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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the analysis of membership inference attacks mias in particular addressing the problem of high false positive rate fpr that still affects the stateoftheart solutions the authors sugg... | this paper proposes a technique to improve membership inference attacks by carefully applying difficulty calibration to improve the attack success rate the reviewers are split on this paper they all generally agree on the facts the paper introduces a somewhat new technique and performs a solid evaluation but the novelt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes methods for voice conversion the proposed approach follows an encoderdecoder framework in which it adds classification tasks over the learned embeddings to enhance voice conversion the r... | this paper proposes a voice conversion framework clsvc which is based on disentanglement of speaker and content information in some latent space the authors introduce two classification constraints a common speaker classifier and an adversarial classifier to improve the separation of the two embeddings experimental r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper curates data from longitudinal mobile and wearable sensors over multiple years the dataset contains additional information on physical health depression etc the paper also demonstrates how the dat... | globem is a multiyear human behaviour sensing dataset captured from mobile and wearable devices this is a highly impactful dataset that will benefit several research domains including machine learning hci and ubiquitous computing affective computing and mental health research the reviewers largely agree on the strong c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces scaffoldmaximizing training a process for learning better explanations for learned models by optimizing the effect the produced explanations have on downstream simulatability theres a l... | this paper proposed a novel scaffoldmaximizing training framework to optimize model explanations by leveraging a student model simulating the teacher model using the teachers explanations the idea of constructing explanations such that student models can better simulate the teacher is interesting and appears to be an o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall i have very few complaints about this submission the motivation is convincing the related work has the proper width and depth the rationale for choosing selection techniques is reasonable the experi... | meta by r1 assistance for target selection in mobile augmented reality meta review overall all three reviewers agree that this submission is at a level that warrants acceptance into gi 2020 there are three main issues that i believe the authors should improve in future iterations of this draft first they should add... |
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 spectralbased analysis method to analyze the modeling abilities of major gnns specifically the first use the concept of convolution support to unite the ideas of spatialb... | this paper gives a new theoretical tool to connect the gap between the spectral perspective and spatial perspective of graph neural networks the framework is considerably broad and can deal with several existing methods from this view point the connection between the spatial and spectral perspectives are made explicit ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 structure learning is an important problem though very hard the paper is well written the example from the recommender system helps to understand the terminologies and the overall model 2 the technical ... | meta review the paper introduces a new algorithm for structure learning of probabilistic soft logic psl from data providing an explanation framework for its predictions there is a consensus that some of the ideas provided in the paper are novel and will be of interest among the researchers in the field of explainable a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong data collection and labelling process including automatedcorrected and humanonly labeled data simple but effective methods for ecg captioning strong validation of the output using both quantitativ... | the reviewers were quite enthusiastic about this paper and i follow their suggestion and recommend acceptance the main open question seems to have been whether ecg analysis belongs in the medical imaging community but i agree with the authors and some of the reviewers that this paper is relevant and will find an intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a simple classificationbased approach to a newly defined problem determining ethnonationality of writers of english text data the problem of determining ethnonationality can be seen as a... | this paper proposes to use longstanding statistical learning techniques to identify the nationality of the author of a text reviewers agreed that this work is a poor fit for iclr as there is nothing here that advances our understanding of representation learning reviewers were further concerned about the soundness of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new endtoend training framework for computational prediction of protein structure from sequence this is a very important problem and any progress due to new data andor methods for util... | this paper presents a differentiable simulator for protein structure prediction that can be trained endtoend it makes several contributions to this research area particularly training a differentiable sampling simulator could be of interest to a wider community the main criticism comes from the clarity for the machine... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
flowtron 1 the authors present flowttron an autoregressive texttospeech network that is a merging of the wellestablished tacotron architecture along with flowbased generative models the benefits to flowtro... | this paper proposes an autoregressive flowbased network flowtron for tts with style transfer it integrates the tacotron architecture with the flowbased generative model extensive experiments are carried out in a controlled manner and the results show that the proposed flowtron framework can achieve comparable mos scor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors collected nine image classification datasets with multiple annotations which allow a realistic simulation of noise patterns based on these datasets a datacentric image classification benchmarkis pro... | overall reviewers appreciate the strength of the benchmark 9 datasets in different domains with multiple annotations 20 baseline methods and agree that it will benefit the research community in exploring future work related to labeling budget and model and label uncertainty many of the weaknesses pointed out by reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes to learn an adaptive lr schedule which can adjust lr based on current training loss and the information delivered from past training histories it adopts a parameterized lstm as the schedu... | the paper proposed a metalearning method for tuning the learning rate in the discussion reviewers agreed that the key issue is that the empirical evaluation is not yet sufficient to demonstrate the efficacy of the method in particular this is an especially pressing issue given that there are now many metalearning metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall this paper proposes relgan a new gan architecture for text generation consisting of three main components a relational memory based generator for the longdistance dependency modeling the gumbelsoftm... | pros wellwritten and clear good evaluation with convincing ablations moderately novel cons reviewers 1 and 3 feel the paper is somewhat incremental over previous work combining previously proposed ideas reviewer 2 originally had concerns about the testing methodology but feels that the paper has improved in revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an approximate algorithm for pca on large data the proposed algorithm computes only the principle components associated with the singular values larger than a given thresho... | the reviewers recommended rejection there was no reply from the authors the main weaknesses are no experiment on reallife dataset only simulated unsubstantiated claims about the literature no discussion on the time complexity incremental contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes contrastive learning by bounding the supervised loss with contrastive loss the bounds are tighter than those proposed by previous works the paper address an important theoretical problem ... | the paper presents an analysis of the benefit of unsupervised contrastive learning for downstream classification tasks using the crossentropy loss building on prior work the authors show that the contrastive loss can be bounded in terms of the crossentropy term and an intercept term which depends logarithmically on the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the effect of data quality on adversarial robustness specifically they focus on one measure of data quality number of times there is a perturbation that is misclassified across training i... | this paper studies the effect of data quality on adversarial robustness it focuses on a single measure of data quality number of times there is a perturbation that is misclassified across training iterations the authors study the effect of data quality on robust overfitting robustnessaccuracy tradeoffs and robustness o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses the problem of shift between train and test data distributions the authors assume that training data originate from multiple environments each with particular distribution they propose ... | this work presents a novel environmentfree invariant learning method that uses an auxiliary network to learn environmentspecific features from which environment inferences can be derived the method is composed of two jointly learned models that take care of the environment identification the learning of the invariant r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the problem of designing the activation functions of neural networks with focus on recurrent architectures the authors frame such problem as learning the activation functions in the s... | this paper proposes to automatically learn the form of the nonlinearities of neural networks in deep neural networks which the reviewers noted to be an interesting albeit significantly studied direction overall this paper falls just below the bar with no reviewer really willing to champion for acceptance reviewer 3 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has a simple message when predicting families weight vectors of labels it makes sense to use an ensemble of predictors and average them using a wasserstein barycenter where the ground metric is d... | the paper proposes a novel way to ensemble multiclass or multilabel models based on a wasserstein barycenter approach the approach is theoretically justified and obtains good results reviewers were concerned with time complexity and authors provided a clear breakdown of the complexity overall all reviewers were positiv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new approach for representation learning on hierarchical data they propose to embed hierarchical data not into the commonly used models of hyperbolic space the poincare and lorentz mod... | the paper proposes to learn embeddings into complex hyperbolic space this is an extension of the popular hyperbolicspace embeddings which have shown success on graphlike and treelike data reviews and discussion mostly centered around the lack of clear motivation for the work why complex hyperbolic spaces and the lack o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a method called environmentadversarial subtask curriculum eatc wjocj automatically generates a curricuulm of taskenvironment couples for efficient rl to this end eatc trains two polici... | i thank the authors for their submission and active participation in the discussions this papers is borderline with three reviewers leaning towards acceptance 3c967t33zhvq and one leaning towards rejection o38w reviewer o38ws main concerns are around the lack of details about how the baselines were tuned and missing tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work applies an existing system disck chen and van durme 2017 to medical concept linking they show that disck improves the mean reciprocal rank of candidate generation over several simple baselines and... | summary while the reviewer opinion on this paper varied the paper tackles an important problem while also bringing to light an existing technique that many have overlooked for this problem the main strength of this paper is that it addresses an oft overlooked subproblem of entitylinking the candidate generation stage... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work identifies the important problem of transfer learning for problems that require deep learning due to highdimensional inputs it notes that transfer learning approaches often cannot transfer very fa... | this paper explores the representations that are learned by the same network on the same data but with different objectivestasks rl supervised unsupervised though the reviewers were positive about some aspects of the paper the reviews were generally low 3336 and indicated rejection the principle recurring theme in the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
studies the problem of testtime adaptation across distribution shift and proposes i a new selftraining loss with better stability than entropy minimization ii using a diversity regularizer and iii an additi... | the paper considers test time adaptation to distribution shift which is a very important and impactful problem the authors propose an empirical method that has different pieces the most important ones being input transformation and confidence maximization and using likelihood ratio loss there were various concerns tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepin this paper the authors propose a technique called softmax gradient tampering which transforms the predicted output class probabilities to improve training performance of neural networks the authors... | this paper introduces softmax gradient tampering a technique for modifying the gradient of the softmax loss to make the loss more smooth on standard benchmarks the authors demonstrate improved training and test accuracy the reviewers are unanimous in their recommendation to not accept the paper they identify the follo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a denoisingbased method for randomized smoothing that converts a base classifier into a smoothed one with probustness to adversarial examples it considers a practical setting where the r... | the paper proposes an improved method for randomized smoothing reducing computationally complexity compared with some previous works the authors propose to learn score functions to denoise the randomized image prior to feeding it to a trained classification model more specifically two image denoising algorithms based ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting paper that deserves to be presented at workshop the article proposes a novel approach to a counterfactual explanation for optimizationbased decisions using a generalization of inverse combinato... | the paper will be an interesting addition to the workshop proceedings please refer to the reviewers comments on the limitations of the model and discuss with the pc on points you agree or disagree with and incorporate revisions in the cameraready accordingly overall i do agree with reviewer2s point on the somewhat weak... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new theoretical framework to study the taskfree continual learning problem the contribution is twofold an extension of the domain adaptation theory allowing for multiple time steps and... | this paper is wellwritten all reviewers agree the paper has solid contribution for taskfree continual learning by providing theoretical foundation first and the developing methods inspired by their theory empirical studies by comparing with a number of baseline methods demonstrate the effectiveness of the proposed meth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper looks at favorable properties of feature representations of an adversarially robust model in particular the authors look at a model trained with pgd training with an ellp adversary in terms of fa... | the paper looks at the favorable properties of feature representations of an adversarially robust model which are interesting but not surprising especially in the context of much existing literature has talked about this all reviewers gave negative scores the main issues are 1 the paper only provides experimental demon... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to design physical adversaries to attack endtoend autonomous driving systems the proposed approach maps adversarial patterns onto video frames recorded from real world to gen... | thank you for your submission to iclr overall the reviewers and i think that this paper presents some nice contributions to the adversarial attacks literature demonstrating a lowsamplecomplexity physicallyrealizable attack in a domain of clear importance and interest in machine learning the move to considering more i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a twolevel framework for the object rearrangement task the proposed framework learns a factorized entity embedding hk with two independent factors the object identity zk and the... | the paper is interesting but the relation to causality is unclear and needs to be expanded upon the paper needs to be improved wrt the writing as both the reviewers have clearly pointed out |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new model based on graph neural networks for relation extraction and evaluates it on multiple benchmarks and demonstrates its ability to do some level of multihop relational reasoning... | experiments on an interesting task inferring relations which are not necessarily explicitly mentioned in a sentence but need to be induced relying on other relations the idea to frame the relation prediction task as an inference task on a graph is interesting the paper is not very well written and it is hard to un... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method for hierarchical reinforcement learning based on the openai variant of evolution strategies the proposed method follow the hrl approach of feudal rl implementing two controllers... | this paper presents the use of scalable evolution strategies ses in hierarchical reinforcement learning after reviewing the paper and reading the comments from the reviewers here are my comments the proposal is quite novel it requires major improvements to clearly state how this proposal contributes in the field th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros this paper incorporates the multidomain domainslot pairs into the bert input so that the relations between sentences domainslot are modeled cons its better to experiment on more dataset to prove the ... | the authors explore modeling the relationship between domainslot pairs in multidomain dialogue state tracking via use of special tokens in pretrained contextualized word embeddings ie one special token for each domainslot pair or special tokens for the domain and the slot that are merged beyond this the basic architect... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article deals with the problem of partially labeled dataset if some entities are missing how sota approaches are going to behave to answer this question the authors degrade conll classical dataset by m... | this paper studies the unlabeled entity problem in ner specifically performance degradation in training of ner models due to unlabeled entities it analyzes the reason through evaluation on synthetic datasets and finds that it is due to the fact that all the unlabeled entities are treated as negative examples to cope wi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an activationbased adaptive threshold iterative structured pruning method combining several existing techniques together to perform a comprehensive pruning strengths the proposed method... | the paper proposes a strategy for incrementally pruning deep learning models based on activation values the approach can satisfy different kinds of requirements trading off between accuracy and sparsity the approach seems promising and seems to have competitive performance however the method is described by reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents hypro a novel model for longhorizon prediction of event sequences hypro its a hybrid model first an autoregressive model learns to propose predictions and a second energy function weight... | the authors propose in this submission a hybrid approach for the event prediction problem combining an autoregressive model and an energy model aiming to correct a compounding error issue that autoregressive models can have reading the submission and according to reviewers paper is well written and the approach is rea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study a new and interesting problem ie they consider the heterogeneity of both the labels and tasks in personalized federated learning which is very different from the assumptions ... | in this paper the authors study an interesting problem where clients are heterogeneous in both labels and learning tasksdomains this problem is different from most of the existing pfl settings and has great potential to broaden the application of fl to handle this case the authors propose a novel method based on parame... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a technique to identify harmful data samples in the training dataset of a gan the research question is if it would be possible to find training samples that can be removed to improve the ... | this paper advances the idea that recent influence estimation methods for supervised learning cannot be trivially applied to gans based on hara et als method the authors propose a novel influence estimation for gans and an evaluation scheme based on popular gan evaluation methods exploiting the fact that they are diffe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors formalize the outofdistribution ood detection problem in the framework of statistical hypothesis testing the proposed method called maxsimesfisher masf is designed for deep neural networks and c... | the paper considers the empirical distribution of layerchannel in cnn and proposes to use global null tests with simes and fisher statistics to aggregate the pvalues this method is competitive while computationally efficient the underlying theoretical insights are discussed in detail the paper received mixed ratings a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of this paper propose a physics based generative model named possion flow generative model pfgm in this model the source function corresponds to the data distribution and a dual odes serve as ma... | all the reviewers agreed that the paper is novel and interesting with significant contributions while there were certain concerns regarding the experimentation clarity and mathematical rigor initially the extensive rebuttal provided by the authors addressed most of the concerns hence some reviewers increased their sco... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce caesar an embodied simulator for generating multimodal referring expression datasets the generated referring expressions can include both verbal utterances and nonverbal gestures point... | all the reviewers appreciated the effort and rigour that went into the design of the proposed idea the presentation of the paper clearly shows the embedding of the work within the state of the art it is particularly appreciated that this work is likely to lead to a break through in the analysis of nonverbal referring e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose an adversarial training task for tackling the problem of filter bubbles in news recommendation problem the main aim of the paper is to propose a method which can obfuscate the news outlet in... | all reviewers agree that this paper is not ready for publication in addition to the technical comments the authors should pay attention to the comments by reviewer 3 about the naivete of the motivation provided for the work filter bubbles to the extent that they really exist there is controversy about this have multifa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced a regularization scheme based on the secondorder taylor expansion of the loss objective to improve the robustness of the trained models theoretically it used the simple linear model a... | this paper proposes a regularization approach based on the secondorder taylor expansion of the loss objective to improve robustness of the trained models against ellinf and ell2 attacks it is interesting to explore the second orderbased regularization approach for network robustness however as pointed out by the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for domain adaptation where we have access to only a small number of labeled target samples and aim to adapt a model with a small training cost they propose a fast and lightweig... | the paper proposes a domain adaptation method that is specific to autoencoder and wireless domain the proposed method shows solid gain over baseline and is simple there were multiple complaints on reviewers side regarding clarity of the abstract and application of the work and related work that was responded to by the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary and contributions the authors propose an approach for solving a constraint version of the 3d spacetime jigsaw puzzle over a video using four easier surrogate tasks the four surrogate tasks are diver... | this paper presents a new idea and approach for selfsupervised video representation learning the reviewers opinions diverge r1 suggests that the paper is marginally above the threshold r2 supports the paper saying that heshe likes the idea behind the paper r3 explicitly mentioned that heshe would like to provide a bor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the limitations of current stateoftheart sota data imputation algorithms at accurately modeling multimodal data the authors demonstrate this ineffectiveness using three toy synthetic da... | this paper makes an interesting observation that imputation error metrics may work poorly for multimodal data and proposes a creative solution however empirical evaluation of the idea on real datasets and comparison to other proposals for imputation with multimodal data are lacking i would encourage the authors to take... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces envpool an opensource software for parallel environment execution envpool aims to speed up the execution time of existing reinforcement learning rl benchmarks which can be a bottleneck ... | i would like to thank the authors for their submission and for addressing the reviewers comments i also want to thank the reviewers for their helpful feedback the paper introduces envpool an opensource system that parallelizes the execution of reinforcement learning workloads on a single node the code is well document... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper intends to improve offline reinforcement learning rl with limited data from a datapartition perspective the authors first analyze why traditional data splittings dont perform well including nonsp... | summary in offline rl typically it is not possible to run the policies to evaluate them in the environment for model selection as a result one needs to rely on the offline approaches such as ope methods to do the model selection this paper points to the importance of data partitioning over single partitioning for offl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the practical applicationlevel problem with joint optimization from frontend sensor to backend cnn algorithms authors validate the proposed methods advantages with comprehensive experime... | this paper attempts to jointly search for the sensor and the neural network architecture more specifically the proposed approach jointly optimizes the parameters governing the phlatcam sensor and the backend cnn model in terms of the approach the paper follows a well known darts formulation for the differentiable archi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work is concerned with developing a model that can produce a manipulation program in order for a robot to manipulate its surrounding to reach a goal state given an initial state the work focuses here o... | as both reviewers stated this paper is a good fit for the workshop with several positives i am not repeating all of them here since i agree with the reviewers assessment comments from the a given a natural language instruction and an input and an output scene the paper investigates how to train a neurosymbolic model ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds a novel indoor perception dataset on radience fields motivated by the recent advances of nerf overall this is an interesting and novel contribution since it exhibits a notable memory compr... | authors propose a novel largescale implicit representation dataset for perception tasks called the perfception dataset which consists of two parts that incorporate both objectcentric and scenecentric scans for classification and segmentation the dataset obtains significant memory compression rate while containing both ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper is easy to follow the main figures are wellpresented the structure is clear 2 the empirical results are promising it seems s2r significantly outperforms other methods the leading is big the expe... | meta review the paper proposes a new selfsupervised learning technique to improve the sample efficiency of rl via data augmentation this is a nice contribution that advances the state of the art the reviewers raised several points that were clarified by the authors in the rebuttal the authors are encouraged to follo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors analyze the relation between gnn robustness against attacks with heterophily and propose a method to improve gnn robustness by separating the aggregators of ego and neighborembeddi... | this work studies the relation between graph heterophily and the robustness of gnns and theoretically shows that effective structural attacks on gnns for homophilous graphs lead to increased heterophily level while for heterophils graphs they alter the homophily level contingent on node degrees under some specific assu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new method for referring video object segmentation rvos it points out an assumption that current rvos datasets make that the object referred to in the text is present in the video this... | this paper presents an approach for video object segmentation the paper considers the possibility that an object expression may not correspond to any object in the given video the approach is based on relational cycle consistency which the reviewers find technically sound the paper also has a dataset contribution afte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a variant of multimodal vae model it also argues in favour of productofexperts approaches vs additive mixtureofexperts ones the paper clearly frames the contribution within the relevant ... | the reviewers found this to be an interesting and clearlywritten paper but broadly agreed that it is not yet ready for acceptance in particular multiple reviewers felt that the experiments dont show clear benefits of the proposed svae approach when compared to the vaevae and other baselines nor do they sufficiently bac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to add an extra residual connection between a transformed word embedding and the final output layer which easily generalizes over different recurrent architectures the language model exp... | this paper considers augmenting lstm language models with a form of residual connection that adds and additional feed forward layer before the softmax that integrates the output of the recurrent cell with the input embedding this architectural variation is evaluated on the standard penn treebank and wikitext2 language ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces egotaskqa a new benchmark with questions and answers for diagnostic analyses on spatial temporal and causal relationships between entities in goaloriented task videos the dataset is ex... | the reviewers are positive regarding the high level of the contribution of the work for the neurips 2022 track datasets and benchmarks the authors properly addressed all reviewers comments and concerns during the rebuttal period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper constructs methods named curvatureeg and adaptive eg and ceg built upon a recently proposed eg diakonikolas et al 2021 a variant of eg that works under the weak mvi condition most importantly the... | the paper considers the saddle point problem of finding nonconvexnonconcave minimax solutions building oneg of diakonikolas et al 2021 that works under weak mvi conditions the work presents a new algorithm curvatureeg that works for a larger range of weak mvi condition compared to previous work and also works for the c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i would like to thank the authors of deep coherent exploration for continuous control for their valuable and interesting submission summary of the paper the basis of this work is van hoof et al 2017 the... | unfortunately some of the reviewers reactions to the author feedback wont be visible to the authors the reviewers highly appreciated the replies and revision of the paper pros the paper renders generalized exploration tractable for deep rl the idea is applicable to many drl methods and is potentially very valuable t... |
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 variancereduction technique to use when computing an expected loss gradient where the expectation is with respect to independent binary random variables eg for traini... | this paper introduces a new way to estimate gradients of expectations of discrete random variables by introducing antithetic noise samples for use in a control variate quality the experiments are mostly appropriate although i disagree with the choice to present validation and testset results instead of trainingtime r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a connection between adversarial robustness and distributional robustness a duality result is given linking the infinitywasserstein distance to an entropy regularisation problem the prob... | in this paper authors study adversarial examples from a distributional robustness point of view reviewers had several concerns about the work and all thought the paper is not above the accept threshold in particular they mentioned that the presentation and writing of the paper need to be improved and results specially ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents some new theoretical insights into a twolayer linear or nonlinear network based metalearning framework for dimension reduction and fewshot linear regression in the considered problem set... | the paper considers the problem of learning a new task with few examples by using related tasks which can exploit shared representations for which more data is available the paper proves a number of interesting primarily theoretical results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the mtsp with the goal of minimizing the longest route is considered which minimizes the maximum route this objective results in a balancedlength set of routes which compared to the sum of routes obtains a ... | this paper proposes a deep reinforcement learning approach for solving minimax multiple tsp problem their main algorithmic contribution is to propose a specialized graph neural network to parameterize the policy and used a clipped idea to stabilize the training unfortunately the reviewers remain to be unconvinced by th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
even though many people have considered prunning as architecture search it has not been explored enough so far this paper comprises a good approach for compression of achitectures using pruning based on the... | the authors propose a scheme to learn a mapping between the discrete space of network architectures into a continuous embedding and from the continuous embedding back into the space of network architectures during the training phase the models regress the number of parameters and expected accuracy given the continuous ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new fl method that computes in every communication round for each client a personalized model as starting point for the next round of federation the paper defines the clientspecific obj... | the paper proposes a personalized federated learning method which personalizes by computing a weighted combination of neighboring compatible models reviewers uniformly liked the quality of writing and level of novelty and agree on the relevance of the problem and solution the solution was deemed creative and particular... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to customize or adapt a texttospeech synthesis system to a new speaker given relatively small amount of data from that speaker it is a very well written paper with rather st... | the paper benchmarks three strategies to adapt an existing tts system based on wavenet to new speakers the paper is clearly written the models and adaptation strategies are not very novel but still a scientific contribution overall the experimental results are detailed and convincing the rebuttals addressed some of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of finding subsets of a data set on which to apply data augmentation such that the performance is as close as possible to augmenting the whole data set first the paper models ... | this work demonstrates that it can be sufficient to apply dataaugmentation only on a coreset of the data to achieve accuracy comparable to augmenting the full dataset these findings are supported by theoretical arguments in the ntk framework and by empirical evaluation the proposed method can provide a tradeoff between... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present 3d infomax a graph neural network gnn pretraining solution that leverages 3d information to generate better learned embeddings and improve performance on downstream prediction tasks wher... | this paper aims to use pretraining to bridge the gap in performance between 2d gnn and 3d gnn specifically during pretraining it trains both 2d gnns and 3d gnns on data equipped with 3d geometry to maximize the mutual information between the 2d gnn representation with the 3d gnn representation the proposed approach is ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of grasping categories of objects with dexterous hands the paper is built on top of dapg the main contribution of the paper is to add a new term to dapg so that it focuses ... | strengths reviewers agree that the method presented here is effective at better using demonstrations for learning manipulation tasks compared to the main baseline dapg the method allows the use of significantly more expert demonstrations that previously possible the simulated evaluation is extensive and shows bette... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses the beta process to do federated neural matching the brief experimental results show worse performance than the other techniques compared with also the motivation for the hierarchical beta pr... | while there was some support for the ideas presented unfortunately this paper was on the borderline significant concerns were raised as to whether the setting studied was realistic among others |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a multimodal 3d human pose estimation dataset targeting rehabilitation exercises the collected the dataset using 20 subjects they combined mmwave rgbd and imus as sensing modalities whi... | this paper presents a dataset of synchronized radar intertial sensors and rgbd images of healthy young people conducting rehabilitation exercises the paper also demonstrates how this dataset can be used as a benchmark for human pose estimation and as a catalyst for multimodal learning reviewers appreciated these aspect... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the stability prediction task on the shapestacks dataset specifically the paper creates a new extension to the dataset and it proposes the use of neural stethoscopes framework to analyz... | this submission proposes an interesting new approach on how to evaluate what features are the most useful during training the paper is interesting and the proposed approach has the potential to be deployed in many applications however the work as currently presented is demonstrated in a very narrow domain stability pre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this dataset paper aim to provide a postprocessing prediction system data that can enhances the wether prediction the dataset covers 20 years and has 10 ensemble members the data is composed of 20 years w... | this is a high quality high impact dataset for weather forecasting with a novel task and metrics to measure the quality of prediction by forecast ensembles the reviewers are in agreement that this paper should be accepted congratulations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
2d animation data are expensive to collect since they have different characteristics with 3d animations simply projecting 3d animations to 2d are not sufficient so that the author proposes a novel approach... | this paper presents a rich dataset aimed at creating supervision for 2d cartoon tasks the dataset is created by procedurally converting open source 3d computer graphics moviesshorts into flattened 2d frames care is taken in describing both the motivation and limitations of this approach in an area with a dearth of good... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose some metrics based on thresholded uncertainty to evaluate the reliability of uncertainty estimation methods for deep learningbased segmentation which is of interest to the community effe... | this paper presents a simple yet effective method to evaluate uncertainty applied to tumor segmentation problem this short paper is well written and the results seem relevant to midl |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of deriving ntk for deq models and shows that deq models have nondegenerate ntks even in the infinite depth limit it also provides several experimental comparisons on the pe... | this paper combines recently emerging ntk theory and kernels with deq models in particular the authors use the rootfinding capability of deq models to compute the corresponding ntk of deq models for fully connected and convolutional variants the reviewers raised various concerns including lack of experimental details i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper approaches the bit quantization problem from the perspective of neural architecture search by treating each possible precision as a different type of neural layer they estimate the proportion of e... | the paper proposes a quantization framework that learns a different bit width per layer it is based on a differentiable objective where the gumbel softmax approach is used with an annealing procedure the objective trades off accuracy and model size the reviewers generally thought the idea has merit quoting from dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary and contributions this paper provides empirical evidence showing that optimizing a parametric mix of regularizers when training a model provides better generalization than using handcrafted ones the... | the paper in its most recent version claims that deep neural networks when very carefully regularized outperform methods such as gradient boosting trees on tabular data this is genuinely surprising to me in a good way and i suppose it is as well to the community the paper initially received negative reviews with two k... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper seems to be the first application of diffusion models for discrete language data to deal with the discrete nature they propose to my understanding a softmax layer that maps dense vectors into a d... | this paper introduces a new nonautoregressive language model based on continuous diffusion models which have been quite successful in the vision area all reviewers agree that the method is novel this paper is wellwritten and the experiments are convincing although there are concerns about the efficiency this paper is w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a framework called adaptive qlearning that integrates the advantage of offline learning and online learning poor writing inadequate experiments design this paper at its current status i... | in this paper the authors studied reinforcement learning applications that have access to both online and offline data with limited online interaction though in order to handle the mixture of online and offline data efficiently the authors proposed a new paradigm called adaptive qlearning which treats offline and onli... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes hsgd as a continuous approximation to sgd multi pass version it first shows an approximation theorem that justifies the closeness between the continuous hsgd and the discrete sgd then by ... | the paper addresses an important question regarding the trajectories of sgd in highdimensional settings the theoretical derivations of the paper builds on top of prior works but nonetheless is sound most reviewers agree that the paper advances the knowledge in this area |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to quantify uncertainty in medical imaging which is an important task for clinical applications with variational inference it uses the unet architecture and brats18 dataset for e... | the paper introduces a method for uncertainty quantification for medical applications which quantifies both aleatoric and epistemic components the paper initially received three strong reject recommendations the main limitations pointed out by reviewers relate to the limited contributions either methodological or appl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a theoretical work in which the authors derive a set of normative models that describe the general structure of memory networks that can perform errorfree recall of a given set of input patter... | the paper is well written and in addition to provide a unified perspective on heteroassociative and autoassociative memories via feedforward and recurrent svm networks it shows how in the proposed framework is possible to use conventional kernel methods to design an attractor network that can store an exponential numbe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new approach to perform deterministic variational inference for feedforward bnn with specific nonlinear activation functions by approximating layerwise moments under certain conditions... | the manuscript proposes deterministic approximations for bayesian neural networks as an alternative to the standard montecarlo approach the results suggest that the deterministic approximation can be more accurate than previous methods some explicit contributions include efficient moment estimates and empirical bayes p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates sampleefficient finetuning of controllers by adding an approximate control lyapunov function to the conventional cost employed for policy learning this addition enables the usage of ... | the paper introduces a theoreticallyfounded approach to an important problem of efficient finetuning it is wellwritten clear and contains hardware experiments including a quadruped however the experimental evaluation is rather simple and lacks comparisons to baselines main pros the work is theoretically founded and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well organized with sufficient background discussion and the related works the annotation and methodology introduction is clear and mostly without error this paper lies in an interesting settin... | while reviewers believe that the motivation of the paper is strong and the idea is interesting the ultimate execution of the paper is not up to the standards of iclr i believe the biggest concern is the precise privacy guarantee of the method as pointed out it is an extremely strong assumption that the model structure ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a set of datasets for long range graph learning the datasets include sufficient samples and detailed construction steps the evaluation supports the claim that the tasks requires long ran... | in this paper the authors present a benchmark for longrange graph learning all reviewers found this to be wellmotivated and appreciate that this work provides a diverse suite of tasks and covers a range of graph properties during the discussion period the authors further clarified several reviewers comments the feedba... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends earlier work on masked autoencoders mae with an application on selfsupervised learning paradigm for audio processing the main subject that is subjected to is mel spectrogram both encoder ... | the paper has two strong accepts and two borderline reject reviews however as one of the reviewers did not engage with the authors postrebuttal i had to interpret the authors response to the reviewers concerns and they seem to properly address them even including a new experiment into the paper the work seems to have b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper applies an interpretability method based on discovering prototypical inputs to the problem of interpreting reinforcement learning rl policies the authors create a model that uses a time contrasti... | this paper proposes protox a method to identify input prototypes of reinforcement learning agents that are representationally similar to tetsttime inputs this allows one to surface relevant training examples matching the action predictive behavior seen at test time this is proposed as an interpretability method to expl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies smoothed online convex optimization in particular the authors proposed an online gd method with different step size predicted by the discounted normal predictor the proposed combination i... | all the reviewers were happy with this paper there were some comments about experiments and additional results eg a lower bound but the reviewers generally thought the work in the paper is solid enough to merit acceptance i encourage the authors to incorporate the discussions that clarify various points in the final ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is a good idea it is based on the notion of following the same line of reasoning as the prior work of mhgan however it makes the crucial advance of allowing the use of gradient information for the... | the consensus among the reviewers is that this is a borderline paper its main idea is sensible and natural unfortunately while the reviewers appreciated the authors responses to their comments they felt that the paper failed to demonstrate the usefulness of the idea beyond toydatasets the latter would considerably stre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses the uniform stability of zeroorder optimisation algorithms using the gaussian randomisation for the gradient estimator that was put forward and extensively analysed by nesterov and spokoi... | the paper provides generalization bounds for zeroth order stochastic search zoss based on algorithmic stability the paper appears to follow from a fairly modest modification of hardt recht and singer 16 but the consensus among reviewers is that this modification is not trivial and the bounds are novel and interesting c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper presents an idea of learnability lock a system that aims to control learnability of individual datapoints or data classes the system builds on top of recent work on data learnability where in essence ... | the paper considers a relevant and interesting problem of protecting the intellectual property of data the goal of the proposed method is to prevent unauthorized usage of the data and the protection is attained when a model trained on the perturbed dataset will predict poorly and thus cannot be considered as a realisti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes doublyasynchronous value iteration davi that generalizes asynchrony from states to states and actions the intuition behind davi is incremental maximization where maximizing over a few ac... | the paper proposes and analyzes a new asynchronous value iteration method which extends asynchrony from states to states and actions the reviewers have found the paper technically sound and well executed and they agree that it deserves publication in preparing the final version of their paper the authors are invited to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose a novel way to do task oriented object detection dataset used is coco task author modify the backbone used in detr model to feed the transformer encoder with textual features along with imag... | the paper proposes a taskoriented instance segmentation transformer toist approach for finding objects that best afford a verbindicated action to handle the affordance recognition task toist proposes two approaches of teacherstudent knowledge distillation it leverages the referring expression comprehension algorithm a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces adversarial surprise a new approach for unsupervised reinforcement learning in stochastic bmdps where the goal is to explore an environment without rewards the algorithm uses a single ... | the idea of having two policies with opposing strategies one aiming to maximize a notion of surprise whereas the other tries to minimize it is an interesting one however even after the author rebuttal all reviewers have lingering concerns about the evaluation protocol in addition there are remaining questions about the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new method for learning example weights together with the parameters of a deep neural network the difference between the proposed method and previous work is that they use a constraint ... | to solve imbalance classification problem this paper proposes a method to learn example weights together with the parameters of a neural network the authors proposed a novel mechanism of learning with a constraint which allows accurate training of the weights and model at the same time then they combined this new learn... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to integrate planning into dreamer the main idea is to apply a planning module on top of dreamer to improve the quality of action selection the planning via mcts is on the learnt latent ... | this paper proposes an extension to the dreamer agent in which planning either via mcts or rollouts is used to select actions rather than sampling from the policy prior the results show small improvements over the baseline dreamer agent pros important study on incorporating decisiontime planning into dynabased agents... |
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