leads to fast algorithms for matrix multiplication when one factor is a distance matrix experimental results are included as well as lower and upper bounds as the reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors introduce a method which is tailored to unsupervised representation learning via minimizing mutual information authors support their method with an experimental study the proposed method has some me... | during the discussion phase although the reviewers acknowledge superior empirical performance of the proposed method they shared the two major concerns 1 lack of theoretical or empirical justificationproof for the key statement the current methods do not effectively maximize the mi objective because greedy sgd typicall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a new type of state abstraction called modelinvariance by integrating sparsity with causal invariance in the singletask rl scenarios in the linear settings they learn the modelinvarian... | this paper proposes a method to learn representations in mbrl by exploiting sparsity in the model to improve data efficiency the key idea is to build a representation for which the model is invariant the idea is quite interesting but one weakness of the current draft is that there is a disconnect between the presented ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method the partial identification of causal effect for when the variables might be continuous there has been a lot of progress in the identification of causal effect in the discret... | all reviewers agreed that this paper should be accepted because of the strong author response during the rebuttal phase specifically the reviewers appreciated the presentation of the paper the inventive use of existing work the simplicity and soundness of the method and the strong theoretical guarantees and empirical r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a setup of fewshot continual active learning focal where the agent continually learns with an unlabeled data and limited amount of labeling budget this problem setup is meaningful becaus... | all reviewers appreciated the importance of the problem being tackled and the effectiveness of the proposed method there were a number of concerns about ablations and use of pretrained feature extractors but these have been sufficiently addressed in the authors rebuttal i agree with the reviewers in recommending accept... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes mqes a maxq entropy search for policy optimization in continuous rl the authors propose to combine advantages of the informationtheoretic principle and distributional rl in which episte... | the paper contributes to the community by introducing an approximation to distribution q functions based on the epistemic and aleatoric uncertainty the reviewers believe the ideas make sense however the presentation and its experiment results make it hard for them to understand some important details for example the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript efficient inference of nonparametric interaction in spikingneuron networks develops an expectationmaximization em algorithm based on an existing trick of introducing additional latent variab... | this article proposes latent variable augmentation scheme for inference in nonlinear multivariate hawkes processes it combines existing approaches polyagamma and sparsityinducing variables in a sensible way and is clearly written concerns were raised with respect to the comparison to alternative baselines and answered ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a model known as deviating mixture model which is a mixture of a single known distribution h0 and an mixture model whose parameters are unknown the authors modify previous work to give a... | the authors study a mixture of a single known distribution h0 and an mixture model whose parameters are unknown they propose new notions of distinguishability and partial distinguishability that they use for characterizing convergence rates the reviewers had a mixed opinion about the paper and had several comments abo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a generalized notion of distributionally robust optimization dro in particular the mixing weights for different data distributions m groups can belong to arbitrary subsets q of the simple... | the main criticism raised by the reviewers was the unconvincing experiments the reviewers generally liked the simplicity of the method presented the paper but were unconvinced by the impactutility of the results even though the paper focuses on the convex regime the paper may benefit from some dl experiments this is no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors introduce a new block that combines the global receptive field of transformers with the positional bias of convolutions they build on this block to produce an architecture that com... | this paper presents a light weight hybrid model using both convolutions and transformer layers resulting in models with lower computational cost and good performance reviewers find the paper interesting and agree that the paper did a good job in presenting convincing experimental results there were questions about role... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel algorithm that strategic users can employ to learn an almost nash equilibrium in dynamic games without the need of knowing the state transition probabilities and their own payoff... | this paper examines the convergence of stochastic fictitious play sfp in certain classes of discounted stochastic games more specifically twoplayer zerosum and potential commoninterest games the players are not assumed to know the games reward functions andor transition probabilities beforehand and instead learn or ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores the problem of active irl where the goal is to explore the environment to infer a good reward function the paper addresses the active irl problem without assuming access to the transition... | this submission is solid as a work that introduces a novel irl approach and analyzes its theoretical underpinnings its evaluation is done on very much toy problems though and the metareviewer suggests reinforcing it with more complicated benchmarks eg lowdimensional mujocobased ones used in d4rl to demonstrate that it ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript proposes to measure the modal uncertainty in conditional generative models by forcing a discrete latent intermediate representation here c between inputs x and outputs y by then manipulating... | this paper introduces a conditional discrete vae for uncertainty estimation on highdimensional data reviewers found the paper borderline and two of the three reviewers stated it doesnt meet the acceptance bar due to lack of clarity in several aspects and limited technical novelty |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper operates in a 2agent setting where one agent is a learning agent and the other agent is the assistant the objective is for the learning agent to seek help from the assistant while solving a task a... | this paper is on the theme of active reinforcement learning with a humanassistant in the loop under partial observability an agent acts as per an interaction policy that gathers stategoal information from the assistant while an operational policy assumed prelearnt in this paper executes lowlevel actions the reviews ac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers evaluation and optimization of a policy that selects a binary treatment for each individual who then interact via an optimization problem the challenge as it usually is with policy evalu... | in the paper the authors considered a new formulation for the offpolicy evaluation and optimiation in which the utility measured by the output of a downstream decisionmaking problem therefore the policy value is dependent on individual reponse this difference induces additional optimization bias in the estimand and re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main strength is that this paper presents a new problem setup discovering new categories and giving an already trained model the ability to extend its class vocabulary on the fly an illustrative example... | meta review the paper proposes a method that allows a pretrained semantic segmentation network to discover new classes and learn to segment them in an open world two reviewers appreciate the key idea and acknowledge that this is an important problem reviewer 3 raises concerns about the lack of sensitivity analysis in a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied a style bestfirst search with deep networks guided value and policy functions theoretical framework was created for the analysis of heavy left and right tails problem in running time this... | the paper proposes a mechanism for a planning with learned policy and value functions the experiments restricted to the sokoban domain show that the runtime of guided search follows a heavytailed distribution suggesting that in many cases the problem is either solved quickly or takes a long time an abstract model is pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to perform a constraint optimization of an approximation of the expected reward function for unparameterized policy with subsequent projection of the solution to the nearest parameterized... | the paper presents an interesting technique for constrained policy optimization which is applicable to existing rl algorithms such as trpo and ppo all of the reviewers agree that the paper is above the bar and the authors have improved the exposition during the review process i encourage the authors to address all of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the tone of the paper is notably scientific as the authors clearly state the assumptions and all observations whether positive or negative that said the approach itself can be seen as a direct extension of ... | the paper contains useful information and shows relative improvements compared to mixup however some of the main claims are not substantiated enough to be fully convincing for example the claims that manifold mixup can prevent can manifold collision issue where the interpolation between two samples collides with a samp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work has proposed a new method to textual style transfer which is based on the assumption that there exist some pseudoparallal sentences pairs between two styles it first construct synthetic parallel c... | the paper proposes a new method for unsupervised text style transfer by assuming there exist some pseudoparallal sentences pairs in the data the method thus first mines and constructs a synthetic parallel corpus with certain similarity metrics and then trains the model via imitation learning reviewers have found the me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides three sign language datasets which by itself is already useful sign languages are largely underresourcedunderstudied the authors also provide indepth analysis of the extraction process d... | this paper presents a significant collection of unlabelled signing data 46k hours across 10 sign languages which have been preprocessed and converted to posekeypoints to remove identifiable information the paper also presents multiislr a multilingual dataset with labelalignment extracted from 11 other labelled datasets... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose mvpn dataset for multiview object classification to combine information from multiple views for multiview object classification their contributions are proposing a realworl... | quality the presented work has strong usecase for multiview object classification with diverse examples for 44 products which are captured in multiple views the proposed dataset is also benchmarked with 4 feature aggregation and 12 soft label methods on the dataset which promotes strong adoption the prop... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new approach for neural language models based on holographic reduced representations hrrs the goal of the approach is to learn disentangled representations that separate different aspec... | this paper proposes the use of holographic reduced representations in language modeling which allows for a cleaner decomposition of various linguistic traits in the representation results show improvements over baseline language models and analysis shows that the representations are indeed decomposing as expected the ... |
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 unsupervised feature selection and proposes a method by exploring the locally linear embedding experiments are conducted to show the performance of the proposed locally ... | this paper presents an llebased unsupervised feature selection approach while one of the reviewers has acknowledged that the paper is wellwritten with clear mathematical explanations of the key ideas it also lacks a sufficiently strong theoretical foundation as the authors have acknowledged in their responses as well ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework for recording synchronized multimodal data from wearable and global sensors in the real world to enable a learning pipeline to better understand human everyday behavior and i... | this paper presents an interesting multimodal dataset for research work on analyzing human actions while there are some issues with this work the authors have addressed most of them well during the rebuttal phase overall there is sufficient support to accept this paper at this conference the authors should include all ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the effect of dichotomous dataset difficulty ddd on model predictions it has three key findings first it shows that a large fraction of imagenet images are either trivial most models cla... | the key contribution of the paper is identifying that datasets have the socalled ddd property in short datasets are predominantly composed of examples that are either consistently trivial or challenging often misclassified for neural networks reviewer mrqk pointed out that it is well known and provided four references... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors consider the rich advertising auctions where advertisers can opt in or out of showing different extensions with the ads which also makes the setting not singledimensional the objec... | reviewers agreed that rich ad auction is significant and are excited about theoretical bounds on the positive result achieved by a simple mechanism and the negative result overall this is a solid theoretical paper on an important and classical problem in industry |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors investigate the impact of various training hyperparameters such as weightdecay batch size use of batch normalization in eval train mode during adversary generation smooth activations ... | the authors have conducted a thorough empirical study on the hyperparameters of representative adversarial training methods the technical novelty of this paper might be insufficient but the empirical findings in this paper explain the strange and inconsistent reported algorithm results in the literature to some extent... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of learning an optimizer like learning to learn by gradient descent by gradient descent and its followup papers specifically the authors focus on obtaining cleaner gradients f... | the paper conveys interesting idea but need more work in terms of fair empirical study and also improvement of the writing the ac based her summary only on the technical argumentation presented by reviewers and authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to use selfsupervision to identify the most useful features for downstream tasks particularly in the context of correlated features this is an important aspect that is lacking from many featu... | this paper proposes a feature selection method to identify features for downstream supervised tasks focused on addressing challenges with sample scarcity and feature correlations the proposed approach is highly motivating in biological and medical applications reviewers pointed out various strengths including potenti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is theoretical sound and well organized this paper shows that the bayes estimator with gaussian prior can outperform the linear estimators including kernel regression and knn which i believe is i... | this paper analyzes deep networks optimized using nonconvex noisy gradient descent the main result shows that in a teacherstudent setting the excess risk converges in a fastrate and is stronger than any linear estimators which include kernel methods the paper also gives a convergence rate result that depends on some sp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a multilevel embedding mile framework which can be applied on top of existing network embedding methods and helps them scale to large scale networks with faster speed to get the backbone... | significant spread of scores across the reviewers and unfortunately not much discussion despite prompts from the area chair and the authors the most positive reviewer is the least confident one very close to the decision boundary but after careful consideration by the senior pcs just below the acceptance threshold ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a mechanism to perform fairness aware feature selection that achieve counterfactual fairness under certain assumptions s1 fairness aware feature selection is an important problem whi... | this paper has divergent views in the sense two reviewers have given positive assessments 6 and 7 while the other reviewer has given a negative assessment score of 3 this paper also had very heavy discussions between the reviewer with negative opinion and the authors first of all i would like to thank the reviewer inv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
when training quantized neural networks one typically first fixes the desired bitwidth b of weights and activations while training one maintains and updates fullbitwidth weights during backprop and cheats b... | this paper proposed a regularization term to control the bitwidth and encourage the dnn weights moving to the quantization intervals the paper is wellwritten and the idea of using the sinusoidal period as a continuous representation is novel however the theoretical analysis provided are not consistent with the proposed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of finding the nash equilibria in twoplayer zerosum markov games with a generative model the authors established a minimax optimal sample complexity in this setting i think ... | this paper received uniformly positive reviews on a topic of relevance to the theoryml community where understanding how to achieve tight sample complexity results in markov games has been of significant interest in recent years |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a rewardswitching policy optimization rspo that discovers diverse policies that are locally optimal and sufficiently different from the existing ones this is done by adaptive switching a... | in this paper a new method is proposed to discover diverse policies solving a given task the key ideas are to 1 learn one policy at a time with each new policy trying to be different enough from the previous ones and 2 switch between two rewards on a pertrajectory basis the normal reward on trajectories that are unlike... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a model free reinforcement learning algorithm with constraint on reward with demonstration on cartpole and quadruped locomotion strength 1 challenging examples like the quadruped ... | strengths the paper introduces a novel constrainedoptimization method for rl problems a lowerbound constraint can be imposed on the return cumulative reward while optimizing one or more other costs such as control effort the method learns multiple the paper is clearly written results are shown on the cartandpole a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on weaklysupervised classification tasks where i multiple weak sources ie labeling rules are used in a label model eg weighted majority voting to generate soft labels for unlabeled data i... | this paper proposes sourceaware influence function if to study the influence of individual data source and class tuples on the performance of different label functions in the programmatic weak supervision paradigm the proposed method has the capability to work with diverse data domains tabular image textual an ample nu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the poolbased active learning problem using a constrained learning formulation the authors use the dual variable corresponding to each labeled data point as a measure of its information a... | in this paper the authors formulate batch active learning as a constrained optimization problem and develop a primaldual approach to select a diverse set of unlabeled samples the idea of using constrained optimization for active learning is novel and interesting and the experimental results are also promising |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new black box optimization method for learning rl policies in stochastic environments the simple new method called hypothesis driven coordinate ascent hdca does not explicitly require ... | the manuscript proposes a black box optimization algorithm based on statistical hypothesis testing and proposes to use it to solve control problems posed in stochastic environments while reinforcement learning appears in the title this appears to have nothing to do with rl other than that it purports to solve problems ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a problem of detections and localizations of changes using the discrepancies between the nadarayawatson estimator on data before and after a time the paper develops the methods from scalar... | this manuscript enjoyed universal recommendation of acceptance from the reviewers after the initial review phase the reviewers did note several minor issues in these initial reviews many of which were resolved by insightful responses from the authors i encourage the authors to edit the manuscript to reflect the insight... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a benchmark challenge on mouse brain mri data the three tasks consist of macrolevel region classification pixellevel microstructure classification and estimation of semantic features the... | this paper introduces an mtneuro benchmark on a large 3d xray microtomography imaging dataset that encompassed multiple brain areas three tasks are designed covering a wide range of scale from pixel level to the whole image regions and various supervised as well as selfsupervised algorithms are evaluated on the establi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the universal learning rate for interactive learning which unlike the uniform learning setting that captures an upper envelope of the learning curves over families of distributions concern... | this paper provides a characterization of learning rates for interactive learning in the universal learning framework all reviewers praised the novelty and quality of this submission |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
incremental training via finetuning of largescale deep learning models often face challenging issues like catastrophic forgetting as a remedy this paper proposes three methods 1 fisher shutoff 2 fractional ... | this paper motivates problems related to fine tuning of pretrained deep learning models for commercial applications and proposes three solutions for incremental learning fisher shutoff fractional data retention and border control the reviewers thought the work was wellmotivated and they were in agreement that this is ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the results of 1 to a dynamic setting to do this the authors first propose a new formulation markov matching markets this formulation can capture centralized matching problems that may a... | this paper extends work on learning equilibria in matching markets from bandit feedback to more general markov structure the paper brings to rlmdp approaches to bear in this context an algorithm is presented and sublinear regret bound established this seems like a solid contribution and the reviewers are supportive ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the phenomenon of double descent for ridgeless regression they show that when the label noise in the regression problem is lower bounded the test error for regression must peak at the inte... | this paper shows that the double descent phenomenon of ridgeless regression appears under considerably general settings of the input distributions by showing a lower bound of the excess risk the analysis covers various types of input distributions including deterministic and random feature maps and its asymptotic sharp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address an important problem of autoencoders having low reconstruction error for ood instances they use the regular inlier reconstruction loss minimization with an additional term to maximize re... | the paper proposes to use reconstruction error of autoencoder as the energy function and normalize the resulting density for detecting anomalousood examples reviewers have raised several concerns with the paper including lack of insights into why the ae energy is better for ood detection than other energy function para... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the regret guarantees are derived for policy evaluation while the results are good the comparisons with other approaches would have helped 1 this paper considers an approach for policy evaluation however r... | meta review the authors have made a convincing rebuttal for one reviewer with a borderline opinion and two other reviewers firmly recommend acceptance the authors are encouraged to address reviewer concerns and incorporate their wellargued rebuttal response on revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces mate a multiagent learning environment that models an asymmetric game between two teams of players the cameras and the targets the cameras are fixed in their location but can change di... | this paper introduces an interesting cooperativecompetitive marl environment involving groups of camera and targets with the objective of transportation the benchmark environment appears to be scalable with novel components including partial observability and generalsum rewards in an interesting environment the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies monte carlo with exploration starts algorithm for solving the reinforcement learning problem the writing is clear and i enjoyed reading this paper as for the results asymptotic convergenc... | the paper considers the convergence of the monte carlo exploring start mces algorithm a basic method in rl although the method is very simple and known for a long time the condition for its convergence is not completely understood one of the latest results is from almost 20 years ago tsitsiklis on the convergence of o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes the occgen toolkit which extracts genderbalanced multilingual parallel data and evaluates three multilingual models in highresource and lowresource genderbalanced datasets the proposed ... | this paper describes a toolkit for building multilingual datasets that are balanced across preselected gender categories in occupations drawing from source datasets such as wikipedia the toolkit performs data collection aligns data and balances data in a customizable way case studies are performed on a machine translat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an imitation learning algorithm to handle both online and offline setting first an intractable convex problem is obtained by relaxing the primal problem after that the saddle point probl... | it was agreed among the reviewers and ac that the paper should be accepted hope the authors will address the remaining comments from the reviews in preparing the final version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a regularization term for the conditional gan objective in order to promote diverse multimodal generation and prevent mode collapse the regularization maximizes a lower bound on the avera... | the paper proposes a regularization term on the generators gradient that increases sensitivity of the generator to the input noise variable in conditional and unconditional generative adversarial networks and results in multimodal predictions all reviewers agree that this is a simple and useful addition to current gans... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method of training flow models instead of minimizing kl divergence in the data space x the paper proposes to minimize the kl divergence in the latent space z however the problem of... | the paper proposes an algorithm for training flow models by minimizing the kl divergence in the latent space z the paper addresses an important problem in training flow models however some major concerns remain after the discussion among the reviewers the scale of the experiments and the scalability of the approach app... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a genetic algorithm ga based method to generate adversarial images ie images perturbed in a way such that it leads to misclassifications in a number of image classification models inves... | this work proposed a nested evolutionary algorithm to choose image filters and filter parameters for backbox attacks with the emphasize of high transferability after reading the manuscript the comments of reviewers and the authors responses i think the main issues of this work include 1 the limited novelty of the ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes and analyses a distributed learning algorithm for training with stochastic gradient descent a global model on a regular graph that allows for local and asynchronous gradient upda... | the reviews were a bit mixed on one hand by combining and adapting existing techniques the authors obtained some interesting new results that seem to complement existing ones on the other hand there is some concern on the novelty and on the interpretation of the obtained results upon independent reading the ac agrees w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit score has been updated to reflect the revisions by the authors remaining review below is unchanged this paper studies the linear mixing inverse problem also known as blind source separation in the co... | the paper develops an unrolled version of the palm algorithm for sparse blind or semiblind source separation the unrolled version includes a softthresholding update in which the thresholding parameter and one of the weight matrices is learned from data with a least squares dictionary update in which the step size is le... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
impact the submission claims that other works that investigation compositionality in representation learning do not actually test compositional generalization because all combinations have positive joint ... | this work considers an apparent problem with current approaches to compositional generalisation cg in neural networks the problem seems to be roughly 1 prior work in cg aims to extract compositional representations from the training distribution 2 work on cg the training set and the test set are drawn from different di... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors investigate the local intrinsic dimensionality lid especially the feature flid structure lid slid and representation lid rlid of a graph through experimental analysis the authors de... | the paper investigates the interesting problem of the local intrinsic dimension lid of graphs and interpreted the gnn learning from feature lid flid structure lid slid and representation lid rlid the concepts are novel but the paper needs better insights on how lid can improve graph learning and stronger empirical evid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presents a framework to categorize gnn aggregators based on their distinguishing strength it connects the distinguishing strength to the rank of the aggregation coefficient matrices based on the fi... | the paper explores the representation power of gnns in particular studying the bottleneck and improving expressiveness with new aggregators which are analyzed theoretically this issue was highlighted in previous works but the merit of this paper is a constructive analysis the reviewers were overall not enthusiastic a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after rebuttal increased confidence accept remark this is an emergency review that is the reviewer did neither select autonomously into this paper out of interestexpertise nor was the reviewer grant... | the paper proposes refactorgnns a unified view on factorizationbased models fms and graph neural networks gnns it shows how to how fms can be cast as gnns by reformulating the gradient descent procedure as messagepassing operations the reviewers agree that the idea is intuitive and yet very clever at the same time as o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a dataset for benchmarking the performance of ecg and ppg waveform imputation methods by leveraging publicly available icu waveform data and using realistic missingness patterns to creat... | this paper develops a new benchmark for missing data imputation in pulsative signals like ecg using realistic missingness models i expect such a dataset to drive important developments in this understudied area indeed the authors show that standard sota methods fail the reviewers enthusiasm makes this paper a clear acc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a good paper with new idea and solid experiments strengths 1 the idea is novel 2 the experiments are sufficient 3 the results are good weaknesses refer to the questions please refer to the questio... | the paper follows the recent trend of segmenting point clouds into instances using superpoints technically the paper proposes to construct superpoint graph and learns to perform graph cut for the segmentation three reviewers generally appreciate the idea and empirical results although some architectural components and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper combines selfsupervised learning framework boyl and fedavg to improve the performance of unlabeled noniid datasets strengths 1 unsupervised fl is a wellmotivated and timely topic weaknesses 1... | the paper focuses on selfsupervised learning ssl in the federated learning setting fedssl research in this area is timely and of significance the authors phrase their work as primarily being an empirical study providing insights into the building blocks of fedssl the evaluation in the paper is quite thorough and the au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a multilingual nlp model which performs very well on a target language with any leveraging labeled data the authors evaluated their framework on there different tasks slot filling named ... | the proposed method proposes a new architecture that uses mixture of experts to determine what to share between multiple languages for transfer learning the results are quite good there is still a bit of a lack of framing compared to the large amount of previous work in the field even after initial revisions to cover ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a novel equivalence between the convexconcave procedure cccp for difference of convex dc programming and the frankwolfe fw algorithm for minimization the key idea is to show that cccp is... | many reviewers have found that the paper contains many interesting elements and its theoretical derivations are solid the paper is also very well written there are some minor suggestions that could greatly help improve the quality of the final paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper uses a combination of visual human gaze and human motion sensors to build representations that perform better on downstream tasks such as action recognition physics prediction an... | the paper presents an attempt to learn interactionbased representations by taking advantage of body part movements and gaze attention video representations are learned by benefiting from additional supervisory signals which are not the ones commonly used making the paper more interesting r3 expresses a concern that th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a question about discretize continuous features or group discrete features in the preprocessing step which they call feature quantification it considers that a joint training of feature ... | all reviewers agree to reject while there were many positive points to this work reviewers believed that it was not yet ready for acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a combinatorial view of optimizing shallow twolayer relu networks the authors show that optimizing a shallow relu network is an nphard combinatorial optimization problem and existing opt... | thank you for your submission to neurips this work presents a combinatorial view of training twolayer relu networks the reviewers and i after the author response are in agreement that there are interesting and strong contributions in this work namely it is shown that global optimization of a twolayer relu network ca... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is poorly written this is especially the case for the proposed algorithm the core contribution this section is very difficult to understand and notations are awkward everything is a bit messy howe... | the authors propose a method for attacking neural nlp models based on individual word importance wordsworth scores this is an interesting timely topic and there may be some interesting ideas here but at present the paper suffers from poor presentation which makes it difficult to discern the contribution presentation i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed model is rather abstract and simple in order to capture the most essential elements of car relocation the proposed dynamic relocation algorithm performs well compared with some alternatives the... | meta review the authors have cleared most of the reviewers doubts during the rebuttal after which all reviewers are agreeing to accept the paper reviewer w2ss did not officially updated their score to 6 as indicated in the reply |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors study the problem of identifying subsampling strategies for data augmentation primarily for encoding invariances in learning methods the problem seems relevant with applications to learn... | the paper proposes several subsampling policies to achieve a clear reduction in the size of augmented data while maintaining the accuracy of using a standard data augmentation method the paper in general is clearly written and easy to follow and provides sufficiently convincing experimental results to support the claim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provide a reformulation for a non convex dro problem with a fractional objective specifically they focus on scalability and leverage existing results on reformulation and extend th... | this paper studies distributionally robust optimization for a class of nonconvex problems motivated by applications to decision problems such as security games and facility location the reviewers agree that the paper is novel studies an interesting topic and proposes nontrivial algorithms with sound analysis reviewer b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is clearly providing a new sufficient condition for the applicability of the frontdoor criterion i have found the presentation of the technical material a bit hard to grasp my current impression i... | meta review this paper proposes tests based on verma constraints of the frontdoor approach to causal effect identification testability is of particular interest for this approach because it is often criticized for making the seemingly unrealistic assumption that all mediators of the particular causal effect of interest... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the following work proposes a formulation of the unsupervised latentlandmark learning autoencoder where the landmark bottleneck makes no assumptions about the number of instances of a keypoint to appear in ... | the meta reviewer has carefully read the paper reviews rebuttals and discussions the authors did a good job in rebuttal the additional results and clarifications addressed the reviewers concerns the manuscript crosses the acceptance bar the authors are still suggested to revise the paper considering the reviewers comm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the problem on posterior collapse in hierarchical variational autoencoders hvae and provides a theoretical explanation for why this occurs during training based on the elbo lower boun... | this paper studies unsupervised outofdistribution detection based on hierarchical vae models in particular it 1 investigates the posterior collapse issue 2 proposes a training procedure by increasing the mutual information between the input and latent representations and 3 proposes an adaptive likelihood ratio score fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a compression method based on spectral analysis the basic idea is to analyse correlation between responses of difference layers and select those that are more relevant discarding the oth... | the authors propose a technique for compressing neural networks by examining the correlations between filter responses by removing filters which are highly correlated this differentiates the authors work from many other works which compress the weights independent of the taskdomain strengths clearly written paper pfak... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in a standard gan a fixedcapacity discriminator is used during training in contrast this paper proposes dynamicd which changes the network capacity of the discriminator dynamically during training by varyin... | this method uses a dynamiccapacity discriminator to improve gan training improving perforation eg in limited data settings the method interested the reviewers though there were common concerns about how the work was presented both in what it is doing precisely as well as how it presents itself relative to prior works t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce an interesting approach to handling hard confident samples in learning with label noises at the heart of the proposed approach is an interactive method that jointly refines the classif... | the authors propose a process to leverage the memorization effect of deep learning models to filter out examples at the boundary hard that the models are confident on and argue that identifying those hard confident examples help improve the accuracy when learning under noisy data the process essentially alternates betw... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
iclr neural pdes summary this paper aims to use neural networks to find hidden structure in pdes and predict their solution their neural network examples are extremely small up to 325 parameters and requ... | the objective of the paper is to develop a framework for solving pdes with reduced model size and for scarce observation settings it proposes to use functional input dependent convolutions for learning spatiotemporal differential operators together with a non linear numerical scheme picard solver training makes use of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
scorebased generative modeling sgm refers to an increasingly popular class of generative models which implicitly learn a target distribution by using diffusion processes that gradually add noise to the obse... | the reviewers and i agree that the contributions of the paper are of interest and useful addition to the literature therefore i recommend accepting the paper please consider the reviewers comments when preparing the cameraready version |
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 benchmark for reinforcement learning based on a popular game minecraft it includes thousands of tasks with unified observation and action spaces and a large knowledg... | this paper proposes a new rl benchmark called minedojo which consists of thousands of diverse tasks on minecraft game the main challenge in designing such a benchmark is to define a good reward function to specify the desired task this is very tricky since minecraft is openended environment and there are various tasks ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presented an attentionbased neural network namely set transformer a new neural model based on original transformer designed for set inputs the basic idea is to introduce the attention mechanism ... | this paper introduces set transformer for set inputs the idea is built upon the transformer and introduces the attention mechanism major concerns on novelty were raised by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to tackle the problem of domain incremental learning in which its setting is distinct from the problem of classincremental learning in domain incremental learning different domain data a... | this paper adopts the prompt learning idea into continual learning to tackle the problem of domain incremental learning the proposed approach is clear the writing is easy to follow the experiment is convincing |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper revisits the lottery ticket hypotheis lth where aggressively pruning a neural network in a smart way allows it to retain its convergence properties at a lesser computational cost the authors adv... | dear authors the paper was received nicely and discussed during the rebuttal period however the current consensus suggests the paper requires another round of revisions before it gets accepted in particular there were still some gray areas regarding comparison to simple techniques eg one reviewer raised the questio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates methods for making slot attention exclusively multisetequivariant a property which allows them to map identical queries to different outputs starting with the observation that the nor... | the paper makes a relevant contribution an entropyregularized minimization to allow for tiebreaking multisetequivariance including experimental results showing better results than other slot attention approaches without a significant increase in computation time the reviewers are enthusiastic about the paper the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
for the curse of dimensionality problem of cnns this paper presents the gaussian mixture convolution network gmcn a method that alleviate the problem of highdimension data gmcn is a deep functional network ... | this paper presents a deep learning method that aims to address the curseofdimensionality problem of conventional convolutional neural networks cnns by representing data and kernels with unconstrained mixtures of gaussians and exploiting the analytical form of the convolution of multidimensional gaussian mixtures since... |
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