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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 a selfsupervised learning with an information maximization criterion among alternative latent representations of the same input that naturally prevents dimensional collapse it considers ...	the paper describes a selfsupervised learning method based on an information maximization criterion that naturally prevents dimensional collapse the authors consider the shannon mutual information under the assumption that the data is gaussian a firstorder approximation to the logdeterminant of the sum of two matrices ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a new method called halfspace stochastic projected gradient hspg to find a group sparse solution of regularized finitesum problems theoretical analysis tries to show the sparsity...	the paper received four borderline reviews overall the manuscript has improved after the rebuttal in particular an issue in the convergence proof has been fixed and a reviewer has increased his score to borderline accept yet the paper did not convince the reviewers that the contribution was significant enough and none...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe paper is tackling the topic of finegrained representation in contrast to comparable methods arp focus on subsampled via strided operation to represent finegrained information arp is an intuitive ...	four reviewers have reviewed this submission three of them recommended to reject the paper and one was marginally above the acceptance threshold the authors have not responded to the criticisms or questions of reviewers among many concerns were the issues with the use of lean and single target object images lack of dis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: useful regret bounds are provided especially for dpts it is shown that the regret is optimal till an olog logt factor it is identified that using the same reward observation for multiple estimations will ...	meta review this paper proposes nearly optimal thompson samplingbased algorithms with differentially privacy guarantees the authors have provided a very detailed and helpful response to the reviewer and meta reviewers questions there is unanimous support to accept this paper thus i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present two online biologically plausible algorithms for the irreducible representation learning method proposed by cohen and welling 2014 the first algorithm uses svd to extract the subspace o...	this manuscript presents novel biologically plausible algorithms for learning representations for lie groups the derivation of the algorithms and the networks are based on previously studied biologically plausible networks although there are some limitations the reviewers agree that this work is sound clearly presented...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a novel contrastive learning method of sentence embeddings using unpaired examples from another modality experiments on semantic textual similarity benchmarks demonstrate that t...	this paper improves contrastive learning of sentence embedding by using unpaired examples from the image or audio modality reviewers liked the significance of this work due to its simplicity and general applicability but some questioned the amount of improvement and advocated for the inclusion of low resource language...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a variational model to infer the underlying directed graph of a dynamical system from observed features of the agents over a time period regularization terms were also introduced to enco...	this is a bordeline paper all reviewers liked the paper but were a bit concerned with the number of regularization terms the loss combines vae and information bottleneck approaches and thus the number of hyperparameters secondly the reviewers were also initially concerned with the size of the benchmarks but the discus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a bayesian optimization algorithm in the context of federated learning the whole framework is built on top of generalized bayesian learning to overcome the locality of clients distributi...	this work presents a distributed svgd dsvgd algorithm as a new nonparametric bayesian framework for federated learning the reviewers concerned with the practical advantages of the proposed method including the communication cost and the constraint of updating one agent per time the authors rebuttal helped addressing so...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper highlights a very relevant problem in mri acquisition where corrupted raw image data needs to be improved upon in order to reach diagnostic image quality the strengths to highlight are 1 while m...	i would like to thank all reviewers for their time and effort spent reviewing the paper and for their engagement with the rebuttal process i also thank the authors for their detailed rebuttal and the changes made to the manuscript all three reviewers agree that the paper should be accepted so i am happy to go with thei...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper examines the source of translational invariance in cnns and points out that the convolution operation is translationally equivariant and not invariant authors thoroughly examine how training and ...	this paper receives 3 initial rejection ratings no rebuttal was submitted by the authors there is no basis for overturning the reviewers decisions this paper should be rejected
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to offer a theoretical analysis of the training with data augmentation and associated consistency loss while it is intuitive that training with data augmentation and consistency loss will he...	this paper shows how constraining the representation to be invariant to augmentation shrinks the hypothesis space to improve generalization more than just introducing additional samples through augmentation i agree with the reviewers that this is a novel intuitive and interesting finding however there were many technic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: comments after rebuttal overall the authors have addressed many concerns in the latest version of the paper in the current form i have a much better impression of this work and thus raise my score to a poin...	very good paper it proposes a novel parameterization of orthogonal convolutions that uses the cayley transform in the fourier domain the paper discusses several aspects of the proposed parameterization including limitations and computational considerations and showcases it in the important application of adversarial ro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new initialization scheme for the kmedian problem on graph input or general metric spaces using metric embedding tree structure the paper proposes an algorithm that finds initialization...	this paper considers initialization methods for the kmeans algorithm there is a lot of prior work in this area the reviewers were mildly positive on the paper there were several concerns on how the results were presented as well as the comparison to prior work importantly no reviewer felt that there was a lot of nove...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this contribution consists of an openai gym style wrapper around the sumo traffic simulation package a selection of traffic scenarios that can be run using that package as well as a set of rl algorithms tha...	all the reviewers appreciate the value of the proposed benchmarks the remaining concerns seem addressable i recommend accepting the paper while asking the authors to incorporate the review feedback into the cameraready paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors show that deep convolutional networks restructure the eigenspaces of the inducing kernels which empowers them to learn a dramatically broader class of functions covering a wide range of spacefre...	the paper shows that deep convolutional neural networks in the kernel regime restructure the eigenspaces of the inducing kernels which leads to some insights regarding the range of spacefrequency combinations learned by such networks the reviewers identified a number of problems with the current submission for instanc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is focused on training networks to solve problems via extrapolation eg solving large mazes by learning to solve small mazes in order to achieve this two modifications to recurrent convolutional n...	this is an interesting work and i urge the authors to keep pushing this direction of research unfortunately i feel like the manuscript in its current format is not ready for acceptance the research direction is definitely underexplored which makes the evaluation of the work a bit tricky still i think that some of the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a way to transform data from a source distribution to have characteristics of a target distribution this is accomplished by applying a neuronedit function to the encoding of the input th...	this was a borderline paper as reviewers generally agreed that the method was a new method that was appropriately explained and motivated and had reasonable experimental results the main drawbacks were that the significance of the method was unclear in particular the method might be too inflexible due to being based on...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents the idea of enforcing better condition numbers for innerloops in metalearning frameworks they reformulated metalearning loss as the leastsquare formulation which enables them to easily a...	this paper was quite well received by reviewers with scores of 5 6 6 8 reviewers felt the paper was well written clear and expressed an interesting core idea experimental results compare against maml and show clear improvements the key idea here was inspired by preconditioning and the method here aims to increase adap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies the problem of how to define learning rate schedules when training deep models so that the models better generalize to this end the paper proposes and evaluates a learning rate schedule t...	the reviewers are concerned about the novelty of the proposed learning rate schedule the rigor of the empirical validation and the relationship between the results and the discussion of sharp vs local minima i invite the authors to incorporate reviewers comments and resubmit to other ml venues
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper propose to use a continuoustime normalizing flow and e3equivariant gnn as the differential function in the neural pde for molecular generation experimental results on qm9 and zinc ...	this paper introduces modflow an e3 equivariant normalizing flow for generating molecular conformations a normalizing flow model for molecular systems could be extremely useful since normalizing flows have desirable properties including tractable densities and good sampling behavior the authors demonstrated the effecti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 using the minimax framework to optimize the empirical sum radonnikodym derivatives on the expected rewards is somewhat novel 2 the paper is generally well written and easy to understand 3 this paper pro...	meta review in this paper the authors consider the problem of learning decision rules optimal with respect to some target distribution where samples are drawn from a training distribution that potentially differs from the target distribution the difference between distributions is modeled using a selector variable s ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a deep bayesian model for heterogeneous multiomics data integration the gromovwasserstein fgw regularization between latent representations of heterogeneous views is used to align nodesfe...	a deep bayesian generative model is presented for multiomics integration using fused gromovwasserstein regularization between latent representations of the data views the method removes several nontrivial and practically important restrictions from an earlier method bayrel enabling application in new setups while still...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present a general formulation of different settings in multitask learning including pretraining regimes in a setting where the goal is to get best performance for a prespecified primary ...	after engaging in some good interactive discussions all but one reviewer settled on a rating of marginal accept the most negative reviewer didnt really provide a clear enough explanation of what was lacking in the work the other reviewers felt that the observed gains for this multitask learning framework were clear eno...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work considers the controlled feature selection problem or selecting a small number of important features subject to fdr control the proposed method flowselect builds on the existing literature of cond...	this paper describes how to use normalizing flows for selecting features in a way that controls the type1 error by using a normalizing flow along with mcmc to sample from the null distribution the majority of the reviewers were positive however the most confident reviewer was negative from taking a look at that reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: determinantal point processes provide an efficient and elegant way to sample a subset of diverse items from a ground set this has found applications in summarization matrix approximation minibatch selection...	the paper addresses the complexity issue of determinantal point processes via generative deep models the reviewers and ac note the critical limitation of applicability of this paper to variable ground set sizes whether authors rebuttal is not convincing enough ac thinks the proposed method has potential and is intere...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of active reward learning in reinforcement learning the objective is to design an algorithm that allows the user after limited access to a few reward queries to not only reco...	this paper investigates humanintheloop rl the framework and proposed algorithm allows an agent to reconstruct the reward function and produce a nearoptimal policy after limited access to a few reward queries the primary contributions of the work are the problem formulation algorithm and formal results all reviewers a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a gradual neural network pruning algorithm which utilizes soft topk mechanism for the weight update of maskedunmasked parameters in particular authors adopt the differentiable topk mecha...	all reviewers agree that the paper is clearly written and proposes an algorithm which is both novel and efficient the rebuttal has clarified a number of points and thereby adressed most of the concerns of the reviewers the authors are thus strongly encouraged to take into account the comments of the reviewers and to a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview this paper purports to study training deep equilibrium models by studying the optimization dynamics of deep linear equilibrium models the original deep equilibrium model is formalized as follows g...	the paper analyzes the gradient flow dynamics of deep equilibrium models with linear activations and establishes linear convergence for quadratic loss and logistic loss several exciting results and connections solid contribution accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this works aims at taskoriented finetuning from pretrained imagenet models it proposes a neural architecture search and online adaption framework nasoa to perform fast taskoriented model finetuning the naso...	in this paper a network architecture search nas problem in a changing environment is studied and an online adaptation oa algorithm for the problem is proposed many reviewers found that the oanas problem discussed in this paper is interesting and practically important however many reviewers including those with high rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a dataset and procedure for testing methods that reduce the training sample the data sources are the wellknown cifar and tinyimagenet datasets the authors test how the existing methods be...	there are quite a few problems raised by the reviewers worth paying attention to thoroughness of evaluations performance metrics are difficult to understand and insufficiently justified and described theres also mention of nonperformance related metrics like bias not being adequately considered theres some debate ov...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: inspired by the integrated gradient method in attribution methods the authors propose a new importance metric for pruning an integral of the product between the norm of the parameter weight and its attribut...	novel pruning method based on integrated gradients reviewers agreed that the method is wellmotivated and that the comparisons showcase the potential of this method there are some concerns regarding fairness of the comparisons in terms of flops and parameter count i believe some of the rebuttal answers from the authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests a variational formulation for discovering ode systems in a closedform the main advantage of such a formulation is that it can find the system based on the observed trajectories and some ...	this paper introduces a new technique for discovering closedform functional forms ordinary differential equations that explain noisy observed trajectories xt where the label xt fxt t is not observed but without trying to approximate it the method first tries to approximate a smoother trajector xhatt then relies on a v...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests an interesting approach to knowledge distillation which uses architectural properties rather than the loss function to encourage knowledge transfer between a teacher and a student a stud...	knowledge distillation kd has been widely used in practice for deployment in this paper a variant of kd is proposed given a student network an auxiliary teacher architecture is temporarily generated via dynamic additive convolutions dense feature connections are introduced to cotrain the teacher and student models the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors come up with a loss for kd that encourages not only the correlation of relative differences in scores of the class predictions for an image but also the correlation of the relative differences o...	the paper presents a new kd loss different from the widely used kl divergence for learning from strong teachers who have large gaps between students the authors provide a comprehensive study and improve the challenging benchmarks the contribution is significant to the kd community and ac recommends accept authors may w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes an alternative to l1l2 errors wrt output and one groundtruth example that are used to augment adversarial losses when training conditional gans while these augmented losses are often nee...	the paper presents new loss functions which replace the reconstruction part for the training of conditional gans theoretical considerations and an empirical analysis show that the proposed loss can better handle multimodality of the target distribution than reconstruction based losses while being competitive in terms o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tries to demystify the power of embedding and embedding space trying to connect the structure of learned embeddings and knowledge generation process the authors tested gaussian model preferential...	the authors of this work introduced new metrics for node embedding that can measure the evolution of the embeddings and compare them with existing graph embedding approaches and experimented on real datasets all reviewers agreed that the work addresses interesting problem and that the proposed measures are nove but th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper measures the generalization ability of modelbased agents ie muzero in comparison to modelfree agents the authors identify three key factors for procedural generalization planning selfsupervised r...	the paper evaluates the generalization capabilities of modelbased agents in particular muzero compared with modelfree agents reviewers agree that the paper is wellwritten and the topic is interesting the ablation study is especially interesting as it disentangles the effect of different algorithmic components some conc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an approach to learning user representations based on activity patterns on ecommerce websites and a user profile the method turns activity patterns into a sequence of discrete tokens base...	the paper discusses an extension of bert for learning user representations based on activity patterns in a selfsupervised setting all reviewers have concerns about the validity of the claims and the significance of the experimental results overall i agree with the reviewers that the paper needs more work to be publishe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a method for jointly sampling structure and sequence of antibody loops in an iterative fashion that constrains structure generation less this paper provides an interesting study of an...	this paper proposes use of a novel generative modelling approach over both sequences and structure of proteins to codesign the cdr region of antibodies so achieve good bindingneutralization the reviewers are in agreement that the problem is one of importance and that the technical and empirical contributions are strong...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel model perturbationbased method for the sourcefree domain adaptation sfda problem under the mild assumption the authors connected their variational model perturbation with the bay...	this paper proposes a novel probabilistic framework for sourcefree domain adaptation in which the source model serves as the invariant part mean while a perturbation variance is applied to the source model parameters to derive the target model that accounts for the targetspecific distribution all four reviewers provide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a general theoretical framework for inference learning to this end the authors propose the generalized inference learning gil algorithm they are then able to show that gil closely approx...	this paper presents an interesting connection between stochastic gradient descent by backpropagation and the inference learning algorithm for predictive coding the key result is that inference learning approximates implicit gradient descent rather than explicit sgd as normally implemented the implicit methods perform c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents clue for crossmodality representation learning from incomplete observations using the crossencoders specifically the focus of clue is to learn comprehensive representations from datasets...	in this paper the authors propose clue crosslinked unified embedding to construct multimodal representations from modalityincomplete datasets and apply clue to the singlecell data integration problems the proposed method is simple yet effective and shows the superior performance over stateoftheart methods all reviewers...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an interesting problem where only a small sized labeled data set is available for supervised learning this approach is different from the existing deep learning benchmarks which either a...	all reviewers agreed on the major shortcomings of this submission the most important of which is that the contributions are insufficiently evaluated there was no author response
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors analyze the classimbalanced learning problem through the lens of the loss landscape specifically they examine the spectral density of hessian of classwise loss in which they observe that for th...	the paper studies the problem of saddle point escape for class imbalanced datasets and mostly makes two contributions from my perspective 1 analysis of the spectral density of the hessian for classimbalanced datasets this observation is novel as far as i know 2 a short analysis of sam demonstrating it escapes saddle po...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: implicit bias of adversarial training for deep neural networks explores how minimizing the exponential loss ie lx ex of a homogeneous neural network ie a neural network such that f al wl circ sigmal circ...	the paper is a nice addition to the developing theory of implicit bias in neural training while the results are somewhat expected the technical aspects are fairly involved due to the adversarial component
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i the literature reports a large body of work that focuses on minimizing the tradeoff between accuracy and fairness and between accuracy and privacy there is relatively little work that focuses on the inter...	meta review the paper studies the intersection between fairness privacy and accuracy reviewers are overall positive about the novel insights that the paper provides minor concerns are well covered by the rebuttal
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes bootstrapped transformer which uses bootstrapping to selfgenerate more offline data to improve sequence model training of trajectory transformer in offline rl setting the authors study a...	summary offline rl rl algorithms aim to learn policies without interacting with an environment purely from the state and actions covered in the offline datasets however in realworld datasets the coverage can be insufficient to learn good policies thus it is an important research direction to improve the sample efficie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: note i have reviewed a previous submission of this paper at a previous conference this paper continues a recent line of work aimed at identifying relationships between many different vote distributions whe...	this paper works to identify relationships among different vote distributions this is done by applying previously introduced frequency matrices to the vote distributions themselves and gives formula or algorithms for computing these the resulting map of elections seems to have especially strong realworld potential
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposed a systematic framework of unsupervised domain adaptation for time series data with various model selections and strategies strength include extensive baseline for the experiment opensou...	this work aims at giving a systematic evaluation of different unsupervised domain adaptation methods on time series classification tasks under a fair setting by providing extensive experiments on various datasets competitive baselines and model selection approaches this paper has the potential to facilitate future rese...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper propose a platform safebench for the safety evaluation of avs they claim this platform is the first of its kind testing 8 different safety critical scenarios additionally different...	the paper addresses a muchneeded benchmark for the safety of autonomous driving all reviewers recognize the significance of the papers contributions most of the questions have been addressed satisfactorily by the rebuttal overall all reviewers are positive about the paper and recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new type of generative models with a new inference method of latent variables specifically the gradient of latent variables with respect to zero vector is taken as the inferred latent ...	this paper presents a new inference mechanism for latent variable models by taking the derivative of loglikelihood with respect to a zerovalued vector initially the reviewers raised concerns mostly regarding the limited experimentation and missing baselines however in the revised version the authors addressed most of t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper can be seen as a modification of sac in a multiagent setup by adding the conditional entropy hpiipij as a second set of regularization on top of hpii the overall idea and intuition appear to be i...	overview this paper introduces a maximum mutual information method for helping to coordinate rl agents without communication discussion some reviewers leaned towards accept but i found the two reviewers recommending rejecting to be more convincing recommendation this is an important research topic and im glad this pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of answering firstorder questions more on the terminology later that correspond to a single fact in a knowledge graph kg and focuses on the crossdomain setting where no curate...	this paper studies the problem of simple question answering over new unseen domains during test time a domain adaption framework and a seq2seq question generation method have been proposed to tackle this problem and demonstrates significant improvements over the previous baselines all the reviewers agreed that this pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the introduction of highquality image generation models particularly the stylegan family provides a powerful tool to synthesize and manipulate images however existing models are built upon highquality hq da...	qcstylegan provides a controllable way of generating images with certain types of corruption generating corrupted images has many applications because they are common in realworld situations so having the ability to generate samples from distributions with controllable corruptions is a powerful idea the reviewers gener...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper notes that universal successor feature approximators usfa psisaz here z is the policy vector exploits the smoothness of optimal value functions across different tasks but its approximation error c...	the reviewers agree that the paper is a valid contribution to the line of research on successor features sfs and generalized policy improvement gpi they also agree that the paper is well written and easy to follow three points that may be worth taking into account when preparing the final version of the paper all rela...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission studies how the choice of activation function impacts the reproducibility of experiments involving deep networks it proposes a new activation function with the goal of designing a smoothed r...	all reviews were negative for this paper due to various issues i think the main issue was that the experimental results were too weak to be convincing for example the reviewers were not sure if the differences in performance between different activations are significant the reviewers also required more datasets and mor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: qualityproposed method is significantly more practical both in terms of ease of implementation and speed than prior related work for minimizing combinatorial losses the papers exposition needs to be improve...	this paper received high variance in the reviews i personally agree with anonreviewer4 that the theoretical results presented in this paper are wellknown results on the sensitivity analysis of linear programs see for instance introduction to linear optimization by bertsimas and tsitsiklis chapter 5 more generally the...
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 paper claims that training policy and value networks separately for actor critic algorithms like ppo or ppg can lead to overfitting of the value network in procedural generalization tasks like procgen ...	all reviewers were in favor of acceptance and after reading the paper myself i am in agreement the empirical results were good and the experimental work quite comprehensive the method is well explained and the writing is clear and easy to read the only real detraction i saw distinct from things already mentioned by rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary and contributions the paper presents an empirical study of the open set image recognition osr problem it considers two classification setups singledomain and crossdomain and one semantic segmentat...	the addresses openset recognition namely detecting anomalous samples that belong to classes not observed during training it has been shown that existing methods fail on openworld images the current paper shows empirically that performance can be greatly improved if based on lowdimensional features reviewers had grav...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary the paper gives theoretical proof showing that the recently proposed data augmentation technique mixup can indeed improve generalization and help in robustness the theorems cover glms and cert...	this paper provides theoretical justifications on why the data augmentation technique mixup convex combinations of pairs of data examples can help in improving robustness and generalization of glms and relus the authors rewrote a mixup loss function as the summation of a standard empirical loss and some regularization...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper looks at the setting where the goal is to learn a policy without access to a reward from the environment with access only to feedback previous work xie et al 2021 assumes that the feedback does no...	this paper addresses the problem of learning to behave optimally when actions result only in new observations but no rewards feedback is provided in the shape of a vector this problem known as igl has already been described in previous works which had to make the assumption that the action was not included in the feedb...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper examines kernelized online optimization problems and propose to tackle the problem by some generalization of primaldual techniques the techniques developed in this paper looks plausible but i am ...	the paper provides new techniques algorithmic as well as analytical to solve black box optimization of smooth functions with constraints the reviewers are largely in favor of the papers contributions and the author responses have helped to clarify several aspects of the presentation and connections to existing work the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this papers uses the label hierarchy to drive the search process over a set of labels using reinforcement learning the approach offers clever and promising techniques to force the inference process in struc...	this paper presents a reinforcement learning approach to hierarchical text classification pros a potentially interesting idea to drive the search process over a hierachical set of labels using reinforcement learning cons the major concensus among all reviewers was that there were various concerns about experimental r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of continual learning on semantic segmentation the authors propose two simple ideas to improve the architecture using shared but wider convolution modules introd...	this paper deals with continual learning in semantic segmentation authors introduce wider convolution at final feature extraction layer and apply dropout to limit the overcompression issue no reviewer was convinced by the approach and they have raised many issues including model design choice training protocol and m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the inconsistency problem in lola each lola agent assumes the other agent as a naive learner resulting in lola agents not converging to sfps in some games this paper aims to address ...	the main contribution of this paper is that it points out incorrect claims in the literature of multiagent rl and provides new insight on the failure modes of current methods specifically this paper investigates the inconsistency problem in lola meaning it assumes the other agent as a naive learner thus not converging ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 summary the authors proposed the negative data augmentation technique which is useful for generative adversarial networks anomaly detection selfsupervised learning frameworks the idea is simple and the ...	all reviewers find the proposed data augmentation approach simple interesting and effective they agree that paper does a good job exploring this idea with number of experiments however the paper also suffers from some drawbacks and reviewers raise questions about some of the conclusions of the paper in particular how ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors train a neural network to do object recognition on downsampled moving images of objects they show that by using a recurrent neural network in the early layers it can learn to produce representa...	this paper explores the idea that fixational drift of a sensor over an image something that primate eyes do could be used to achieve visual hyperacuity ie image recognition with low resolution images equivalent to what would be achieved with high resolution images the authors construct networks where the bottom of a de...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the problem of sensor fusion where multiple possibly differing sensor modalities are available and neural network architectures are used to combine information from them to perform predi...	the paper builds up on the gated fusion network architectures and adapt those approaches to reach improved results in that it is incrementally worthwhile all the same all reviewers agree that the work is not yet up to par in particular the paper is only incremental and the novelty of it is not clear it does not rel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main result of the paper is an upper bound on the rademacher complexity of neural networks in the case of adversarial examples meaning analyzing it with respect to the robust loss class previous bounds...	the paper made a solid theoretical contribution on the adversarial generalization bounds of multilayer neural networks however the paper at the current form has many issues in the claim that the product of the norm can explain the generalization gap 1 weight decay the authors uses the weight norm as the proxy for ge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a neural network based contextual bandit algorithm in the offline setting where a dataset of contexts and rewards are given by a logging policy the goal of the proposed algorithm is to l...	this paper studies offpolicy learning of contextual bandits with neural network generalization the proposed algorithm neuralcb acts based on pessimistic estimates of the rewards obtained through lower confidence bounds neuralcb is both analyzed and empirically evaluated this paper received four borderline reviews whic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper looks at the problem of combining local and global explanations to provide more effective explanations specifically they consider the use of highlights which provides policy summaries in the form ...	the paper looks at local and global explanation methods for explaining the behavior of rl agents the problem being addressed is very interesting and can lead to fruitful discussions in the workshop nonetheless as pointed out by the reviewers the paper has many flaws with respect to its presentation technical descripti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to speed up inference of deep equilibrium models deqs by replacing the classic fixedpoint solvers broyden or anderson acceleration by a learned extension of aa their approach operates on ...	the authors introduce a neural network approach for solving the fixed point equations arising in deep equilibrium models this consists of a tiny network that provides an initial guess for the fixed point as well as a small network that computes coefficients inside an algorithm inspired by anderson iteration overall th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a federated learning algorithm called fedprof by using a training rule that updates the model based on divergences between data representation strenth i personally like the style of th...	this paper proposes a federated learning method called fedprof that adaptively selects different subsets of the clients data in training the global model there were several concerns brought up in the reviews and discussion the multivariate gaussian with identity covariance assumption on the neural network representatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the author goes over the mapping challenges proposed by the w3c kgc working group and for each discusses support in shexml the mapping challenges are categorized based on whether they were already supported...	the four reviewers agreed on the relevance of the presented work for the paper we would encourage the author to look into the comments provided eg research questions vs engineering problems and include them in the cameraready version of the paper consider that the paper can be extended until 15 pages for sure this work...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the problem considered in the paper is both well motivated from an application perspective and interesting from a theoretical lens 2 the proposed algorithms are appropriately described further performanc...	meta review this paper considers a variant of the online bipartite matching problem and proposes corresponding algorithms with guarantees on their competitive ratio the reviewers are all positive about this paper the paper could be more complete if some empirical analyses were provided
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper highlights and studies the interesting possibility of hiding information within neural network weights which is a form of steganography the sensitivity of different neural network layers to pertu...	this work presents an original analysis of using the weights of a neural network as a medium on which to hide information although the paper offers a novel perspective its motivation and applicability remain unclear as reviewer 3 points out the proposed method does not seem very practical for any particular application...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a platform for audiovisual simulation that can be used for audiovisual rendering the paper also presents a dataset called soundspacespanoir for acousticvisual learning tasks the simulatio...	this paper was reviewed by six experts and received all positive scores ac feels this work is interesting and deserves to be published on neurips 2022 dataset track the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper the authors are encouraged to make th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the idea of learning feature maps for spatially adjacent slices is simple and general the reported results are very competitive and were achieved on public datasets the manuscript is clearly written and e...	the reviewers find the work of interest and there was initial consensus that the paper can be accepted this was confirmed after the rebuttal
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a new perspective on adaptive gradient methods main contribution is a trust region based algorithm they call stochastic ellipsoidal trust region method thats flexible to include both full an...	the paper considers adaptive stochastic optimization methods and shows that they can be reinterpreted as first order trust region methods with an ellipsoidal trust region they consider a related second order method and they show convergence properties and empirical results the results are of interest but the significa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles an important concern when it comes to pacbayes bounds ie the fact that such bounds apply to the risk of a stochastic predictor rather than a deterministic one the authors propose bounds on...	the paper extends results from the recent work of steinke and zakynthinou sz for the test loss of randomized learning algorithms they provide bounds in the single draw as well as pacbayes setting the main result is about fast rates the proof of which follows with minor modifications from the corresponding result in sz ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the robustness of machine learning models this paper proposed to use targeted adversarial attacks to increase the robustness of the model specifically the approach uses the semantic differ...	the paper proposed to use the semantic difference between the predictions and labels to quantify the severity of mistakes which is used to generate targeted adversarial attacks to improve the robustness of the model the idea is interesting in general and the proposed methos is straightforward and easy to use please try...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors tackle the problem of zeroshot learning that is the recognition of classes and categories for which no visual data are available but only semantic embedding providing a description of th...	this paper presents work on zeroshot learning the reviewers appreciated the simplicity of the method and its clear exposition however concerns were raised over novelty motivation and empirical validation after reading the authors response the reviewers remained of the opinion that these concerns have not yet been ad...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors propose the continual memory cm targeted towards a reasoning scenario called reasoning after memorization the main goal of cm is to enable longterm memorization as oppose...	this paper proposes an approach to allow a neural network to memorize and reason over a long time horizon experiments on synthetic datasets question answering and sequence recommendation are presented to evaluate the proposed method the paper addresses an important problem of processing long sequences however all re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes two simple modifications of the sam optimizer that allow to significantly improve its computational efficiency without sacrificing performance this is a nice paper that is well written an...	this paper focuses on improving the efficiency of sharpnessaware minimization method for training neural networks the proposals are stochastic weight perturbation namely selecting subset of the parameters at any step and sharpnesssensitive data selection the philosophy behind sounds quite interesting to me namely sharp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work extends to zhou et al 2019 and ramanujan et al 2019 to allow sign flipping in the supermasks without updating the magnitudes of weights the main technical contributions are the new thresholdingbas...	this paper builds on previous work on supermasks it proposes to replace binary masks by a signed supermask ie a trainable trasholdbased mask that can take values from 101 this change in combination with the use of elus activation functions and an elus specific initialization strategy leads to a significantly higher pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors explore the relationship between 4 different brain regions multidemand network language network visual system auditory system and different features of program code specifically the...	this paper aims to relate brain activity of people reading computer code to properties of the computer code they relate the found representations to those obtained from ml computational language models applied to the same programs the paper is clearly written and an interesting idea there was a lot of discussion and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the domain adaptation problem when the source data comes from multiple domains continuously and the test domain for adaptation is unknown the assumption used for domain shift is that the ...	this paper presented an online continual learning method where there may be a shift in data distribution at test time the paper proposes a conditional invariant experience replay cier approach to correct the short which matches the distribution of inputs conditioned on the outputs this is based on an adversarial traini...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies varianceadaptive linear bandits and linear mixture mdps this paper improves significantly upon regret bounds obtained in the previous work by zhang et al 2021 to achieve this they improve...	this paper gives the first minimax optimal up to log factors and horizonfree for linear mixture mdp and improved variancedependent bound for linear bandits furthermore the paper developed a new peelingbased analysis that can be useful for other problems these contributions make this paper a strong paper in the theoreti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a transformer architectural variant the motivation of this variant is that it contains a sliding language modeling objective for sentence scoring that enables it to look at all the token...	this paper proposes a transformer architectural variant the motivation of this variant is that it contains a sliding language modeling objective for sentence scoring that enables it to look at all the tokens in a sentence using bidirectional context in a single pass this solves the issue of using standard causal langua...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims to learn an autoencoder that can be used to effectively encode the known attributes generative factors and this allows easy and controlled manipulation of the images while producing realistic...	the paper proposes a new way to tackle the tradeoff between disentanglement and reconstruction by training a teacher autoencoder that learns to disentangle then distilling into a student model the distillation is encouraged with a loss term that constrains the jacobian in an interesting way the qualitative results with...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose relational proxies a novel approach that leverages the relational information between the global and local views of an object for encoding its semantic label i think the main novelty c...	this paper proposes a novel approach for finegrained image recognition which utilizes the relational information between the global and local views of an object it is a reasonable and important finding that not only representing local parts but relating them are critical to establishing superior performance the autho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors focus on the design and analysis of graph scattering networks with variable branching ratios and generic functional calculus filters spectrallyagnostic stability guarantees for nod...	in the discussion we reached a clear consensus that this paper is interesting for the neurips community and should be accepted the authors rebuttal and subsequent discussion were very useful and we are looking forward to the final version of the paper with the promised improvements implemented
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach architectbuilder iterated guiding a method that tackles what is presented as an architectbuilder problem a scenario in which two actors an architect with knowledge of a hig...	this paper proposes a cognitive scienceinspired interaction setting between two agents an architect and builder in which the architect must produce messages to guide the builder to achieve a task unlike other related settings such as typical approaches in marl hrl or hri the builder does not have access to the architec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper incorporate the popular contrastive with unsupervised learning from video specifically multiple frames from the same video is used as positive pairs and frames from different videos is viewed as ...	this paper was a difficult decision overall it seems to be a quality paper well written and with many experiments in particular evaluating learned representations across various tasks and datasets the authors were also quite courteous in their replies which is appreciated i really like the point the paper makes about v...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel generalisation measure ie measurement that indicates how well the network generalises based on pruning the idea is to measure the fraction of the weights that can be pruned either...	summary the authors propose to predict a neural network classifiers generalization performance by measuring the proportion of parameters that can be pruned to produce an equivalent network in terms of training error experimental and theoretical evaluation are provided discussion the overall opinion in reviews was th...
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 adding entailment relations in an eventuality activities states events kg the main contribution is a pipelined unsupervised method for this problem the method is divided...	this paper proposes a novel framework for acquiring eventuality entailment knowledge to construct a knowledge graph the multistep construction process is well explained and has clear justification however the paper could be stronger if it expands more on convincing audience that such knowledge graph is a useful represe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents a method to decompose scenes into its constituent objects this is done with a generative framework that generates both bounding boxes and segmentation masks for each object it re...	the paper has good contributions to a challenging problem leveraging a fasterrcnn framework with a novel selfsupervised learning loss however reviewer 4 and other chairs in calibration considered that the paper does not meet the bar for acceptance the other reviewers did not champion the paper either hence i am proposi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an approach for softlabeling test data for testtime adaptation tta purposes based on conjugate pseudolabels motivated by the result that metalearning the tta objective given test time la...	all reviewers agree this paper presents a novel and principled approach to test time adaptation losses all reviewers find the paper clearly written and contributions meaningful i suggest acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a theoretical analysis for sequential training based on related ntk results it shows the similarity between the target functions is a key factor for forward and backward transfer and wh...	after carefully reading the reviews and rebuttal i believe this work is of sufficient quality for acceptance understanding continual learning from a theoretical stand point is a very important topic i find that one of the main issue raised by reviewers was about the exact meaning of continual learning and whether what ...

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