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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review this paper refines the the truncation error analysis for discretizing the ode to obtain accelerated optimization method the truncation results include higher order term built upon the analysis the ...	the paper studies a highorder discretization of the ode corresponding to nesterovs accelerated method as introduced by suboydcandes the main claim of the paper is that the more complex discretization scheme leads to a method that is more stable and faster however the theoretical claims do not seem sufficiently supporte...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper considers the task of coarselydisentangling a datagenerating process into independent and shared modules in more detail it is assumed that each observation in a given dataset was generated...	this paper proposes to learn representations in an unsupervised manner using a generative model in which observations are generated by combining independent causal mechanisms icms in combination with a global mechanism the authors introduce an unconventional mixture prior for the shared and independent components of th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: adaptive samplespace adaptive probability asap lossy compressor is proposed asap is based on neural networks asap jointly learns the quantization width and a corresponding adaptive quantization scheme some...	this paper presents an interesting approach to image compression as recognized by all reviewers however important concerns about evaluating the contribution remains as noted by reviewers evaluating the contribution requires disentangling what part of the improvement is due to the proposed approach and what part is due ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes an interpretable method to detect granger causality gc under nonlinear dynamics which can detect signs of grangercausal effects positive and negative and inspect their variabilit...	the proposed approach is interesting and is differentiated enough from the recent body of work on neural network granger causal modeling as it offers a mechanism for detecting signs of causality the authors have satisfactorily addressed the points raised in the reviews in particular relationship with prior work and n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a randomized compresstointeger operator with a shared scaling factor for use in data communication in distributed sgd the resulting algorithm is provably convergent matches the behavio...	this paper proposes a theoretically sound and practically effective method to compress quantized gradients and reduce communication in distributed optimization the method is interesting and worth publication
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a method to learn to permute sets endtoend they define the cost of a permutation as the sum of pairwise costs induced by the permutation where the pairwise costs are learned permutatio...	the paper proposes an architecture to learn over sets by proposing a way to have permutations differentiable endtoend hence learnable by gradient descent reviewers pointed out to the computational limitation quadratic in the size of the set just to consider pairwise interactions and cubic overall one reviewer with low ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the personalized federated learning and makes a few contributions first it proves an informationtheoretic lower bound on the sample complexity second it proposes an allforone algorithm tha...	this paper addresses an important issue related to sample complexities for a personalized federated learning pfl problem its focus is on the case where a large number of agents collaborate to train the pfl problem and each agent can have local data from a slightly different data distribution authors provide both the lo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper 1 shows the first rdp bound of proposetestrelease ptr algorithm in differential privacy 2 shows another rdp bound of subsampled ptr 3 demonstrates that it is tighter in composition and applies it ...	paper studies rdp bound of proposetestrelease ptr algorithm in differential privacy in particular it shows rdp bound of subsampled ptr and demonstrates how it is useful for composition of robust sgd given the textbook importance of ptr we recommend accepting however we encourage authors to incorporate the comments fro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a pipeline to induce geometrical deformations due to expressions on a persons 3d face the existing works either uses single image based 3d reconstruction that manifest the expression pre...	the reviewers raised a number of major concerns including a poor readability of the presented materials incremental novelty of the presented and most importantly insufficient and unconvincing ablation and experimental evaluation studies presented the authors rebuttal failed to address all reviewers questions and failed...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the convergence of the regularized nonparametric td0 algorithm with rkhs approximation for both the iid and markovian noise settings convergence rate bounds have been obtained numerical ...	the paper studies the convergence of nonparametric temporaldifference learning in the nonasymptotic regime all referees agree that the paper is technical sound and the result is important to further our theoretical understanding of reinforcement learning the paper merits acceptance to the conference
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose the usage of complex numbers in deep neural networks would be good to know that complex numbers n x n matrices quaternions diagonal matrices etc all can be used in neural n...	the paper proposes to deep neural network models with elements of the weight from algebras and considers a wide range of algebras and large scale promising experiments the paper raised a heated discussion pros using algebras one can hope for more efficient architectures numerical experiments on a wide range of p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper enables efficient multigoal navigation through active perception the camera of the agent which determines its limited field of view is actively controlled to turn towards scene regions that are s...	this paper proposes to decouple the camera policy from the navigation policy in goaldriven navigation agents trained using rl and builds upon the local and global mapping and planning approach by adding an additional recurrent network that takes as inputs global reconstructed maps heuristic directions and navigation ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: description this paper presents a variant of imitationbased reinforcement learning when in addition to example trajectories of an expert example trajectories of nonexperts are available in brief the meth...	this paper proposes a variant of gail that can learn from both expert and nonexpert demonstrations the paper is generally wellwritten and the general topic is of interest to the iclr community further the empirical comparisons provide some interesting insights however the reviewers are concerned that the conceptual con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes three contributions 1 a new multilingual parallel corpus that covers 1477 languages with text from the bible for the region of interest in this paper cameroon this means 22 languages i...	this paper introduces a new multilingual parallel bible dataset for african languages a new method for determining similarities between languages and a collection of experiments to evaluate methods for choosing an additional language based on a similarity and b language history to include in a multilingual mt system re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper improves rffbased hashing methods and verfies it empirically i have the following concerns of the paper limited method novelty the proposed method signrff eq 7 simply replaces the stochastic rou...	thanks for your submission to iclr this paper considers binary hashing schemes and makes two related contributions first it analyzes a simple extension to sqrff second it introduces and analyzes a novel metric for ranking called ranking efficiency some experiments are also performed on standard data sets this is ve...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work analyzes the adversarial attacks on bci systems it induces dos attack and incorporates domainspecific insights to achieve the adversarial attack the designed attack is evaluated on a public datase...	this work has triggered engaged discussions between authors and reviewers and also among reviewers these conversations have highlighted the potential weaknesses of the contribution namely that the work is a proofofconcept experimentally although arguably for ethical reasons and that the overall theoretical contribution...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new method for incorporating conditional information into a gan for structured prediction tasks image conditioned gan problems the proposed method is based on fusing features from the ...	all three reviewers argue for rejection on the basis that this paper does not make a sufficiently novel and substantial contribution to warrant publication the ac follows their recommendation
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes to learn behaviors independently from the main task the main idea is to train a behavior classifier and use domainadversarial training idea to make the features invariant to sou...	this paper takes inspiration from the brain to add a behavioral module to a deep reinforcement learning architecture unfortunately the papers structure and execution lacks clarity and requires a lot more work as noted by reviewers the link link between motivation and experiments is too fuzzy and their execution is not ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies twostage stochastic programs 2sps to address the computational complexity associated with the secondstage problem the key idea is to use a neural network to approximate the secondstage va...	in this paper the authors proposed to use learning with neural network to amortize the cost in the twostage optimization problems the authors tested the algorithms on several problems demonstrating the advantages of the proposed algorithm empirically most of the reviewers think this work is interesting although there...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper states that the model produced by differentially private federated learning to be already certified against poisoning attacks strength the paper proposes criteria for robustness of fl evaluates...	the premise is an exciting observation differential privacy in federated learning might imply being certified against poisoning attacks while this may be considered not surprising by some the connection between differential privacy and robustness is interesting to many the relationship was characterized both theoretica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests a simple denoising technique for existing semisupervised learning methods with surrogate objectives the proposed objective is shown to have less variance in some cases and is now consist...	this paper provides an interesting generalized perspective on ssl techniques and proposes a debiasing technique that can be viewed as decreasing the variance of the risk estimate the authors argue that this leads to estimators that are better than the purely supervised estimator under a rather weak assumption called mc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper argues that the standard contrastive objective adopted in largescale imagetext pretraining eg clip may lead to inconsistency in learned representations for zeroshot image classification applicati...	the authors identify the inconsistency problem in clip for the first time and proposes a simply but effective solution to the problem the experiments are comprehensive and the results are convincing reviewers questions are well addressed in the rebuttal the reviewers all agreed on accepting this paper after reading the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the major issue with this paper is that the definitions of the new diversity measures hq are not properly laid out and an explanationintuition why they would correlate with accuracy is not provided i unders...	this work studies statistics of ensemble models that capture the prediction diversity between ensemble members the goal of the work is to identify or construct a metric which is predictive of the holdout accuracy achieved by the ensemble prediction pros studies empirically how measures of ensemble diversity relate t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i have read the discussion from the authors my evaluation stays the same this paper studies an interesting question of how to learn causal effects from observational data generated from reinforcement learn...	the paper studies rl based on data with confounders where the confounders can affect both rewards and actions the setting is relevant in many problems and can have much potential this work is an interesting and useful attempt however reviewers raised many questions regarding the problem setup and its comparison to r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quality interesting problem of predicting malignancy from longitudinal scans highquality cohort of images though smallsized propose a twostream 3d convolutional neural network ts3dcnn authors call it sib...	the reviews as well as myself agree that studying longitudinal scans for nodule malignancy classification is interesting and valuable the paper is well written and clearly presented
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a comparison between two methods of parallelization of the sgd namely ssgd and dpsgd they prove theoretically that the decentralized one dpsgd adds a smoothing effect to the naive ssgd a...	this paper compares allreduce sgd ssgd with decentralized sgd dpsgd and argues that the latter can tolerate lager stepsize due to a smoothing effect induced by noise in dpsgd the reviewers found that the theoretical contribution is overclaimed by the strong assumptions needed in the theory section such as eg assuming...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes an approach to generate realistic taskspecific gaze behaviour built on top of dlbased classification and reconstruction tasks the model they propose uses a gaussian to decreases highfr...	this work proposes a neural visual attention neva algorithm that simulates biologically plausible humanlike human scanning patterns the paper is wellorganized and provides sufficient experimental results on three datasets the reviewers seem to agree on the novelty and the strong support of the papers contributions as i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this article provide a theoretical analysis of the impact of learning a shared lowrank representation in multitask linear bandits two types of linear bandits are considered the finite actions and the contin...	the paper studies the representation learning problem in the linear bandit setting where each bandit task shares a common lowdimensional representation the paper introduces a novel algorithm it provides theoretical regret guarantees and it illustrates the effectiveness of the proposed method in a number of experiments ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper adresses redundancy in group convolutional filters and the scalability of group convnets it is achieved by introducing a separable group convolution for affine lie group which allows to share the ...	the authors study separable convolutions in the groupconvolutional setting and describe experiments showing them to be more computationally efficient without loss of performance in the setting of some groupaugmented mnists and show some promising results on unaugmented cifar10 cifar100 and galaxy10 the reviewers are m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the problem of openset unsupervised domain adaptation with a method based on subspace learning specifically the proposed approach searches for two lowdimensional spaces one shared by th...	this paper proposes a new approach to domain adaptation based on subspacing such that outliers are filtered out while similar ideas have been used eg in multiview learning their application to domain adaptation makes it a novel and interesting approach while the above is considered by the ac an adequate contribution ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the correlation between the flatness of the converged local minimum and the margin the authors report experimental results that verify the positive correlation they suggest using marginba...	all reviewers explain in detail why they think the paper should not be accepted besides fixing an initially criticized format violation the authors did not respond to any of the concerns raised the reviewers and in fact they partially agree that more work in another direction needs to be done
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors present a novel regularizer to impose graph structure upon hidden layers of a neural network the intuition is that neural networks has typically symmetric computation among different channels in on...	the work presents a method of imposing harmonic structural regularizations to layers of a neural network while the idea is interesting the reviewers point out multiple issues pros interesting method hidden layer coherence tends to improve cons deficient comparisons to baselines or context with other works insuffi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proves the convergence rate of gradient flow for training twolayer linear networks in particular this paper discusses the connection between initialization optimization generalization and overpar...	the authors provide a new analysis of learning of twolayer linear networks with gradient flow leading to some novel optimization and generalization guarantees incorporating a notion of the imbalance in the weights while there was some diversity of opinion the prevailing view was that the results were not sufficiently ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an interesting combination of semisupervised learning and ensemble learning for information extraction with experiments conducted on a biomedical relation extraction task the proposed me...	given a few baselearners can we learn a metalearner that performs better than the baselearners the paper addresses this question in the context of biomedical relation extraction where training data is often small a number of baselearners are learned svm lstm logistic regression etc on a small training data which are fu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a transfer learning setting where the agent wishes to learn in a block mdp target environment with the help of an approximated latent simulator this paper proposed an algorithm that achie...	this paper studies how to improve learning efficiency in settings where the agent has access to an abstract simplified model of the world all the reviewers voted to accept and each pointed out useful clarifications and improvements to the paper the main contributions of this work are the novel problem setting algorit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is clearly written and presents an approach to efficiently utilize long range convolutions through a nonuniform fft in for coulomb particle configurations pros presents a long range convolutio...	this work proposes an efficient method for modelling longrange connections in pointcloud data reviewers found the paper to be generally wellwritten on the less positive side reviewers felt that the novelty of the work was marginal and that the experimentation limited to synthetic data in one domain was too limited thes...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focus on the catastrophic overfitting issue in fgsm adversarial training the work proposes to avoid clipping adversarial perturbations to mitigate the co and they regard adding noise as a data au...	this paper enhances singlestep adversarial training by adopting a much stronger noise for initialization the initial concerns were mostly about missing ablations and misunderstandingsconfusions which were well addressed in the rebuttal as a result all reviewers unanimously agree to accept this submission in the final ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper first investigates the problem of dimensional confounder in contrastive learning which refers to a subset of dimensions learning only taskirrelevant background information the author shows the ex...	this paper starts with the experimentally findings that the interference of task irrelevant information and the disadvantages of sample inefficiency in contrastive learning appear due to dimensional redundancy and dimensional confounder based on these experimental findings the authors propose a dimensional mask learnin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is motivated by the formal concepts of coherence and consistency in neurosymbolic ai and the fact that such concepts have not been formalized in the connectionist paradigm it claims that these co...	this paper has slightly mixed reviews trending toward a weak accept overall the papers topic and approach are overall novel supported by good experiments its an interesting paper that will likely spark further investigation and inspire other research there is still some disagreement among the reviewers with recommendat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of private sign recovery for sparse mean estimation and sparse linear regression in a distributed setting the paper proposes taking a coordinatewise median among the reporte...	the paper considers a problem of weak mean estimation under a differential privacy like constraint specifically estimating the signs of a sparse mean and not the actual values the reviewers brought up a number of concerns including the weak privacy guarantee a type of averagecase privacy other lesser concerns include...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors propose a policy gradient algorithm for solving a bayesadaptive mdp bamdp at each iteration the algorithm samples several mdps from the prior distribution and simulates a ...	the paper proposed a deep bayesian optimization approach to rl with model uncertainty bamdp the algorithm is a variant of policy gradient which in each iteration uses a bayes filter on sampled mdps to update the posterior belief distribution of the parameters an extension is also made to pomdps the work is a combina...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses state representation learning for rl from camera images specifically it proposes to use a state representation consisting of 2 or 3 parts that are trained separately on different aspect...	this paper proposes a new method for combining previous state representation learning methods and compares to endtoend learning without without separately learning a state representation the topic is important and the authors have made an extensive effort to address the reviewers concerns particularly regarding clarity...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies lipschitz lower bound of pushforward mappings on expression multimodal target distributions a particular focus is put on twomodal mixture distributions the major discovery is the connectio...	this paper proposes a theory on the lipschitz continuity of the pushforward mapping which transforms a gaussian distribution to a multimodal distribution this is a borderline paper the reviewers are generally positive about the paper and leaning towards acceptance though there is still some notable gap between the prop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written and easy to follow it was a nice read for me the paper studies the cnns like alexnet vgg googlenet resnet50 and shows that these models are heavily biased towards the texture when...	this paper proposes a hypothesis about the kinds of visual information for which popular neural networks are most selective it then proposes a series of empirical experiments on synthetically modified training sets to test this and related hypotheses the main conclusions of the paper are contained in the title and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: model compression is used to reduce the computational and memory complexity of dl models without significantly affecting accuracy existing works focused on pruning and regularization based approaches where ...	the submission proposes a method that combines sparsification and low rank projections to compress a neural network this is in line with nearly all stateoftheart methods the specific combination proposed in this instance are svd for lowrank and localized group projections lgp for sparsity the main concern about the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: topic matrix completion for recommender systems main contribution using the idea of deep prior for matrix completion strength performance it seems that the method outperforms a number of baselines o...	the focus of this paper is to analyze an end to end network to reconstruct matrices originating from noneuclidean data which are corrupted the authors present an untrained network for this task in the review period the reviewers raised a variety of concerns including concerns about novelty of the paper with respect to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper includes multiple experiments that test for a broad range of important scenarios while considering harmonization algorithm the authors designed five relevant experiments evaluating noise removal...	this paper presents comprehensive experiments with two popular approaches to mri harmonization combat and cyclegan reviewers appreciated the extent of the experiments but also had concerns about lack of certain details evaluation metrics comparison and novelty the first three have been addressed to some extent in the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary the authors propose a method to explore how neurons interact within a neural network and derive rules of interactions that can help interpret the inner workings of the neural network and open...	this paper proposes a method to explore neuron interactions within a neural network by deriving rules for the activations of units at different layers the rules can presumably help interpret the inner workings of the neural network the reviewers have very different opinions on the paper and the views did not converge ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros 1 a nice idea combining universal mdp formulation and hindsight experience replay for hrl that can deal with hierarchies with more than two levels of policies in continuous tasks 2 good empirical resul...	as per r3 this paper presents a novel approach for doing hierarchical deep rl hrl on umdps by a use of hindsight experience replay at multiple levels combined with b max t timesteps at each level by effectively learning from missed goals at multiple levels it allows for fairly dataefficient learning and can in princi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a ucb variant called regularizedofu rofu with provably nearoptimal regret rofu computes ucbs with an optimization oracle which the authors claim can be efficiently implemented for flexibl...	this paper tackles the contextual bandit problem with general function classes and introduces a novel algorithm called regularized optimism in face of uncertainty rofu although this is an important and relevant problem the theoretical contribution is rather weak due to the strong assumptions which also results in a lac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors present a traceback mechanism to associate lowest level of capsules with their respective classes their method effectively gets better segmentation results on the two relatively small datasets aut...	this paper proposes a method for tracing activations in a capsulebased network in order to obtain semantic segmentation from classification predictions reviewers 1 and 2 rate the paper as marginally above threshold while reviewer 3 rates it as marginally below reviewer 3 particularly points to experimental validation ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper intends to contribute a novel task cache as realized in ai2thor the architecture of a strong cache agent which learns reusable representations which allow significant transfer performance and nove...	motivated by the importance of gameplay in the development of critical skills for humans and other biological species this work aims to explore representation learning via gameplay in a realistic high fidelity environment inspired by childhood psychology they propose a variant of hideandseek game called cache built on ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the task of single image novel view synthesis the key message is very clear methods with explicit 3d projection mechanism like synsin better preserve observed regions whereas methods with...	the reviewers found the approach of combining implicit and explicit methods for singleview synthesis both interesting and novel all four reviewers recommended accepting the paper you addressed many of the remaining questionsconcerns in your rebuttal and in the authorreviewer discussion please go through the reviews onc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: originality the authors of the paper seem not to recognize that this problem can already be exactly solved in the discrete case by existing methods the authors write of these works our work is compleme...	in this paper the authors bring the tools of robust identification literature to bear on the problem of partial identification of causal parameters the reviewers appreciated this connection but had concerns about experiments and proper engagement with existing approaches to partial identification developed in the caus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a newly created library for a geospatial data processing the library is based on pytorch and combines the functionality of common geospatial libraries paper review for manuscript torc...	this paper develops a python library for geospatial data based on pytorch torchgeo torchgeo is a useful tool for applying deep learning methods to geospatial data the reviewers agrees the contribution of this library it will help machine learning researchers to use geospatial data and help geospatial researchers to app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new metric to evaluate gans the metric cross local intrinsic dimensionality crosslid is estimated by comparing distributions of nearest neighbor distances between samples from the real ...	the paper propose a new metric for the evaluation of generative models which they call crosslid and which assesses the local intrinsic dimensionality lid of input data with respect to neighborhoods within generated samples ie which is based on nearest neighbor distances between samples from the real data distribution a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an extension of a neural network analytic tool called neural tangent kernels to its use for decision trees and forests the focus is a previously proposed notion of soft trees a few analy...	the paper investigates the neural tangent kernel ntk of infinitely wide ensembles of soft trees having a particular soft decision functions in their internal nodes a closed form of the ntk is presented as well as a result bounding the changes of the ntk during training implications for practical training procedures ar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper analyzed a case of the stability property due to data shuffling for an expected sarsa update using linear function approximation and target networks strengths the assumptions lemmas and theorems a...	in this paper the authors studied algorithmic stability of batch reinforcement learning algorithms as well as its connection to certain generalization bounds motivated by the prior work hardt et al developed for sgd on nonconvex optimization problems while understanding the stability and generalization of batch rl is c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose to extend the standard transformer architecture by allowing it to attend over factual information represented as a large memory of dense representations of entity mentions the resulting ...	the paper proposes tome which extends transformer by attending to entity mention memory experiments are conducted on claim verification and qa reviewers generally found the paper is solid however the novelty appears to be limited and is mainly in the combination of existing models
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this model is fundamental and useful i believe there should be many applications this work already experiments on many i cannot find any clear weakness in this work the organization of this paper could be i...	meta review in this paper the authors proposed a new method for forecasting and other prediction analyses for multiple time series dynamic networks all the reviewers consider that the proposed method is fundamental and useful
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the article proposes a model for estimating physiological signals from videos the novelty of the proposed approach is to use the low attention regions to estimate a model of the signal noise using this esti...	the paper introduces a procedure that uses low attention areas to denoise temporal prediction the paper appears to focus on temporal noise as opposed to constant noise present in the video it may handle shifting shadows but not background noise the idea is certainly interesting however the experimental protocol suffe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the assumption original darts is lack of theoretical guarantees this paper supports the theoretical explanation of operation selection in darts it shows that the operation weights is not only associated to ...	the paper proposes a novel architecture selection method for differentiable nas based on influence function calculation during the discussions reviewers still found several weaknesses of the paper including 1 the novelty of the application of influence function in nas and it requires a series of approximation 2 the upd...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces an architecture which supports multiple modalities text image and textimage via a novel transformer module mome in which blocks consist of modality specific experts with shared selfatt...	after the rebuttal and discussion this paper unanimously receives positive rates as the reviews show satisfaction on the authors feedback the final draft needs to respect it accordingly additionally reviewers suggest several postrebuttal points so the final draft may need to clarify them including the comparison with f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors explore the offlineonline setting for rl where the agent has access to a batch of data to train on but is also allowed to learn during the evaluation phase in an online manner comp...	it seems that the reviewers reached out a consensus that the paper is not ready for publication at iclr the reviewers raised concerns including the empirical observations are not supported by theoretical analysis the proposed algorithm is a simple modification to an existing algorithm concerns with with the novelty of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an invariant representation learning method across multidomain from the perspective of the anticausal learning process they learn invariant and variant representation simultaneously it i...	in this paper the authors propose an invariant representation learning method across multidomain from the perspective of the anticausal learning process all the reviewers consider this paper is clearly written and novel
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have an observation that vits trained on imagenet heavily depend on local features but fail to use the global features shape or structure to address this issue and improve the robustness of vits...	summary authors present an approach to improve the robustness of vision transformers by mapping standard tokens into discrete tokens that are invariant to small perturbations method is applied to a variety of backbone architectures and evaluated on a range of out of distribution forms of imagenet test set significant p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary well written paper with solid experiments on an extension of two prior works this is likely of interest good quality and i recommend to accept the paper at iclr there are no extensions that i would...	this paper uses an extension of hologan for few shot recognition and novel view synthesis all but one reviewer gave a final rating of accept these reviewers were concerned that the submitted version of this work had not adequately placed this work in context with prior art however during the discussion these concerns s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study causal discovery of linear models in the presence of measurement errors and unobserved confounders for the situation where the mixing matrix can be identified up to column scaling and perm...	there is a consensus among all expert reviewers that the paper provides solid and rigorous theoretical results that contribute to the subfield of causal inference especially the identifiability of linear nongaussian models when there is a measurement noise although the authors could have done better at providing concre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary virtualization technologies are widely applied to and researched in different areas including cloud computing server utilization improvement and high performance computing despite the applica...	metareview security area chair the paper presents a systematization of virtualization techniques based on isolation capabilities focusing on the linux kernel the paper targets isolation by decomposing and describing reltaed components in detail while the paper does a great job at introducing the components and explai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes to consider the importance of each parameter in the posttraining quantization of weights the authors propose to use weight magnitude as the importance indicator and to minimize ...	the paper builds upon a recent paper biqgemm providing a binary coding based post training quantization technique the authors show how to combine magnitudebased importance metrics to these techniques and achieve superior performance the use of importance metrics for quantization and pruning is not new and magnitudebase...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper a bayesian optimization algorithm using joint entropy search jes a new entropy search type acquisition function is proposed to efficiently estimate the pareto solution set for multiobjective o...	the authors propose an entropy search method for multiobjective bayesian optimization that considers the mutual information gain of the location and value of the optimizer simultaneously while selecting query points most reviewers found the approach to be interesting the work is commendable in its attempt to rigorous...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method to improve the coding efficiency of the baseline variable bitrate model based on adaptive quantization quantization steps controlled by quality scaling factors while at the same...	thanks for your submission to neurips initially this paper was leaning reject with three negative reviewers who had various concerns the rebuttal really helped a lot and two of the negative reviewers raised their scores based on the rebuttal leading to 3 of 4 accept scores the final reviewer also mentioned in a comm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is concerned with learning prediction sets in a pac sense under the covariate shift assumption given a model fxy the form of the sets is restricted to ctaux y fxy ge tau and the problem is set ...	all reviewers were clear in their opinion that the paper deserves to be accepted one reviewer also indicated a wish to increase the score from 6 to 7 but was not able to do that so it isnt reflected in the final score the reviewers appreciated the methodological contribution made by the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors are interested in whether particular biologically plausible learning algorithms scale to large problems object recognition and detection using imagenet and ms coco respectively in partic...	this heavily disputed paper discusses a biologically motivated alternative to backpropagation learning in particular methods focussing on signsymmetry rather than weightsymmetry are investigated and importantly scaled to large problems the paper demonstrates the viability of the approach if nothing else it instigat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents an approach to modify face memorability as a facial attribute using generative adversarial networks gans they essentially propose memorability modification vector their approach first det...	the reviewers raised a number of major concerns including the limited novelty of the proposed inadequate motivation of the design choices and most importantly insufficient and unconvincing experimental evaluation presented the authors rebuttal addressed some of the reviewers questions but failed to alleviate all review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel inductive method for relation prediction over heterogeneous graphs the method extracts supporting and refuting subgraphs to judge whether a relation exists between two nodes in th...	the paper presents an approach to predict relations between node pairs in heterogeneous graphs with application to recommendation and knowledgebase completion the authors approach is to compute similarities between subgraphs that are neighborhoods of nodes where the relation holds or not to score a relation the autho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides an indepth examination of language model based translation models and the impact of various parameters in the learning process they pick the classic encoderdecoder based translation mo...	this paper has conducted extensive experiments to examine the scaling and transferring laws of lms for machine translation and has concluded several interesting findings which could be inspiring to the future work the main concerns from reviewers are that the novelty of this paper is not enough in addition the experim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper seeks to learn a representation space for trajectories that discards state elements that are not affected by the agent to do so it proposes an objective to predict the last observation in...	while the general idea of the paper is certainly interesting and highly relevant there is consensus that the paper cannot be published in the current form there were serious concerns about the correctness and generality of the method clarity of presentation experimental evaluation the authors graciously accepted th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new assistant tool for autodesk fusion 360 target at novice users that notices regularities equal sizes parallelism ratios etc and suggests to add those as constraints these regularitie...	the recommendation for this paper is acceptance all reviewers agree that the paper tackles an important problem and is wellwritten several concerns that were raised and that should be addressed in the revised version include there is no validation in the paper a user study should be conducted a more complex example sho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a benchmark that aims to systematically evaluate models ability in learning representations of highlevel variables as well as causal structures among them the authors introduce...	this paper proposes a suite of benchmark visual modelbased rl tasks to evaluate causal discovery approaches under systematically varying causal graphs despite some disagreement on this point among reviewers i would come down on the side of saying that a betterexecuted version of this paper would have been a good fit at...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents several experiments that make use of combined knowledge from language models and unstructured knowledge bases the paper is mostly wellwritten though some choices in presentation made it ...	this paper proposes new ways to combine pretrained models with external knowledge for commonsense reasoning tasks all the reviewers thought the paper was wellexecuted and interesting one reviewer raised some concerns about overclaiming and paper organization which the authors have promised to address
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work addresses a very relevant problem of domain adaptation and finetuning of deep learning in the field of medical imaging authors use a variety of datasets for different relevant medical tasks to v...	this paper introduces a comparison between transfer learning approaches namely finetuning the batch norm affine parameters and finetuning model parameters at different levels experiments were conducted on 9 datasets 4 models and 5 variations of finetuning that target the testing of the following hypothesis finetuning ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposes a new framework skipw to strictly limit the computation in rnn pros 1 the idea of strictly limiting the computation in rnn is new 2 the summary of related works is clear cons 1 the ...	the authors did a good job responding to reviewer concerns while the reviewers still consider the method described in the paper to not be especially novel at least one is impressed by the practicality imo the authors attention detailed ablations and analysis postreview makes the paper worth including in the conferen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: wavelet compressed convolution wcc is introduced which addresses the problem of compressing cnns to reduce memory and runtime requirements wcc is motivated by the fact that aggressive quantization fp32 int...	the paper proposes a method for compressing feature maps in convolutional neural networks to reduce the computational cost the method is tailored to imagetoimage networks where existing compression schemes do not work well after the rebuttal all reviewers support the publication of the manuscript the reviewers note th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a diagonal quasinewton method by approximating the hessian with a diagonal matrix the paper proves a regret bound for the method in the convex case and shows that in the nonconvex setting...	this paper proposes a diagonal approximation to the hessian in a quasinewton method for non convex stochastic optimization problems they combine several good existing ideas and show empirically that the method performs well on several learning tasks but reviewers found that the comparisons were limited in that as an ap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i have not had the time to write a detailed review but i have gone through the paper carefully motivation the paper is motivated well and presents an interesting mathematical derivation that drives the subs...	this paper proposes a contribution aiming at understanding the cause of errors in fewshot learning the motivation is interesting but the reviewers pointed out many aspects that require more precisions and polishing in addition to the fact that the upper bound provided it rather loose the rebuttal provided addresses som...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes an analysis way of a latent space of gan in a gan architecture agnostic way they use the riemannian manifold analysis to investigate image manifold which leads to a simple algor...	this paper presents several analyses on the geometry of gan generators through the lens of riemannian geometry showing interpretability of the leading eigenvectors of the hessian homogeneity of the space and more efficient latentspace inference through preconditioning reviewers found the revised paper wellwritten and c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method works as follows given samples are partitioned into two parts one is for classifier training and the other is for data synthesizer training both are trained in a differentially private m...	the paper surveys existing differentially private data synthesis methods and introduces an algorithm that learns both a generator and a classifier in a differentially private mode the problem is highly timely and important results are promising main remaining concerns after discussion between the reviewers and the au...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission introduces a generalization bound for prototypical networks that does not depend on assumptions on the classconditional distributions this bound decreases as the variance in norm of the featu...	this paper explores prototype vs linear classifiers for fewshot learning it has been found that pretraining a classifier network followed by training a linear head can produce competitive results to metatrained prototypical networks a natural question therefore is whether one can directly derive prototypical classifier...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work explores three gradient alteration methods mgda pcgrad and cagrad used for multiobjective optimization and shows that these methods are not guaranteed to converge to pareto optimalcritical point...	this paper analyses a multiobjective minimization problem authors show that several methods such as pcgrad mgda and cagrad can fail to even converge to pareto optimal solutions on top of that they are mostly analyzed in a batch setting therefore the authors design a carefully crafted problem where these phenomena can ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses the contrastive embedding in lowdimensional space the authors mentioned that contrasitive embedding in high dimensional space would result in the curse of dimensionality and making it d...	this paper proposes a new plugin style method for contrastive selfsupervised learning to yield lowdimensional embeddling the authors argue that highdimensional embeeding induced by negative pairbased constrastive learning leads to curse of dimensionality which might harm the generalization performance so the authors e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview in this paper the authors proposed a new activation function called arelu which introduces an attention mechanism to the original relu function based on this new activation function the output wil...	i would like to thank the authors for the their time and effort on this work the paper is proposing an activation function that combines relu like piecewise activation functions and a primitive attention mechanism then they show that their proposed method works better in transfer settings i think the approach authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies spectral algorithms for clustering under individual fairness constraints this is the first spectral algorithm for this setting the only previous fair spectral clustering algorithm was by k...	the paper presents a new interesting spectral generalization of fair clustering the new notion captures many of the previously introduced notion and unify few of them the authors present also an algorithm for the new notion overall the paper presents interesting idea and it is nicely written so it would be a nice cont...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new algorithm for learning linear sems using cholesky factorization of the covariance matrix induced by the sem while the paper essentially follows the ideas in ghoshal and honorio 2018...	this paper proposes an algorithm for learning linear sems via the cholesky factorization and provides a detailed theoretical analysis of the algorithm after an extensive discussion and clarification from the authors there was a consensus that the theoretical results are incremental compared to existing work and many of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a method for amortizing latent variable sampling that is applicable to a variety of problems the demonstrated examples show that generative models using their proposed method do better ...	the paper had three borderline reviews while the idea of posterior sampling of a neural network is potentially useful and langevin dynamics are a way to attempt to address that the reviewers did not appear convinced by the experiments and what the mcmc sampling was doing wasnt really front and center there
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a benchmark suite of offline modelbased optimization problems this benchmark includes diverse and realistic tasks derived from realworld problems in biology material science...	this paper proposes a benchmark suite of offline modelbased optimization problems this benchmark includes diverse and realistic tasks derived from realworld problems in biology material science and robotics contains a wide variety of domains and it covers both continuous and discrete low and high dimensional design spa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new method called deepmed for performing semiparametric mediation analysis with dnns their main theoretical contribution is using the multiplyrobust behavior of ifbased estimators fo...	the decision is to accept the paper the paper provides a theoretical treatment of using dnns for nuisance function estimation in multiplyrobust mediation analysis the theory developed here is dnnspecific and novel synthetic experiments that better test the ability of nuisance functions to adapt to complex groundtruth ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work provides an empirical evaluation of similarity metrics used in examplebased explanations methods where the goal is to provide decision support examples in the training set for a blackbox...	this paper performs an empirical comparison of similaritybased attribution methods which aim to explain model predictions via training samples to this end the authors propose a handful of metrics intended to measure the acceptability of such methods while one reviewer took issue with the proposed criteria the general c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers dynamic modifications of a gnn where nodes are inserted node features are augmented and edges are modified near the boundary of a triangulated surface mesh using heuristics the main int...	this paper describes means of incorporating boundary conditions into graph neural networks used for simulation assorted techniques dynamically adjust computations near a boundary reviewers agreed this work is well written but disagreed regarding whether the scope of the contribution and application which focuses main...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes two major improvements over brac to address the key challenge of offline rl outofdistribution action sampling the first improvement is to replace the samplebased divergence calculation w...	the paper presents an interesting perspective on improving offline rl within brac framework given the improvements over brac the paper is well organized and easy to understand the overall results pique interest in comparison with more recent offlinebatch rl papers brac bear cql the results in this paper bring bracf...

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