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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose a mixupstyle data augmentation method under the data distribution shift context in particular data distributions are formulated as mixture of distributions ie domains and two distribution...	the manuscript focuses on model robustness under distribution shift specifically domain shifts and subpopulation shifts domain shift is where the test domain and train domain are disjoint subpopulation shift is where test distribution has different mixture proportion than train distribution the assumption is that domai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses the importance of forward prediction in physical reasoning and particularly in the phyre benchmark a dataset of physical tasks where the agent is asked to place a ball of a chosen radiu...	this paper evaluates several methods for physical prediction on the phyre benchmark finding that while objectbased methods eg in transformer perform better in terms of predictive accuracy pixelbased methods eg stn deconv perform better in terms of downstream task performance the justification is that it is easier for t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents new variants of adam and amsgrad that bound the gradients above and below to avoid potential negative effects on generalization of excessively large and small gradients and the paper dem...	the paper was found to be wellwritten and conveys interesting idea however the ac notices a large body of clarifications that were provided to the reviewers regarding the theory experiments and setting in general that need to be well addressed in the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new algorithm called simultaneous replanning and execution sre designed for planning problems where additional goalsjobs arise during the plan execution of a plan for the original prob...	dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the construction of the training dataset is clearly flawed by the use of an automatic algorithm that would certainly introduce a strong bias and noisy labels even though the dataset is supposed to encode c...	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 guided image modification of images in this case of facial attributes the proposed method is in general wellexplained although some details are lackin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents some experiments using pretrained code embeddings on the task of predicting a method name from the code of method body the paper is well written and the motivations and the design of empi...	all three reviewers agree that the research questionshould pretrained embeddings be used in code understanding tasksis a reasonable one however there were some early issues with the way in which the paper reported results involving both metrics and baselines after some discussion with the reviewers it seems that the pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a novel approach for video understanding they present temporally adaptive convolutions tadaconv based on dynamic networks by adapting the convolutional weights on each frame with its te...	the authors study the problem of video classification and propose a new module which promises to increase accuracy while keeping the computational overhead low the main idea is not to share the spatial convolution weights over different time steps but allow some modulation based on pooled local and global frame descrip...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for multiobjective optimization the key idea is to learn the entire pareto front at once by training a hypernetwork that takes preference vector as an inputs and outputs network ...	the paper proposes a hypernet method for multiobjective optimization which trains a neural network that maps preference vector to the corresponding pareto solution the proposed idea is interesting and useful although the evaluation of the work is not overwhelming convincing the writing of the work can be further improv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is in the continuation of recent line of work that studies private algorithms when it has access to some public data they also achieve a dimension independent bound as in some of the previous work...	this paper proposes a new algorithm for private erm when given access to public data with a dimensionindependent risk guarantee if a the public and private datasets are of the same distribution b public dataset size exceeds the dimensionality or rather the squared gaussian width of an appropriate set and c the public ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of federated learning where different clientsentities share their datasets with other clients in order to obtain a model that performs best for the local loss functions stan...	the paper proposes a model of agent collaboration to improve outcomes for any participating agent in a setting where every agent does not always benefit from collaborating with all other agents the reviewers did find some of the theoretical results interesting however in its current revised form they still argued durin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a model for adaptive duration modification of an input signal the model is a graphical model with neural components by making some assumptions authors derived an upper bound for the like...	this paper introduces a deep neural network sequencetosequence framework for modifying the length of a speech sequence it employs a convolutional encoderdecoder architecture optimized under a bayesian formulation with variational inference the proposed framework is evaluated on a voice conversion task and three emoti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the problems of prediction with expert advice and online linear regression with bounded differentiable and strongly convex losses they analyzed variants of the squint algorithm in the e...	the paper introduces the valuable idea of exploiting strong convexity of losses in online learning together with variancebased regret bounds for contemporary algorithms like squint and metagrad to introduce negative terms in cumulative regret bounds and make the algorithms useful in many applications such as early stop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of assessing implicit generative models using kernelised stein discrepancy ksd the paper introduces a nonparametric np stein operator to allow implicit models to be used in k...	decision accept this paper introduces a nonparametric np stein operator to allow implicit models to be used in ksd so this enable the use of ksd for evaluating the performance of implicit models and the new test statistic shows better test power compared to mmd test reviewers commended that the paper writing is clear...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose paradis a parallel and distributed version of universally slimmable networks they use the fundamentals from this work plus a few additions to train models that can be switched between di...	this paper presents an approach for distilling a larger teacher model into a set of students that can run in parallel at lower cost the main strengths are that the approach appears conceptually sound and reasonably well executed the main weaknesses are that the differences relative to previous work is fairly slim and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main highlight of this paper is the application side no technicality is presenting in the current paper authors deal with a challenging scenario where several complexities need to be considered includi...	while the ac agrees that there are some shortcomings in the details of the presentation the ac does find the presentation to be acceptable and agrees with reviewer eeps that this is an interesting application therefore the paper can be accepted as an application paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors combine adversarial training with two methods that increase the entropy of the output distribution of neural networks label smoothing and entropy maximization the authors find that this combinat...	the reviews were a bit mixed with some concerns on the novelty and experimental evaluation while the authors efforts during rebuttable were appreciated the overall sentiment is that this work in its current form cannot be accepted to iclr yet please consider revising your work based on the excellent reviews some more c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors argue that training on distilled versions of existing classifiers improves fairness on unobserved demographics and build upon this objective the approach is interesting and of use to the fairnes...	overall the reviews are positive leaning towards accept the reviewers agree that the main idea is interesting and the paper is well written and structured also several issues raised are properly addressed and checked and i think that the remaining issues are also taken care of hence i recommend the acceptance of this p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper performs a comprehensive analysis on a subcategory of noisylabel classification techniques following that the paper proposed a new improved method to handle sample selectionbased noisylabel classi...	the manuscript discusses weaknesses in previous sample selection criteria in learning with noisy labels and proposes a new selection criterion by incorporating the uncertainty of losses together with theoretical justification to select samples the manuscript uses the lower bounds of the confidence intervals derived fro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new conditional variational autoencoder vae approach to learn a low dimensional embedding of neuropsychiatric disorders from restingstate functional connectivity data the proposed appr...	this paper proposes a novel variational autoencoder to utilize functional connectivity fc features from resting state fmri rsfmri scans in order to uncover latent nosological relationships between diverse yet related neuropsychiatric disorders the methodology and main technical contributions are clearly articulated and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work investigates the interpretability of multiagent rl and introduces a method for incorporating interpretable concepts from domain expert the concepts can be considered as hidden states of current ...	strenghts interpretability in multiagent reinforcement learning is an important challenge human intervention during the learning process is a promising concept the approach was evaluated in a real robot multiagent scenario weaknesses there are some concerns regarding the novelty of the claimed contributions des...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work aims to train models with noisy training labels 1 this work introduces robust temporal ensembling which is composed of ideas introduced in prior work noiserobust task loss generalized ...	reading the paper and the reviews themselves i found myself conflicted about this work multiple reviewers commented that this is a rather incremental piece of work given that its a rather straightforward combination of existing lossesmodels on the other hand there is admittedly value in 1 realizing that this combina...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an automatic approach for attacking classifiers by approximating a possible adaptive attack that can take place on a newlypublished defense the methodology mama applies meta machine lear...	this paper introduces a model agnostic attack to evaluate the robustness of machine learning models specifically focusing on adversarial training style defenses the attack uses a rnn optimizer and metalearning to achieve this goal the reviews are mixed the two more positive reviewers appreciated the technical ideas of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary to work with data that is not sampled on a grid this work represents the activations of a neural network using a gaussian process with rbf covariance convolutions can be applied in closed form but...	this is a fairly technical paper bridging deep learning with uncertainty propagation in computations ie probabilistic numerics it is well structured but it could benefit from further improvements in readability given that there are only very few researchers that are experts in all subdomains associated with this work g...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of finding a network configuration such that after applying a routing protocol the resulting forwarding plane satisfies the given specifications the proposed method involves e...	the reviewers found the approach proposed in the work to be novel and reviewers find the work to have promise the reviewers also felt that it would be best for authors to present a detailed analysis on the scalability limitations and we are confident that authors would do so in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new type of cbm called glancenets that addresses two limitations of existing models interpretability and concept leakage glancenets build on existing cbms by leveraging 1 conceptlevel ...	concept learning in the context of vaes and interpretability are two key aspects of great relevance to the workshop the reviewers were enthusiastic and the paper should instigate a useful discussion i am not convinced that disentanglement alone should be sufficient to achieve alignment as broadly intended by the paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors introduce a neural network framework modulating the excitation functions within the self and mutually exciting count processes i find that this paper has interesting ideas and it ...	this paper proposes a selfexciting temporal point process model with a nonstationary triggering kernel to model complex dependencies in temporal and spatiotemporal event data the kernel is represented by its finite rank decomposition and a set of neural basis functions feature functions the proposed model has superior ...
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 novel method of taskgan of image coupling by coupling gan and a taskspecific network which alleviates to avoid hallucination or mode collapse in general the paper is ad...	this work presents a reconstruction gan with an additional classification task in the objective loss function evaluations are carried out on medical and nonmedical datasets reviewers raise multiple concerns around the following novelty all reviewers inadequate comparison baselines all reviewers inadequate citatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the generalization properties of recurrent neural networks rnn and its variants for the sequence to sequence multiclass prediction problem the problem is important to understand in the th...	some expert reviewers have raised novelty issues that the authors have addressed in detail still these expert reviewers are not entirely convinced if this were a journal i would recommend a major revision or rejectandresubmit in order to allow the authors to anticipate the reviewers concerns in the body of the paper an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: different from an existing variational dropout method which used variational inference to explain dropout this paper proposes to interpret dropout from the map perspective more specifically the authors util...	the paper tried to introduce a new interpretation of dropout and come with improved algorithms however the reviewers were not convinced that the presented arguments were correctnovel and they found the paper difficult to follow the authors are encouraged to carefully revise their paper to address these concerns
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a family of nonparametric twosample independence and goodnessoffit tests based on incomplete kernelbased ustatistics for which it proves validity proposition 1 as well as guarantees on po...	the paper discusses fast computation methods for kernelbased statistical tests mmd hsic and ksd the paper uses incomplete u statistics in constructing the methods shows decent theoretical results including the rate analysis and confirms favorable numerical results the paper has significant theoretical contributions t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: they prove a new theory of soft interventions never mentioned in literature before afaik they have a reallife motivating example they have experiments parts of the paper are hard too understand what ha...	meta review summary three out of four reviewers are quite enthusiastic about the paper with clear accepts albeit at moderate confidence as the paper was generally considered quite challenging primarily because of the technical and conceptual novelty of the proposed approach one reviewer advocated reject but with low c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper can be considered as a direct application of dual learning he et al 2016 to the multilingual gnmt model the first step is to pretrain the gnmt model with parallel corpora x z and y z the second s...	this paper is essentially an application of dual learning to multilingual nmt the results are reasonable however reviewers noted that the methodological novelty is minimal and there are not a large number of new insights to be gained from the main experiments thus i am not recommending the paper for acceptance at thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a neural symbolic entangled framework for answering complex logical queries over knowledge graph the framework firstly represents entities and relations via a neural projection and a sym...	this paper proposes a neuralsymbolic approach enesy for answering folbased queries over kgs the main promise of the proposed approach lies in its ability to alleviate the problem of cascading error as it existed in previous approaches and also the incompleteness of kgs the experiments are performed on two datasets fb15...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies classifiers that collectively output many predictions based on a single input existing adversarial robustness certificates assume that an adversary can use different perturbed inputs to a...	this paper considers a new setting of robustness where multiple predictions are simultaneously made based on a single input different from existing robustness certificates which independently consider perturbation of each prediction the authors propose collective robustness certificate that computes the number of predi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide a longtime data created by using honeypots to detect anomalous traffic the characteristics of the data have been studied by using tsne and optimal transport the data is divided into trai...	four out of five reviewers recommend acceptance of the paper with a score of 7 these reviewers praise the quality and importance of the dataset moreover all reviewers acknowledge the quality of the writing the authors have constructively engaged into the discussion with the reviewers and have put a lot of effort into ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper shows that the variance of the gradient has an inverse dependence on the batch size in linear networks subject to the knowledge of the initial weights the main novelty of the paper is the computat...	this work analyses the impact of minibatch size on the variance of the gradients during sgd in the context of linear models it shows an inverse relationship between the variance of the gradient and the batch size for such models under certain assumptions reviewers generally agree that the work is theoretically sound ho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides three sign language datasets which by itself is already useful sign languages are largely underresourcedunderstudied the authors also provide indepth analysis of the extraction process d...	this paper presents a significant collection of unlabelled signing data 46k hours across 10 sign languages which have been preprocessed and converted to posekeypoints to remove identifiable information the paper also presents multiislr a multilingual dataset with labelalignment extracted from 11 other labelled datasets...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach to learn an invariant casual representation to improve generalization in both imitation and reinforcement learning the paper is well positioned for this workshop and provides...	this paper is relevant to the workshop and provides strong theoretical as well as experimental support for the proposed contributions verifying the validity of the extensive theoretical contributions in the appendix of the paper is clearly out of scope for the workshop review process for a workshop paper it is as revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a model to combine neural network and logic programming it proposes to use 3 primitive logic rules to model firstorder predicate calculus in the neural networks specifically relations wi...	pros the paper presents an interesting forward chaining model which makes use of metalevel expansions and reductions on predicate arguments in a neat way to reduce complexity as reviewer 3 points out there are a number of other papers from the neurosymbolic community that learn relations logic tensor networks is one...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an efficient zeroconfidence attack algorithm marginattack which uses the modified rosens algorithm to optimize the same objective as cw attack under a set of conditions the authors prove...	the paper proposes a new method for adversarial attacks marginattack which finds adversarial examples with small distortion and runs faster than the cw baseline but slower than other methods the authors provide theoretical guarantees and a broad set of experiments in the discussion a consistent concern has been that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: edit after author response i thank the authors for their detailed response and for taking into account many of my comments one issue that remains is the disconnect between toy and natural scenarios there i...	this paper presents a theoretical characterization of the impact of noise in causal and noncausal features on model generalization through the lens of counterfactual data augmentations with toy data and models and demonstrates that the predictions of this characterization bear out in several experiments on language cou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds on a recent inverserl method airl the authors argue that the rewards learned by airl are potentially inefficient since they depend on the ratio of stateaction visitation distributions of t...	the paper was evaluated by 3 knowledgeable reviewers all reviewers raised concerns about the motivation of the contribution of the paper it is unclear why the use of an additional discriminator should reduce the variance of the log density ratio estimate also the derivations were found to be not convincing or intuitive...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a framework for weak supervision which works for both discrete and continuous labels the proposed framework assumes the sources are coming from an exponential family distribution and gene...	the paper propose a universal technique that enables weak supervision over any label type while still offering desirable properties including practical flexibility computational efficiency and theoretical guarantees over the course of the rebuttal the authors have made a substantial overhaul on writing and experimenta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a bottomup multiperson pose estimation method based on transformer model in this method a new loss is used to encourage a selfattention map to put its attention on the region of an insta...	this paper proposes a bottomup multiperson pose estimation method using a transformer model there is consensus among the reviewers that this paper is not ready for acceptancepublication although some reviewers find the proposed idea interesting some find it lacking novelty though all the reviewers agree that the quanti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper takes a step back to examine some of the latest marl methods in value function factorization by employing a classical framework fqi with some assumptions the authors provide their analysis of the ...	this paper begins to formalize a connection between value decomposition and difference rewards whilst we are in agreement with the authors that papers do not need to make new algorithmic contribution and purely theoretical papers that deepen our understanding of established methods can be significant contributions all ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors give a method to perform a full quantum problem of classifying unknown mixed quantum states this is an important topic but the paper is ok and i think the test case is a bit lacking the theory is ...	the paper needs work to improve clarity and strengthen the technical message also the authors broke the policy of anonymous submission which disqualifies the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new autoencoding algorithm for the unsupervised generative modeling which they call sliced wasserstein autoencoders swae swae minimizes a reconstruction cost measured with respect to t...	the paper proposed to add the slicedwasserstein distance between the distribution of the encoded training samples and a samplable prior distribution to the auto encoder ae loss resulting in a model named slicedwasserstein ae the difference compared to the wasserstein ae wae lies in using the usage of the slicedwasserst...
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 single qubit neural networks by using the reuploading qnn formalism the contributions of the paper are the proofs that a single qubit neural network simply a single qub...	this submission is borderline reviewers generally agreed that its theoretical contribution is sound and nontrivial but at the same time pointed to a major limitation which is that the theory applies only to single qubit qnns thus disregards the aspect of entanglement which is one of the most important factors in quant...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies neural architecture search over autoregressive transformer models and proposes a trainingfree approach to search the pareto frontier of multiple objectives latency memory and perplexity th...	building on the novel observation that there is a strong correlation between model quality and number of parameters in the decoder of autoregressive transformers this work proposes a trainingfree nas algorithm for this class of models the main concerns raised by reviewers are related to the key observation the paper i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper converts a given nn to a weighted directed graph and consider the flag complex on the top of it and use that object to compute the pd of the input nn two neural networks are then considered to be ...	summary compare neural networks and tasks using tda particularly persistence diagrams strengths some reviewers found this a fresh perspective distance calculation using tda can offer advantages and a theoretical basis weaknesses insufficient motivation and experimental evidence for utility of the proposed app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a discrete structured latent variable model for visual question answering that involves compositional generalization and reasoning in comparison to the existing approach this paper well ...	this paper proposes a latent variable approach to the neural module networks of andreas et al whereby the program determining the structure of a module network is a structured discrete latent variable the authors explore inference mechanisms over such programs and evaluate them on shapes this paper may seem acceptable...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new framework called diametr for meta rl aiming at improving the ability of meta policy in adapting to varying levels of task distribution shift this is achieved by leveraging the dist...	the paper introduces a new framework for meta rl and validates it on navigation and goal reaching tasks the authors addressed several of reviewers concerns in the rebuttal and significantly improved the quality of the paper i think the paper is novel and interesting for the community it would be interesting to see the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the issue of learning and refutation in the setting of noninteractive local differential privacy it provides a characterization of the sample complexity of agnostic pac learning for nonin...	this paper provides a characterization of the sample complexity of agnostic learning under local differential privacy ldp and show that it is equivalent to refutation the mathematical insights from the paper might be valuable in future research it is a clean contribution with positive feedback from all reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents discrete objectfactorized representation planning dorp which learns a discrete representation from videos with an enforced temporal consistency this representation can then be planned ove...	this paper explores a foundational problem in ai around learning abstractions that allow for easier planning the work proposes a specific procedure for learning temporally abstract discrete representations in which it becomes tractable to perform graphbased search evaluation is performed on two 2d tasks where a goal ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes ns3 neurosymbolic semantic code search ns3 supplements the query sentence with a layout of its semantic structure which is then used to break down the final reasoning decision into a ser...	the paper studies the problem of retrieving code snippets given textual queries ns3 neurosymbolic semantic code search the work is motivated by language models limitations on encoding longer and not providing a faithful explanation of their reasoning on compositional queries ns3 supplements the query sentence with a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the anomaly detection of time series data the main idea is to exploit both the sequential relation between data and the normality of the data itself the model is learned with two stages fi...	the work proposes a simple neural network framework for detecting anomalies on sequential data the manuscript is quite rough the paper needs significant editing the authors should take the reviewers recommendations to heart and make deeper changes to the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a neural network module for achieving posture shape and identity appearance disentangling for image synthesis the proposed module combines the vector quantization layer with the spatiall...	this paper offers a disentangled pose and identity representation for image to image translation the reviewers are borderline but the ac finds the discussion by reviewer sutz compelling and agrees that the authors missed key references in the submitted manuscript in their rebuttal the authors acknowledged the referen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper propose to study the lipschitz constant of convolutional layers and to give an easy to compute and differentiable upper bound the upper bound is composed of 4 different bounds based on ...	the authors provide four rigorous upper bounds on the operator norm of the linear transformation associated with a 2d convolutional layer of a neural network one of these is a heuristic proposed in earlier work by miyato et al and widely used so among other things their result provides theoretical context for that met...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel higherorder denoising diffusion solver called genie which is applicable particularly for denoising diffusion models with the variational preserving forward noising process the gen...	there is overall consensus that the paper has significant contributions good experimental validation and a clear presentation the authors have addressed the majority of concerns raised by the reviewers during the authorreviewer discussions leading to several scores being raised i would like to thank the authors and rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors look at the problem of group testing where we are interested to learn about a hidden subset k of size k of a universe n of size n k the authors assume access to subset queries that...	this is quite a borderline case three of the reviewers are in favor of acceptance with three different degrees borderlineweakclear while one reviewer maintains clear rejection however the content of that review and the remarks during the discussion period are perhaps better aligned with a score of 4 borderline rejec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an iterative method for discarding outlying training data first learn a model on the entire training dataset second identify the training examples that have high loss under the learned m...	this paper addresses the problem of learning with outliers which many reviewers agree is an important direction however reviewers point to issues with the experiments missing baselines ablations etc and are concerned that the assumptions in the theoretical analysis are too strong these were potentially addressed in a r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: apologies for this belated review summary the authors propose a ganbased approach to learning disentangled representations that combines elements infogan with recent informationbottleneck ib perspectives...	strengths this paper introduces a clever construction to build a more principled disentanglement objective for gans than the infogan the paper is relatively clearly written this method provides the possibility of combining the merits of gans with the useful informationtheoretic quantities that can be used to regular...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses a neural fieldbased approach to estimate the shape bdrf parameters and perimage camera pose and illumination from the inthewild image collections it is the first method that is able to estim...	this paper had notable consistent reviews all reviews were thoughtful and there was a consensus that this paper tackles an important problem in a way that has not been explored while there were some weaknesses highlighted in the review process discussion and the author rebuttal ameliorated all major concerns therefo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: page 2 figure 1 very clear example that provides the reader with the motivation and the notion of hierarchical tasks there may be a limitation given the strict ordering of tasks in a plan for example how d...	this work investigates how eye gaze observations can improve hierarchical robotic task guidance reviewers have positively commented on the contributions of this work as well as the detailed explanations of the motivation scope and limitations reviews have also listed several additional references and raised important q...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework based on principle components analysis pca to speed up the missing data imputation it divides the feature sets into two partitions the fully observed one and the one that co...	this paper proposes a framework based on principle components analysis pca to speed up the missing data imputation it divides the feature sets into two partitions the fully observed one and the one that contains missing values the proposed method applies pca to the fully observed partition to do dimensionality reducti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper casts the problem of learning from adversarial examples to make models resistant to adversarial perturbations to a domain adaptation problem the proposed method adversarial training with domain ad...	the paper presents an interesting idea for increasing the robustness of adversarial defenses by combining with existing domain adaptation approaches all reviewers agree that the paper is well written and clearly articulates the approach and contribution the main areas of weakness is that the experiments focus on small...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work proposed a method for training robust policies in rl by optimizing convex combinations of different policies and showed that it achieves good performance against parameter variations in various muj...	the paper tackles the problem of generalizing to a new environment by learning a small set up anchor policies even just 2 for the final approach which span a subspace that can be searched efficiently in a new environment the discussion and additional experiments managed to convince most reviewers that the method indeed...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed mechanism disentangles the search and retrieval from the transformers architecture where the retriever is no longer tied to a specific retriever that is in the same head instead there are mult...	this paper identifies a limitation with current attention in transformers where they scoring with querykey pairs is strongly tied to retrieving the value and proposes a more flexible configuration that subsumes the previous setup but provides more flexibility the authors shows this leads to improvements in various sett...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: theoretical derivation of convergence rates experimental validation of the results all proofs are relegated to the appendix the papers topic is not in my area of expertise and as such it is possible that...	meta review the authors analyze the convergence rate of linear coupling for optimizing a composite convex loss consisting of a smooth and nonsmooth component such as l1regularized learning in the setting of an inexactly optimized proximal update they develop a convergence rate as a function of a sequence of proximal s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors address the problem of active learning in the context of deep learning instead of querying new examples based on the decision boundary which in nonlinear models can be tricky or even illdefined ...	this paper proposes a novel strategy for deep active learning based on the training dynamics of the underlying deep model defined as the derivative of the loss of the ultrawide ntk all reviewers enjoy the clean story and motivation of the proposed acquisitionobjective function and appreciate the authors effort in provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose the use of adversarial learning methods to control datasampling during the optimization procedure of a neural network solver towards samples that give a higher error to avoid mode collap...	this paper represents a novel contribution to the theory of learning solutions to differential equations with deep neural networks using a novel minmax game theoretic objective that is shown to offer benefits to uniform sampling approaches the work has been selected as a poster for the workshop the authors may consider...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript presents a method to prune deep neural networks while training the main idea is to use some regularization to force some parameters to have small values which will then be subject to pruning...	this paper propose to obtain high pruning ratio by adding constraints to obtain small weights reviewers have a consensus on rejection due to not convincing experiments and lack of novelty
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study the problem of improving the worstgroup accuracy in the overparametrized setting they offer theoretical and empirical evidence that reweighting does not affect the final solution in this s...	this paper studies the effect of importance weighting in three model classes linear models linearized networks and wide fully connected networks and show that under certain assumptions gradient descent for training an overparameterized model converges to the same erm interpolator regardless of the reweighting scheme th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a sampleefficient qd environment generation algorithm that maintains a deep surrogate model for predicting agent behaviors in new environments results in two benchmark domains show that ...	the authors describe a method of scaling the benefits of quality diversity qd optimization for automatic generation of rl environments by replacing costly agent evaluation with a learnt surrogate model they then demonstrate that this method improves agent performance in two settings a maze environment using rl and a ma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: author propose a new neuroscienceinspired selfsupervised learning process through adopting processes of the brain for developing a new framework specifically the use the concept of efference copy to derive ...	this paper introduces a neuroscienceinspired approach for selfsupervised learning and makes the connections between ssl and the idea of an efference copy ec in neuroscience the authors provided a number of experiments showing improvements over simclr however multiple reviewers raised the concern that there are now ma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents some novel contributions regarding recurrent neural networks building on the work of chang et al 2019 the authors provide a global convergence result for the hidden representation of a ...	solid work on extending antisymmetricrnn and expanding its expressivity while controlling the global stability of the recurrent dynamics it contributes to the growing interest in continuoustime rnn formulations that can deal with exploding gradient problem and worthy of iclr poster presentation three reviewers were pos...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to select a subset of local minima of loss function landscape and combine the minima using a second metanetwork which learns to select a set of weights for each input data point ...	all reviewers agree that the paper is below the acceptance threshold and the authors did not respond to the reviews in summary this is a clear reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the risk measure maintains a number of properties that are theoretical while also showing improved performance relative to other algorithms the paper is well written as far as i understand the epistemic...	meta review the paper proposes a novel quantitative measure for risk in rl the measure is sensitive to aleatoric and epistemic risk and avoids some theoretical issues with previously proposed additive measures of the two types of risk the paper also proposes a novel risk sensitive rl algorithm based on ensemble bootstr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new environment 2vs2 soccer to study emergence of multiagent coordinated team behaviors learning relies on populationbased training of agents shaped reward mixtures and approach of na...	the paper studies populationbased training for marl with coplay in mujoco continuous control soccer it shows that long term cooperative behaviors can emerge from simple rewards shaped but not towards cooperation the paper is overall well written and includes a thorough studyablation the weaknesses are the lack of stro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method for learning an optimal pushforward for the quadratic cost from a distribution to another distribution based on samples of both distributions the optimal transport problem is...	the reviewers have different views on the papers but agreed that the paper can be accepted however they suggested some points of improvements including the writing clarity and style and experiments showing strong improvements compared to wgan
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a largescale metadataset that consists of 30 datasets from 10 domains extensive competition and challenges have been organized on the benchmark currently it focuses on fewshot classificat...	the reviewers were unanimous in recommending acceptance for this paper multiple reviewers commented on the datasetcompetition being well organized and the experimental baselines provided in the paper were generally appreciated there were some suggestions of expanding the baselines in the paper or further diversifying t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript shows the statistical error of the erm for nonparametric regression using the family of a resnettype of cnns specifically two results are showed first the authors show that any blocksparse f...	the paper presents an interesting treatment of transforming a blocksparse fully connected neural networks to a resnettype convolutional network equipped with recent development on approximations of function classes barron holder via blocksparse fully connected networks in the optimal rates this enables us to show the e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper works in a computational model where various architectures of energybasedmodels are viewed as computational models for accepting languages ebms assign a weight to each string the sum of weights is...	this is a deep theoretical paper with results that i consider very interesting i have not had time to check them myself but i have background in these theoretical matters and the results seem reasonable to me the hardness of even checking the quality of a solution is well known for partition functions as well as hardn...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes global selfattention networks for image recognition the proposed gsa module is consists of two parallel layers a content attention layer and a positional attention layer experim...	paper was reviewed by four expert reviewers unfortunately all reviewers uniformly felt that paper fell marginally bellow bar and argue for rejection a number of concerns have been identified by the reviewers in the review phase those included 1 lack of novelty reviewer3 reviewer4 2 lack of various ablations reviewer 2...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to improve upon label smoothing ls by adapting the noise distribution used in ls from uniform to a distribution that better represents the correlationsimilarity between the candidate spa...	the paper proposes loras lowrank adaptive label smoothing for training with soft targets with the goal of improving performance and calibration for neural networks the authors derive pacbayesian generalization bounds for label smoothing and show that the generalization error depends on choice of the noise smoothing dis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents the use of a statealiased mdp samdp model to generate a policy that takes into account the problem of agents statealiasing via the form of input classification likelihood matrix the notio...	thanks very much for submitting your paper summary the paper proposes a formal model of an mdp that account for humans erroneous executions and delays strengths clear motivation and relevant research topic indepth evaluation with both benchmark and user study limitation little information about similar studies in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a fx fixed point framework to calculate the reduced bit numbers which can i use float numbers with the reduced bits to represent each nn layers weight values wl activation values al grad...	the paper investigates a detailed analysis of reduced precision training for a feedforward network that accounts for both the forward and backward passes in detail it is shown that precision can be greatly reduced throughout the network computations while largely preserving training quality the analysis is thorough a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an efficient finetuning method for pretrained language models the main idea is to fix the models weights calculate the layerwise activation project the activation to lower dimension and...	the paper contributes a novel training methodology based on a ladder network for a scenario of finetuning under limited memory constraints two out of three reviewers recommended rejecting the paper reviewer l9hl noted that the paper is related to distillation or network prunning and is not discussed sufficiently the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to provide a systematic study on the problem of uncertainty quantification for spatialtemporal forecasting the study reveals several interesting conclusions regarding different types of meth...	this paper investigates methods for producing and evaluating interval forecasts rather than point forecasts the authors focus on spatiotemporal forecasts whose interval accuracy is measured with the mean interval score pros uncertainty quantification is an important topic that is often ignored in the ml literature wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new neuralbandit algorithm with shallow exploration and provides a regret bound for the proposed method the existing approaches have introduced deep neural networks based bandit algorit...	this paper tackles the neural contextual bandit problem for which existing approaches consists rely on bandit algorithms based on deep neural networks to learn reward functions in these existing strategies exploration takes place over the entire network parameter space which can be inefficient for the largesize network...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the problem of 3d object detection in point cloud for indoor scenes scannet and sun rgbd the idea is based on votingbased methods each point predicts its center clustering classificati...	4 expert reviewers suggest acceptance based mostly on a strong evaluation section that shows good improvements over previous methods novelty of the method is deemed sufficient and well ablated overall seems like a good quality paper although a tiny bit on the incremental side but enough for recommending acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the bilevel optimization with unique inner solution proposed the algorithm that utilizes the dynamic barrier gradient methods theoretically captures the convergence rate of the proposed al...	there is general consensus among the reviewers that this paper is a valuable contribution to the bilevel optimization literature the value function formulation is still relatively unexplored in bilevel optimization althought not completely new having a new paper developing this direction will be a nice addition to th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper attacks the standard but hard problem of starting with a singleview 2d face shot and creating a 3d face model that can take expression and pose as inputs their approach is to meld pigan with 3d mo...	paper attacks a hard problem and brings together stateoftheart ideas to demonstrate substantial wins many good points were raised by the reviewers and we ask the authors to carefully read through the feedback and address what they can for the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider angle propagation in randomlyinitialized convolutional neural network layers given two input images that have cosine angle rho what is the cosine angle of their feature embeddings whe...	this paper focuses on understanding how the angle between two inputs change as they are propagated in a randomlyinitialized convolutional neural network layers they demonstrate very different behavior in different settings and provide rigorous measure concentration results the reviewers thought the paper is well writte...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the collapsing problem of contrastive learning it attempts to attribute the collapsing phenomena to strong augmentation and implicit regularization using simple linear network models...	the theory and results presented in this paper provide a new method to avoid collapse in contrastive learning all but one reviewer recommend acceptance the lone negative reviewer is concerned with the limited experiments but the other reviewers and the ac find the experimentation convincing enough to warrant acceptan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: na na na na na na docsepin this work the authors present a framework to ensure the systematic use of neurogenesis neurogenesis refers to the process of integrating new neurons in the neural network during t...	there is a lot of enthusiasm for this paper but also one dissenting voice the discussion was productive and the paper improved as a result reviewer 4ixa further suggests an experiment that would validate the results and the authors should consider it however even without it the paper makes a worthwhile contribution to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to represent point cloud data as samples drawn from statistical distribution and project the data to an underlying statistical manifold on which various analyses can be conducted in a ma...	this paper proposes to interpret point cloud data in euclidean space as samples from some underlying probability distribution thus a set of point cloud data can be given the structure of a statistical manifold with a riemannian metric structure namely the fisher information metric applications to point cloud autoencode...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for robustifying a policy obtained via behavior cloning by collecting additional experiences in the environment and minimizing an optimaltransportbased otbased trajectory matchin...	this paper proposes a new imitation learning algorithm regularized optimal transport which adaptively combines trajectorymatching rewards and behavior cloning the paper demonstrates much faster learning with fewer demonstrations in both simulation and realworld robot learning tasks all reviewers agree that the paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a framework for video action anticipation where the task is to observe input frames and predict the action label after an anticipation period not observed the proposed architecture build...	this paper presents work on action anticipation the reviewers appreciated the message passing based method however concerns were raised regarding novelty effectiveness presentation empirical results and magnitude of impact for iclr the reviewers considered the authors response in their subsequent discussions but fel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents tre a transformer based architecture for relation extraction evaluating on two datasets tacred and a commonly used semeval dataset overall the paper seems to have made reasonable choice...	current sota on tacred uses precomputed syntactic and semantic features this paper proposes to replace this pipeline with a pretrained transformer with selfattention this pretrained model is further finetuned to do the tacred relation extraction the reviewers like the paper and i am happy with the overall discussion i ...

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