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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes omnivl a visionlanguage foundation model that supports both imagelanguage and videolanguage pretraining in a unified framework the model allows for evaluation of visiononly tasks multimo...	after the authors rebuttal and long discussion between reviewers and authors the paper unanimously receives positive rates thanks to reasonable proposed ideas and thorough experiment evaluation the cameraready version may need to be updated to fully reflect reviewers comments and authors answers to them
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents numerous empirical facts about the distribution of the weights after training a neural network the authors considered one fcnn one cnn and one resnet and computed several statistics on t...	this paper provides some empirical investigation of the choice of the prior distribution for the weights in bayesian neural networks it shows empirically that when trained via sgd weights in feedforward neural networks exhibit heavytails while weights in convolutional neural networks are spatially correlated from this ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the claim of this paper is casting training neural networks with batch normalization to a convex program solvable in polynomial time the convex reduction sparks an implicit regularization of batch normaliza...	the authors rely on the recent convex formulation of neural network training to establish an interesting correspondence between whitening of input data and batch normalization after and before relu while convex formulation is not scalable to realistic architectures it is a great insight that would add value to our unde...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work provides a way to investigate the modular structure of the deep generative model the key concept is the distribute over channels of generator architectures strong points 1 using the causality to i...	this paper explores an interpretation of generative models in terms of interventions on their latent variables the overall set of ideas seems novel and potentially useful but the presentation is unclear the goal of the method seems poorly defined and the qualitative results including the videos are unconvincing i rec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper looks at the inverse problem of finding the some initial state given a final state of a physical system it proposes training neural networks to predict the initial state for a given final state t...	the paper introduces a method to solve inverse problems given y find x such that pxy for a given physical simulator p a standard approach is to learn a neural net such that the inverse xnnytheta the authors state that this is problematic because it is difficult to take higher order gradient information into considerati...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present ver a method that could both tackle the challenge in synchronous rl that the policy updates need to wait for all steps done in all environments straggler effect and the challenge in asyn...	the paper proposes a novel method that takes the best of both worlds synchronous and asynchronous onpolicy rl methods the rebuttal nicely addressed the concerns of most reviewers why the method makes sense and has benefits is rather straightforward and intuitive which is a good thing the paper is clearly an experimenta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an embedding method for graphs denoted as wegl the method operates by first representing each graph as a set of vector representations of its nodes secondly an optimal transport map is c...	this paper proposes a novel and interesting embedding of graphs emulating the wasserstein distance the experiments are good and the authors did a detailed answer taking into account the comments of the reviewer the responses were appreciated and the ac recommends the paper to be accepted
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an additional loss term to use when training an lstm lm the authors argue that intuitively we want the output distribution to retain some information about the context or past given th...	the paper proposes an additional module to train language models adding a new loss that tries to predict the previous token given the next one thus enforcing the model to remember the past two out of 3 reviewers recommend to accept the paper the third one said it was misleading to claim sota since authors didnt try the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the robust formulation of the selfsupervised convolutional subspace clustering network in order to handle the data corruptions the correntropy induced metric cim of the error is embedded...	the paper proposes a robust formulation of deep subspace clustering dsc based on the correntropy induced metric cim of the error all three reviewers recommend rejection their major critiques are limited novelty insufficient experiments and similar performance to nondeep methods the rebuttal highlights that the novelty ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in the given paper the authors propose a novel biclustering algorithm for dyadic data based on optimal transport ot and the block seriation problem their main contribution can be summarized as the formulati...	the reviewers discussed strengths and weaknesses of the paper one potential issue to which the authors answer was rather unhelpful was resolved by a reviewer running the experiments with higher precision output reviewers were mostly convinced by the strong empirical improvements
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work is focused on efficient learning of nm sparsity from scratch finding the optimal nm sparsity pattern is characterized as jointly solving a series of combinatorial problems with finite collections ...	the paper presents a novel method on training nm sparseweight neural networks which can be significantly accelerated by nvidia a100 gpus the optimal nm pattern can be found via jointly solving a series of combinatorial problems with finite collections of candidates majority of the reviewers found the paper the ac bel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a macro search space which allows blocks in a model to be different to promote performance to provide a systematic study of the performance of nas algorithms in a macro search space name...	this paper introduces a new nas benchmark with 95k architectures evaluated on a single dataset criticisms were quite diverse including the novelty and design of the search space the use cellbased baselines with much smaller search spaces the limited number of algorithms being benchmarked and the limitation to a single...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the dataset involves instancebased annotations which would be valuable for the community in addition the authors commit themselves to opensource the dataset and codes for reproducibility 2 novel backbone ...	the reviewer praises the creation of this potentially very valuable dataset and while there are some shortcomings in the presented benchmarkbaseline results i believe these will be quickly addressed by the community if the data becomes more widely used midl aims to give some space for the presentation of open source da...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the phenomenon of double descent also referred to as more data hurts in high dimensional linear regression using the least square estimator in the same setup previous sharp results ...	this paper derives clt type results for the minimum ell2 norm least squares estimator allowing both n and p to grow pros as one reviewer puts it asymptotic confidence intervals for different prediction risks are derived these results seem new cons its not clear what has been gained by having these results other than...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes that decoupling feature representation and classification is not the optimal solution for the longtailed recognition problem they propose to train the model with instancebalanced samplin...	reviewers were concerned about the technical novelty because the twostage sampling strategy is similar to bbn and the decoupling of features and classifiers rebuttal addressed some concerns about the experiments but reviewers major concerns remained
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quantile regression is frequently used as an alternative to conventional regression an important advantage of quantile regression is that provides enough flexibility to capture the whole conditional distrib...	this paper proposes a conditional quantile generative model using optimal transport although the problem addressed in this paper is interesting and important the proposed convex potential quantile cpq approach is highly relevant to a recent work carlier et al 2017 due to the lack of clear explanations of the contributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe authors propose a simple intrinsic reward for textbased games in the absence of environment rewards the method goalrand is based on uniformly sampling random goals from a set of natural language g...	this paper proposes intrinsic rewards to train agents without environment rewards in textbased games the key contribution is a goal generation method that samples random goals from a set of valid goals in natural language which are obtained based on commonsense rules reviewers generally agree that the proposed method i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose an algorithm named constrained pessimistic policy optimization cppo for offline reinforcement learning and pac guarantees are provided for many specialized markov decision processes under...	in this paper the authors consider the offline rl with only realizability and partial coverage assumption under which a modelbased pessimistic policy optimization algorithm has been proposed and rigorously justified moreover variety of special mdp models including kernelized nonlinear regulator and linear mixture mdp h...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors contribute an author verification binary classificationsame author or different author and authorship identification 10way classification based on 10 most common contributors dataset centered ar...	this is likely an important dataset for the development of forensic tools for the dark web at the same time it presents a balancing act between making this dataset available and avoiding nonethical use the authors do go a long way in addressing these concerns and most reviewers also feel that their other concerns are a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a complicated system for driving simulation and apparently a great a mount of work was involved i found it interesting to read the technical details and interview comments the system con...	there is a concern if gi is the right venue for such a contribution and whether the authors will benefit more from submitting this to a more apt venue that said all reviewers agree that the contribution has merit for acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper reinterprets the theory of ppoclip based on the hinge policy optimization they prove the global convergence of ppo by introducing some assumptions besides they generalize the algorithm to a new ...	all reviewers agreed that analysis of ppo is interesting during the discussion however there was an agreement that the current work is too thin in novelty and contribution it provides only convergence analysis under very strong assumptions and heavily builds on techniques from prior works meanwhile for conventional po...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an autoencoderbased outlier detection system the main idea of the paper is to ensure that outlier points are mapped to areas distant from the inliers in the embedding space to this end a ...	in this paper a data mapping method to a latent space designed for outlier detection is proposed outlier detection by latent space mapping has been extensively studied in the literature unfortunately this paper does not fully discuss the relation of the proposed method with a large amount of existing literature and lac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the idea of this paper is simple but fascinating actually there are many studies concerning the task of point cloud completion but using it as the initialization approach to improve the other tasks is quiet...	the paper proposes an unsupervised pretraining approach for 3d recognition which is based on point cloud completion the initial review receives a mixed rating with two reviewers rate the paper below the bar and two above the bar after the rebuttal r3 changes the opinion from above the bar to a rejection recommendation ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors proposed to use nonparametric methods for sampling data point for contrastive learning the main concern of the paper is to limit extraction of any undesired information from the data authors propose...	the reviewers all acknowledge the importance of the paper as it addressed the challenge of the insufficient data problem in conditional contrastive learning feeling that the idea was novel the experiments verified the effectiveness of the model well and the paper is well written reviewers also raised some good question...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper illustrates an adaptive based data augmentation method named as adaaug that searches adaptive augmentation policies in a classdependent and potentially instancedependent manner to improve the gen...	reviewers agreed that this work is wellmotivated and presents a novel approach for data augmentation around the adaptive augmentation policies there were some concerns around the lack of ablation studies and unclear performance improvements which were addressed well by the authors responses thus i recommend an acceptan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the medical argument is convincing the problem is interesting since it requires to account for intensity and geometry at the same time a relevant geometrical criterion is proposed despite fuzzy or qualitati...	all reviewers agree that the weaknesses of this work outweigh the few positive aspects and thus the paper cannot accepted in the current form no rebuttal or revision was provided
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presented statenoisy markov decision process snmdp where there is a noise generating mechanism either from the environment noise or from the adversary and the theoretical properties such as conver...	description of paper content a mixed theoretical and experimental paper that investigates the robustness of distributional rl to perturbations of state observations as compared to expectationbased value function learning they provide sufficient conditions for tds convergence and prove the lipschitz continuity of the l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a link between compressed sensing nonparametric learning and deep classification networks by formulating classical compressed sensing results in context of deep learning the authors propo...	this paper proposes a learning framework for deep generative modeling called nonparametric learning by compression with latent variables npclv with a strong theoretical support the results on image classification benchmarks look compelling and promising its impressive that this unsupervised approach achieves strong res...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method for polyphonic pianobased symbolic music generation based on previous work on rltuned recurrent networks this paper adds an adversarial inverse reinforcement learning airl step ...	this work proposes a system for generating piano music in the symbolic domain using a learned reward function reviewers raised concerns about the organisation of the paper clarity of writing a lack of experimental comparison with previously published approaches and the quality of the baseline several unsubstantiated cl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a special version of autoaugment to search classwise data augmentation policies for eeg data the main contribution of this paper is a novel differentiable relaxation algorithm on eeg dat...	this paper is close to the borderline but i think it is good enough that i recommend its acceptance although there were some problems raised by the reviewers the authors managed to successfully address a majority of them having said that i still recommend that the authors carefully analyze the reviews again and make su...
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 distributed algorithm that converges linearly to the statistical precision for highdimensional linear regression problems strengths 1 overall this is a good paper the in...	this paper studies the problem of highdimensional linear regression in a decentralized setting a distributed algorithm incorporating socalled double mixing with decentralized gradient descent is proposed that converges linearly to statistical precision in the regime where the problem dimension is much larger than the n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is clearly written with a detailed and extensive literature review in the introduction the method does not have to many details on the standard machine learning technique but the general concepts ...	this paper presents a deep learning algorithm for fitting a topologically correct white matter surface by deforming a template surface to fit to the individual reviewers agreed that the paper was well written with some comments that some aspects of the methods and the motivations could be clearer in general all agree ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a system for training large language models on hardware connected over the public internet and distributed around the world this is a difficult problem eleutherai writes that doing volun...	all of the reviewers felt that this is a strong submission the paper gives a new novel approach for scheduling decentralized training tasks this will be of general interest to the community
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a gan architecture and training methodology where a generator is trained to generate micro patches being passed as input a latent vector and patch coordinates micropatches generated for ...	the paper introduces a gan architecture for generating small patches of an image and subsequently combining them following the rebuttal and discussion reviewers still rate the paper as marginally above or below the acceptance threshold in response to updates anonreviewer3 comments that ablation experiments do make the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: cool and plausible variation on bmf that nobody has taken a crack at before those arent easy to find i would feel a lot more positive about this paper if i could think of more applications from which i co...	meta review in this paper the authors propose a new probabilistic model for boolean matrix factorization bmf including a bias all reviewers consider that this paper is well written and the problem definition is clearly defined and the authors also address the concerns of reviewers after the rebuttal
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to unify the successes of hyperbolic graph convolutional networks gcn in modeling hierarchical structures and spherical manifolds in modeling cycles the authors generate a diffeomorphism psi from pseudohype...	this paper is about using certain types of noneuclidean spaces for representations the background context for the paper is roughly the following hyperbolic spaces have been recently popularized for embedding treelike data these are one of the three types of socalled constant curvature riemannian manifolds more recently...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel algorithm for optimization on multiple manifolds the moving direction fuses gradient information from each manifolds via correlation more importantly the convergence is guaranteed...	the paper describes a constrained optimization strategy for optimizing on an intersection of two manifolds unfortunately the paper suffers from generally weak presentation quality with the technical exposition seriously criticized by two out of the three reviewers the single positive review is too short and devoid of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a learnt grasp evaluation model that can be used for automatic topdown grasp annotation the grasp evaluator is trained using features such as physicsbased metrics as well as posteriori me...	the paper proposes a set of grasp evaluation metrics and a learned grasp evaluator to automatically assess grasp quality leading to also an automatic way of annotating twofingered grasps the strengths of the paper are the combination of physicsbased prior and experimentalbased posterior metrics for grasp evaluation ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the optimization problem for odm and proposes a distributed method for solving the problem the authors prove its convergence to the optimum and show some experimental results comparing t...	while some of the reviewers find that the paper proposes a solid contribution to a problem i will tend to agree with other ones that the proposed approach has limited novelty and limited potential for improvement over baselines in addition simulations are pretty weak due to lack of comparisons to strong baselines and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is proposing to evolve datasets of inputs outputs in the context of programming by example pbe where the goal is to infer a computer program that is consistent with the association of inputs outpu...	the paper uses adversarial data to improve generalization in programming by example pbe the reviews were somewhat mixed with some people finding this useful and interesting while others finding it straightforward and unsurprsing the reviewers were not convinced of the ultimate usefulness of the approach since it is eva...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a backdoor benchmarking framework it includes several basic and current attacks and defenses that target a models integrity during the training phase of a model the paper includes evaluat...	this is a valuable benchmark on backdoors most reviewers argue for acceptance some strongly so with scores 7789 while only one reviewer gave a rejecting score that reviewer mostly questioned the relationship to trojanzoo and the authors discussed this comprehensively now that reviewer rpfc also was inactive during the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes relational languageimage pretrainingrlip a pretraining paradigm for humanobject interaction hoi detection this paper posits that this pretraining methodology aims to overcome the gaps le...	this paper proposes a freeform relational languageimage pretraining for hoi detection which demonstrates advantageous performances on zeroshot and fewshot settings all reviewers give consistent positive scores after the discussion phase the authors have added more experiments on coco different backbones and pretraining...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a system to classify dance figures using a wristworn device exploring a number of different classifiers and incorporating prior knowledge about dance to improve overall performance wea...	this paper initially received three negative reviews 444 the main concerns of the reviewers included limited methodological novelty and an oversimplistic experimental setup the authors did not submit their responses as a result the final recommendation is reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i think the authors do a great job at explaining the concepts in a well structured way and helping a reader like me who barely knows the basics i think atleast i learnt some concepts about imprecise markov ...	meta review all reviewers agree that the topic and the results are interesting and that the authors paid a lot of effort into making the paper understandable in the given space the paper clearly makes a quite strong technical contribution that is however difficult to summarise in 7 pages the ensuing criticism is that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: consider the task of mhmcmc on a ebm defined over discrete state space gz proposed a kernel which evaluates the energy function over a hamming ball surrounding the current state and gwg improved the effic...	this paper provides a novel path auxiliary algorithm for more efficiently exploring discrete state spaces within a metropolishastings sampler for energy based models in particular it essentially replaces the single site update by instead proposing an entire path using local information thus enabling the chain to take l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a method of aligning the support of one distribution to another this is important as for domain adaptation problems distributional alignment can come with a lot of problems such as mov...	thanks for your submission to iclr three of the four reviewers are ultimately particularly after discussion very enthusiastic about the paper and feel that their concerns have been adequately addressed the fourth reviewer has not updated hisher score but has indicated that their concerns were at least somewhat addres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to study time evolving heterogeneous data and proposes continual federated learning cfl to address this problem their analysis achieves this by introducing timedrift to capture data hete...	this paper proposes continual federated learning cfl to study time evolving heterogeneous data to do this the authors introduce timedrift to capture data heterogeneity across time the authors also present some preliminary convergence results finally the authors carryout numerical experiments in timevarying and heteroge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper brings into light a new perspective where the well known fedavg algorithm can be modeled as expectation maximization this reveals certain characteristics about federated aver...	the reviewers agree that the em perspective of federated learning is novel and interesting however a common criticism is that the connection made is rather shallow and not sufficiently developed there look to be quite interesting potentials of the proposed framework and the specific fedsparse method but i agree with th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides an analysis of emergent communication behavior at scale and discusses training techniques to reduce instability during rl optimization strengths emergent communication has classically ...	this manuscript expands the range of recent work in reinforcement learning for language games to much larger and more realistic datasets a timely and relevant contribution and one that is well evaluated further work in stabilizing rl approaches for such largescale problems is likely to have other farreaching consequenc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written thorough and tackles an interesting problem i believe it could serve as an important foundation for future work on irl in more complex domains with more realistic constraints in...	meta review the paper proposes a new inverse rl technique that takes into account hard multistate combinatorial constraints this is a nice contribution that advances the state of the art since most inverse rl techniques do not take into account any constraint the authors are encouraged to follow the suggestions of th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces the reddit photo critique dataset rpcd a new dataset of 74k highresolution images and 220 associated comments from photography groups on reddit an aesthetic score judgment is assigne...	this paper introduces a new dataset for critiquing photos mining 74k from the rphotocritique subreddit and an algorithm for transforming the reddit comments into a judgement score between 01 they then introduce the task of predicting these judgement scores from the images all reviewers find this to be a useful contribu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies generalization gap for stochastic gradient descent since the generalization gap can be expressed in terms of the number of fixedradius balls required to cover the domain on the function it...	this paper introduces a new framework for proving generalization bounds for sgd that is based on covering the space of trajectories when the underlying function is smooth and strongly convex the fact that gradient descent contracts the distance between points by a constant factor can be used to construct a good cover m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a novel approach for determining the causal direction between two random variables a and b the approach is based on the assumption that the conditional distribution pa rightarrow bb mid b...	this submission builds on recent work by bengio et al 2020 to learn disentangled representations of causal mechanisms the main innovation in this work is that the authors propose to use compare the generalization gap between a model ab and its causal inverse ba to determine the true causal mechanism reviewers are in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper revisits a traditional model compression method global magnitude pruning gp and shows that gp can achieves stateoftheart the paper further improves gp by introducing minimum threshold mt experimen...	the paper claims that one of the most common and obvious pruning methods in the literature today global magnitude pruning is overlooked and seen as a mediocre baseline by the community as an active member of the pruning research community myself i can attest that this is simply not true i am in strong agreement with re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work deals with fewshot learning and classification by means of similarity learning the authors propose a method for generating a set of convolutional kernels ie a minicnn for a query image gi...	the reviewers all appreciate the idea and the competitive performance however the consensus is that this is a simple extension of the work of han et al and therefore the current submission contains little novelty there are also numerous issues regarding clarity that the reviewers have pointed out it is unfortunate that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a contrastive learning method for cardiac signals this strong points of the paper are the following 1 it presents its problem clearly the problem it targets is an impactful problem in t...	this paper proposes a representation learning approach from cardiac signals which adopts contrastive learning to incorporates knowledge on patientspecificity this problem is highly motivating because of potential application to medicine and healthcare and large amounts of accumulating unlabeled physiological data the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the signal propagation plot spp which is a tool for analyzing residual networks and analyzes resnet withwithout bn based on the investigation the authors first provide resnet results wit...	this paper analyses the signal propagation through residual architectures then suggests a scaling method which together with weight standardization allows to train such networks to high accuracy with batchnorm it demonstrates that the method performs better than previous methods fixup skipinit and can be used on more a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper extends the imagebased diffusion model methods into the video domain it builds upon the 3d unet architecture with attentions along the the decoupled space and time dimensions the proposed video di...	this paper proposes a diffusion model for video capable of generating long and highresolution videos diffusion models have generated some more excitement around generative models as well so the paper is welltimed the reviewers had a few concerns regarding additional experiments and clarifications and it appears that th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a resourceefficient approach for approximating kernels using random feature transformations the random feature approach was introduced in a seminal paper by rahimi and recht where each r...	the reviewers overall were quite happy after the rebuttal phase in which the authors considerably improved the presentation quality and addressed reviewer concerns and recommended acceptance the reviewers agreed that while the theory was short and relied on various possibly restrictive assumptions and maybe was largely...
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 introduces a new approach to study the separation power and approximation properties of graph neural networks gnn the authors introduce the tensor languages tl and show the representation of gnn ...	this paper gives a new theoretical framework to characterize the expressive power of graph neural networks that describes gnn by tensor language tl and then makes it possible to analyze its expressive power through the lens of tl the authors connect the expressive ability of tl to the color refinement algorithms and ve...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose generalized vcl in this paper which consists of multiple ideas first the authors introduce a betaelbo which facilitates downweighting the klterm of vcl if beta taken to the limit towards...	three of four reviewers are in favour of accepting the paper some reviewers raised valid criticism regarding the derivations interpretation of the mathematical analysis and experimental results so clearly some aspects of the paper could and should be clarified in accordance with the points raised by the reviewers howev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a simple but effective way to avoid model stealing to the best of my knowledge the idea is novel the writing of this paper is quite clear and experimental results also show the effective...	this paper proposed an ensemble of diverse models as a mechanism to protect models from theft the idea is quite novel there are some concerns regarding the robustness of the hashing function that i share however not every paper has to be perfect especially when it introduces a novel setup ac
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: score maintained after authors answers the paper present a framework for assessing how generic models can learn new tasks without forgetting about the previously learnt ones as a nonexpert in machine lea...	the proposed lifelong learning benchmark enables a significantly improved evaluation of techniques to combat catastrophic forgetting however there are two suggestions for the authors 1 regarding data sheets the authors are encouraged to document the datasets to the best of their abilities even if the original authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepin this paper the authors derive updates to the learning rate lr that minimize the loss function that can be computed as functions of neural network gradients these updates to the lr can be used to co...	the work presents a modification to existing approaches of automatic learning rate adaptation called tlr via a second order approximation of the function mapping step size to the change in loss when optimized with sgd this was easily the most controversial paper in the acs stack with 4 reviewers advocating accept and 2...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors attempt to improve online continual learning cl performance by eliminating the logit bias of the classifier used they use a nearestclassmean ncm classifier and a multisimilarity metric learning ...	this paper presents an approach for online continual learning where only a single pass over each tasks data is allowed instead of the oftused softmax classification setting in continual learning the paper proposes to use the generative setting based on the nearest class mean ncm the paper claims that it avoids the logi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds on previous methods of learning stable dynamical systems for imitation learning by starting with a stable vector field and morphing it according to demonstrations while remaining stable pr...	the reviewers commented positively about the theoretical derivation of the method its main properties and the experiments performed however there are also some important issues that need to be addressed in the rebuttal phase 1 discuss the motivation of neural manifold odes given that they are slower than other integra...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new framework pc graphs which can train on arbitrary network structures without the limitation of backpropagation it is inspired by neuroscience and implemented by predictive coding th...	this work presents the use of predictive coding specifically pc graph as a way to overcome some of the limitations of the commonly used backpropagation approach in deep learning the initial reviews have raised some concerns regarding the paper but these were sufficiently addressed in rebuttal to result in one reviewer ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach for detecting out of distribution ood samples by synthesizing outlier samples and considering an unknownaware learning mechanism the synthetic outlier samples are used to lea...	this paper proposes to synthetize virtual outliers by sampling from lowlikelihood regions of the feature space of a class conditional distribution in order to make more robust predictions via a regularization loss term in the reviewing phase certain criticisms were raised by reviewers namely that i the paper was not c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the implicit bias of gradient descent through the lens of margin maximization and the main focus is to understand what can be guaranteed by the kkt convergence result by lyu li 2019 it t...	the reviewers reached a consensus that the paper can be accepted by neurips the ac notices a few weaknesses pointed out by the reviewers and personally thinks the papers results are somewhat expected nevertheless the ac would like to recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focus on generating visual counterfactual explanations vce for any arbitrary classifier using diffusion models prior work generates vce reliably on adversarial robust models or generative models ...	on the whole after the reviews and discussion the reviewers are in agreement that this is an interesting method with some novel contributions and highquality results which should be of interest to the community
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: for cooperative multiagent reinforcement learning they propose an offpolicy learning method that is reqularized by the kl divergence to some target policy which in contrast to classic max entropy rl allows ...	the paper presents multiagent rl framework that uses the divergence between the learned policies and a target policy as a penalty that pushes the agent to learn cooperative strategies the proposed method is built on top of an existing one dapo wang et al 2019 empirical experiments clearly show the advantage of the prop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors present a vectorbased version of the adam optimizer called vectoradam in contrast to adam vectoradam operates on the vector form of the gradients instead of performing the scaling o...	ratings 5847 confidence 4344 discussion among reviewers yes summary this paper introduces a variant of adam where instead of keeping emas of the squared individual gradients the algorithm keeps an emas of the squared l2 norm of vectors of gradients this ema of the squared l2 norm is then used as normalizer making sure...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: updates authors acknowledged that they cannot get a robust analysis furthermore the optimality test also requires a robust analysis therefore i believe the current version is still incomplete so i changed m...	this paper proposes a new method for verifying whether a given point of a two layer relu network is a local minima or a second order stationary point and checks for descent directions all reviewers agree that the algorithm is based on number of new techniques involving both convex and nonconvex qps and is novel the met...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel integer training method and shows that it is effective to train deep learning models with integeronly arithmetic more specifically the proposed method is designed to address and t...	this paper proposes methods for using integer arithmetic to train deep learning models reviewers arrived at a consensus to accept the paper concerns do exist on the title and abstract are misleading to me there are also floatingpoint arithmetic in the model so it is not integer arithmetic only hope the author can fix i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors deal with the problem of revising previous recorded data and its effect on timeseries predictions they showcase how revisions in past data quantified as the backfill error can introduce a consid...	this paper introduces back2future a deep learning approach for refining predictions when backfill dynamics are present all reviewers agree on that the authors successfully motivate their work and introduce a topic of great interest ie that of dealing with the effect of revising previously recorded data and its eff...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a novel dataset and its code to increase the number of samples the dataset is named gamified association benchmark to challenge visionandlanguage models winogavil inspired by winograd sc...	the paper presents a new visionandlanguage benchmark that associates images and text collected using a crowdsourced game similar to codemaster all reviewers were positive on the paper they praised the cleverness and novelty of the idea the clarity of the writing that the benchmark and game are publicly available and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach for making maximum a posteriori map inference on the intensity function of a poisson process regarded as a function of covariates the representer theorem which the authors sh...	the paper looks a the augmented permanental point process as a model of spatial point phenomena one reviewer was unconvinced that the method was needed at all which the authors refuted there was a long exchange but im on the side of the authors here the method is clearly distinct from a point process defined on the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework for crossdomain fewshot learning the framework consists of three steps 1 pretraining backbone 2 metalearn the feature masking network 3 finetuning on target domain experiment...	summary paper addresses the crossdomain fewshot learning scenario where metalearning data is unavailable and approaches are evaluated directly on novel settings authors propose a 3step approach 1 selfsupervised pretraining 2 feature selection 3 finetuning and demonstrate gains over stateofart pros approach is novel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a treatment estimator for experiments with markovian interference using an onpolicy rl approach the authors show that their estimator achieves a good bias variance tradeoff vs other bas...	please add proof outlines to the main body in the final version also add a discussion on assumption 1 and more insights for the proposed method
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i agree with the other reviewer that the application areas are limited in the paper i agree with the overall sentiment of the paper to evaluate effectiveness of some of the more recent techniques in this ar...	the paper attempts to perform an interesting exploration how to combine different tricks for lstm training but does not take it far enough pros interesting attempt at studying different techniques to improve lstm training results cons not very strong baselines limited set of domains were explored low in no...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: many selfsupervised speech representation learning methods use masked prediction at their core this paper proposes ask2mask atm approach for informed masking during learning through a supervised teacher mod...	this paper presents an approach that uses asrbased scores to guide masking highconfident blocks for speech representation learning as most of the reviewers mentioned it is an incremental improvement over baseline systems with limited novelty about the use of confidence scores which is a key factor of the method it lack...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper focuses on softconstrained rl techniques and proposes a metagradient approach for the same it first extends the rcpo tessler et al algorithm using the methodology of ddpg lillicarp et al...	the paper looks at the softconstrained rl techniques and proposes a metagradient approach one of the biggest problems with the lagrange optimizationbased cmdp algorithms is that the optimization of the lagrange multiplier is tricky the proposed solution and empirical results have promise the reviewers broadly agree on ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: sliced mutual information smi serves as a surrogate measure of dependence to classic mi but a quantitative characterization of how its estimation rates depend on the dimension remains obscure this paper nat...	while the reviewers have raised concerns mainly about the significance of ksmi they also acknowledged that the theoretical contributions of the paper are solid on the other hand i do agree with the authors on the fact that the main contribution of the paper is the theoretical analysis that can be trivially applied to s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed approach generalizes and unifies several weak supervision problems proposed approach can be implemented using differentiable programming promising results are obtained for different tasks e...	meta review reviewers are in consensus that this is a technically strong paper and can have a good impact the paper provides a unification of several weak supervision problems and the proposed framework for incorporating prior beliefs allows flexible implementation the authors are suggested to add more discussions with...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to generalize both bn and cbn using whitening and coloring based batch normalization whitening is an enhanced version of mean subtraction and normalization by standard deviation coloring...	the paper addresses normalisation and conditioning of gans the authors propose to replace classconditional batch norm with whitening and classconditional coloring evaluation demonstrates that the method performs very well and the ablation studies confirm the design choices after extensive discussion all reviewers agree...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an experimental evaluation of episodebased rl erl on a series of simulated tasks starting from a reacher box pushing ball in a cup to table tennis the paper starts by proposing a trustre...	scores xpuk weak accept 3ilp weak accept fpe5 weak accept rejd weak reject quality the paper is of high quality providing new theory and extensive simulation experiments clarity the clarity of the paper has been improved in the revision the additional baselines provide further support for the model originality the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use mcts to enhance existing algorithms for multiobjective optimization problems experimental results on a wide range of benchmark problems show the improving performance of the propo...	multiobjective learning is an increasingly important topic this paper presents a method for better finding parts of the pareto frontier through a new method to estimate the distance to the frontier and use this proxy to refine the state space partition the reviewers found this paper interesting and compelling and gene...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a system that can generate and visualize a branched plan to help users understand it they generate a branched plan by considering sensing actions that may have different outcomes and ite...	the paper looks at the problem of communicating and visualizing branching plans this an important and unfortunately lessstudied problem in xaip and seems well suited for the workshop the reviewer agrees and recommends accepting the paper but also notes the lack of clarity about the primary contributions of the paper an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes framemaker to reduce the memory footprint of video classincremental learning systems by condensing video examples of past tasks into single frames specifically the authors used a list of ...	the reviewers appreciated that the proposed idea is interesting and is well supported by sufficient empirical evidence there were some concerns in the initial review and the rebuttal successfully addressed most of them as a result two reviewers upgraded their ratings overall this paper tackles an important problem of i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the task is to train an implicit and an explicit model simultaneously via gan setting and a new regularizer called stein bridge which is constructed from the kernel stein discrepancy between t...	this paper presents stein bridge a joint training framework that connects an explicit unnormalized density estimator and an implicit sample generator via stein discrepancy the idea and methodology are valid and of interest but the raised concerns were not properly addressed
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies neural networks from the perspective of tropical geometry and applies its theoretical results to develop a novel algorithm for the compression of neural networks with relu activations the ...	the submission introduces an algorithm for structured pruning of fully connected relu layers using ideas from tropical geometry the paper begins with a very accessible overview of key concepts from tropical geometry and shows how relu networks can be thought of as tropical polynomials it gives an efficient kmeansbased...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: image augmentations have recently become a standard component of deep rl algorithms previous work has enforced consistencies at a samplelevel this paper proposes to look at the distribution of statistics ...	the paper proposes a simple modification to how data augmentation is done in imagebased rl this results in some improvements on benchmark tasks the change essentially amounts to adapting dataaugmentation strategies that are already understood in other fields to deep rl however the effect of data augmentation in simple ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors explore synthetic pretraining of t5 style language models they investigate previously proposed synthetic tasks and introduce simpler synthetic tasks that they find to provide similar benefit to ...	overview this paper presents a fascinating research question what properties of pretraining are necessary for effective gains in natural language processing settings the paper also tackles it in a fascinating way exploring several synthetic tasks in exacting detail this is an empirical paper whose goal is to consolid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to train large scale graph neural networks containing up to billions of parameters called graph parallelism the method is used to train large scale versions of the dimenet and g...	the reviewers were split about this paper on one hand they appreciated the clarity and the experimental improvments in the paper on the other they were concerned about the novelty of the work after going through it and the discussion i have decided to vote to accept this paper for the following reasons a the potential ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a deeplearning framework to model shape deformations especially in the context of modifying a surface with userdefined input locations shifted to their desired locations the motivation i...	while some of the scores on this paper are mixed even the negative reviews highlight the quality and interest of the work and have specific and somewhat debatable technical concerns overall the ae recommends accept especially in light of the detailed and thoughtful responses during the rebuttal phase in the camera re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduced a new evaluation metric for osr openauc which jointly measures the binary openset performance and multiclass closedset performance and also introduced a simple osr method by minimizing...	the paper proposes openauc which is a novel metric designed specifically for evaluating openset recognition osr performance openauc is motivated by a formal analysis on existing osr evaluation metrics which suffer from three types of inconsistency properties theoretical results show that openauc is consistent with the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update i appreciate the thorough response to my review provided by the authors i have looked through the newest version of the submission and find it to be much improved the inclusion of repeats for th...	the paper proposes a method to learning rate scheduling that uses information form the eigenvalues of the hessian it shows that this scheduler obtains the minimax optimal rate on the noisy quadratic problem and empirically this scheduler demonstrates faster convergence on cifar10 and imagenet when the number of epochs ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: well written and clearly formatted good and recent sota on unsupervised anomaly detection models based on generative models good and recent sota on ood detection metrics comparison of different metrics dose...	the paper aims to highlight the issue of unsupervised lesion detection being susceptible to false positive that stem from ood variations that dont represent lesions this doesnt come as any surprise and in fact any oneclass classification method would suffer from this limitation this is an important problem as has been ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors tackle the unsupervised domain adaptation problem on tasks with structured output in this case semantic segmentation by performing adversarial alignment at two levels globally using the entire i...	the paper explores unsupervised domain adaptation when the output is structured here they focus experimentally on semantic segmentation in driving scenes and use the spatial structure of the scene to produce two losses for adaptation one global and one patch based the method tackles an important problem and proposes a ...

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