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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new image enhancement specific for low light images they exploit the concepts of geometric and lighting consistency together with a contextual loss criterion extensive experiments are... | none of the reviewers championed the paper many weaknesses were shared across the reviewers none of the individual contributions is individually novel paper is not well written and the results do not show significant improvement over the prior state of the art no rebuttal was provided the ac agrees with the reviewers t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a training framework named layerwise orthogonal training lot that aims to train 1lipschitz convolution layers effectively and improves the certified robustness of lipschitzbounded models... | this paper proposes a training framework named layerwise orthogonal training lot that aims to train 1lipschitz convolution layers effectively and improves the certified robustness of lipschitzbounded models the paper also proves that semisupervised learning can benefit the robustness of lipschitzbounded models all re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of robustness evaluation for ensemblebased defense methods authors argue that existing sota whitebox attack methods may overestimate the robustness of ensemble defenses bec... | this paper introduces a new way to generate adversarial examples for defenses that work by ensembling over many different independent predictors the reviewers all liked this paper and believe that the results were a useful improvement on prior work while the margin of improvement is not massive and it is a smaller gap ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an approach to robust representation learning of observations for reinforcement learning by training a model to align the euclidean distance between two observations with bisimulation me... | this paper proposed using the state bisimulation metric to learn invariant representations for reinforcement learning the method is generic effective and is supported by both theoretical and experimental results all reviewers and i think this is a strong contribution to the area |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a gaussian process method focusing on data in which the number of samples and the number of dimensions are both high the gp prior is built upon bezier surfaces and is formulated as a comb... | the submission considers bernstein polynomialbased kernels for largescale gaussian process regression to deal with high dimensional inputs two approximations were proposed a parameterisation to amortiseshare parameters between the random control points of the polynomials and ensembling over randomly permuted orders in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles a problem of knowledgegrounded openended generation and proposes a new model that is an extension of an endtoend training of the retrieval and the generator in particular there is another ... | the authors study the problem of openended knowledgegrounded natural language generation in the context of freeform qa or knowledgegrounded dialogue focusing on improving the retrieval component of the retrievalaugmented system by retrieving more relevant passages the generations are more grounded in retrieved passages... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new version of transformer called concept transformer with the aim of improving the interpretability of its attention by computing cross attention between the inputs features and a set ... | this paper proposes a generalization of the standard transformer attention mechanism in which keys and queries represent abstract concepts which must be specified a priori this in turn yields concept embeddings and logits as intermediate network outputs providing a sort of interpretability reviewers agreed that this is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on developing a robust gnn model to defend against adversarial attacks on both graph structures and node features more specifically a general unified graph neural network is proposed to l... | the paper studies a robust gnn against adversarial attacks on both graph structure and node features the reviewers agree that the paper need to improve in terms of novelty and more technical details to meet iclr standard |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces amortized proximal optimization apo that optimizes a proximal objective at each optimization step the optimization hyperparameters are optimized to best minimize the proximal o... | this paper proposes an amortized proximal optimization method to adapt optimization hyperparameters empirical results on many problems are performed reviewers overall find the ideas interesting however there still are some questions whether strong baselines are used in the experimental comparisons the reviewers also ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is established by a discovered phenomenon that in distillation not all the classes performance is improved although the student is improved significantly thus the authors explore a method tha... | this paper studies knowledge distillation and explores why distillation gains are not uniform reviewers consistently find this paper an interesting read but had common concerns on generalizability and limited improvementscontributions in general reviewers mostly gave a score that is below the acceptance threshold or ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a novel benchmark for continual graph learning the benchmark factorizes continual graph learning tasks into node and graphlevel tasks and taskincremental and classincremental settings the... | this paper had 7 reviews the reviewers comments were overall favorable from the point of view of quality clarity ie the paper is wellwritten and its main idea is easy to flow originality this work proposes a novel benchmark for continual graph learning and significance a benchmark for continual graph learning cglb is a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an interesting method to train a quantized neural network with a natural gradient which considers the curvature information of the model they also provide an efficient way to approximate... | the reviewers unanimously raised concerns over the clarity and technical correctness of the theory and the imagenet experiments during the first round the authors submitted a highly revised version during the rebuttal which allayed concerns for multiple reviewers however all the reviewers raised the concern that the pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
semantic segmentation using deep learning techniques becomes challenging if the input images are of high resolution the image resolution can be lowered and the network learned but downsampling based on unif... | overall this paper receives positive reviews the reviewers find the technical novelty and contributions are significant enough for acceptance at this conference the authors rebuttal helps address some issues the area chair agrees with the reviewers and recommend it be accepted at this conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the reddit photo critique dataset rpcd a new dataset of 74k highresolution images and 220 associated comments from photography groups on reddit an aesthetic score judgment is assigne... | this paper introduces a new dataset for critiquing photos mining 74k from the rphotocritique subreddit and an algorithm for transforming the reddit comments into a judgement score between 01 they then introduce the task of predicting these judgement scores from the images all reviewers find this to be a useful contribu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a novel benchmark for continual graph learning the benchmark factorizes continual graph learning tasks into node and graphlevel tasks and taskincremental and classincremental settings the... | this paper had 7 reviews the reviewers comments were overall favorable from the point of view of quality clarity ie the paper is wellwritten and its main idea is easy to flow originality this work proposes a novel benchmark for continual graph learning and significance a benchmark for continual graph learning cglb is a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a metatailoring method where the auxiliary tailor loss is used to adapt the model parameters at test time the paper also provides a theoretical analysis of the advantages of ... | this work proposes new learning algorithms that finetune tailor a model at testtime using unsupervised objectives this formulation allows for introducing an inductive bias into the model that might improve generalization on unseen data the proposed algorithm is demonstrated on two example tasks the reviewers like the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
fact a dataset of an integer sequence dataset consisting of data from both organic and synthetic sources a variety of tasks designed to evaluate integer sequence models a collection of the performance o... | this paper presents a large dataset of integer sequences and several tasks for evaluating modeling of those sequences the reviewers generally appreciated the careful curation of the dataset the range of models explored and the potential application domains gvg5 and gece also bring up a point about human performance w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a framework for more reliable code generation via incontext learning of gpt3codex the paper is motivated by the finding that gpt3codex often generate programs with syntactic and semantic... | the paper gives a new method for code generation from natural language queries using pretrained models the approach follows two steps 1 given a query it selects a set of similar training examples using a method called target similarity tuning and 2 it then uses a method called constrained semantic decoding built on top... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides an improved taxonomy for anomalies in time series data it creates 35 synthetic datasets and identifies 4 realworld datasets and benchmarks 9 algorithms on them anomaly detection in time ... | this paper introduces a set of real and synthetic datasets benchmark algorithms and improved taxonomy for anomalies in time series data reviewers appreciated the overall contribution though challenged the work for potential oversimplicity and existing entries in the space |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose using transformer to imitate the hyperparameter optimization the authors claim this is the first work in the area and claim the proposed method exceeds several classic hpo methods streng... | in this work authors investigate whether transformers can be used for hyperparameter optimization the work is interesting and authors outline how they frame the problem and solve practical difficulties the resulting method is shown to be able to learn to hpo from historical hpo runs and textbased metadata some implemen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper offers an indepth analysis of attention in largescale language models including albert and xlnet key headline findings attention maps highlight amino acid pairs that are far in sequen... | this paper offers an indepth analysis of attention in largescale language models including albert and xlnet in the context protein representation learning and obtains many interesting findings this is not a typical paper with novel technologies proposed instead it studies the existing technologies in a specific biology... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of adding entailment relations in an eventuality activities states events kg the main contribution is a pipelined unsupervised method for this problem the method is divided... | this paper proposes a novel framework for acquiring eventuality entailment knowledge to construct a knowledge graph the multistep construction process is well explained and has clear justification however the paper could be stronger if it expands more on convincing audience that such knowledge graph is a useful represe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of designing local robustness certification procedures for neural classifiers the primary insight of the paper is that given an input x instead of simply calculating the rad... | the paper proposes a very simple idea that can improve one of the strongest robustness certificates most of the concerns were minor and they were well addressed during the rebuttal phase the reviewers were mostly happy with the current paper though shared a few remaining concerns which could significantly improve the m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an inputdependent low rank approximations of weight matrices in neural nets with a goal of accelerating inference instead of decomposing a matrix a layer to a low rank space like previous... | the paper is clearly written and well motivated but there are remaining concerns on contributions and comparisons the paper received mixed initial reviews after extensive discussions while the authors successfully clarified several important issues such as computation efficiency wrt splitting pointed out by reviewer 4... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission describes a system for applying machine learning to interactive theorem proving the paper focuses on two tasks tactic prediction eg attempting a proof by induction and position evaluation the... | this paper provides an rl environment defined over coq allowing for rl agents and other such systems to to be trained to propose tactics during the running of an itp i really like this general line of work and the reviewers broadly speaking did as well the one holdout is reviewer 3 who raises important concerns about t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel predictoptimize framework named branch and learn that extends the work of 5 to problems solvable via a recursive algorithm experimental results show that branch and learn performs... | this paper considers the general setting of the predictoptimize framework where optimize part of the problem is typically solved via a recursive algorithm the paper proposes a new exact algorithm to directly optimize the regret in this setting an extensive evaluation of the new methodology is also provided this paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the batch confusion norm bcn for dealing with both finegrained recognition and longtailed recognition simultaneously specifically bcn considers the confusion regularization within each t... | the authors address the problem of finegrained image classification they propose a batch based regularizer called the batch confusion norm bcn to encourage less over confident predictions they also tackle the problem of class imbalance during training by adaptively weighting the bcn loss at the class level to take the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces novel results on the optimization and generalization of threelayer networks optimized with a variant of gradientdescent the goal of the analysis introduced in the paper is to obtain bou... | this paper goes beyond the ntk setting in analyzing optimization and generalization in relu networks it nicely generalizes ntk by showing that generalization depends on a family of kernels rather than the single ntk the reviewers appreciated the results one thing that is missing is a clear separation between ntk result... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new regularizer to improve gan training by noticing that the discriminator does not always reach optimum at each iteration this paper proposes adversarys assistant advas for helping th... | the paper received low ratings and the reviewers pointed out a number of issues the authors short response failed to address these concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting idea to improve the softmax embedding performance with heatedup strategy it is wellwritten and the proposed method is easy to implement several experiments on metric learn... | 1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the method and justification are clear the quantitative results are promising 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your expert opinion be sure to indicate which wea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea is simple and promising generalize amsgrad and momentum by hyperparameterizing the p12 in denominator of adam term to be within 012 with 0 being momentum case it was good to see the experiments us... | this paper proposes a simple modification of the adam optimizer introducing a hyperparameter p with value in the range 012 parameterizing the parameter update thetanew thetaold mvp where p12 falls back to the standard adamamsgrad optimizer and p0 falls back to a variant of sgd with momentum the authors motivate the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first proposes an intuition that when training neural network weights tend to be correlated it then suggests to make this correlation more specific and does so using a heuristic algorithm based o... | this paper proposes a method called approximate empirical bayes to learn both the weights and hyperparameters reviewers have had a mixed feeling about this paper reviewers agree that the novelty of this paper is limited since aeb is already a well known method in fact iterative conditional modes is a well known algorit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new type of activation function called trainable matrix activation functions tmaf to replace the existing activation functions in neural networks such as relu tmaf is realized using ma... | the paper proposed a new kind of activation function called matrix activation function that can be learnt jointly with the weights and biases the paper got 2 strong rejects and 3 rejects the major challenges include unclear motivation limited novelty incomplete related work weak experiments and poor paper writing the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to augment graph neural networks with awareness of global graph information based on memory neural networks while this work attempts to leverage the memory networks for latent represent... | in this paper the authors proposed a method to handle the problem of lump gnn architecture this problem is indeed important and the proposed method has some merits however the proposed approach is only applicable to node classification moreover the proposed approach shows the similar theoretical results of sato et al ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a dataset a trained evaluation metric and a leaderboard for evaluating discourse phenomena for machine translation they test this on a range of discourse level translation models and dev... | this paper introduces a dataset and a trained evaluation metric for evaluating discourse phenomena for mt several contextaware mt models are compared against a sentence level baseline the paper develops metrics which evaluate the models according to their performance on four discourse phenomena anaphora lexical consist... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an evaluation framework for explanatory methods that uses human ability to predict a models predictions as a measure of the utility of the explanations the paper considers 3 scenarios f... | this paper introduces a human evaluation framework for benchmarking current explainers there was an engaged discussion between authors and reviewers many concerns were clarified and the average score was raised from 475 to 55 some concerns remain regarding the intrinsic limit of human evaluation but overall there are ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the lowrank phenomena in the context of nonlinear neural networks in this work the authors prove via a tree network transformation of their initial network that there exists some matrix i... | summary lowrank bias in nonlinear architectures strengths significant theoretical contribution well written detailed sketch of proofs weaknesses more intuitions desired restrictive assumptions discussion authors made efforts to improve the discussion in response to 6p7z authors agree with eeoo about as... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros this paper is very wellwritten and motivated the train of thoughts is explained very clearly such that i admittedly not being an expert in this field was able to follow the idea to unify invaria... | the paper offers a more systematic treatment of various symmetryrelated results in the current literature concretely the invariance properties exhibited by loss functions associated with neural networks give rise to various dynamical invariants of gradient flows the authors address these dynamical invariants in a unif... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows the more detailed steps and pseudocodes for finding fronddoor adjustment sets in causal graphical models starting from the definition of front door criteria this paper goes through the impl... | the paper presents new algorithms for finding and enumerating sets satisfying pearls frontdoor fd criterion given a causal diagram while the reviews have made some helpful suggestions which the authors should implement they all agree that the paper makes a solid contribution to our understanding of this topic |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is to propose a sequential test for subgroup treatment effects based on value difference named subtle to address these two problems including a fixedhorizon framework and identifying a subgroup... | in this paper the authors propose a test for subgroup treatment effects in settings where data is obtained online via a method they call subtle the authors adopt a semiparametric generalized linear model approach to modeling nuisance functions the authors derive the form of the distribution of their test statistic in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission works on an interesting problem in image registration overall the paper is well written and easy to understand although the proposed method is not brandnew it looks reasonable and has the pot... | the authors present a machinelearning based diffeomorphic registration with the main contributions being an nmi loss function and bspline representations the reviewers were initially split with the main concerns being the lack of novelty and improved performance nmi is by no means a novel loss function or the only on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper looks at an important problem combinatorial optimization that arises in several realworld settings next the paper focuses on a influential paper in the field li et al 2018 200 citations so far tha... | i would like to thank the authors for having managed a thorough discussion despite the complexity of the task at hand eg bevm during discussion the reviewers clearly converged to accepting the paper praising the importance of the problem tackled and the setup put in place to effectively tackle the challenge at hand al... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of bilevel optimization in particular it considers algorithms based on inexact implicit differentiation where the inner problem and the implicit differentiation are not solved ... | the paper presents a quite rigorous analysis of approximate implicit differentiation with warm starts applied to strongly convex upper levelstrongly convex lower level and nonconvex upper levelstrongly convex lower level bilevel optimization algorithms in a very general yet also very practical framework they allow for ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies an interesting problem of counterfactual video prediction which aims to predict the future frame d based on the initial frame c and an observed video sequence ab ab can be seen as a demon... | this paper introduces the filteredcophy method an approach for learning counterfactual reasoning of physical processes in pixel space the approach enables forecasting raw videos over long horizons without requiring strong supervision eg object positions or scene properties the paper initially received one strong acce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies a class of statistical estimation problems of sensitive data d on riemannian manifolds mathcalm which can be formulated as minimizing a utility function ux d over xinmathcalm to this end t... | the reviewers agree that the paper should be accepted albeit with a mix of the level of acceptance i agree the presentation of the paper could be better |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a geometric method for image editing with pretrained stylegan2 the idea is simple editing is performed by constraining the editing path on the manifold the simplest way of making this i... | the initial reviews for this paper were diverging after the rebuttal all reviewers have reached the consensus of recommending the papers acceptance some reviewers have concerns regarding the novelty of the paper however they appreciate that the paper is ell written and the empirical results are interesting following th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an opensource benchmark called neural testbed to evaluate the quality of neural networks predictive distribution instead of using a finite collection of datasets the neural testbed ado... | getting a reasonable estimation of joint predictions is crucial for many uncertainty estimation tasks the paper proposed a set of benchmarks for predicting joint probabilities of the outputs over a few input examples the proposed synthetic tasks are easy to deploy and test on most bayesian methods including bayesian ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose imagenetua a framework to evaluate the effectiveness of testtime unforeseen adversarial ml attacks in this particular context the authors observe that attackers are not limited... | in this paper a defense method against testtime adversarial ml attacks is proposed unfortunately it is not clear whether the proposed method is practically useful or not because the types of attacks assumed in this paper are too simple and heuristic also the position of the proposed method in the vast amount of existin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide a good idea to solve rubiks cube using an approximate policy iteration method which they call it as autodidactic iteration the method overcomes the problem of sparse rewards by creating ... | the paper introduces a version of approximate policy iteration api called autodidactic iteration adi designed to overcome the problem of sparse rewards in particular the policy evaluation step of adi is trained on a distribution of states that allows the reward to easily propagate from the goal state to states farther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes the use of sequence models sms specifically transformers to implement the multiagent advantage decomposition theorem this is done by introducing the multiagent transformer mat an encoderd... | the reviewers are largely in consensus that this is a wellexecuted application of a highly relevant technology transformers to an interesting and challenging problem with pleasing results i believe the community will be quite interested to see this development presented at neurips note i agree with reviewer meib that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a regularization approach for heteroskedastic data that regularizes in a datadependent fashion so different regions of the data spaces may be regularized differently by preferentially ta... | this paper got 2 clear acceptance and 2 borderline recommendation the main concerns lie in the clarity of the experiment results and settings ar3 the authors address these questions in their response ar2 has two important questions one is whether the simplified assumption holds in the considered very complicated settin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies sequential bilateral trade where sellers and buyers valuations are adversarially chosen the paper considers two types of posted price mechanisms 1 mechanisms that post a single price and 2... | this is an interesting paper on bandit with nontrivial structure and algorithms all the reviews are positive as is my own opinion i quite happily suggest acceptance for this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tried to formulate the selection of candidate set of approximate nearest neighbor ann search as a multilabel classification problem and proposed a theoretical framework with experiments to show t... | in this paper the authors propose a novel multilabel classification framework in the spatial partitioningbased method of approximate nearest neighbor search the space partitioning based ann search algorithm outputs the nearest neighbor candidate list based on the index structure in this paper the problem of candidate ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method of extracting document class labels from the wikipedia category hierarchy the set of subareas on stackoverflow and the list of subreddits on reddit these pairs are then used to ... | the reviewers agree that the resource presented is likely to be of interest to the community however they also point out that the paper has methodological issues eg the resource is not compared as such to any other resources to demonstrated its value the models used in the comparisons are out of date and some of the co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the presented work addresses the task of robotic manipulation tailored to environments containing many objects task planning in such environments entails large number of possible combinations of actions giv... | this paper presents a gnnbased attention mechanism and tests it on a robotic stacking task while all the reviewers agree that this work is novel and interesting they also are unanimous even after the rebuttal in pointing to the insufficient experimental evaluation of the proposed method i encourage the authors to inc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for reconstructing trajectories of protein structure from md simulation the main technical contribution is a geometric autoencoder architecture with separate latent spaces for r... | this paper addresses an interesting learning problem of a generative neural network on a simulated ensemble of protein structures obtained using molecular simulation to characterize the distinct structural fluctuations of a protein bound to various drug molecules the main technical contribution is a geometric autoencod... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a continuoustime flow which is motivated from continuoustime gradient flow in the mongeampere equation in optimal transport theory they relate the resulting generative model to... | this paper develops a generative density model based on continuoustime flows on a potential field strengths the paper contains interesting ideas and connections to physics in particular the enforcement of symmetry in a computationally cheap way weaknesses the main quantitative results of this paper are undercut by... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the general idea of combining data of different laparoscopic surgeries due to same similar steps is reasonable however the applied strategy of freezing a feature extractor trained on a single surgery is n... | the reviewer agree that the paper shows an rounded analysis of an intersting problem albeit with little methodological novelty the authors hae taken onboard the reviews and improved their manuscript accordingly |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of architecture search and specifically seeks to do this without having to train on proxy tasks where the problem is simplified through more limited optimization architectu... | this paper integrates a bunch of existing approaches for neural architecture search including oneshotdarts binaryconnect reinforce etc although the novelty of the paper may be limited empirical performance seems impressive the source code is not available i think this is a borderline paper but maybe good enough for acc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main strength of the paper is that it shows some performance advantages over closest work in the space eg dls see table 1 the authors argue that their simpler method has different types of benefits they... | meta review this paper proposes a latent space hawkes process to model continuoustime networks the reviews all agree that this paper is well presented has clear motivations and has sufficient empirical evaluations one concern is that the underlying idea is incremental |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
629 this paper studies data efficiency and asymptotic convergence rate of deep reinforcement learning and proposed a new algorithm called aqe and claims the algorithm are both fast in both senses the paper ... | this paper introduces a modelfree rl algorithm claiming sota performance all but one reviewer agreed on rejection 1 the empirical results are based on only 5 seeds too low and the plots across 5 domains show no clear evidence of improved performance due to overlapping error bars the papers poor empirical practice does... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
article is wellwritten and it is easy to understand authors demonstrate good knowledge on domain specific information related to how anterograde and retrograde tracers produce contrast in the image the s... | the contribution of the paper is to apply a wellknown deep learning approach to the problem of anterograde tracer images for such paper some more quantitative evaluation would be needed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes to retrospectively benchmark the sampleefficiency on widely used simulated deep rl benchmarks such as atari and dmcontrol across the years the paper shows some interesting trends... | although all reviewers agree that this is an interesting analysis of sample efficiency in deep rl over the past few years there is also a consensus that it is not enough material for an iclr paper i also share this sentiment which motivates the reject decision this work could have been made stronger by reproducing prev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims at addressing the estimation error caused by partial observation in value decomposition methods a new framework leverages assistive information generated from counterfactual predictions of o... | after reading the reviews and feedbacks i lean towards acceptance a majority of reviewers gave a positive score after the rebuttal period and some concern were answered in the authors response specifically authors have shown that the recent baselines they use outperform other baselines and therefore those do not need t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the goal here is multitask learning and generalization assuming that the expected onestep reward for any member of the task family can be written as phisast w the authors propose universal successor feature... | this paper addresses an importnant and more realistic setting of multitask rl where the reward function changes the approach is elegant and empirical results are convincing the paper presents an importnant contribution to the challenging multitask rl problem |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents epnnetvlad a method for 3d point cloud based place recognition using se3invariant features the key design of epnnetvlad is that it leverages the equivariant point network epn proposed i... | main strengths 1 introducing se3 equivariance into 3d descriptor learning is a nice contribution main weaknesses 1 novelty needs to be further justified 2 core premise of the method needs further explanations particularly on whether the method is practical in reallife applications that will experience different observ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to infer the structure of the underlying graph where each agent is performing strategically initially it compares three types of games and then it proposes a mechanism that can learn the netw... | the paper introduces a transformerlike architecture to perform network inference in network games while the reviewers acknowledge that the research direction is interesting they raise concerns regarding the significance of the contribution in terms of methodology particularly in light of the state of the art and the ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of task grouping by using an efficient and effective metalearning framework the authors propose to use a metalearning algorithm which predicts the pertask performance gains of... | the overall idea of using a metalearning network with an active learner for grouped multitask learning is interesting the experimental results provided in the original submission and rebuttal are extensive to verify the effectiveness of the proposed method a major limitation of the proposed method is the high computati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
postrebuttal the responses have been persuasive enough i am raising my score with an expectation that the authors will make additional textual revisions based on their responses to make it clear in the abst... | this paper proposes a mathematical framework to theoretically understand and quantify the benefit of selfsupervision on the downstream tasks the theoretical analyses in this paper are concrete and the authors conducted experiments to support their claims however the current version still has the following weaknesses ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary nonconvex learning problems can have multiple solutions with different generalization properties thus it is important to find solutions that generalize well the goal of this paper is to derive an al... | this paper studies a variational formulation of the loss minimization to study the solution that generalizes the most an expectation of the loss wrt a gaussian distribution is minimized to find the mean and variance of the gaussian distribution as the variance goes to zero we recover the original loss but for a higher ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this study the authors observe that scorebased denoising diffusion models can actually be decomposed into two phases they argue that by substituting the first half of the two phases with vae higher qual... | the paper analyzes diffusionbased deep generative models ddgms the paper postulates that a ddgms can be divided into two parts a denoiser and a generator after the rebuttal and discussion period three out of four reviewers supported acceptance of the paper the reviewers almz qkfo and 4jy9 all find the interpretation ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends the mixup method by utilizing a dynamic uncertainty score as importance weight for mixup samples the uncertainty score for a given xi is obtained by tracking the average prediction error o... | the reviewers unanimously agreed here that incorporating uncertainty scores as importance weights for mixup and empirically the authors method seems to lead to substantial quantitative performance improvements i think the heuristic use of the models parameter history to estimate uncertainty is reasonable however while ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates multibranch network structures from the aspect of informationfeature space disentanglement aiming to represent each class through certain path in a multibranch network to achieve it ... | the authors propose a modification to resnext where each sample is routed to a subset of the network the aim is to activate only a subset of the network subnn in fact extract a binary classifier for each class from the trained larger network with a significantly smaller parameter footprint the main idea is conceptually... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies principle component analysis pca under differential privacy dp constraints the authors improve the sample complexity from prior sota to a nearoptimal rate by proposing a new singlepass al... | the paper studies pca under the constraint of differential privacy and presents an improved algorithm which is based on a minibatch sgd where each step contains a private top eigenvalue estimation and a private mean estimation the reviewers agree that the new algorithm is interesting and that the new results are import... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed fedrolex a modelheterogeneous federated learning framework that breaks the constraint of standard federated learning based on homogeneous model the authors proposed a rolling technique ... | to better handle the case that each client is with heterogeneous device resources this paper presents a modelheterogeneous federated learning algorithm fedrolex fedrolex rolls the submodel in each federated iteration in order to train the parameters of the global model on the global data distribution experimental resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider twoplayer zerosum markov games the goal is to develop decentralized modelfree symmetric algorithm with entropy regularization and new estimators the authors show the stochastic policy e... | this work presents a new samplebased policy extragradient algorithm for finding an approximate nash equilibrium in tabular twoplayer zerosum markov games with improved sample complexity guarantees while originally the reviewers had concerns regarding the novelty and technical difficulty of the paper these were success... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new thompson sampling algorithm by designing proper sampling distributions for exponential family reward distributions three contributions 1 new algorithm 2 showing that the standard ts... | this paper provides a good contribution on thompson sampling for exponential families while several concerns on the presentation and technical points are raised after the discussions with reviewers and my own reading of the paper i judged that the issues on the presentation is not so much serious and considering the st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method exploits the randomized smoothing techniques for a certified watermark of neural networks the idea itself is novel and interesting to the best of the reviewers knowledge no one has ever ... | while its commonly acknowledged that the paper is well written the reviews are a bit split r3 and r1 are mildly positivenegative respectively r2 and r4 both voted for reject r2 asked many questions regarding experiments which were addressed in the details in the rebuttal r4 raised 6 questions regarding the bound and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a synthetic dataset for visual physiological signals estimation physiological signals supported include respiration and heart rate markers authors demonstrate viable physiological marker... | the reviewers are positive regarding the high level of the contribution of the work for the neurips 2022 track datasets and benchmarks the authors properly addressed all reviewers comments and concerns during the rebuttal period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of debiasing learning and outofdistribution detection in graph data the authors argue that existing works typically address these two tasks independently but the intrinsic ... | the authors propose a mixture modeling approach to train gnns so that outofdistribution data can be properly downweighted during training and detected during testing the reviews were mixed with some reviewers criticizing the technical novelty and experimental comparison indeed the authors could have explained their con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a way to learn partial equivariances from data by using a monte carlo group convolution where the samples are taken from a 1d uniform distribution with its bounds learned via the repara... | all three reviewers lean toward acceptance after the authorreviewer discussion reviewers find most of their concerns clarified concerns about several experimental issues remain and the authors provided reasonable responses after careful consideration ac recommends accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary for regression tasks with heteroscedastic noise a gaussian model whose mean and variance are a function of the input is frequently used neural networks are then used as function approximators for t... | the paper examines the approach of modeling aleatoric uncertainty by fitting a neural network that estimates mean and variances of a heteorscedasitic gaussian distribution based on log likelihood maximization the authors identify the problem that gradient based training on the netgative log likelihood nll may result in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a variant of collaborative linear bandits where alpha fractions of magents act adversarially in a centralized setting they propose a phased elimination algorithm with robust confidence i... | this work studies an interesting collaborative linear bandits problem and makes solid technical contributions efficient algorithms optimal regret and generalization to other settings clear accept please do address the minor issues pointed out by the reviewers in the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this replication study is clear detailed and convincing the accompanying code is clear and welldocumented one suggestion for improvement would be to more clearly separate the discussion of the data generati... | a great reproducibility study with a welldocumented codebase it would be great to see address some of the writing and presentation issues that reviewers pointed out |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission works on an interesting problem in image registration overall the paper is well written and easy to understand although the proposed method is not brandnew it looks reasonable and has the pot... | the authors present a machinelearning based diffeomorphic registration with the main contributions being an nmi loss function and bspline representations the reviewers were initially split with the main concerns being the lack of novelty and improved performance nmi is by no means a novel loss function or the only on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
iclr paper pcps patient cardiac prototypes summary the paper proposes unsupervised neural network models to learn patientspecific representations for ecg applications the architecture implements id... | the paper proposes the use of contrastive learning to learn patient specific representations from medical data the authors show how their method can be used to find similar patients within and across datasets the paper has some issues as indicated by the reviewers similarity to past work in the response to r1 the au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a modelbased valuecentric mvc deep rl algorithm for transfer learning the algorithm optimizes neural networks to estimate the deterministic transitions and rewards and uses the these mode... | the paper studies whether the best strategy for transfer learning in rl is to transfer value estimates or policy probabilities the paper also presents a modelbased valuecentric mvc framework for continuous rl the reviewers raised concerns regarding 1 the coherence of the story 2 the novelty and importance of the mvc fr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors develop a framework named breeds for studying population shift putting it in their words they address the problem of how well do models generalize to data subpopulations they have seen during tr... | i agree with the reviewers positive comments about the paper the breeds approach to generating benchmarks seems to be a useful one and addresses an important problem in the space this approach could be the start of a nice direction of inquiry that will give us new insights into subpopulation shift and most of the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method called retrospective adversarial replay rar to synthesize adversarial examples from the buffered data that are close to the current data in the latent space thus the decision bo... | this paper proposes adversarially perturbed samples from a replay buffer to simulate examples that are on forgetting boundary in the continual learning setting after reading the paper i found it interesting and insightful the methodology makes sense the analysis of their method is thorough and the results validate thei... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates several stateoftheart gnn modules and finds that they are overcomplicated the initial node embeddings are dispensable and some layers are overparameterized based on these observations... | this paper proposes a graph soft counter gsc model which is very simple and lightweight compared to the conventional graph neural network for solving qa tasks that benefit from knowledge graphs compared to the conventional kggnn combination the proposed method is much simpler but produces better results for qa tasks t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the proposed method is simple but effective in terms of both the quantitative and qualitative results 2 cigmo models vae with the easytoget group category in a weakly supervised manner and thus achieves b... | meta review the proposed method aims to achieve categoryshapeview disentanglement in images of objects by using a deep generative model which exploits grouping information in the data the reviewers appreciate the strong empirical results and acknowledge that this particular problem has not been studied extensively th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper pushes forward our understanding of learning neural networks the authors show that they can learn a twolayer one hidden layer nn under the assumption that the input distribution is symmetric the ... | although the paper considers a somewhat limited problem of learning a neural network with a single hidden layer it achieves a surprisingly strong result that such a network can be learned exactly or well approximated under sampling under weaker assumptions than recent work the reviewers unanimously recommended the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
rigorous risk analysis of mle over various graph topologies bounds noticeably improve over yan et al 2012 application to tournament design by noting subadditivity of ellinfinity loss in btl uai might n... | meta review this paper proposed a ellinfty norm bound of the maximum likelihood estimator in the btl model under general comparison graphs the result is a good addition to existing ell2 norm bounds while one reviewer still has a reservation about the presentation of the paper all the reviewers agree that the authors ha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the performance of onepass sgd when pretrained on a large linear regression source task and finetuned on a smaller linear regression target task with a mild degree of covariate shift in t... | after the rebuttal the majority of the reviewers were convinced that the paper is novel and interesting and it should be accepted in preparing the cameraready i suggest to the authors to take into account the reviewers comments to better explain the used assumptions to the readers and avoid potential misunderstandings |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of slow convergence in training of object detection transformer the main contribution is to use trainable anchor boxes 4d in a layerbylayer manner they also motivate their co... | somewhat borderline paper given the scores but leaning on the side of accepting mostly because the positive and weak positive reviews are a little more persuasive the negative review is a bit of an outlier the main issues raised in the negative review are that the novelty is on the lower side or otherwise that the work... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to replace the softmax over the vocab in the decoder with a single embedding layer using the von misesfisher distribution which speeds up training 25x compared to a standard softmaxcross... | this is a metareview with the recommendation but i will ultimately leave the final call to the programme chairs as this submission has a number of valid concerns the proposed approach is one of the early principled one to using fixed dense vectors for computing the predictive probability without resorting to softmax t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes an unsupervised representation embedding learning method for timeseries while unsupervised representation learning has been extensively studied and shown good performance in fiel... | the paper proposes an unsupervised representation embedding learning method for timeseries overall the paper is wellmotivated wellwritten and easy to follow as agreed by all reviewers the idea is interesting to further improve the paper the authors are encouraged to justify the choice of encoder architectures and windo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper provides an extensive empirical analysis of pruningatinitialization pai techniques and compares it against two pruning methods after or during training this comparison sheds some light ... | the paper analyses several approaches to pruning at initialization compared to after training there was a large gap in reviewers appreciation of the paper but i think that the pros outdo the cons as the paper show a lot of insights overall i recommend accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new affinity score based on the fisher information matrix from a source to a target task the authors also develop a fewshot learning procedure based on a pretrained wholeclassification... | this paper proposes a fewshot learning method that uses fisher information matrixbased task affinity the experimental results show that the proposed method achieved better performance than existing methods this paper is wellwritten the newly proposed task affinity score is interesting the experimental results and theor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly focuses on learning logical function with gd and investigates generalization error under matched and mismatched setting for gd generalization error under matched setting the authors prove ... | the paper addresses in a formal and solid way a specific learning task with the intent to assess the limitations of different neural networks architectures the addressed task requires some degree of reasoning for the architecture to learn it in a satisfactory way although the authors eventually restrict the scope of th... |
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