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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed ganbased framework for image compression and show improved results over several baseline methods although the approach is not very novel by itself the adaption and combination of existin...	this paper proposes a ganbased framework for image compression the reviewers and ac note a critical limitation on novelty of the paper ie such a conditional gan framework is now standard the authors mentioned that they apply gan for extreme compression for the first time in the literature but this is not enough to jus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: motivated by the sortandsmooth graphon estimator of chan and airoldi 2014 this paper proposes two new clustering algorithms graph distance based spectral clustering and similarity based semidefinite program...	this paper presents a new method for clustering multiple graphs without vertex correspondence by combing existing approaches on graphon estimation and spectral clustering all reviewers agree that this is a neat paper with new theoretical and empirical results the main concerns were also properly addressed during rebuta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors extend the framework proposed by kimbengio 2016 and dai etal 2017 which introduce an extra step to fit a generator to approximate the current model for estimating the deep energy ...	the proposed method is an extension of kim bengio 2016s energybased gan the novel contributions are to approximate the entropy regularizer using a mutual information estimator and to try to clean up the model samples using some langevin steps experiments include mode dropping experiments on toy data samples from the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the problem of learning to execute and adapt existing skills to more complex tasks that are different from the tasks used to build the atomic skills in particular i the paper collects s...	ae summarizes the strength and weakness of the paper raised by reviewers as follows strengths the paper is wellwritten the learning of the stateconditioned skill prior is interesting and the implementation based on the normalizing flow appears reasonable weakness the experimental results could be improved by u...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper performs a theoretical analysis on one kind of noisy label learning method the paper also presents an empirical analysis strength 1 theoretical analysis on one kind of noisylabel learning method ...	this paper presents an analysis of the robustness of selfsupervised learning ssl features to noisy labels in downstream supervised learning and provides empirical verification of the results mostly in the symmetric noise setup a ssl regularization scheme is also analyzed section 4 while the paper contains plausible ins...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an autoencoderbased model for system identification estimating unknown parameters of a system defined by a dynamic equation the model is shown to improve predicting longterm system dynam...	the paper builds a deep learningbased framework for estimating states and physical parameters by embedding a differential physics simulator into an autoencoder architecture integrating physics into neural networks is an interesting research area and this paper proposes some interesting and novel ideas such as explicitl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a neural slambased approach for tackling embodied multimodal tasks in alfred benchmark the approach called affordanceaware multimodal neural slam amslam utilizes several modalities for e...	this paper presents a slam based approach for the alfred benchmark the presented method affordance aware multimodal neural slam has two key advantages over past works it uses a multimodal exploration strategy and it predicts an affordance aware semantic map it also obtains a very large performance improvement over the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: towards progressing language models lms capacity in incontext learning for reasoning the authors propose the novel algorithm of lmlp it uses logic rule templates and examples combined with pretrained knowle...	this paper proposed to design a model lmlp that learns from demonstrations containing logic rules and examples to iteratively reason over knowledge bases kb the authors propose a lmlp approach uses logic rule templates and incontext learning of lms for answering a relational query they show that lms can be prompted ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a monotonic attention to improve the latency of decoding the attention is an improvement over the attention based on gaussian mixture model allowing the attention weights to depend on th...	the paper proposed a useful incremental extension to the monotonic gmm attention by incorporating source content it has shown comparable performance for online and longform speech recognition but falls behind on the machine translation task for online asr it would be more convincing to include latency comparisons acros...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a novel generalization bound for a class of message passing neural networks mpnns on graphs is derived the generalization gap decreases with the average number of nodes of graphs sampled from the data distr...	this paper gives a new approximation and generalization error bound for a class of mpnn message passing neural networks in a setting where the underlying graph is randomly generated first a discretization error from the continuous limit is given and second the generalization error on a finite training set is given some...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of learning submodular functions using neural networks more precisely the paper considers two different settings 1 there exists an oracle that given a set s responds with t...	all 3 knowledgable reviewers recommended acceptance of the paper and had active discussions with the authors i agree that the paper makes several interesting and relevant contributions and suggest acceptance of the paper please consider the reviewers comments when preparing the final version of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is concerned with selective classification in a stylised realisably noisy data model wherein the support of the input distribution is partitioned into two chunks the informative omegai and the uni...	this paper studies a learning scenario in which there exist 2 classes of examples predictable and noise learning theory is provided for this setting and a novel algorithm is devised that identifies predictable examples and makes predictions at the same time a more practical algorithm is devised as well results are supp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper makes a contribution to xaip with the results and analysis of a user study assessing the potential usefulness of a previously proposed algorithm for generating particular types of explanations des...	thank you for your submission this paper evaluates a previous framework for explainable ai planning through a user study the reviewers agree that user studies for evaluating xai techniques are important and that the study is well designed and of a significant size they agree that the results are well presented and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a view on tasks requiring pairs of sentence representations from the perspective of statistical relational learning srl where there exist a multitude of composition functions for pairs of...	this paper offers a new angle through which to study the development of comparison functions for sentence pair classification tasks by drawing on the literature on statistical relational learning all three reviewers seemed happy to see an attempt to unify these two closely related relationlearning problems however none...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a new model compression method based on subdifferential inclusion the key idea is to make the outputs of the neurons in the sparse and dense networks at the same input clos...	i have serious concerns about how experiments are reported in this paper most methods tried to compare at an iteration complexity of roughly 100 epochs because it is known more computation improves performance very significantly but the computational resources are limited for many researchers especially in academia whi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is concerned with matching and mab setting of liu et al 2020 the main contribution of this paper is an improvement in the regret to ologt through a communication protocol between the agents textb...	this paper is concerned with multiplayer multiarmed bandit with arm preferences it improves the existing literature by improving the regret upperbound from log1epst to logt the main ingredient is as usual in the literature forced collision the issue in the model is that since arms have preferences some communication b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors focus on improving the performance of reinforcement learning algorithms in the presence of multifidelity data through the use of control variates general comments i really like this paper an...	all reviewers agree on the novelty and significance of the topic addressed by the paper and feel that the paper is at the borderline of being ready for publication but in the end as visible in the lengthy comments and discussions about the paper there are too many details and clarifications missing in this paper to pus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new dataset called kradar it includes three common sensors for autonomous driving applications ie camera radar and lidar the radar they are using is more advanced than the hardware i...	5 out of 6 reviewers are positive about accepting this work the meta reviewer agrees with the reviewers that the kradar dataset is a clear contribution to the community and thus recommends acceptance the meta reviewer believes that the authors have answered the negative reviewers question in a fair enough way the autho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a semisupervised learning procedure that does not require labeled adversarial data to learn an ensemble model that is robust to adversarial attacks on classification tasks q...	this paper focuses on adversarial robustness with unlabeled data the philosophy behind sounds quite interesting to me namely utilizing unlabeled data to enforce labeling consistency while reducing adversarial transferability among the networks via diversity regularizers this philosophy leads to a novel algorithm desig...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on utilizing synthetic images generated by a generative model for the task of achieving robustness to adversarial attacks towards this the paper aims to assess the suitability of the prox...	in this work authors use proxy distributions learned by advanced generative models to improve adversarial robustness in the discussion period authors did a good job in addressing reviewers questions and comments all reviewers think the paper is above the accept threshold so do i
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the resources allocation problem where each of n receivers has to be allocated a fixed fraction of items for each round an item is drawn from a distribution mathcald each item can be re...	executive summary the problem considered in this paper is as follows there is a distribution over items x subseteq 0barxn where xi denotes the value of the item to recipient i there are also matching constraints pii in n which require that each agent should be matched a pi fraction pf the times the goals is to maximiz...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses a crucial flaw in the proof of the soundness of the algorithm of the general identifiability problem of lee et al 2019 they provide an insightful counterexample and offer a new algorithm...	meta review in this paper the authors revisit recent work lee et al 2019 on identification of interventional distributions from a set that may include the observed data distribution andor a set of interventional distributions lee et al 2019 proposed a sound and complete identification algorithm for that problem the a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes an interesting phenomenon that most of the learning happens in a small subspace however the experimental evidence presented in this paper is a bit lacking the authors also cook up a toy...	the paper is overally interesting and addresses an important problem however reviewers ask for more rigorous empirical study and less restrictive settings
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper designed a gapnetpl architecture and applied gapnetpl densenet multiscale cnn etc to the protein image multilabels classification dataset pros 1 the proposed method has a good performance on th...	the reviewers all agreed that the problem application is interesting and that there is little new methodology but disagreed as to how that should translate into a score the highest rating seemed to heavily weight the importance of the method to biological application whereas the lowest rating heavily weighted the lack ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes the method to determine optimal quantization bitwidth and pruning configuration for the neural network compression different from other approaches the proposed method integrates multiple...	the paper proposes to integrate multiple bit configurations including pruning into a single architecture and then automatically select bit resolution through binary gates the overall approach can be differentiable and optimized with parameters however as pointed out by the reviewers the novelty of this paper can be the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper formalizes and studies the problem of gameability in rl where performing better under a proxy results in worse performance under the true reward the paper provides the first theoretical study of ...	the paper introduces the question of whether a pair of reward function and a proxy reward function is gameable ie whether maximizing the proxy may actually decrease the return in the original reward function the authors develop a fairly complete analysis of this problem revealing a set of nontrivial results on eg the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper brings up an ambitious and pioneering paradigm termed deep model reassembly dery that reuses the pretrained neural networks as building blocks for new model construction to address the transfer l...	this paper proposes an interesting new way to think about how to use a model zoo of pretrained models extract modular building blocks that are swappable from the networks and then stitch them together to do the former a cover set optimization methods is proposed and the blocks can then be combined in a way that respe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a new federated learning algorithm called feddyn which was motivated by the observation that the local objectives for each device might lead to inconsistent models between devices for he...	the paper introduces a new federated learning algorithm that ensures that the objective function optimized on each device is asymptotically consistent with the global loss function both theoretical analysis and empirical results evaluating communication efficiency demonstrate the advantages of the proposed feddyn me...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach that trains local hebbian learning rules to allow a neural network to perform reasonably well in two types of problems sequence memorization and prediction two approaches to ...	the paper addresses an interesting problem namely how to evolve effective weight and activation update rules for online learning of a recurrent network the work focuses on two specific tasks character sequence memorisation and prediction two approaches based on metagradients and evolutionary strategies are explored unf...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a colorful prompt tuning cpt method for tuning pretrained visionlanguage models cpt reformulates visual grounding into a fillintheblank problem with colorbased coreferential markers in i...	in my opinion this is a cool idea but could use a few more test settings to evaluate the general applicability of their method it would be interesting to see if the method generalizes to a nonreference based task strengths novel method that explores the interaction of color masks for learning to prompt about regions i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a sound methodology for an important practical clinical issue of trackingfollow up of lesions in longitudinal imaging the paper is very well written experiments are performed on a lar...	longitudinal lesion tracking is a very clinical relevant problem that has received little attention in deep learning this paper proposes an interesting semiautomatic pipeline with a oneclick interaction combining segmentation and registration to find the lesions in the followup exam the method builds on existing segme...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the ability of llms to automatically translate mathematical statements written in natural language to formal statements in the language of a theorem prover in this case isabellehol the au...	the reviewers appreciated the importance of the problem studied the reviewers had concerns regarding novelty of the proposed solution but were convinced by a detailed empirical evaluation overall this is a clear accept congratulations to the authors please take all the feedback into account while preparing the final ve...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper performs zero shot detection of seen and unseen objects in scenarios with more finegrained division of objects for example in practical computer vision applications such as industrial and indoor e...	all five reviewers unanimously agree that the paper needs to be rejected one of the main concerns is the lack of technical noveltyoriginality the reviewers also point out lacking citation and comparison to prior work and missing experiments the authors have not provided any rebuttalthis paper describes an approach for ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission introduces new pixel level and segment level semantic annotations on top of the existing epickitchens100 videos annotations include temporal actions over short and longer time spans eg flour ...	this paper introduces new annotations on top of the epickitchen 100 videos which contain pixellevel instance and semantic annotations on objects on top of the valuable instance mask annotations such as handobject interaction the annotation volume presented is significantly larger than prior works in multiple statistics...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces the theoretical framework for a new noise reduction algorithm for probabilistic differential privacy dp namely the brownian mechanism bm and it also compares it empirically with the lap...	the reviewers unanimously agreed that the paper is wellmotivated and the theoretical results surrounding the proposed brownian mechanism are interesting initial concerns regarding presentation and clarity were assuaged after the authors responses to the reviews overall the paper is a nontrivial and valuable extension o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper propose two algorithms for solving bilevel optimization problem where the inner objective is assumed to be strongly convex the main idea is to use an iterative scheme to approximate the inner le...	the authors propose two algorithms and their theoretical analysis for solving bilevel optimization problems where the inner objective is assumed to be strongly convex the authors have greatly improved the paper to answer reviewer comments and three out of four reviewers have increased their scores that said given the l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to train high and lowlevel controllers to tackle hierarchical rl the novelty is framing hierarchical rl as a problem of training a diverse set of ll controllers such that they ...	strengths the paper presents a method of training twolevel hierarchies that is based on relatively intuitive ideas and that performs well the challenges of hierarchical rl makes this an important problem the benefits of periodicity and the separation of internal state from external state is a clean principle that can...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors proposed a new constrained policy optimization algorithm and a worstcase version of the constrained mdp framework tho proposed constrained policy optimization algorithm is ...	the reviewers appreciate the importance of enforcing safety in rl and the technical directions considered in the paper related to incorporating cost in advantage estimation however they express several concerns about the formulation of the problem considered and the consistency of the approach as well as the somewhat ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors first introduce a new equilibrium concept kefce in extensiveform games then the authors propose sampleefficient regretminimization based algorithms to learn the equilibrium in both fullinformati...	reviews on this paper are uniformly positive and all reviewers feel that it is an interesting set of results one minor criticism is that some reviewers felt the presentation could be improved and the authors should try to address this for the camera ready
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a benchmark for preferencebased reinforcement learning with an evaluation of two key properties performance of the rl agent under a fixed budget of feedback robustness to potential irra...	the reviews for this paper are overwhelmingly positive this paper proposes a very interesting challenge for learning policies using a teachers preferences and predefined rewards which is called as preferencebased rl the research problems that this paper investigates are important and crucial problem for reinforcement...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in computing the gradient of the elbo the main challenge lies in computing the gradient of the reconstruction loss with respect to the encoder parameters vaes traditionally rely on reparameterization in ord...	the paper is addressing an important problem but misses many related references see reviewer 2s comments for a long list of highly relevant papers more importantly as reviewer 3 pointed out which the ac fully agrees the gradient estimator the paper proposes is the reinforce estimator williams ml 1992 rederived thro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors formalize the feature attribution problem as a feature selection problem and they demonstrate that several existing feature attribution methods can be interpreted as approximation algorithms for...	all in all while the reviewers found that the problem at hand is interesting to study the submissions contributions in terms of significancenovelty did not rise to the standards for acceptance the reasoning is most succinctly discussed by r3 who argues that ifs and efs are basically feature selection and applying them ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper gives a meta algorithm for speeding up coreset constructing algorithms for the distribution compression problem the benefit of this meta algorithm is that its running time is faster by a squarer...	this paper proposes a simple meta algorithm to speed up data thinning algorithms with good theoretical guarantees the method is both theoretically interesting and useful for practical applications
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors revisited open vocabulary problems in translation with a characterbased approach they claimed that segmentation approaches such as bpe may be affected by the vocabulary size which is heuristic h...	this paper demonstrates the hypothesis that a very small word piece vocabulary giving a quasi character level model outperforms current methods of neural mt in truly low resource scenarios and provides some auxiliary studies around word piece frequency and domain transfer it considers lstm cnn and transformer nmt model...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper revisits the old of idea encodings that have higher density around a particular point and lower density as one moves away from a particular analysis point in the literature these have often been ...	this paper proposes an alternative for constructing convolution kernels instead of uniform spatial resolution it proposes a spatially varying resolution with higher precision at the center of the kernel the resolution decreases logarithmically as a function of the distance to the center all reviewers agree that the ide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of adversarial attack in graph neural networks it aims to improve the unnoticeability of graph injection attack which injects carefullycrafted nodes into the graph data in det...	the reviewers agree that this paper studies an important problem provides theoretically analysis to understand graph injection attack the authors propose a new regularizer to improve the attack success extensive experimental results also show the effectiveness of the proposed method
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: advantage the paper concentrated on an important perspective of graph learning to utilize a small number of labels for largescale graph learning the framework is well demonstrated and the paper is easy to ...	the authors consider viewconsistency when learning graph neural networks however as mentioned by the reviewers the novelty of the proposed method is limited and the rationality of the implementation is not convincing more deep discussions about related papers and analytic experiments are required to support this work a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper treats network binarization as learning a bernoulli probability that each weight is 0 or 1 it uses a hierarchical approach to factor the probability in to parameters shared between weightskernelsl...	reviewers mostly recommended to reject please take reviewers comments into consideration to improve your submission should you decide to resubmit
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors studied an interesting problem of unsupervised domain adaptation when the source and the target domains have disjoin labels spaces the paper proposed a novel feature transfer network that optimi...	this paper proposes a new solution for tackling domain adaptation across disjoint label spaces two of the reviewers agree that the main technical approach is interesting and novel the final reviewer asked for clarification of the problem setting which the authors have provided in their rebuttal we encourage the authors...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose to overcome the sparse reward problem using an exploration strategy that incentivizes the agent to visit different parts of the game screen this is done by building qmaps a 3d tensor that me...	the paper proposes to use a convolutionaldeconvolutional q function over onscreen goal locations and applied to the problem of structured exploration reviewers pointed out the similarity to the unreal architecture the difference being that the auxiliary q functions learned are actually used to act in this case reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a simple implicit model ensemble method based on featurewise linear modulation film where they learn m sets of affine parameters for batch norm layers experiments show higher diversity t...	this paper constructs implicit ensembles by adding multiple affine transformations to batch normalization layers the proposed approach is elegant and complements existing implicit ensemble techniques there are some concerns that the experimental evaluation does not include larger models or datasets which is important ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work uses sequencetosequence and memory network neural nets to learn a network that not only predicts a label but also predicts nearest neighbors and their label the intuition is that by training on a...	the proposed approach of predicting k nearest neighbouring examples as an auxiliary task is an interesting idea however the submission should have studied further on how those examples are predicted eg sequence prediction is one but you could try set prediction or so on rather than how sequential prediction of nearest ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose an adaptation of the adam method with the amsgrad correction and an additional parameter to p to exponentiate the diagonal conditioning matrix v padam the proposed method chan...	the reviewers find the per difficult to read reviewers also had concerns regarding the correctness of various claims in the paper the paper was also found lacking in experimental analysis as it only tested on relatively small datasets and only no a cnn architecture overall the paper appears to be lacking in quality and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a variant of montecarlo dropout that aims to obtain better uncertainty estimates by a better adjustment of the output variance in concrete the paper proposes a novel objective fu...	dear authors thank you very much for your very detailed feedback and also updating the manuscript in the rebuttal phase your effort has highly contributed to clarifying some of the concerns raised by the reviewers and improving our understanding of your work on the other hand we still think that the current work has...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposed a selfaware framework for motion prediction with interpretability of the estimated uncertainty the proposed method interpretable selfaware prediction isap is able to evaluate the epistemi...	concluding comments the authors present a clearly written framework for epistemic uncertainty estimation with significance in particular to safety critical applications of trajectory prediction methods in autonomous driving the underlying problem of epistemic uncertainty estimation is clearly of relevance to the commu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes six quantitative metrics for evaluating posthoc visual interpretation methods on time series it demonstrates the efficacy of nine visual interpretation methods using these six metrics ove...	this paper evaluates interpretation methods of neural networks on time series data the reviewers find some values in this work but were also consistently concerned with the main theme and novelty of this work the authors have actively responded to reviewer comments but the reviewers were not convinced with the major co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed texttn that applied tensor network on text input they effectively solved the high dimensionality problem and achieved the state of the art on multiple text classification problems the pap...	while the submission has promising components the reviewers were not able to reach a consensus to recommend acceptance the main concerns is that 1 theorem statements and assumptions are not clearly explained and 2 the novelty of the approach is not made clear and 3 there remain concerns on whether the experimental resu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary paper summary this paper attempts to incorporate generalized page rank gpr in graph neural networks gnns aiming to address two problems plaguing gnns i existing messagepassing based gnns are ...	in this paper the authors propose a new gnn architecture based on generalized pagerank to handle two weaknesses in some existing gnns the novelty of this approach is that it works well for both homophilic and heterophilic graphs due to the use of gpr overall the paper is interesting and well written moreover the auth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a generative tensorbased latent space model dubbed tlsm which generates node embeddings preserving the community structure of the given multilayer networks instead of directly using the ...	this paper applies tensor decomposition to study the structurepreserving embedding of multilayer networks for the tasks such as community detection and link prediction while the reviewers appreciate several technical novelties in the paper they still have a number of concerns such as the novelty of tensor decomposition...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a generalization of monge maps to the case where multiple pairs of labeled measures cimuinui are to be matched by a single global map the desired map has the context label ci as an input ...	the paper considers the problem of learning a single monge map between different pairs of probability measures such that the particular transport depends on a given context the reviewers have found the paper well written and motivated in addition the approach is novel and interesting i therefore recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors are presenting 2 spatiotemporal datasets taken using remote sensing satelites the authors describe the methods for annotating change events and a pipeline the authors used to automate the annota...	this work presents a novel resource for detecting changes in aerial imagery the paper is well written and contains significant amount of experiments and baselines for demonstrating its usefulness the paper considerably improved upon reviewers feedback who are unanimously positive about this work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a bayesian spline learning framework to discover nonlinear dynamics ode or pde using sparse data which is interpretable and is able to quantify the uncertainty technical proposals are mad...	the reviewers are all leaning towards acceptance with two having acknowledged the extensive author feedback i encourage the authors to incorporate as clearly as possible the extensive work done during the rebuttal period into the text when updating their paper for publication
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: does the paper present substantively new ideas or explore an under explored or highly novel question yes the paper combines two frameworks imitation learning and model base reinforcement learning to inco...	this paper proposes to combine rl and imitation learning and the proposed approach seems convincing as is typical in rl work the evaluation of the method is not strong enough to convince the reviewers increasing community criticism on rl methods not scaling must be taken seriously here despite the authors disagreem...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 summary this paper proposes a method for learning an agent by interacting and probing an expert agents behavior this method is composed of a policy that learns to imitate an experts action and a policy th...	the submission proposes a setting of two agents one of them probing the other the latter being the demonstrator the probing is done in a way that learns to imitate the experts behavior with some curiositydriven reward that maximizes the chance that the probing agents has the expert do trajectories that the probing agen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper try to distill large pretrained language models into a bidirectional cmowcbowhybrid model the proposed architecture was designed to output pertoken representations so as to perform...	this paper presents a method for distilling pretrained models such as bert into a different student architecture cmow and extend the cmow architecture with a bidirectional component on a couple of datasets results are comparable to distilbert a previous baseline this paper is nice but can be stronger with more empiric...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents an analysis and numerical evaluation of stagewise sgd adagrad and stochastic momentum methods for solving stochastic nonsmooth nonconvex optimization problems comments i find th...	this paper develops a stagewise optimization framework for solving non smooth and non convex problems the idea is to use standard convex solvers to iteratively optimize a regularized objective with penalty centered at previous iterates which is standard in many proximal methods the paper combines this with the analys...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: theres a huge problem with benchmarks in that there is no way to account for differences in performance among models viz confounding variables they respond to this issue with control variables for example f...	the paper provides a software framework for conducting machine learning benchmarks the reviewers agree that such software will be useful for the community and that the paper is of high quality the main concern is whether a paper on software as opposed to a dataset or benchmark is in scope for the datasets benchmarks t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose theoretically analyze and empirically evaluate a sparse additive huber additive model spham which is an additive model where each component function in the model is a kernel function tha...	this paper proposes an adaptive sparse huber additive model for for forecasting nonstationary time series the prior work has considered similar models for gaussian innovations which is overly restrictive for a variety of applications such as finance the results are supported both by theory and experiments the results a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a defense that uses mcmc sampling with an energybased model as a preprocessing before classification the stochastic transformations used in preprocessing are sampled from the langevin up...	although the technical novelty is not very high the finding that longrun langevin dynamics with convergently learned model provides comparable defense performance to adversarial training will give some impact to the community
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a labeled blockchain graph dataset from unspent transaction output and accountbased blockchains called chartalist the dataset can be used for modeling analysis and representation of block...	all reviewers acknowledge the quality of the paper and recommend acceptance with scores ranging from 6 to 8 the authors have constructively engaged into the discussion with the reviewers which has contributed to improving the evaluation of some reviewers the proposed dataset can have a significant contribution in attr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new sampling schedule for the experience replay buffer often used by reinforcement learning algorithms the proposed approach is to perform value backups via breadfirst search starting ...	a new sampling strategy for experience is proposed and compared with alternative sampling strategies the main weakness of the paper is the limited applicability of the strategy as it only works well goaloriented tasks and stochasticity reduces the effectiveness and within this setting only good performance is shown on ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach to generate taxonomies semiautomatically from flat lists of concepts the purpose is facilitating the taxonomy creation process by providing an initial taxonomy so that curato...	the paper was clear wellwritten and easy to read by all reviewers and the ideas flow fluently all reviewers were positive for the papers acceptance but in the same time they all pointed that the paper misses related work the paper would benefit from a clear discussion regarding why existing approaches are not suitable ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides an unsupervised approach to solve the inverse problem for reconstructing medical ct and mri scans using scorebased generative models the proposed method was evaluated on the lidc and bra...	this is an interesting paper on improving scorebased conditional sampling and its use in solving inverse problems the current method of sampling from ncsnv2 is somewhat inefficient and the authors propose a different sde that seems to work better for conditional generation the paper is applied to computational imagin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper deals with the difficult problem of novelty recognition which is the core issue in open set learning and generalized zeroshot learning indeed a method able to separate samples between known and u...	ar1 finds the paper overly lengthy and illfocused on contributions of this work moreover ar1 would like to see more results for gzsl ar2 finds the paper is lacking in clarity eg eq 9 and complete definition of the endtoend decision pipeline is missing ar2 points that the manuscript relies on gzsl and comparisons to it...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work studies the decision boundaries of neural networks nn with piecewise linear relu activation functions from a tropical geometry perspective leveraging the work of 1 the authors show that n...	this paper studies the decision boundaries of shallow relu network using the formalism of tropical geometry its main takeaway is to provide a new interpretation of the lottery ticket hypothesis in terms of network pruning strategies that preserve certain geometric structure reviewers were appreciative of the clarity ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes ppgnn a novel graph neural network that learns multiple adaptive polynomial filters acting on different subsets of the eigenvalues the authors combine gprgnn with existing efficient alg...	this paper proposes to apply a piecewise polynomial filter on the spectral corresponding to the graph convolution to enhance the model expressivity of graph neural networks the effectiveness of the proposed model is investigated through numerical experiments and it was shown that the method achieves fairly nice perform...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces an outofdistribution appendix to the wellknown tvlcdip benchmark along with results obtained with a number of stateoftheart models the authors prepared a very useful addendum to the r...	this paper focus on evaluating dataset bias outofdistribution particularly on document image classier all reviewers find the evaluation technically sound thorough and insightful all of them recommend acceptances the authors have carefully addressed all reviewers concerns therefore this paper is suitable for accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsep update i have read the authors reviews as well as the response by the authors id like to thank the authors for engaging in a discussion around lemma 1 it is unfortunate that the result does not a...	the paper considers the stochastic proximal point algorithm the main contribution is a convergence proof in addition to arguing that it is a practical algorithm for erm problems however reviewer evj6 and xjb8 pointed out a fatal flaw in lemma 1 that affects all the downstream results and the other two reviewers and my...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method that utilizes nfs to construct a more general distribution over observations the paper provides two different training methods based on the em algorithm or the cooccurence method...	the paper proposes a method that combines a hidden markov model with neural flow models for modelling sequences the main contribution is a fitting method based on a combination of gradientbased learning and expectation maximization with variants of the method proposed for different data scenarios the reviewers found ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors challenge the cnns robustness to label noise but when the label noise is class dependent more realistic scenario than class independent noise to analyse the cnns behavior in such a scenario the...	the paper analyzes the performance of cnn models when data is mislabelled in different manners the reviewers and ac note the critical limitation of novelty of this paper to meet the high standard of iclr ac thinks the proposed method has potential and is interesting but decided that the authors need more works to pub...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes forcenet which is capable of capturing highly complex and nonlinear interaction of atoms in 3d molecular space in order to accurately predict atomic forces on the outset the forc...	the model presented here may be of use to others in running quantum chemistry simulations and it may well lead to new advances but the authors did not sufficiently address the key concerns around the model not being energy conserving and rotation covariant the approach proposed could be learning such physical rules and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a novel approach for interpreting trained neural network models using audio as input the approach is based on the nmf technique and is using two neural networks one to estimate the time a...	the paper presents a novel approach for interpreting a neural networks decision on audio input the motivation of the research is clear and all the reviewers have agreed on the importance of the addressed task and the originality of the proposed solution also the authors have adequately responded to the reviewers concer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors claim to have annotated the optical chemical structure recognition dataset regarding the example in the manuscript the annotation format is well thought out and making the chemical structure mac...	given the extensive discussions its good to make a small overview reviewer kc2v weak reject didnt do a full review since the data and code were not available both become available afterwards but very late in the process reviewer abjb weak reject as a lower bound raised many issues about limitations in the experiments m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework for problems where the output has some validity constraints for eg the output must be a valid python program that must compile these kind of problems arise naturally in setti...	this work is well written and easy to follow and proposes a novel framework to utilize unlabeled output data the authors have also given a detailed proof that the denoiser reduces the required complexity of the predictor however ultimately the experimental results are somewhat weak and leave doubts as to how effective ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes to use a contrastive crossentropy loss during finetuning for improving transfer accuracy of both supervised and unsupervised pretraining methods in image classification the pap...	the authors propose an alternative finetuning procedure by introducing a projection head and two new losses to be combined with the vanilla crossentropy loss the authors introduce and jointly optimize the standard crossentropy loss the contrastive crossentropy loss for classifier head and the categorical contrastive le...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a graph approach that connects an item to classify and its features with relevant items via the common values this graph is used to propagate feature and label information and then class...	this paper proposes pet an approach to classifying rows in tabular data using retrieval methods and hypergraph neural networks to make predictions the key ideas are use information retrieval techniques to find similar rows to each row that needs to be labeled connect the similar rows in a hypergraph structure learn ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes pretrained decision transformers pdt that are trained on an offline dataset collected by an expertsemiexpert agent with reward information masked out pdt is then evaluated by finetuning ...	this paper explored pretraining for deep offline reinforcement learning developing a method that first pretrained decision transformers on trajectories without rewards and then finetuned on limited data with rewards the reviewers were pleased with the overall research questions and directions but found that they were s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: minmax optimization problems for wgans do not necessarily have saddle points this paper aims at providing insights into optimization tractability of wgans in the twolayer discriminator case with different a...	the authors provide a convexification for the gan training via integral probability metrics induced by twolayer neural networks the exposition relies on the convexification tools recently proposed by the pilanci et al and provides interesting insights to follow up in the future
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed distributed adversarial training dat for robust models the method is a combination of pgdlike adversarial training larslike large batch training and quantizing gradients for communicatio...	in this paper the authors claim to propose a distributed largebatch adversarial training framework to robustify dnn although the authors made efforts to clarify reviewers concerns it is clear that the authors still cannot convince some reviewers in several points after several rounds of discussion between reviewers an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors refer to prior work in sociolinguistic literature to state that larger communities create more systematic languages however they point out this apparent correlation between language structure an...	the authors investigate the claim that agents in emergent communication games will converge to a symmetric homogenous state in particular the authors showargue for diversity in the population to close the gap between observed trends in neural agents and those expected when studying natural languages eg around structur...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a certification crop attesting that a policy is robust against adversarial state perturbation it finds its inspiration in the supervised learning literature and extends it to the sequenti...	the authors propose a framework for for the certification of reinforcement learning agents against adversarial observationstate perturbations based on randomized smoothing they develop the theory of the framework demonstrating that the framework can be used to certify lower bounds on the worstcase cumulative reward of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i read the paper and understand it for the most part the idea is to interpret some regularization technics as a from of noisy bottleneck where the mutual information b tween learned parameters and the data ...	the paper proposes a regularization method that introduces an information bottleneck between parameters and predictions the reviewers agree that the paper proposes some interesting ideas but those idea need to be clarified the paper lacks in clarity the reviewers also doubt whether the paper is expected to have signif...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the randomised svd algorithm with nonstandard gaussian vectors which is then used to approximate hilbertschmidt operators using a new kernel based on out products of weighted jacobi polyn...	this paper studies a generalization of the randomized svd algorithm with nonstandard gaussian vectors which is then used to incorporate any covariance matrix and to hilbertschmidt operators it uses a new kernel related to products of weighted jacobi polynomials and extensive numerical experiments further strengthen th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper studies poisoning attacks on rl agents in which the attacker influences the agents learning process by changing the feedback obtained from the environment the focus is put on attacking po...	the paper focuses on adversarial attacks for rl which is an exciting understudied research direction and can be of interest to the community all the reviewers are mildly positive about the paper and the author competently replied to the concerns expressed by the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors investigate the question of how and when to use data augmentation da in the deep reinforcement learning drl training pipeline since it can interfere with the training and its effec...	although dataaugmentation is now a common practice in deep rl this submission provides a new rlfriendly approach to how and when use augmentation in deep rl supported by extensive experimental study which is a nontrivial contribution to the field
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose an approach to calibrate conditional distribution estimation models the approach uses normalizing flows to transform an existing models predictions into a prediction that better ...	the paper proposes to recalibrate predictive models by fitting a normalizing flow on top of the predictive model on a held out validation set using side information at a high level this idea has some potential especially in the multivariate setting but there are several directions for improvement comparison with a br...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a posthoc explainability algorithm that is global and modelagnostic the global comes from training from batches of data while the modelagnostic property is achieved by a gradient estimat...	this paper proposes a global modelagnostic explanation method the method relies on a neural model that learns to predict which input features are important for the original models predictions using experimentation the authors demonstrate that their approach outperforms lime and integrated gradients they compare the exp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces grsp generalizable risksensitive marl algorithm a method for training agents in mixedgames to converge to cooperative nashequilibrium the methods impact is in its applicability to much ...	the paper presents a novel approach for improving coordination in generalsum games by using risksensitive policies based on distributional rl while the idea is promising there are significant questions about the paper for example there is concern about the lack of theoretical guarantees and intuition about when the a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is in the scope of the workshop and proposes to use the dot product similarity between object embeddings at two separate timesteps to infer the underlying action in a video there are some typos ...	the reviewers agree the paper should be accepted at the workshop congratulations the authors are encouraged to take the feedback by the reviewers into account and to fix the typographical errors when preparing the cameraready version of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: general the paper proposed an algorithm named select via proxysvp which can be used for data sampling the idea is simple and straightforward 1 use a proxy model to get decision boundary 2 train the large ta...	there reviewers unanimously recommend rejecting this paper and although i believe the submission is close to something that should be accepted i concur with their recommendation this paper should be improved and published elsewhere but the improvements needed are too extensive to justify accepting it in this conferenc...

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