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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the curvature properties of class boundaries of neural network architectures a modified version of the optimization strategy for adversarial perturbation vector generation szegedy 2014 is ...	the work investigates the decision boundary of neural networks by quantifying in various ways the shape and curvature of the error set local to correctly classified inputs dubbed the adversarial subspace first a method is introduced which seeks to find the largest set of orthogonal directions starting at in input x whi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a conditional graph generation that directly optimizes the properties of the graph the paper is very weak 1 i think almost all probabilistic graph generative models are differentiable if ...	since the reviewers unanimously recommended rejecting this paper i am also recommending against publication the paper considers an interesting problem and expresses some interesting modeling ideas however i concur with the reviewers that a more extensive and convincing set of experiments would be important to add espec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper approaches the problem of learning the optimal parameters of the mcmc chain namely it tries to design an objective function that allows for the learning of a perfect proposal distribution in the m...	this paper proposes guiding principles with which to design objective functions for proposal distributions for mcmc they design one such objective based on gsm titsias and dellaportas 2019 the two concerns raised by reviewers that resonated the most with me were it was not clear that the actual proposed objective was...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a new data augmentation framework for lowresourse and zero resource crosslingual task adaptation by combining several methods entropy regluarized training selftraining the authors conduc...	the paper clearly has merits presenting a reasonable approach to zeroshot crosslingual learning with good results but with limited novelty perhaps i am sympathetic to the departure from xtreme on ner agreeing with the authors that using conll data is more interesting than wikiann the postrebuttal discussion centered ...
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 biologicallyplausible temporal credit assignment rule for recurrent neural networks called modprop this work is motivated by recent experimental evidence on the presence ...	biologicallyplausible backpropagation through arbitrary timespans via local neuromodulators the authors propose a biologically plausible method for temporal credit assignment called modprop they apply their framework on ratebased recurrent neural networks rnns and show that it outperforms previous approaches all rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a selfsupervised deeplearning framework for imagetoimage translation tasks such as segmentation that accommodates and fully exploits longitudinal data specifically the method provides a ...	the paper proposes a selfsupervised deeplearning framework for imagetoimage translation tasks such as segmentation that accommodates and fully exploits longitudinal data specifically the method provides a mechanism to impose consistency in output across multiple points from the same individual and simple regularisation...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose to study different distributionally robust optimization problems in the same form of a composite optimization problem they propose a variance reduction type of gradient bas...	the main concerns from the reviewers is the novelty of the algorithm and analysis from the civr algorithm of zhang and xiao 2019b the author rebuttal clarified the main contributions as reformulation of dro as composite finitesum optimization solving heavily constrained optimization problems through composite optimizat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an interesting approach that expands the recent success of selfsupervised pretraining with instance discrimination to supervised pretraining the key insight is to have each class being re...	the paper introduces a simple yet effective technique for supervised pretraining based on knn lookup from a moco memory queue initially the reviewers raised concerns about limited novelty with respect to neighborhood component analysis baseline results lower than the original papers and several other questions such as...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper empirically studies six variants of prioritized experience replay typically used in online rl in a batch rl setting the comparison is performed using td3bc on three d4rl mujoco benchmark environm...	the paper empirically benchmarks multiple sample selection strategies for offline rl based on the prioritized experience replay framework including td errors nstep return generalized sil pseudocount uncertainty and likelihood these are all benchmarked for the base algorithm td3bc the experiments study the performance a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes combining the gumbelmax trick and direct loss optimization for variance reduction in vaes with discrete latent variables this is a natural combination in hindsight since the gumbelmax tr...	the paper presents a novel gradient estimator for optimizing vaes with discrete latents that is based on using a direct loss minimization approach as initially developed for structured prediction on top of the gumblemax trick this is an interesting and original alternative to the use of reinforce or gumble softmax the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper looks at a combination of offline reinforcement learning and planning in order to learn from offline data while being able to relabel the reward specifically implicit qlearning is used to learn a...	scores fzsz weak accept v1xj weak reject qbaa strong accept 6zkp weak reject quality the paper is of high quality enabling longhorizon navigation of a real robot with userspecified navigational preferences by only using an offline dataset clarity the paper has been improved in the revision better contrast to pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to transfer document classifiers between closely related languages by exploiting crosslingual subword representations in a crosslingual embedder jointly with wordbased classifier the embe...	the papers contribution lies in using crosslingual sharing of subword representations for improving document classification the paper presents interesting models and results while the paper is good two out of three reviewers are happy about it i do agree with the reviewer who suggests the experimentation with relativ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of partitioning the atoms eg pixels of an image of a reinforcement learning task to latent states eg a grid that determines whether there exists furniture in each cell the nu...	this paper considers the reinforcement learning in rich observation setting concretely the authors provide a provable sample efficient algorithm for the richobservation factored mdp as the majority of the reviewers commented although the techniques used in the proof share some similarities to the existing work the anal...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces disentangled paper representation which tries to generate paper summaries that explicitly differentiate between the contributions and the context of the work i like the general direct...	the paper attempts at generating two types of summaries for scientific papers summary of contribution and summary of background context most reviewers appreciated the motivation and found this research to be quite interesting and useful however all reviewers had concerns regarding both executionpresentation of the idea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper highlights the difficulty of training with large action space in reinforcement learning this is usually difficult due to the vast number of possibilities during exploration they address...	this paper studies two techniques for handling high dimensional action spaces in deep rl namely selecting action components independently or selecting components sequentially in an autoregressive approach the methods are developed for two deep rl algorithms ppo and sac and tested on multiple domains the reviewers rec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach to learning intrinsically motivated options that is combined with an extrinsically trained policy the motivation is to formulate a learning algorithm that can scale to the av...	this work gives an interesting perspective on combining options with exploration in the nontabular case the reviewers have raised a number of important areas for improvement primarily missing ablations to support the claims of the paper but also specific suggestions about improvements to the text and feel that sufficie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors have introduced an eventbased continuoustime variant of the gated recurrent model and derived an evebased form of backprop to train the system extensive experiments on a wide varie...	this paper introduces an eventbased gru to obtain an efficient continuoustime rnn although the method is sound and can work on a series of small sequence modeling tasks there are multiple issues with the significance of the results of the paper which i point out in the following 1 there have been significant advances ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focused on the problem of improving computational efficiencies of autoregressive ar models on highresolution images the authors proposed a hierarchicalquantized vae which models the images at dif...	the work proposes hierarchical generation as an approach to mitigate the increasing costs of modelling each pixel autoregressively as images increase to higher resolutions the paper is easy to read has strong empirical results and has impressive ablation studies to understand the idea i think the paper could most be i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the works proposes a generalization of mmdsquared distance however the submission seems to be an incomplete one major comments 1 definition 2 seems to be the key definition in the work however there are mu...	the focus of the submission is to define divergences on discrete probability measures particularly the authors propose a common generalization of the wellknown concept of maximum mean discrepancy and kernel stein discrepancy as summarized by the reviewers the submission is in a rather preliminary form 1the work lacks ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper first points out that existing homophily metrics cannot precisely reflect the performance of gnn in some cases and develops a new one based on the similarity comparison between the local neighbor...	in this submission the authors revisit the existing homophily metrics and point out the limitations of existing metrics in analyzing the performance of gnn then the authors propose a novel homophily metric that specifics harmful heterophily and further propose adaptive channel mixing acm framework to handle the harmful...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new web interaction benchmark called webshop where the agent is requested to the navigate ecommerce webpage to buy an targeted items grounded with natural language formed instruction t...	this paper proposes a new realworld natural language web interaction benchmark for the shopping domain and associated dataset webshop the paper includes a rulebased baseline as well as a modelbased one that is trained using imitation and reinforcement learning performance is reported using these models in addition to h...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a metaalgorithm for approximating various graph representation learning schemes generate batches of random trees with fixed fanout and possibly biased probabilities of selectin...	summary the authors propose to approximate operations on graphs roughly speaking by approximating the graph locally around a collection of vertices by a collection of trees the method is presented as a metaalgorithm that can be applied to a range of problems in the context of learning graph representations discussion ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a method for sourcefree unsupervised domain adaptation sfuda task the key idea is to combine the advantages of global alignment 1 and feature consistency 2 the authors divided the targe...	this paper proposes a relatively complicated method for sourcefree unsupervised domain adaptation which integrates several techniques into a divide and contrast framework the idea of dividing the target data into sourcelike subset and targetspecific subset and employing global alignment and feature consistency for each...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers a class of problems called multistage stochastic optimization msso also known as stochastic programming problems which are essentially mdps but with linear rewards and constraints such ...	this paper applies deep learning to a problem from or namely multistage stochastic optimization msso the main contribution is a method for learning a neural mapping from msso problem instances to value functions which can be used to warmstart the sddp solver a stateoftheart method for solving msso the method is tested ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: postrebuttal updates ive tentatively updated my review score from 6 to 7 for the following reasons the authors clarified the relationship of their proposed method with squeezeandexcite and promised to add...	this paper improves the dynamic convolution operation by replacing the dynamic attention over channel groups with channel fusion in a lowdimensional space it includes extensive experiments with reasonable baselines dynamic convolutions are a fruitful method for making convnets more efficient and this paper further impr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: two promising methods for scalable samplebased bayesian inference are 1 sgld simply discretize a standard langevin dynamics to construct a markov chain that approximate the correct invariant distribution th...	this paper proposes a combination of svgd and slgd and analyzes its nonasymptotic properties based on gradient flow this is an interesting direction to explore unfortunately two major concerns have been raised regarding this paper 1 the reviewers identified multiple technical flaws authors provided rebuttal and addres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides theoretical analysis formalizing the intuition of mining hard outliers for improving the robustness of ood detection motivated by the theoretical analysis it proposes adversarial trainin...	in this paper the authors studied a robust method for detecting outofdistribution ood instances ood instance detection is an important practical problem and multiple reviewers recognized the proposed approach is interesting however it was the common opinion of several reviewers that the main theoretical analysis was im...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a 2stage sampling method that can find its use in either feature selection or instance training examples subsampling at a high level the authors frame the problem as a subset selection p...	the paper proposes a setbased neural subsampling model that selects both features and instances using a twostage model the motivation is to allow for scaling to large datasets by first subsampling using an initial stage that does not model secondorder interactions which would require work quadratic in the dataset size ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the problem of solving nonlinear odes in settings without much prior knowledge other than observational data is quite relevant to a variety of applications especially in the life sciences this paper provide...	meta review the paper addresses the important problem of inferring continuoustime ode systems with gaussian processes and develop an efficient multiple shooting scheme to tackle long trajectories the reviewers were all very positive about the paper and commended the technical advances it proposes as well as the solid r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper carries out a largescale study for understanding of onpolicy deep actorcritic the study looks into a large choices of many implementation settings and design decisions and investigate their impac...	there is a clear consensus over all reviewers that this is a very strong empirical analysis with actionable insights that should prove quite useful both to researchers and practitioners i have no doubt that many will use it as a reference when implementing and using rl algorithms especially since the authors said they ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a new way of developing the convergence analysis of gradient descent gd and stochastic gradient descent sgd by leveraging the convergence of the gradient flow gf the main tool of the pap...	this paper provides a new way of developing the convergence analysis of gradient descent gd and stochastic gradient descent sgd by leveraging the convergence of the gradient flow gf this framework is very general and provides new insight that future research on sgd will benefit from all reviewer have positive feedback ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the author presents a method for unsupervised object segmentation by using temporal motion patterns the paper transforms the segmentation as a minimizing elbo problem some practical tricks of gumbelsoftmax ...	this paper presents an approach for unsupervised multiobject segmentation the majority of the reviewers believe the paper contains interesting technical materials that warrants its acceptance the only remaining concern is from reviewer bre4 pointing out that the paper uses a more advanced backbone than the baselines al...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use a differentiable approximation of the heaviside step function which determines where the prediction should be positive according to the input and threshold to build a loss functio...	when training binary classifiers one usually minimizes the surrogate binary crossentropy loss bce but evaluates on metrics such as f1 auroc or other confusion metricbased scores the authors propose to instead combine a differentiable approximation of the heaviside function with a probabilistic view of the typical confu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes neural attentive circuits nac which learns module parameterization and the sparse connectivity between modules trained jointly endtoend the architecture is based on the percieverio arhict...	the reviewers unanimously agreed that the work presented here was novel and improved the state of the art in models that perform conditional computation on a wide variety of different kinds of data the reviewers were originally concerned that the submission focused evaluation only on visual data but the authors provide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes an approach for unsupervised learning of node features on a graph with known structure so that learned local representations represent community information that has high mutual info wi...	because of strong support from two of the reviewers i am recommending accepting this paper however i believe reviewer 1s concerns should be taken seriously although i disagree with the reviewer that a general framework method is a bad thing i agree with them that additional experiments would be valuable
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a set of novel activation functions for artificial neural networks inspired by the boolean logic gates for and or and xnor after defining and motivating the functions the paper derive...	the review ratings were above the acceptance threshold the reviewers valued quite positively the originality of this paper that studied advantages of multivariate activate functions as well as extensive numerical experiments across a wide range of tasks in order to explore their effectiveness upon reading the reviews t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review summary in this work authors address the problem of how to achieve a more feasible data augmentation not only from the samples but also considering the accompanying labels authors solution is framed...	the paper introduces a simple and interesting method that adaptively smoothes the labels of augmented data based on a distance to the clean training data the reviewers have raised concerns about limited novelty minor improvement over baselines and insufficient experiments the authors response was not sufficient to elim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of learning robot controllers that can handle changing or unknown environments it proposes to use differentiable physics for online system identification and reinforcement lear...	the paper addresses the learning of robot controllers for changing or unknown environments it makes use of differentiable physics for online system identification and of reinforcement learning for offline policy training a universal controller is trained on a distribution of simulation parameters in order to ensure its...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work considers the problem of using a nonlinear classification function as a final layer of a neural network instead of the conventional softmax function to this end the authors proposed a new kerneliz...	the paper proposes the replacement of the softmax layer in a neural network with one parametrized by a kernel the kernel itself is learned during training from the space of radial basis kernels the resulting models are compared against identical networks with softmax linear kernels second order pooling and kervolutions...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates how to use auxiliary information to improve classification performance when few labeled examples are available as the introduction makes clear this is an especially important problem...	the paper addresses the problem of improving generalization when few annotated data is available by leveraging available auxiliary information the authors consider the respective merits of two alternatives using auxiliary information as complementary inputs or as additional outputs in a multitask or transfer setting f...
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 novel ssl method ie lagraph for graph representation learning based on latent graph prediction the overall presentation is good with sound theoretical analysis there is...	this paper studies selfsupervised learning for graph neural networks by proposing a framework called lagraph both theoretical analysis and experimental evaluation are provided in the paper we acknowledge the merits of this paper which include studying a relatively less explored topic providing theoretical analysis and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of discovering the generalizable tasks over the models in this context the image label assignment of labels is considered a different task then the method proposed in the pap...	this paper contributes an interesting point of view given a particular model can we find tasks for which it will be good for this end the paper proposes an agreement score whose applications include finding generalizable subtasks and adversarial traintest splits all reviewers were in favor of acceptance generally agr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quality pro o this paper was in general a quality effort it had a thorough bibliography of both older and recent relevant research contributions o providing useful well done experimental results on ...	this paper presents a substantially new way of introducing a syntaxoriented inductive bias into sentencelevel models for nlp without explicitly injecting linguistic knowledge this is a major topic of research in representation learning for nlp so to see something genuinely original work well is significant all three re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a way to perform multitask learning with gradient boosted decision trees multitask learning has shown promise in deep learning and other machine learning systems it is hard to perform multit...	this paper proposes a multitask version of gradient boosted machines gbms the paper proposes a learning algorithm that adaptively adjusts the learning rate per task empirical evaluation is carried out on two datasets with the method implemented in the lightgbm framework the reviewers thought that the paper is not very...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: graph representation learning and specifically gnns have generated tremendous over the past few years in this work the authors propose a framework which builds on recent works on subgraph enhanced aggregate...	the paper considered subgraphenhanced graph neural networks that provably boost the expressive power of standard messagepassing graph neural networks it proposed a theoretical framework for studying the expressive power of these gnns and the relation to the weisfeilerleman hierarchy and extended the existing results it...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the nonepisodic rl setting no environment resets where an agent is given experience data from a source task and needs to efficiently learn to maximize rewards they give discussions on w...	the paper introduces a new formulation for single life reinforcement learning which is interesting moreover an algorithm is presented for solving this rl scenario the paper was evaluated positively by all reviewers the 2 borderline reviews main concerns were missing theoretical evidence motivation for the algorithm r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the basic idea is as follows multiplex multiple inputs into one input of the same size then feed the models output into a module at the end that untangles the multiplexed representations and makes a predict...	the paper applies datamux for deep learning approach which enables the network to process multiple inputs the idea is very interesting and the paper is well written all three reviews suggested the paper should be acceptable
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: na reproducibility review na reproducibility review na reproducibility review na reproducibility review na reproducibility review na reproducibility review docsepthis paper introduces a software framework b...	the paper proposes a software framework to help ease the process of training supernets for nas the paper also demonstrates the utility of the proposed framework for multiobjective nas on both classification and denseprediction tasks the paper has received 1 strong accept and 3 accept ratings all the reviewers agree tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the problem of learning the optimal threshold policy for markov decision processes mdps is considered using the monotonicity property of threshold policies the authors establish a simple polic...	the paper considers a subset of dynamic problems in which the optimal policy is a thresholdpolicy the authors use this attribute to formulate tailored offpolicy actorcritic algorithms for both mdps and rmabs which are gradientbased so can utilize neural networks they empirically compare their method to sota methods in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a nonlocal form of adversarial perturbation which to my limited knowledge is new the form of the perturbation is specific to relu activations but it may be a large set the authors also de...	the paper presents a novel view on adversarial examples where models using relu are inherently sensitive to adversarial examples because relu activations yield a polytope of examples with exactly the same activation reviewers found the finding interesting and novel but argue it is limited in impact i also found the ide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the important problem of spatialtemporal forecasting and proposes a multiscale spatialtemporal joint graph convolution that jointly model the heterogeneous spatialtemporal correlatio...	the paper proposes a multiscale spatialtemporal joint graph convolution for spatiotemporal forecastings many reviewers have concerns regarding novelty baseline comparisons and writing clarity of the draft
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work addresses incremental fewshot learning that learns novel classes without forgetting old classes which is interesting and different from conventional fewshot learning that considers only the fewsho...	this paper proposes an approach for incremental learning of new classes using metalearning strengths the framework is interesting the reviewers agree that the paper is wellwritten and clear the experiments include comparisons to prior work and the ablation studies are useful for judging the performance of the method we...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: knowledge graph embedding kge methods solve link prediction problems by learning node embeddings and a score function such that the correct triples are ranked the highest on the hand anyburl is a symbolic a...	this paper presents an ensemble scheme to combine predictions from embedding and rulebased kg completion methods while the proposed method is extremely straightforward the aggregated method does perform consistently better compared to the component methods overall we think the paper is interesting wellmotivated and a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper develops methods to perform active subsampling that is given some downstream task like classification or image reconstruction it sequentially selects which elements of an image or signal...	the review phase was very constructive where reviewers raised several opportunities for improvements the authors did a very good job in their rebuttal which led some reviewers to change their opinion in a positive direction overall reviewers agree that this is the borderline paper with remaining concerns about the weak...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an objective function for sets autoencoders such that the loss is permutation invariant with respect to the order of reconstructed inputs i think that the problem of autoencoding sets is...	this paper proposes a new permutation invariant loss where the order doesnt matter motivated by set autoencoding settings this is an important problem and the authors solution is interesting the reviewers however found the exposition to be unclear in particular the explanation on how the loss function is derived was c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes two representations namely onehot encoded boolean expansion and grouptheoretical fourier expansion for the surrogate model used for the blackbox evaluations on purely categorical variable...	this paper considers the problem of blackbox optimization over categorical variables using expensive function evaluations fourier representation is proposed as surrogate model by treating the categorical input as the direct sum of cyclic groups the parameters are learned using exponentiallyweighted update algorithm ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper has fundamentally changed the way that i look at federated learning looking back on it i dont understand why nobody thought of doing this before i find especially interesting the revelation that...	meta review this paper designs a family of privacyaware compression mechanisms for federated data analysis quality the paper contains sound theoretical results the experiments can be improved clarity it is a wellwritten paper originality the work is original i quote a reviewers comment below this paper has fund...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to learn the exponential operator in time evolution using the pade approximation the proposed method shows the states of art results on 1d burgers kdv equation as well as the covid 19 be...	the paper provides a unique contribution that uses padde approximations to approximate nonlinear operators for solving initial value problems in pdes the paper contains also a nontrivial experiment with a realworld dataset that showcase the impact of the proposed model the authors have provided a strong rebuttal and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a mostly deterministic policy gradient method they derive a theoretical algorithm showing it recovers the same policy gradient estimator this is then evaluated in practice showing that ...	the paper addresses the problem of longhorizon policy learning with nonlocal rewards via pg that avoids noise injection the reviewers are in consensus and i concur that this paper would be a welcome contribution to neurips because it addresses an important problem makes a solid contribution and shows impressive results...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of fly drones with wind neural networks are used to learn the effects of aerodynamic disturbances which are the uncertainties between the true and estimated control contract...	the reviewers evaluated this paper positively as it contains a solid theory proof of convergence for a new algorithm that combines distributional rl and control contraction metrics the experiments are applied to a quadrotor trajectory following problem and showed good performance one reviewer advocated an oral present...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview this paper shows that the forward pass of a fullyconnected layer generalized to convolutions followed by a nonlinearity in a neural network is equivalent to an iteration of a prox algorithm where ...	this paper relates deep learning to convex optimization by showing that the forward pass though a dropout layer linear layer either convolutional or fully connected and a nonlinear activation function is equivalent to taking one nice proximal gradient descent step on a a convex optimization objective the paper shows 1 ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper formulates the problem of automatic and fast selection of the best timeseries forecasting model as a metalearning problem specifically an autoforecast model consisting of a temporal metalearne...	in this work the authors consider the automatic selection of timeseries forecasting model and hyperparameters based on historical data it adopts a conventional featurebased metalearning approach experimental results show an improved performance over the considered baselines the reviewers appreciated the clarifications...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: savi is a successor the savi model which learns to segment objects in video sequences without segment annotations both savi and savi take hints about where objects might be on the first frame such as boundi...	three out of four reviewers provided positive reviews and scores for this submission they agreed that savi makes meaningful improvements over a previously proposed savi model importantly while most past approaches evaluate on synthetic data this submission evaluates the proposed model on a real world dataset the propos...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in contrast to previous works on lifelong machine learning lml that put their focus on the supervised learning settings this paper concentrates on the scenario that only a limited amount of data is availabl...	this submission proposes mako which enables continual learning when only a limited amount of labeled data is available along with a good deal of unlabeled data reviewers shared concerns about difficulty in understanding which components of the proposed system were novel especially given that the most important componen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the functional relationship between timevarying learning rate batch size and the generalization error the contributions are summarized below assuming quadratic risk function and the sd...	this paper derives a pacbayes generalization bound for sgd and uses the results to postulate a functional form for the generalization error as a function of the ratio of the learning rate to the batch size this functional form is then leveraged to develop a kernel function gp hyperparameter optimization the reviewers ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposed a way to modify the molecule based on language pretraining techniques the sequence representation of molecules is based on iupac names which can be more semantically meaningful ...	this work proposes to use a transformer model and language model inspired selfsupervised training techniques to generate local modifications of organic molecules the use of iupac names coupled with language inspired pretraining is indeed an interesting idea worthy of exploration the paper has a lot of promises in this ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors revisit an old approach to lqr called rbmle and reconcile it with ucbbased methods they show regret guarantees and good empirical performance i want to highlight that i am not familiar with the ...	rewardbiased maximum likelihood estimate rbmle is an approach to balance explorationexploitation that is based on biasing models with smaller cost functions the paper considers an augmented version of it arbmle that confines the search of the model to the confidence set used by an upper confidence bound ucblike algorit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies empirically the current limitations of posterior estimation in bayesian neural networks focusing on monte carlo integrations as a simple golden standard and comparing its problems and limi...	the paper proposes a method to refine gaussian approximations of the posterior in bayesian computations by using the normalizing flow such gaussian approximations are usually cheap to obtain via laplace approximation or variational bayes the method proposed by the authors outperform standard mc approaches and is compet...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel variable selection algorithm based on mcts and bo the proposed method mctsvs outperforms existing approaches in several benchmark problems with relatively large dimensions a nov...	this work proposes a variable selection technique based on mcts that can be integrated with various acquisition functions the authors show that this can significantly speed up the optimization of acquisition functions in bayesian optimization and in some cases improve the optimization performance as well the reviewer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper has done an excellent work of finding the outofdistribution between the subgraph and graph as the confounder further this paper proposes a conditional variational graph autoencoder in assessing t...	this paper recieves extensive discussions among sac two acs and pcs the decision was not made lightly we hope that you will find the comments below from two acs useful for future publication this paper is concerned with the feature attribution framework which distributes the prediction made by a graph neural network...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a continuous disentanglement variational autoencoder the approach is an extension of the disentangled variational autoencoder proposed by sha lukasiewicz in which they modify sampling la...	this work proposes a continuous disentanglement variational autoencoder the approach is a direct extension of sha lukasiewcz 2021 the proposed method appears effective in learning disentangled factors on synthetic data however the approach is a minor change to sha lukasiewcz 2021 that samples a weighted sum over all ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a gradientbased learning for f1 measure under the utility maximization framework f1 is a widely used evaluation metric in information retrieval and machine learning and it is hard to opt...	this manuscript proposes a gradientbased learning scheme for nondifferentiable and nondecomposable metrics the key idea is to optimize a soft predictor directly instead of aiming for a deterministic predictor which results in a differentiable loss for many of these metrics theoretical results are provided which describ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a loss function that is robust to the adversarial samples and claims the training with this loss function makes the model achieve better generalization ability however there are a number...	this paper presents an inferencesoftmax cross entropy isce loss a modification to the widely adopted softmax cross entropy sce loss to achieve better robustness against adversarial attacks the original submission had critical issues on motivation theoretical analysis and experiments although the authors provided a revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on an interesting and important question how to perform distributed multiagent deep reinforcement learning the author first proposed three challenges to be considered 1 demanding data tra...	this paper proposes a distributed containerized multiagent reinforcement learningcmarl framework that addresses three challenges in marl 1 demanding data transfer 2 interprocess communication 3 effective exploration using a container that collects environment experiences from parallel actors into buffers and learns loc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work proposes learning to prune attention heads in bert in order to achieve better accuracies on downstream tasks especially when there are a small number of training examples the authors emplo...	this paper proposes to use rl to learn how to prune attention heads in bert to achieve regularization for tasks with small dataset size specifically the authors use dqn to learn a policy to prune heads layer by layer this paper receives 4 reject recommendations with an average score of 45 though the idea in this pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores measuring vqa models under adversarial settings by having two competing models when reasoning over a clevr scene as usual and the other seeks to make the scene more challenging to answer ...	introducing an adversarial agent that reconfigures the rendered scenes of clevr to demonstrate that models that appear achieve superhuman performance are actually easily fooled due to their lack of ability to reason provides a nice insight into limitations with existing approaches and correspondingly how we evaluate on...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to train neural compression vaes with multisample iwaestyle objectives and analyzes the effect of the choice of variational distribution constant width uniform posterior the choice betwe...	this paper studies the problem of neural image compression nic standard methods for nic use a singlesample pathwise estimator to estimate the elbo gradients to optimize the ratedistortion loss function this paper improves the estimation by using multiple samples leading to better compression results experimental result...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper mainly questions the benefits of meta learning approaches in reinforcement learning by comparing them with multitask learning pretraining with finetuning visionbased benchmarks including procgen ...	reviewer qvwu summarizes the paper well the paper presents a study comparing popular metalearning approaches like reptile pearl and rl2 with standard multitask pretraining finetuning on 3 vision based benchmarks namely procgen rlbench and atari on all three benchmarks they test the generalization ability of the approa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary the paper proposed a carefully designed neural rendering pipeline to realistically insert one image fragment into another image via deep image prior and the consistency in the albedo shading a...	overall the review is borderline r2 and r4 are slightly positive and r3 is slightly negative all the reviewers like the novel shading consistency loss proposed in the paper and improved dip that produces consistent image decomposition inferences and good experimental results however reviewers also shared concerns about...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a new noncontrastive learning algorithm with a additional variance preserving term in the objective to get rid of the stopgradient operation commonly used in noncontrastive learning they...	the paper connects noncontrastive ssl methods such as byolsimsiam with feature decorrelation approaches eg barlowtwins and vicreg via theoretical analysis and empirical validations the paper is wellmotivated and the problem to be addressed is important for the community the experiments seem to be extensive there are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyses a variant of generalized federated averaging wang et alhttpsarxivorgabs210706917 with partial worker participation and asynchrony in the stateful ie the worker specific data can be saved...	this paper on anarchic federated learning fl envisions an fl framework where edge clients can act independently instead of their participation being controlled by a central server the idea is certainly promising however the reviewers pointed out the following main issues 1 technical gaps in the theoretical analysis nee...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a set of changesimprovements to a prior sota dataset distillation algorithm kip that allows to achieve comparable or better results at a fraction eg 1100 of the compute cost the changes ...	the paper provides a novel and practical algorithm for dataset distillation the paper is clearly written and the reviewers felt that this is a nice contribution to the field the results demonstrate a clear improvement over state of the art and the experiments are sound the reviewers raised concerns about limited novelt...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe a graph neural network model to predict severity of depression from available textapplication of this method to text data itself is not unique but the clinical context is relevant and i...	this paper presents a graph neural network model to predict the severity of depression symptoms from text it proposes to construct a graph with word nodes and use schema structure to capture the context information in the text a schema encoder is introduced for modeling the constructed graphs strength interesting app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of learningfinding a simplex with k vertices in rd from a set of points close to the simplex that is given a set of points a and integer k the goal is to find subsets r1 rk...	this paper considers the problem of learning a kdimensional latent simplices given perturbations of data points in the simplex this problem is of wide relevance in machine learning as it encompasses many latent variable models including latent dirichlet allocation and stochastic block models it presents a modification...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of slower training speed with lowprecision training of neural nets it presents a simple solution first train with full precision on half of the budgeted trainining time the...	description the paper asks the question whether it is possible to accelerate training a binarized neural network from scratch to a given target accuracy by starting with training a fullprecision network the main claimed contributions are the idea to use partially pretrained networks experimental evidence regarding t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a framework for evaluating post hoc methods for explaining feature attributes for pretrained models the authors supplemented their framework with a collection of 7 datasets synthetic and ...	the reviewers unanimously agree that this paper should be accepted i would ask the authors to add descriptions of the pimaindians diabetes and the framingham heart study dataset to appendix e and to check the license of the framingham heart study as according to kaggle the lincese is unknown furthermore the readme cou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper under review is a very technical contribution to the study of groupequivariance of convolution kernels the problem of groupequivariance is studied in the most general setup thus encompassing the p...	reviewers generally agree that the main result of the paper which generalizes the classical wignereckart theorem and provides a basis for the space of gsteerable kernels for any compact group g is a significant result there are also several concerns that need to be addressed r4 notes that the use of the dirac delta fu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers developing a sound and complete verification method for robustness certification of polynomial networks pns against normbased perturbations the verifier developed here combines input spl...	the authors propose a novel verification technique for polynomial neural networks they compare their approach against competitive baselines and demonstrates improvements in the quality of bounds obtained and their ability to verify inputoutput properties the reviewers agreed that the paper contains novel and interesti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in regards to the contrastive learning framework the paper claims that the use of minibatches of negative samples instead of the computationally infeasible option of using the entire dataset leads to bias i...	this paper argues that using minibatch updates for contrastive learning leads to a gradient bias problem authors take a probabilistic view point and propose an efficient bayesian data augmentation technique which leads to decomposing the loss function they further come up with an efficient sem algorithm for optimizing ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a new benchmark for reinforcement learning based on a popular game minecraft it includes thousands of tasks with unified observation and action spaces and a large knowledg...	this paper proposes a new rl benchmark called minedojo which consists of thousands of diverse tasks on minecraft game the main challenge in designing such a benchmark is to define a good reward function to specify the desired task this is very tricky since minecraft is openended environment and there are various tasks ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel extension of the meanteacher method for semisupervised learning rather than only using previous knowledge this framework looks ahead to involve the future information to update...	this paper introduces an approach for reducing confirmation bias during selftraining for semantic segmentation by learning from the future ie updating the teacher at a given timestep in selftraining with a virtually updated version of the student without actually using the gradients to update the student yet overall re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper contributes a tabular benchmark called jahsbench201 which measures the performance configurations in a joint hyperparameter and nas search space over three image classification tasks cifar10 colo...	the jahsbench201 provides a collection of surrogate benchmarks for jahs that will enable research on multiobjective costaware and multifidelity optimization methods there is consensus among the reviewers that the contribution is significant and the discussionrebuttal reinforces the strength of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a method for a sequencetosequence retrieval task the idea of the task is given a set of sentences describing steps in a coherent story the model needs to retrieve a single image per each...	reviewers unanimously vote for rejection for several reasons first the draft is incomplete and difficult to read second one of the proposed methods contextual sentence encoder appears the same as past work while the other proposed method graph encoding is difficult to interpret from what is written third the draft is m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper defines a new problem reverse engineering of deceptions red that aims to reconstruct the adversarial perturbation applied to a clean image based on the adversarial image their contributions are t...	the manuscrupt studies an unexplored problem how to reverseengineer adversarial perturbations from an adversarial image this leads to a new adversarial learning paradigmreverse engineering of deceptions red the authors formalize the red problem and identify a set of principles crucial to the red approach design by inte...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper studies interference and forgetting in the context of reinforcement learning rl on the example of the iterative value estimation family of algorithms the authors define interference as t...	the paper investigates interference in reinforcement learning and introduces a novel measure that can be used in valuebased methods although the reviewers acknowledge that the paper has merits the topic is relevant and the paper is well written they feel that the contribution is not sufficiently supported by either a t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors showcase a pipeline intended to standardize and industrialize ai model development and testing for medical time series it is very clear that the authors have put in a tremendous a...	the paper addresses a pressing problem for applications involving clinical time series and introduce a pipeline that handle many of the issues pertaining to data preprocessing an important contribution is the software that makes the processing more seamless which will without a doubt be useful to the community given t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary authors applied reinforcement learning framework to the problem of taskoriented dialog in particular they used the option framework to represent the connection between the dialog policy and the nat...	as the title states and reads somewhat like an openreview review title the authors apply the options framework from the rl community to perform hierarchical rl where the option is the dialogue act and the subproblem is the nlg component in taskoriented dialogue tod policy learning the two technical contributions beyond...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission considers a very topical issue given the active ongoing interest in ood performance models developed with ood robustness in mind can come with a significant loss of indistribution performanc...	this is a borderline case and its quite difficult to decide the recommendation the paper works on a critically important problem namely removing or reducing the indistribution accuracy drop when we need to also take the outofdistribution accuracy into account the proposed method is simple and it works which is great ho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an instancewise feature selection method which chooses relevant features for each individual sample the basic idea is to minimize the kl divergence between the distribution pyx and pyxs ...	this manuscript proposes a new algorithm for instancewise feature selection to this end the selection is achieved by combining three neural networks trained via an actorcritic methodology the manuscript highlight that beyond prior work this strategy enables the selection of a different number of features for each examp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies latent manipulations in text autoencoders the authors propose that compared to random and coordinate directions moving in the pca directions of encodings of training examples will produce...	this paper proposes a simple method to discover latent manipulations in trained text vaes compared to random and coordinate directions the authors found that by performing pca on the latent code to find directions that maximize variance more interpretable text manipulations can be achieved this paper receives 4 rejec...

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