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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
proposes an adversarial attack on continuous cooperative multiagent settings given a target low performing state the adversary chooses an observation perturbation by trying to minimize the distance from the... | although the problem studied in the paper is interesting all the reviewers believe that the current draft has limited technical contributions moreover there are serious issues with the writing and presentation of the work also the experiments are rather limited and their results are not significant i strongly recommend... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper brings a fresh study to the generalization capabilities of deep neural networks with the help of an original use of pacbayesian learning theory and some empirically backed intuitions expressing t... | dear authors there was some disagreement among reviewers on the significance of your results in particular because of the limited experimental section despite this issues which is not minor your work adds yet another piece of the generalization puzzle however i would encourage the authors to make sure they do not ove... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of the paper claim that transformers can be as expressive as graphinvariant networks by applying them directly to a graph and treating all nodes and edges in the graph as tokens using appropriat... | the paper applies transformers directly to a graph by treating all nodes and edges in the graph as tokens the author prove this approach is theoretically at least as expressive as an invariant graph network which is already more expressive than all messagepassing graph neural networks the approach is simple and interes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the optimization landscape of the hinf control problem it is shown that all clarke stationary points are global minimal even though hinf is nonconvex further a goldstein subdifferential ... | the paper analyses direct policy search as an algorithm in hinf control synthesis specifically for the problem of minimizing the hinf closedloop norm and show that it can achieve global optima the authors observe that this is a constrained nonconvex nonsmooth optimization problem and by studying the landscape the lands... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper builds on work on incontext learning and rationale generation the proposed approach uses a small seed set of queryanswer pairs along with their rationales to prompt a large language model gptj t... | all reviewers found this paper to be interesting and timely on a topic of much current interest prompting llms with rationales to improve their accuracy while methodologically the paper follows existing work in not so novel ways the proposed procedure leads to strong enough empirical gains to be of wide interest to th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
for online learning with smoothed adversaries optimal statistical regret rates are known but there are no efficient algorithms assuming access to an offline erm oracle the present paper develops new online ... | as summarized very well in the reviews this is a wellwritten paper that makes a solid and elegant contribution to the recently active line of work on smoothed online learning the authors have successfully addressed the main concerns brought up in the discussion i genuinely agree the paper should be accepted as a sid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper targets at developing a more expressive pooling layer for gnns which allows neighboring nodes to perform highorder multiplicative interactions the authors leverage a rank r symmetric candecomppara... | the reviewers initially disagree on whether this paper has sufficiently advanced the research topic of graph pooling and have concerns on missing the comparison with wang and ji 2020 which have also introduced higherorder pooling for graph neural networks gnns after extensive discussions with the authors the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores extreme parameter compression for pretrained language model especially bert it introduces and compares several tensor decomposition methods and proposes to leverage tucker decomposition ... | this paper reviews a number of parameter decomposition methods for bert style contextual embedding models the authors argue for the application of tucker decomposition to the attention and feedforward layers of such models evaluation is performed for a range of models on the glue benchmark further ablation studies indi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce in this submission a locallyfree weight sharing strategy for selecting effective network width the rationale and intuition behind are wellgrounded experiments on various datasets and p... | the paper proposed locally free weight sharing strategy cafenet for searching optimal network width the proposal is a nice tradeoff between manually fixed weight sharing pattern too small search space and completely free weight sharing pattern too large search space the originality and significance are clearly above th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper applies irl to the cases of multiple tasksenvironments and multimodal input features involving natural language text and vision images it is interesting to see the better performance of their pro... | this paper generated a lot of discussion not all of it visible to the authors or the public r1 initially requested reasonable comparisons but after the authors provided a response and new results r1 continued to recommend rejecting the paper simply because they personally did not find the manuscript insightful despit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper intends to improve a recent offline metarl algorithm focal through a modified objective and architecture the authors propose the use of attention both for upweighting more informative transition t... | the paper addresses the problem of offline meta reinforcement learning the authors build on the focal algorithm adding intratask attention and intertask contrastive representation learning objectives the resulting focal algorithm outperforms several strong baseline including focal and a theoretical analysis attempting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows theoretical and empirical evidence that under some conditions whitening the input data and secondorder methods may hurt the generalization performance the paper is well written with good in... | the paper suggests that whitening the data harms generalization and optimization performance when learning models of the form hw x ie those that are based on a linear projection of the inputs which includes dnns for instance the main concern of the reviewers is that their theoretical developments were not that convinci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the present paper aims to apply recent developments in hyperbolic embeddings of graphs to the area of word embeddings the paper is relatively clearly written and looks technically correct the main contribu... | although the proposed method could be considered an interesting application to recently popular hypobolic space to word embeddings it is unclear why this needs to be done so experiments also do not support why or whether the application of hyperbolic space to word embedding is necessary |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies distributed pca let a be the matrix of interest each machine has access to a local version of ai and the goal is to design communicationefficient algorithms to estimate the eigenspace of ... | the scores on this paper are mostly positive with only one being below the threshold that reviewer was primarily concerned about novelty and significance which is a rather subjective matter and at least one reviewer defended the paper in this regard and all 3 other reviews indicated it to be sufficient most other con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a metric to quantify the perceptual similarity between different kind of corruptions and uses it to show that training on a corruptions induces robustness to other corruptions which are... | the paper investigates the relationship between data augmentations used during training and their effect on the accuracy when evaluated on unseen corruptions at testtime the paper proposes a metric called minimal sample distance msd to measure the similarity between augmentations during training time and corruptions at... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates how can graph ssl methods work well specifically they first perform a generalization analysis for generic graph data augmentations based on dataset recoverability and separability co... | overall the reviews are positive appreciating the proposed theory derivation and presentation also some concerns raised are properly addressed during the discussion period hence i recommend the accetance of this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of fine grained entity recognition fger and typing they initially present an excellent analysis of how fine grained entity type sets are not a direct extension of the usual c... | this paper design a framework based on heuristic approaches to automatically construct a dataset for the fger task the paper is solid and present nice experimental comparisons overall it is clear and easy to follow however as pointed out by the reviewers the proposed approach is heuristic and may not be general enough... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the effect of uncertainly in the parameters of an ml model used for consequential decision making on the validity proximity and diversity of sets of counterfactual explanations cfe namely... | the paper provides a neat idea about explaining linear predictors based on designing ways of perturbing parameters it is focused on linear models which can still lead to nonlinear classifiers but it is a relevant case particularly for explainability |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a hierarchical reinforcement learning algorithm in an attempt to improve the explainability of rl agents via the goals proposed by the higher level policy strengths the pro... | this paper proposes a method for hierarchical decision making where the intermediate representations between levels of the hierarchy are interpretable i personally really like this general direction as did most of the reviewers unfortunately it was felt that even after discussion this paper is not ready for publication... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach for neural network verification that combines zonotopes and lagrangian decomposition this is done by considering zonotope domains in each subproblem of the lagrangian decompos... | the authors develop a novel approach for verifying inputoutput properties of neural networks like adversarial robustness combining the advantages of earlier work on abstract interpretation and lagrangian decomposition the reviewers agree that the paper presents a novel sound and significant contribution to the litera... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall score 3 this paper introduces cross domain schemas cds for semantic parsing of utterances made to a virtual assistant cds captures similarities in requests according to the underlying actions or at... | interesting approach aiming to leverage cross domain schemas and generic semantic parsing based on meaning representation language mrl for language understanding experiments have been performed on the recently released snips corpus and comparisons have been made with multiple recent multitask learning approaches unfort... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a new method for learning factored value functions in cooperative multiagent reinforcement learning the approach uses energybased policies to generate this factorization the method is p... | although the paper presents some interesting ideas in general the reviewers agree that the paper lacks clear results and is not an easy read the paper proposes a factorisation of value functions a topic that has received quite some attention in the literature eg qplex and it seems that their is not sufficient innovatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses the problem of policy optimization in policy gradient methods pg in deep rl due to the offpolicy nature of using minibatch data to make updates to the policy the policy updates can becom... | the paper addresses a constrained policy optimization through an addition of a virtual trust region trained with an attention evaluations show that the proposed method outperforms other onpolicy methods most of the time the reviewers agree that the method is novel and effective and the evaluations are extensive the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new regularization method for neural networks the main idea is to reparametrize the neural network after each update by rescaling the weights without changing the encoded function the ... | the proposed enorm procedure is a normalization scheme for neural nets whereby the weights are rescaled in a way that minimizes the sum of lp norms while maintaining functional equivalence an algorithm is given which provably converges to the globally optimal solution experiments show it is complementary to and perhaps... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces relative molecule attention transformer adding distance bond and a neighborhoodembedding in the attention matrix and pretrain the model on 4m molecules via context pretraining and on 2... | this paper presents an extension to the mat model by using relative attention that considers graphlevel distance geometric distance and bond type between nodes during the attention computation this is shown to lead to improved performance on several benchmark datasets against mat and grover the inclusion of additiona... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work reduces the need for prompt engineering for fewshot tasks by optimizing only the wordembeddings of unused tokens in the llm results on multiple datasets showed reasonable results which imo seems w... | the paper presents a prompt learning method for fewshot learning in nlp in particular they proposed dart a new soft prompt tuning method to optimize the label representations and template overall the paper is wellwritten and wellmotivated the proposed approach is interesting the experiments were well justified and s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper attempts to solve the problem of image inversion by introducing three augmentationbased techniques it specifically tries to solve the problem of class inversion which generates an interpretable i... | this paper presents a new method for solving the problem of inverting image classifier models the authors introduce three new augmentationbased techniques to do this the techniques are validated using vision transformer and mlp models and compared against previous methods the reviewers appreciate the problem that the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an evolutionary strategy esbased auxiliary loss search for training neural networks for rl the main motivation is that while it is known that auxiliary losses can improve training by aid... | the paper introduces an interesting evolutionary scheme for blackbox hyperparameter optimisation for representation learning looks like a useful and general tool for optimising rlagent in case the compute is not a constraint |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an edgeindependent graph generative model besides the model the paper also proposes the training process of the model and some theoretical contributions unfortunately the evaluation of th... | the paper proposes an edgeindependent graph generative model that can capture heterophily the authors propose a 3stage process to obtain the node representations the idea of factorization in the form of bbtcct is an interesting approach to model heterophily the paper can be improved in terms of writing to better motiv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides faster algorithms for solving the ell2 kronecker product regression problem which is a least squares regression problem where the design matrix is a kronecker product of several smaller... | all reviewers felt that this paper made a solid technical contribution on algorithms for kronecker regression and should be accepted to the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how to use models to hide data strengthes i checked the performance which seems to be very impressive and is the main reason i argue for acceptance the paper is also well written and orga... | the reviewers are generally positive with reviewer lxtr being mostly enthusiastic about the work both reviewer lxtr and 5e9b believe the work of encrypting and transmitting secrete data with dnn is novel and the work is well executed with thorough experimental results and technical details the reviewers raised several ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly deals with the theoretical support for the loss function metalearning and focuses on illustrating the generalization superiority of the taylorglo method 1 although the generalization perfo... | the paper presents a method for metalearning the loss function the analysis mainly concerns the recently proposed taylorglo method on the slightly less recent baikal loss there was no consensus on this paper but no reviewer was willing to fight for acceptance either i found the paper not selfcontained with important no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes to tackle the problem of retrieving and clustering physiological signals by learning clinical prototypes via supervised contrastive learning three readily available patient a... | this paper proposes to learn clinical prototypes via supervised contrastive learning to facilitate the reliable retrieval of clinical information and clustering in large datasets the presentation of the paper could be substantially improved eg the overview and motivation of the paper the definition of clinical prototy... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the way that use data distribution to detect malaria parasites is novel 2 a validation of the benefits of structured uncertainty when identifying synthetic artefacts applied to brightfield microscopy the ... | after rebuttal the manuscript receives 2 weak accept and 2 borderline the authors have clarified the issues raised by the reviewers two reviewers concern the limited novelty but they also think the proposed work and released dataset will make a good contribution to the conference overall most reviewers are satisfied wi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an effective method autodistill to compress several student models with various computation costs at once by combining fewshot nas and taskagnostic knowledge distillation autodistill all... | the submission introduces an approach to searching for student architectures to distill large language models into the authors divide the search space into different sizes of student model train a superlm for each model and then select the optimal student from within these using knowledge distillation while several of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the problem of cooperative multiagent reinforcement learning and proposes a novel way to learn the dynamic state dependent coordination graph for the joint action selection from factori... | all reviewers found that the paper offers interesting contributions for multiagent rl and favour acceptance of the paper the strengths of the paper are summarized below good algorithmic contribution offers a new set of benchmark tasks for coordination in marl settings exhaustive experiments on complex tasks with a r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a contextual knowledge distillation approach by leveraging two types of contextual knowledge word relations and layer transforming relation recent advancement in this area emphasizes the ... | this paper proposes a new method to perform knowledge distillation kd for transformer compression where two types of contextual knowledge namely word relations and layertransforming relations are considered for kd both pairwise and triplewise relations are modeled this paper receives two weak reject and two weak acce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update the authors have addressed my concerns taking also into account the responses to the other reviews my positive view of the paper has been confirmed and i have therefore increased my score summary ... | this paper provides a novel theoretical analysis of epochwise double descent for a linear model and a twolayer nonlinear model in the constantntk regime some reviewers noted that these models may be too simple to offer a full explanation for the phenomenon in stateoftheart practical models for which the ntk is known to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes amortized proximal optimization method which parameterizes proximal point method and performs online metalearning the parameters during training specifically they emphasize the importanc... | this paper proposes a technique for online adaptation of optimization hyperparameters the key advance seems to be the simultaneous minimization of function and weight space discrepancy in addition to the minimization of the minibatch loss all reviewers recommended this paper be accepted one reviewer raised their score... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores how well different visual reasoning models can learn systematic generalization on a simple binary task they create a simple synthetic dataset involving asking if particular types of objec... | this paper generated a lot of discussion paper presents an empirical evaluation of generalization in models for visual reasoning all reviewers generally agree that it presents a thorough evaluation with a good set of questions the only remaining concerns of r3 the sole negative vote were lack of surprise in findings an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
motivated by the empirical success of federated averaging to generalize to new tasks after finetuning this paper seeks to connect this empirical success with a theoretical argument for how well fedavg is ca... | this work provides an analysis explaining why fedavg can produce more generalizable representations than distributed sgd theoretical guarantees are presented for a multitask linear regression setting and further empirical results demonstrate the effectiveness of learning representations with image classification tasks ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
good points the objective of the paper is sound fight distributional shift in systems whose predictions might have lifechanging consequences eg data bias toxicity prediction models etc the paper is wellw... | paper summary this paper considers the problem of distributionally robust optimization dro in which one is attempting to minimize a loss on the worst of all distributions that are some distance here measured in terms of kl divergence from the training set the main novelty here is that this adversarial distribution is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a vector quantized codebook based method for blind face restoration specifically the face codebook is first learnt from an encoderdecoder convolutional network to leverage global context... | this work establishes a face restoration algorithm via integrating and optimizing several existing techniques including vqgan codebook prediction and transformer the key innovation comes from a transformerbased prediction network named codeformer which may somehow exploit the global contexts helpful for codebook lookup... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors studied improving the efficiency of adversarial training the authors first analyzed the difference of perturbation generated by fgsmrs and pgd and proposed an efficient singlestep ... | this paper aims to improve the efficiency of adversarial training specifically by analyzing the differences between the adversarial perturbations generated by fgsmrs and the adversarial perturbations generated by pgd this paper proposes a new singlestep attacker ipgd which imitates pgd by creating diverse adversarial p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors find that the popular triplet loss will force all sameclass instances to a single center in a noisy scenario which is not optimal to deal with the diverse and distinct subclasses after some anal... | this paper is truly borderline on one hand the theoretical contribution seems novel and interesting however there appears to be somewhat of a gap between theory and practice there is unfortunately another problem according to the authors the main contribution of this publication is arguably the introduction of the ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea is interesting its application to graphs is novel and the paper is well written experiments illustrate the behaviour of the proposed approach im wondering why in the problem formulation sect 21 in ... | meta review this paper proposes a new method to sparsify an undirected graph by optimizing an objective function based on a principle of relevant information the rationale for and properties of the objective objection are fairly well explained and the empirical performance of the method is illustrated in experiments so... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper is interested in parsing compound questions for querying on knowledge graph eg metaqa by zhang et al 2017 the paper proposes to have two modules one that segments the question into partiti... | an interesting task learning to decompose questions without supervision reviewers are not convinced by evaluation initially evaluated on metaqa only later relation classification on webquestions has been added it is not really clear that the approach is indeed beneficial on webquestion relation classification no a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is generally well presented however a main issue is that the optimization algorithms for the l0norm regularized problems section 312 and section 32 are not correctly presented specifically in the ... | the paper motivates the need for robustness citing a paper on adversarial attacks the type of perturbations are quite different and of greater concern than those originally included in the work namely additive gaussian or laplace noise this was raised by reviewers 1 2 and 3 the authors provided a detailed rebuttal in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
optimizing neural network memory is broadly done through two channels 1 local operator level like storing only signs of a relu function or bit quantization 2 global graph level like optimizing checkpoi... | the reviewers all agree that monet proposed in the paper which optimizes for both local and global memory saving in deep learning models is theoretically sound and experimentally convincing accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting conceptual advance connecting causality disentangled representation learning invariant representations and robust classification the authors propose a counterfactual gener... | the paper presents a conceptual advance connecting causality disentangled representation learning invariant representations and robust classification authors propose to decompose the image generation process to independent mechanism that can be composed foreground masks shapes forground texture and backgrounds allowin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to utilize conditional normalizing flows to exploit weak supervisory signals by converting the conventional likelihood maximization problem into a constrained optimization problem the pap... | the paper proposes a new approach for weakly supervised learning based on conditional normalizing flows reviewers generally found the paper to have an interesting novel proposal with empirical promise however some concerns were raised to name a few 1 clarity several reviewers found portions of the technical content ha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel network quantization method to reduce the bitlengths of the network weights and activations which is one of the most important problem for resourcelimited devices the presentatio... | summary the paper was initially well received by reviewers remarking the new gradient estimator a new dropbits technique and an interesting observations of better performance when the bitwidth is learned the experimental results also look promising showing improved training performance and test performance including o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a generic saliencyguided method sgqn for visual reinforcement learning aiming at improving the generalization capabilities and robustness of deep reinforcement learning policies this is... | the paper proposes a method for ignoring taskirrelevant background information for rl algorithms trained directly from visual inputs the method consists of two parts a a consistency loss b a selfsupervised learning objective on masks reviewers unanimously agree that contributions made by the paper are significant and i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper replaces the dotproduct similarity used in attention mechanisms with the negative hyperbolic distance and applies this new attention to the existing transformer model graph attention networks gat... | reviewers all agree that this is a strong submission i also believe it is interesting that only by changing the geometry of embeddings they can use the space more efficiently without increasing the number of parameters |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the problem of multiarmed bandits problem with delayed feedback most of the traditional algorithms focus on either stochastic or oblivious adversary settings thus in the case where the se... | the paper makes a solid technical contribution in the online learning literature providing the first bestofboth worlds algorithm for online learning with delayed feedback despite building heavily on existing algorithmic ideas the paper involves some critical technical novelties that enable their results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies an interesting idea that applies mixup to federated learning fl for addressing some challenges such as noniid data basically this is an empirical paper and the overall organization is goo... | the paper proposes to apply mixup to federated learning fl for addressing the challenge of noniid data the idea is very simple but seems to work well in empirical evaluation some concerns were raised regarding the communication costs and privacy the authors rebuttal and revised draft provide reasonable answers to these... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper concerns the task of animating a set of one or more source images driven by a target or driving video applications include efficient video compression eg for video calls or retargeting a video o... | consistent reviews both in content and in score the crossidentity motion transfer is a good test of the papers capability it would improve the paper to provide more such examples which are clearly more challenging than the sameidentity case the concerns about the limited diversity of example subjects mentioned by r1... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the network revenue management problem with reusable resources where the pricedependent arrival rates of all products are unknown and need to be learned they propose ucb and tsbased batche... | executive summary the paper studies a pricebased network revenue management problem with multiple products and multiple reusable resources with an apriori unknown pricedemand function the authors approach this as a batched bandit learning problem and their main result is an algorithm with cumulative regret tildeoj sqr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents multiple techniques for training models with different feature priors ie inclinations to focus on different aspects of the training data and combining them either post hoc via ensembles o... | the manuscript proposes a framework for imposing priors on the feature extraction in deep visual processing models the core contribution of this manuscript is the systematic formulation and investigation of how different distinct feature priors leads to complementary feature representations that can be combined to prov... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper gives a new perspective on generalization motivated by the success of selfsupervised learning especially on noisy data they view the generalization error as consisting of 3 independent components... | the paper offers a new take on generalization motivated by the empirical success of selfsupervised learning two reviewers found the contribution novel and interesting and recommend acceptance with one reviewer championing for it two reviewers remain skeptical about the value of the paper and the authors are encourage... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with further development of randwalk model of arora et al there are stable idioms adjectivenoun pairs and etc that are not covered by randwalk because sometimes words from seemingly differen... | ar1 is concerned about lack of downstream applications which show that higherorder interactions are useful and asks why not to model higherorder interactions for all ab pairs ar2 notes that this submission is a further development of arora et al and is satisfied with the paper ar3 is the most critical regarding lack of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this submission studies the metalearning problem in rl under offline settings a new algorithm is proposed to address this problem by extending the recent varibad algorithm designed for online metarl... | the paper studies offline meta reinforcement learning overall the scope of this contribution seems limited reviewers have raised concerns about the significance of the presented results given the assumptions and that the experimental environments are not extensive and do not fully support the claimed advances |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an interesting idea of enhancing the contextualised word embedding learned by transformers with longrange semantic dependencies via topic learned by poisson gamma belief network pgbn a... | this paper proposes enhancing contextualized word embeddings learned by transformers by modeling longrange dependencies via a deep topic model using a poisson gamma belief network pgbn the experimental results show incorporating topic information can further improve the performance of transformers while this is an inte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a generic method to construct conformal prediction sets in an adversarial setting since standard conformal prediction method assumes an iid assumption for training and testing input its ... | this paper studies the problem of producing distributionfree prediction sets using conformal prediction that are robust to testtime adversarial perturbations of the input data the authors point out that these perturbations could be label and covariate dependent and hence different from covariateshift handled in tibshir... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is nicely written and the important aspects of the modeling adequately described the paper looks at an important problem of distilling uncertainty representations to reduce runtime latency and con... | meta review this paper introduces an efficient single network based on knowledge distillation from the ensemble method to perform both prediction and uncertainty quantification it receives three weak accept reviews reviewers believe the addressed problem is important the proposed method is technically novel and the exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper authors propose a conditional generative model which predicts the missing expression given the surrounding code snippet authors represent programs as graphs and use some offtheshelf encoder to... | this paper presents an interesting method for code generation using a graphbased generative approach empirical evaluation shows that the method outperforms relevant baselines phog there is consensus among reviewers that the methods are novel and is worth acceptance to iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the behavior cloning based strategies of offline rl algorithms in different type of environments and reports that performance primarily depends on model size and regularization the results... | the paper studies the behavior cloning based strategies of offline rl algorithms in different type of environments and reports that performance primarily depends on model size and regularization the results contradict some of the earlier claims and the authors conjecture that model size and regularization characteristi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a minimax formulation for removing backdoors from a given poisoned model based on a small set of clean data unlike previous work which breaks down the minimax into separat... | this paper investigates defense against backdoor attacks for models that have already been trained it proposes in particular a minmax formulation for backdoor defense in which the inner maximum seeks a powerful trigger that leads to a high loss while the outer minimum seeks to suppress the adversarial loss so as to unl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript introduces shape matching framework based on multiresolution functional maps the idea is that the laplacebeltrami operators and their spectra are computed for shapes at various resolution and... | all reviewers voted for acceptance of the paper reviewers acknowledge that the paper addresses an important problem choosing the size of the truncated eigenbasis for matching using functional maps also strong empirical performance on a number of datasets was noted the rebuttal also addressed many points raised by revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about the problem of estimating the mean in highdimensional binary markov gaussian mixture models if delta denotes the associated flip probability of the stationary homogeneous markov chain an... | the paper addresses the problem of highdimensional statistical inference from dependent samples this is a recently emerging area and the authors establish nearly tight minimax error rate bounds for a basic statistical model gaussian hidden markov model the reviewers appreciated the technical strength of the paper but... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a zerothorder optimization algorithm for distributed multiagent systems with timevarying communication networks the authors show that their presented multiagent zerothorder projection av... | the paper is about a topic that has been extensively studied for more than a decade hence a very precise discussion of prior work as well as the new insights is absolutely necessary unfortunately both are lacking at this stage thus the paper cannot be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an implementation trick to reduce the memory footprint of relative attention within a transformer network specifically the paper points out redudant computation and storage in the tradit... | 1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion improvements to a transformer model originally designed for machine translation application of this model to a different task music generation compelling generated samples and user study 2 describe the weaknesse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a simple solution to improve the existing selfsupervised representation learning by adding an additional branch to predict the rotations experiments are conducted on cifar10 imagenet and... | this paper proposes an extra loss to add on top of the contrastive learning the contrastive learning seek representations invariant to transformation while the extra loss the authors proposed encourage representations to be equivariant to the transformation ie retain information about transformation in later representa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new gradientbased feature attribute method distilled gradient aggregation dga that extends fullgrad fg on quantitative and qualitative evaluations the authors demonstrate that their me... | this paper proposes a new gradientbased attribution method distilled gradient aggregation dga which combines the strengths of both local and global attribution methods the reviewers and metareviewer found the method novel and supported by promising results both qualitatively and quantitatively during the rebuttal pha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after discussion with authors i want to thank the authors for their incredibly detailed responses and engaging so actively in the discussion some of my criticism could be addressed while other issues... | this paper presents a representation method for time series data in the sequential vae where the global feature z and local features s are better disentangled the intuition behind learning z is to maximize the mutual information between z and input x while minimizing the mutual information between z and s the second m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper presents an analysis of two systems for poisoning attacks the paper shows that perturbing facial images does not offer long term security future systems can still recognize the once perturbed images s... | this paper reveals that popular data poisoning systems fawkes and lowkey fail to effectively protect user privacy in facial recognition the methods to defend against poisoning attacks are quite simpleyou can either adaptively tune the face recognition models or just wait for more advanced facial recognition systems giv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new valueaware objective for model learning that directly builds on vaml specifically using a taylor series approximation for the next state value prediction wrt the state under cons... | this paper studies modelbased rl in the setting where the model can be misspecified in this case mle of model parameters is a not necessarily a good idea because the error in the model estimate compounds when the model is used for planning the authors solve this problem by optimizing a novel objective which takes the q... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies continuoustime reinforcement learning with general discounting rewards and hyperbolic survival functions under the framework of optimal control ie a generalization of the hjb equation the ... | this paper studies various forms of discounting in continuous time with a deep learning solution one of the motivations for doing so is to broaden the range of inverse rl algorithms overall the reviewers appreciated the perspective taken in this paper and the proposed application of the idea in an irl context there wa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors extend the theory of 6 for mild overparameterization where the student has one or two more neurons than the teacher relu activation function for several chosen families of local minima the autho... | thank you for your submission to neurips this paper is on the structure of critical points and local minima in overparameterized two layer relu neural networks the reviewers and i after the author response are in agreement that there are interesting contributions in this work however the reviewers noted significant ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers an online version of the well studied santa claus problem a classical problem in fair division there are n agents and m items that arrive online when an item arrives its value for each ... | the santa claus problem is a wellknown problem in fair division and the online setting considered in this paper very natural and interesting paper the reviewers found the paper wellwritten and interesting we encourage the authors to incorporate the reviewers comments into their final version further given this problem ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors first define an epsiloncoreset for the wasserstein dro problem as the following modification of the geometric coresets to the underlying setting the coreset is a weighted desirably sparse weigh... | from the reviewers comments and my own reading of the paper the idea of bringing the notion of coreset from computational geometry to bear on the wdro problem is novel and has the potential of further development the authors should carefully address the reviewers comments in the revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
modern day policy and value function optimization procedures routinely include terms beyond the typical scalar reward such as to induce regularization encourage exploration and perform discriminative featur... | the reviewers in general did not seem to be strongly impressed by the contribution of the paper as the authors noted some reviewers seemed to misinterpret the claims of the paper the paper is not to design new morl algorithms that are significantly better on standard morl benchmarks but is to apply morl on offline rl ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the scope of this work falls into image representation learning and the authors aim to study synthetic images with thresholded polynomial functions in a generative process in particular the authors proposed... | all reviewers are positive about this paper after rebuttal the authors have well solved the reviewers concerns and improve the quality of this paper so i suggest accepting this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper lacks any noveltycontribution as it just applies wellknown and standard architectures for object detection ssd and image classification lenet trained with standard algorithms and losses moreover... | 1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the paper tackles an interesting and relevant problem for iclr optical character recognition in document images 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your expert opini... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two new techniques for the negative sampling of dynamic link prediction and two new visualization techniques and introduces five new dynamic graphs datasets from underevaluated domains li... | this paper presents multiple contributions towards understanding evaluating and developing better methods for dynamic link prediction this includes new sampling strategies that better match realworld applications a simple but surprisingly strong baseline which already beats several more sophisticated methods a ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to combine normalizing flows with generative diffusion models in such a way that the target data is first nonlinearly transformed via the flow and then the distribution over latent embedd... | this paper presents a simple approach called pdm for composing nonlinear and complex normalizing flows with scorebased generative models since scorebased models can be considered as a special form of continuoustime normalizing flows pdm corresponds to a composition of different classes of normalizing flows pros com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of minimizing the sum of a differentiable loss function over a set of examples and builds on the observation by lu et al that convergence can be sped up compared to randomiz... | this paper improves the random reshuffling method via a herding procedure aimed at finding a better permutation of the training dataset authors start by providing intuitive explanations based on a practically ineffective algorithm and subsequently propose a gradient balancing technique this enjoys the favorable propert... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is based on sound theoretical motivation the proposed approach works fairly well the paper contains a small scale empirical validation limited experimental comparisons to previous work i be... | meta review this was a difficult paper to evaluate the application was good however some of the description and claims were not as clear as they could have been as acknowledged in the authors response |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors discuss the phenomenon that using a projector on a students feature can improve the performance of distillation when the feature dimensions are the same they focus on the projector between teach... | the paper received 5 positive reviews and the reviewers increasedremained their scores after the rebuttal all the reviewers agree that the proposed method is simple yet effective and the experiments are comprehensive overall this work proposes an improved feature distillation method via projector ensemble but i hope t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a large highresolution cell membrane segmentation dataset and also proposes a new evaluation metric that is more consistent with human perception the new metric is called perceptual hau... | this paper focuses on a segmentation of cell imagery as opposed to the more commonly studied domain of natural images among its contributions are a novel metric for evaluation of results and a novel dataset these are acknowledged by the reviewers as strengths multiple issues raised in the initial reviews were addressed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
two highlevel points about my review before going into the details 1 this paper was a thoroughly enjoyable and insightful read kudos to the authors for attempting such a comprehensive overview of likelihood... | the manuscript proposes a novel estimation technique for generative models based on fast nearest neighbors and inspired by maximum likelihood estimation overall reviewers and ac agree that the general problem statement is timely and interesting and the subject is of interest to the iclr community the reviewers and acs... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed the group invariant learning groupil which splits the training data into groups based on spurious correlations first they first theoretically analyzed and clarified necessary conditions o... | this paper presents interesting new theory and algorithms to address groupinvariant learning in the presence of spurious correlations between unimportant features and the target a robust discussion between reviewers and authors lends confidence that the paper should be accepted id encourage the authors to go over lang... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes neuroschedule a gnnbased scheduling method for hls at the core of neuroschedule is a novel priority function that predicts the priority rank of a ready operation which is used for list s... | this paper presents neuroschedule a gnnbased scheduling method for highlevel synthesis to enhance the scalability for various scheduling problems with different settings the paper additionally adopts pretrainingfinetuning methodology for pretraining the paper use data labeled by the ilpbased scheduler in supervised way... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the hypothesis of this paper is that learning a contextual metric allowing pairwise distances to depend on the data can improves clustering and is motivated by two examples omniglot intersecting ci... | this paper proposes to use contextbased metric learning where an attentiontransformerbased mechanism is used to incorporate neighborhood information for deep learningbased metric learning this was initially demonstrated on two simpler datasets although larger ones were added during the rebuttal on the whole reviewers a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study imitation learning in contextual markov decision processes cmdps three different frameworks offpolicy online and interactive are considered the authors inspect the difference... | the paper proposes a new imitation learning setting where some context known by the expert is unobserved by the learner both during learning and when exploiting the learnt policy the value of this contribution has been acknowledged by the reviewers some reviewers raised questions about the novelty of this work compar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper applies the idea of the adversarial training and virtual adversarial training to the lstmbased model in the text context the paper is in general well written and easy to follow extending the idea... | this paper is concerned with extending adversarial and virtual adversarial training to text classification tasks the main technical contribution is to apply perturbations to word embeddings rather than discrete input symbols excellent empirical performance is reported across a variety of tasks the reviewers were co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the impact of different datasets algorithms and hyperparameters on the performance of recommender systems through a large number of experiments it proves that different datasets and algor... | the core idea is to specialize metalearning approaches to recommender systems the specialization is done using features on the dataset themselves so is different from usual automl approaches some code is provided allowing easy comparison to a lot of well tuned baselines in the domain yet easily reusable it is also demo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
practical federated learning fl needs to handle heterogenous resource constraints among participants existing solutions mostly rely on pruning a global model in each client which would cause uneven contribu... | this paper proposes a method to cope with heterogeneous computation capabilities of clients in federated learning the initial reviews were positive but some the highscore reviewers indicated low confidence the following concerns were raised 1 limitations in the experimental baselines 2 lack of theoretical justification... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post rebuttal thank you for the detailed response my main concern was regarding the scalability of the method to larger environments eg w visual state space i agree with the other reviewers regarding limit... | the paper presents an approach to multiagent coordination using goaldriven exploration on subspaces of the observation space the results of the paper show that the authors approach performs baselines on grid worlds and two tasks from the startcraft multiagent challenge while the rebuttal clarified many points raised b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new technique for moving the vertices of a mesh that is used as the underlying discretization for solving a pde in order to better capture relevant details without increasing complexit... | reviews for this paper were somewhat mixed but overall the ac agrees with reviewer h6gn and others that the idea in this work is creative and could inspire future work in particular while the experiments do not display diversity in terms of mesh densityshape the overall approach is compelling and fairly well verified ... |
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