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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper conducts some experiments on the ood generalization classification tasks the authors test some sample reweighting methods on four benchmarks and find that simple data balancing baselines can achi...	while it lacks theorymethods contributions the paper provides a valuable and insightful empirical study of outofdistribution generalization at the same time there are still remaining questions that arise from the authors study that require exploration and explanation which the reviewers have dutifully brought up the au...
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 point process model that uses wavelet reconstruction to capture complicated dependencies between events they motivate this approach using experiments in the medical domai...	there was discussion of this paper and the accept reviewer was not willing to argue for acceptance of this paper while the reject reviewers specifically pointing to the clarity of the work argued for rejection there appear to be many good ideas related to wavelets and hopefully the authors can work on polishing the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summarize what the paper claims to contribute the paper introduces a multisource informationregularized adaptation network mian mian consists of three parts information regularization source classification ...	although all reviewers agree that the work is interesting and has potential several issues in the presentation and the experimental section especially regarding the ablation need to be worked on before granting acceptance to the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes some techniques to improve the accuracy of binary networks without adding much computational overhead to improve model capacity the author proposes mixtureofexperts convolution with a wi...	summary the paper advances the state of the art in training binary neural networks coming out to first place on imagenet with a controlled computation budget while any paper making a new record on imagenet would be a serious candidate for acceptance it is positive that this one achieves the goal by putting at work th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper revisits previously known definitions of adversarial accuracy and its complement adversarial risk which captures the accuracy and risk of learning models under adversarial perturbations o...	the paper considers new notions of adversarial accuracy and risk which are called genuine with an aim to fix issues with the existing definitions in the literature a number of issues in the paper including lack of motivation and intuition and poor formalism were identified by the reviewers the paper also fails to cite ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces an inrbased design that utilizes an mlp network to encode spatiotemporal dynamics of video the authors also propose an efficient discriminator to detect unnatural motions the design is ...	this work tackles video generation using implicit representations and demonstrates that using these representations enables improvements to longterm coherence of the generated videos reviewers praised the writing the thorough experimental evaluation and the strong quantitative results some concerns were raised about a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates dataset inference for encoders dataset inference is a defense against model stealing which allows the defender to identify whether a suspected stolen model has private knowledge from...	this paper joins an interesting area that tackles the use of models in the real world that are accessible publicly via apis in these cases there may be adversaries that attempt to steal the model this can be done by accessing information about the model from particular queries one of the approaches used to tackle such...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a method is proposed which learns to reason on physical interactions of different objects solids like cuboids tetrahedrons etc traditionally in related work the goal is to predictforecast future observation...	1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the problem is interesting and challenging the proposed approach is novel and performs well 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your expert opinion be sure to indic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to propose a novel approach for openvocabulary or zeroshot object detection by leveraging models pretrained on internetscale data which might include many of the desired openvocabulary categ...	the aim of this work is to produce an openvocabulary detector the approach is via knowledge distillation from existing largescale vl models and the evaluation is based on novel classes with lvis the reviewers were generally happy with the work approach and results but there were substantial points of clarification du...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the idea of applying sam into phase recognition is interesting and it helps to classify the contrast phase of ct more efficiently the experience can prove the effectiveness of adopting sam in the ct contra...	while the writing of the paper requires improvement and the method is unfortunately not fully reproducible both reviewers found interest in this simple yet robust and interpretable approach for contrast phase classification i therefore recommend acceptance subject to improving the minor comments of both reviewers for a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of sequential learning where data access for the previous tasks is completely prohibited authors propose a conceptually simple framework to learn structures it is the selecti...	the paper presents a promising approach for continual learning with no access to data from the previous tasks for learning the current task the authors propose to find an optimal structure of the neural network model first select either to reuse adapt previously learned layers or to train new layers and then to learn i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes grus from a dynamical systems perspective ie phase diagrams fixed points and bifurcations the abstract and intro are well written and motivate the need for more theoretical framework to ...	the paper analyses grus using dynamic systems theory the paper is wellwritten and the theory seems to be solid but there is agreement amongst the reviewers that the application of the method might not scale well beyond rather simple 1 or 2d grus ie with one or two grus this limitation which is an increasingly seriou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces pop3d an onpolicy policy gradient algorithm that is a variant of trpo and ppo while trpo uses a particular penalty function to keep the policy from being updated too aggressively pop3d...	while the paper contains some interesting ideas the reviewers felt that overall the paper is not theoretical well supported and likewise the experiments are not fully convincing even after the rebuttal these concerns still persist
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new sampling procedure which works by dividing the dataset into homogeneous subsets and sampling each subset periodically with a frequency proportional to the rarest label in the subset...	this submission has been withdrawn the reviews are of good quality the authors should consider writing two separate papers one about the problem and solution from an ml perspective and the other about the application to radiology papers that provide a new method in the context of a single application domain run the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a hiearchical rl framework augmented with linear temporal logic lowlevel policies are trained to reach a set of subgoals with penalty on violating safety constraints allowing the ...	this was a borderline paper with a split recommendation from the reviewers the authors took great care to answer the reviewer questions in detail and the clarity and precision of the technical exposition was strengthened however substantial technical content was added to the paper during the rebuttal process which th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper constructs a classifier of whether or not an image is offensive this is operationalized by finding a dataset from the psychology community of a few thousand images and ordinal judgements of morali...	the authors set out on an important question of whether abstract and culturally specific concepts like offensiveness can be detected in images the novelty of this work comes in part from tackling this question and attempting to create a technology which can operationalize it however despite the authors insistence that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method called blood for the problem of domain generalization the proposed procedure has two broad steps i identify groups with different biases ii minimize risk on each of these gro...	the paper studies the problem of ood classification the test data and training data distribution can have different spurious featureclass dependencies the reviewers have stated that the proposed procedure is a natural choice with simple implementation another positive point is that it could easily be incorporated in m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies learning zerosum markov games with kernel function approximation specifically they study kernel mixture markov games which extend the linear mixture mdps to the kernelized setting they pro...	this paper considers the problem of online reinforcement learning in twoplayer zerosum markov games they consider a class of markov games called kernel mixture markov games which extend the linear mixture mdp setting considered in prior work to the rkhs setting the main result is to propose and algorithm called kernelc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: minimax optimization is a central problem in machine learning the gradient descent ascent method is the most commonly used algorithm to solve this problem this paper views the gradient descent ascent method...	this paper proposes to use anderson acceleration on minmax problems provides some theoretical convergence rates and presents numerical results on toy bilinear problems and gans after the discussion the reviewers agreed that this paper makes a nice contribution to iclr some concerns were originally expressed in terms o...
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 new quantity the nonlinearity coefficient and argue that its value at initialization is a useful predictor of test time performance for neural networks the authors cond...	this paper proposes the nonlinearity coefficient nlc a metric which aims to predicts testtime performance of neural networks at initialization the idea is interesting and novel and has clear practical implications reviewers unanimously agreed that the direction is a worthwhile one to pursue however several reviewers al...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i liked the idea of graphlog it seems like an interesting and potentially very useful dataset the results seemed little to do with the dataset apart from being enabled by the dataset but were comparing some...	the reviewers point out several important issues to be addressed including comparing to other methods that can address the combinatorial generalization problems studied one reviewer points out the crucial difference from compositional generalization studied before addressing the gap between the proposed dataset simple ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of paper this paper proposes a gan training method that involves keeping a table of historical losses for the generator and discriminator across training iterations and calculating the loss using a...	this paper uses the double oracle method from game theory and applies it to gans this idea is interesting and double oracle actually seems like a good fit to train gans this could lead to interesting results in the future reviewers disagree on the clarity of the paper probably because the game theory vocabulary is no...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper enhances transferability of vision transformers vit by introducing two strategies specific to the architecture of vit models ie selfensemble and token refinement specifically selfensemble finds...	in this paper the authors enhance the adversarial transferability of vision transformers by introducing two novel strategies specific to the architecture of vit models selfensemble and token refinement method comprehensive experiments on various models including cnns and vits variants and tasks classification detection...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides two upper bounds for two notions of generalization errors this first is the gap between the population risk in the target domain and the population risk in the source domain the second i...	the reviewers agreed that the papers novelty is limited and lacks proper justification the extensive authors discussion shows that they could improve the manuscript but the number of modifications in the revised version would require another round of reviews therefore i encourage the authors to submit an improved vers...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a nontrivial data processing pipeline a large data set and a system based on ctc and fsts for automatic lipreading from videos the review of the previous work is comprehensive the author...	this paper describes the development of a largescale continuous visual speech recognition lipreading system including an audiovisual processing pipeline that is used to extract stabilized videos of lips and corresponding phone sequences from youtube videos a deep network architecture trained with ctc loss that maps vid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the unfaithfulness problem in abstractive summarization with two proposed techniques 1 using a questionanswering model during training where a multitask encoder encodes either the source...	all reviewers agree that the method is interesting the experiment results are thorough and significant multiple reviewers mentioned the paper would have been stronger by demonstrating performance on a dataset in another domain ie not newswire but still gave high scores given the consensus among reviewers this paper sho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper revisits the problem of neural networks systematic generalization ability from the perspective of meaningful learning or more specifically semantic linking based on this view they propose two dat...	this paper attempts to rationalize data augmentation techniques for compositional generalization by evoking the principle of meaningful learning which posits that learning new concepts builds on previously learned concepts which learners already understand so for compositional generalization this means that a model exp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: given that most popular vision datasets are easy for humans this paper proposes a method to collect ambiguous data by extracting images from videos using this method the authors collect a sizeable dataset a...	overview accept poster the reviews for ambiguous images with human judgments for robust visual event classification were originally somewhat mixed but converged to mostly positive reviews of the revised text clarifications many of the originally noted issues had more to do with the clarity of presentation than issues...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: manuscript summary this paper constructs a disentanglement problem from a temporally causal view where data are observed in sequences and where actions cause those observations to change as the sequence p...	the initial round of reviews showed a consensus among the reviewers that the presentation of the paper was poor the novelty was unclear claims were not properly justified and the experimental evaluation and discussion were quite insufficient the authors provided a rebuttal and an updated version of the paper although t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: nb i reviewed a previous version of this paper i was in favour of its acceptance in my opinion this version is far more clear and addresses the most salient concerns of the reviewers including me ill keep t...	the paper gives a method for generating contrastive explanations in terms of userspecified concepts for an agent in a sequential decision making setting the reviewers found the paper to be a strong contribution to explainable ai and rl there were some concerns about the writing but the revisions have addressed most o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the introduction of fritzjohn conditions is nice the paper is well organized and provides some necessary analysis there are sufficient experiments to support their method i think the current version lack...	meta review the reviewers reach a consensus on the acceptance the authors are encouraged to take all the comments into consideration and further improve the paper in the camera ready
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a weightsharing triplebranch transformer framework or cdtrans for unsupervised domain adaptation a twoway centeraware labeling method is proposed to provide better pseudolabels sota perf...	this paper makes use of crossattention transformers to extract invariant features for unsupervised domain adaptation combined with pseudolabel approaches the proposed method achieves stateoftheart performance possibly because the transformer features are more robust to the noise in addition a twoway centreaware labelin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for converting recordings of a specific musical instrument to another the proposed approach is apply cyclegan which was developed for image style transfer to transfer spectrogram...	strengths this paper is thorough and well written exploring the timbre transfer problem in a novel way there is a video accompanying the work and some reviewers assessed the quality of the results as being good relative to other approaches two of the reviewers were quite positive about the work weaknesses reviewer 2 t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposed a new text gan framework by combining nonautoregressive text generator based on transformer straightthrough gradient approximation and various regularization techniques such as g...	this paper proposes gantraining of a nonautoregressive generator for text to circumvent the usual problems with nondifferentiability of text gans the authors turn to gumbelsoftmax parameterisation and straightthrough estimation there are a number of aspects to this submission and they are not always clearly positione...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors propose a backdoor attack against continuous prompts in the scenario of the fewshot classification badprompt is designed as a lightweight and taskadaptive fewshot backdoor attack ag...	this paper conducts a study on the vulnerability of the continuous prompt learning algorithm to backdoor attacks the authors have made a few interesting observations such as that the fewshot scenario poses challenge to backdoor attacks the authors then propose badprompt for backdoor attacking continuous prompts overall...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper a new dataset called abgcoqa is presented the aim of this dataset is to present a resource for dealing with ambiguity in conversational question answering the motivation for such a resource i...	this paper presents a dataset for clarifying ambiguity in conversational questions based on the coqa dataset by hiding conversation turns and filtering based on qa performance a set of more ambiguous questions can be preidentified the analysis discusses different clarification strategies and clarification subtasks pres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the unsupervised dimension reduction problem that is given a set of points in rn find a low dimensional affine subspace that approximate the support of the distribution that generated th...	overall there were significant concerns about the motivation and experiments in this paper and these were thought not to merit acceptance on their own because of this the reviewers started discussing the theory to see if that would justify acceptance the reviewers were not able to find a clear advantage over existing a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper extends the contrastive languageimage pretraining clip model with a knowledgebased pretraining framework the framework introduces knowledgebased objectives in the pretraining process and utilizes ...	authors have improved their paper in such a way that multiple reviewers raised their original score with varying degrees of excitement the reviewers all agree that this paper should be accepted strengths interesting framework for multimodal pretraining integrating language vision and knowledge graphs strong empirica...
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 learning diverse policies that can potentially transfer better to new environments the proposed method aims to find simulation configurations that lead to diverse behavi...	the paper proposes an approach to learn policies that can effectively transfer to new environments the perspective on this problem from the perspective of streaming submodular optimization is nice the paper introduces new ideas that are likely of interest to the iclr community unfortunately there are significant concer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 this paper presents the first largescale benchmark for romanian language understanding a couple of baselines eg mbert xlr are tested 2 in addition to romanian language tasks it also includes tasks that i...	this paper presents a largescale benchmark romanian language with a website all reviewers make positive comments and believe that it would be a good contribution useful for broadening multilingual language studies and the evaluation of pretrained language models so i recommend it is accepted as mentioned by one reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present a method for training slotattention based models using implicit differentiation by leveraging the interpretation of the slotattention mechanism as a fixedpoint operation they dem...	both reviewers agree that this paper proposes a method that is simple and novel its theoretically grounded and fits the theme of the workshop thus this paper is given an oral presentation at the workshop congratulations the authors are encouraged to take the points raised by reviewers into account when preparing the c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary mitigate inherent label noise this paper studies the effect of applying sgd noise on mitigating the inherent label bias which is common in realworld datasets it introduces stochastic label noise sln...	the paper studies the effect of explicitly introducing stochastic label noise into sgd updates showing both theoretically and empirically that this can improve model performance on datasets with inherent label noise the intuition is that this helps the model escape sharp local minima where predictions may be overconfid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a transformerbased model for medical image segmentation which adopts the pyramid structure and adversarial training the proposed method is validated on three benchmark datasets and obtai...	the paper proposes a generative adversarial approach to 2d medical image segmentation the problem is a standard one for mri and improvements in this direction can have realworld impact the reviewers were on the whole positive in their opinions of the paper they found the design to be wellmotivated and the paper to be w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims to improve aaes with the intervention loss liang et al 2020 and svgd by constructing bridge distributions and demonstrates some empirical results pros the topic is interesting cons the tec...	this paper aims at improving aaes with an intervention loss while the topic is important the reviewers agree that the paper has poor clarity the related work is not adequately put into perspective there are concerns with technical correctness experimental evidence is lacking as the authors have not addressed any ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggest the ntimes coverage problem a natural generalization of setcover where items need to be covered n1 times by the sets we choose and motivates it with an application for the design of covid...	the paper introduces the maximum ntimes coverage a new nphard and nonsubmodular optimization problem it is shown that the problem can naturally arise in mlbased vaccine design and two heuristics are given to solve the problem the results are used to produce a panstrain covid vaccine the reviewers and i think that thi...
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 point tracking dataset with 1189 real videos three baseline methods are designed to evaluate the performance 1 the research field of video tap is understudied this paper ...	tapvid presents a benchmark that will be highly useful for tracking research for tracking arbitrary physical points on surfaces over long video clips the reviews are all positive with one reviewer raising ethical aspects in preparing the benchmark i find the rebuttal sufficient and adequate and hence recommend accepta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles an active learningbandit problem in which utility is defined to be the sum of the observed labels the proposed policy minimizes the ratio between the expected instant regret and the expect...	this was a boredline paper however the reviewers like it and it seems that the authors answered all the concerns of reviewer lipb and myself please add the comparison of ids and ens to the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents udil unsupervised crossdomain imitation learning a method for learning a policy in one environment using expert demonstrations from another environment the focus is on learning a taskrele...	all three reviewers have elected to accept the paper with two weak accepts and one accept the reviews were thorough and demonstrated an understanding of the paper and the authors have addressed many of the suggested edits i find figure 2 of the paper comparison to xirl on xmagical benchmark compelling recommendation a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to replace the dynamic routing layer of the original capsule networks with a trainable neural network layer the idea is interesting however the following problems concern me the model i...	the paper proposes to replace dynamic routing in capsule networks with a trainable layer that produces routing coefficients the goal is to improve their scalability this is promising as a research direction but reviewers have raised several concerns about unclear contributions and lack of a thorough evaluation of the a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors propose a twostage adversarial training technique to calibrate a semantic segmentation model when faced with conflicting labels in the train set their approach is to first train a ...	this paper addresses stochastic semantic segmentation with a twostep approach a standard segmentation network learned with crossentropy serves as a guide to calibrate a second refinement network to generate diverse predictions while their expectation matches the calibration model the reviewers acknowledge the paper m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to compress largescale neural language models eg bert without losing too much downstream performance in contrast to prior work that seeks to compress just the parameters w in th...	this paper proposes a method for compressing weight matrices in large scale pretrained nlp encoders like bert through lowrank decompositions of both fully connected and selfattention layers the method is used to compress and speedup pretrained models experiments measure timing on a single cpu thread and demonstrate spe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper extends the idea of hierarchical local sgd by extending the top hierarchy level to decentralized communication the multilevel local sgd is achieved by the edge devices performing allreduce per tau...	the paper studies a hierarchical or multilevel version of local sgd extending earlier work by wang joshi 2018 lin et al 2018 and jiang et al 2019 among others it gives novel convergence rates in relevant settings such as by allowing different workers to take different numbers of local steps within a given time interv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a mechanism to produce unbiased samples from expensive posteriors given that it is easy to sample from the prior and possible although expensive to evaluate the likelihood the approach p...	this paper proses an inference method that combines gradient ascent and normalizing flows the idea is that one could in principle simulate the deterministic fokkerplanck equation but this would require access to the density of the evolving approximating density which is intractable thus the paper proposes to maintain a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors describe a variabletimescale prediction model for planning in the context of a deep active inference agent they show that this agent outperforms a baseline in a scavenging task in ...	this paper uses a freeenergy formulation to develop an approach to learning jumpy transition models which predict surprising future states this transition model is used in combination with mcts and applied to a scavenging task in the animal ai olympics outperforming two baselines while the reviewers praised the import...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this manuscript the authors propose an approach that combines random search with the surrogate gradient information to this end the proposed method samples from the subspace of the surrogate gradients th...	this paper proposes a guided evolution strategy method where the past surrogate gradients are used to construct a covariance matrix from which future perturbations are sampled the biasvariance tradeoff is analyzed and the method is applied to realworld examples the method is not entirely new and discussion of related ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper discusses an interesting direction to efficiently approximate the loss function in the ecological inference problem which enables extensions using linear models deep neural networks and ...	this paper is very interesting and timely but as the reviewers note there is significant room for improvement in the clarity of the presentation and evaluation in addition to the references mentioned by the reviewers some other relevant references are the following 1 evan rosenman nitin viswanathan using poisson bino...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose utilizing the existing lottery ticket result for constructing binary neural networks this work has some novelty in the sense that i havent seen any other papers on untrained binary neural...	the authors present a new theoretical framework that establishes that any network can be approximated by pruning a polynomially larger random binary networks and also an algorithm for pruning binary nets the results are important in the general context of the strong lottery ticket hypothesis and are of both theoretical...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes some modifications to established procedures for neural speech synthesis and investigates their effect experimentally the proposed modifications are mostly fairly straightforward concept...	the authors discuss an improved distillation scheme for parallel wavenet using a gaussian inverse autoregressive flow which can be computed in closedform thus simplifying training the work received favorable comments from the reviewers along with a number of suggestions for improvement which have improved the draft con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a dataset apt36k for animal pose estimation and tracking apt36k consists of 2400 video clips collected and filtered from 30 animal species with 15 frames for each video resulting in 36000...	after careful review i believe that this paper is a useful contribution to the study of animal pose estimation and tracking the paper received positive reviews from all the reviewers and the authors have successfully addressed the concerns regarding the lack of sufficient novelty and insufficient benchmarking the autho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper develops a stochastic mmtype algorithm to minimize a finite sum essentially the stochastic method draws one sample at each iteration and find a majorization surrogate for the corresponding loss a...	this paper extends the majorization minimization principle particularly the miso method to problems where the surrogate of randomly selected batch functions are intractable such as in formulations rising from variational inference there is a large gap between the reviewers evaluations even after the author rebuttal and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: theoretical results are shown and the model is explained clearly experimental results and realworld applications are missing this paper presents a relational pomdp model together with symmetry assumptionsc...	meta review congratulations the reviewers agreed that this was a paper worth of acceptance please improve the paper as outlined in your responses
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the role of normalization layers in continual learning the main argument is that vanilla batchnorm is not very suitable since the statistics of data change across tasks to alleviate this t...	the paper sheds light on issues with bn in continual learning and proposes a quite simple which is a strength solution to fix it the authors first draw attention to the fact that using recalculated moments boosts performance and reduces forgetting which serves as an argument that at least partially bn contributes to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a metalearningbased method to learn under class imbalance class imbalance is ubiquitous in many real applications and neural networks tend to learn biased models toward majority classes a...	this paper proposes a method for classimbalanced data based on metalearning the technical contribution of the proposed method is limited as it is a reasonable but straightforward extension of the existing method in addition as commented by the reviewers the comparison with existing methods is not enough it is unclear w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies effectiveness of selftraining to improve test time performance when the distribution of test data is not similar to the training data the paper more specifically focuses on sourcefree doma...	the main contribution of the paper is to perform a systematic and large study of selftraining as a method to deal with distribution shifts reviewers have appreciated the clarity in the overall writing of the paper and rigor in the empirical analysis however the main concern from two of the reviewers is that the technic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quality i like the intended focus of this paper which is to perform selfsupervised training of small data for downstream tasks with applications for zero and fewshot learning however there are many limit...	the paper presents a selfsupervised model based on a contrastive autoencoder that can make use of a small training set for upstream multilabelclass tasks reviewers have several concerns including the lack of comparisons and justification for the setting as well as the potentially narrow setting overall i found the pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new criterion for learnable representations of boolean circuits and turing machines the criterion statistically meaningful is the main contribution along with its application to the ab...	this is an extremely interesting and timely paper regarding the approximation ability with statistical consequences of circuits and computationbounded turing machines by feedforward networks and transformers the paper has an interesting and valuable setting and also many unusual ideas together which can inspire a lot o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an extension of hindsight replay to settings where the goal is moving this consists in taking a failed episode and constructing a valid moving goal by searching prior experiences for a c...	this work proposes a method for extending hindsight experience replay to the setting where the goal is not fixed but dynamic or moving it proceeds by amending failed episodes by searching replay memory for a compatible trajectories from which to construct a trajectory that can be productively learned from reviewers we...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a model tuning strategy for steering conditional music generation given the pretrained music transformer model the authors pose the steering as musical feature matching between two seque...	this paper proposed a compositional approach to conditionally steer pretrained music transformers to the direction intended by the user overall the scores are mostly negative the reviewers pointed out some interesting aspects of the paper eg using hard binary constraints as opposed to the soft ones the contrastive app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method is interesting and seems to work better than other methods in the small data sample situation quantitative results confirm the usefulness of the proposed method the paper is rat...	this paper presents a gnnbased framework for modeling amyloid spread in the brain based on structural connectivity while there were some clarity concerns in the original submission these have been cleared up during the rebuttal phase
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present an approach that leverages inductive biases for knowledge decomposition and relational reasoning with the aim of generalizing over outofdistibution tasks in rl with stationary ...	the paper examines an idea that knowledge and rewards are stationary and reusable across tasks an interesting paper that combines number of related topics meta rl hrl time scale in rl and attention improving the speed of training the authors have addressed the reviewer comments strengthening the paper the reviewers a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors aim to solve the problem of one class classification using selfsupervision while this method has been adopted previously in this paper the authors aim to make the oneclass classifi...	this paper explores the robustness of oneclass classifiers to geometric transformations at test time the authors observe that some existing methods fail to detect novel images from the same class when they have undergone specific transformations at test time ie inplane rotations in contrast it is suggested that humans ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary this paper presents semisupervised keypoint localization networks and loss functions to overcome the need for the labeled keypoint data for that task it simultaneously generates keypoint he...	this paper received three borderline reviews 2 1 and one positive review having read through the reviews and author responses the ac recommends the paper to be accepted the method while simple is proven experimentally to be effectively and will add to the body of work on keypoint localization the authors are reque...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper identifies the problem of a natural attributedbased shift nas in the data distribution affecting deep learning dl systems designed for the task of interest an example may be a dl system for xray b...	this paper offers natural attribute methods for shift detection several reviewers are positive but reviewer czxp is the most authoritative in the eyes of the area chair in particular the ac is concerned that the task that this paper defines is artificial and not useful naturally occurring shifts are real happen all t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper looks into the effect of selfsupervised gnn pretraining in graphs used for molecular representation the paper assesses the performance of various popular graph pretraining objectives and finds tha...	the reviewers were split about this paper on one hand they appreciated the sensitivity analyses and surprising findings on the other they were concerned about the overall contribution of the work after going through it and the discussion i have decided to vote to accept given the clear and convincing author response i ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new type of resnetbased normalizing flows in contrast to prior studies which required the lipschitz constant l of each layer to be less than 1 the authors use monotone operators which t...	the paper proposes a new type of resnetbased normalizing flows that unlike previous versions of these flows do not require the lipschitz constant of each layer to be less than 1 the authors use monotone operators which they show to be strictly more expressive and propose a new activation function called concatenated pi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes fractional perturbed gradient descent fpgd which corresponds to the discretization of a stochastic differential equation driven by fractional brownian motion fpgd with a parameter h in ...	this paper investigates the use of nongaussian specifically fractional brownian noise in sdes the reviewers found a variety of weaknesses but overall were positive i point in particular to the many valuable comments left by reviewer xecx as such i mark this paper as accept though i strongly urge the authors to furthe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors pointed out that the measurements in biology and natural science suffer from batch effects such as the variations between batches of data measured at different times or by different sensors in o...	the diffusion maps framework is used to embed a given collection of datasets into diffusion coordinates that capture intrinsic geometry then a correspondence map is constructed between datasets by finding rotations that align these coordinates the approach is interesting the reviewers however found the empirical analy...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update after author response i appreciate the clarifications but given the lack of comparisons or discussion to related prior methods at least liang et al 2020 or some alternative equivalent i cannot recomm...	this work proposes an em type of approach for domain adaptation under covariate shift the approach well motivated and developed and experimentally evaluated on synthetic data pro the em type of framework is simple and natural and promising direction for da which should be explored and analyzed further con the pres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the ultimate goal of the paper is to train an unsupervised generative model in a semisupervised manner as a synthetic training example generator for training segmentation models prior works eg datasetgan sh...	this work deals with training generators of aligned pairs of images and segmentation maps it is based on the recent datasetgan approach which generates images and maps but requires human annotations on a handful of generated images this paper is addressing this problem by learning the annotation model over annotated re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of multidistribution learning specifically the paper proposes several sample complexity bounds for ondemand learning the central contribution of the paper is to first frame co...	this paper studies multidistribution learning it formulates the problem as a zerosum game with the stochastic payoff and then uses tools from the framework of stochastic mirror descent to obtain optimal sample complexities for various collaborative learning settings all reviewers are very positive about this paper int...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a reducible heldout loss selection method for faster model training their method selects a sequence of training points that are referred to as just right for training the main methodolo...	the paper provides a method to accelerate training by choosing a subset of points after the initial submission the reviewers raised a major concern about the practicality of the method in the rebuttal phase the authors provided additional experiments on a large datasets that addressed this concern that being said the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper compiles a dataset from various sources into one unified format for use in downstream research this dataset can be used for pretraining since it is not labelled for any specific purpose and can pr...	the reviews are generally positive though somewhat short and a large pretraining corpus for legal text will likely be useful for nlp research one reviewer gave a reject score 5 with the following two weaknesses a the dataset comes from a wide spectrum of lawrelated data sources which may differ substantially and hence...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers a certain generalization of convolutional neural networks and equivariant linear networks to the infinite dimensional case while covering also the discrete case and offers a universalit...	this work studies the question of universal approximation with neural networks under general symmetries for this purpose the authors first leverage existing universal approximation results with shallow fully connected networks defined on infinitedimensional input spaces that are then upgraded to provide universal appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros 1 this paper extends the semantic modular network on images to the video setting 2 by making use of the weak supervision from the question answer it can learn different kinds of concepts including phys...	this paper received 4 reviews with mixed initial ratings 6775 the main concerns of r1 who gave an unfavorable score included lack of clarity the manuscript is hard to follow and limited empirical evaluation the method is tested on a single synthetic dataset clevrer the latter point is echoed in other reviews as well in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the idea of image classification based on patchlevel deep feature in the bof model has been studied extensively just list few of them wei et al hcp a flexible cnn framework for multilabel image classif...	this paper presents an approach that relies on dnns and bags of features that are fed into them towards object recognition the strength of the papers lie in the strong performance of these simple and interpretable models compared to more complex architectures the authors stress on the interpretability of the results ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method of calculation for filtering and control in continuoustime linear systems based on using a simulator to generate many trajectories and use their statistical properties to empiric...	this paper presents the use of the ensemble kalman filter enkf to solve the linear quadratic gaussian lqg optimal control problem after reviewing the paper and taking into consideration of the reviewing process here are my comments the related work is limited and needs more improvements to contextualize the problem an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview this paper studies the problem of learning bayes nets using adversarially corrupted data the model is that n samples are made from a bayes net on d nodes out of which an unknown varepsilon fracti...	the main contribution of this paper is a nearly linear time algorithm for learning bayesian networks with a known structure when an epsilon fraction of the samples are contaminated the model assumes that the directed graph is known and the goal is to estimate a vector of length m that describes the conditional distribu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers replica exchange langevin dynamics these methods are very popular among practitioners and developing some theory backing the empirical successes is an important goal unfortunately this p...	the main criticisms were around novelty that the analysis is rather standard given that all the reviewers agreed the paper is well written im inclined to think the paper will be a useful contribution to the literature the authors also highlight the analysis of the discretization which seems to be missed by the most cri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the challenges in rl that come from using offline data collected at different control frequencies it shows that simplifying running existing algorithms cql on such data called naive mixin...	ae summarizes the strength and weakness of the paper as follows strength the paper is addressing an important and often overlooked topic the paper is wellwritten the motivation of the study is clearly presented and it is easy to understand the proposed method the proposed method seems reasonable weakness adjustin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the application area of attributing feature relevance to different locations in an image is very important and the extension from the classification to the regression case also a very natural step forward ...	both reviewers highlight the importance of the topic and find the proposed approach interesting concerns are mainly on the lack of clarity about methods and results in the short paper while i agree with that it is somewhat less important for this short paper highlighting a recent submission which is also available in f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an imitation learning method solely from video demonstrations by learning recurrent imagebased distance model and in conjunction using rl to track that distance clarity the paper writin...	this paper proposes an approach for imitation learning from video data the problem is important and the contribution is timely the reviewers brought up several concerns regarding the clarity of the paper and the lack of sufficient comparisons the authors have improved the paper significantly adding several new comparis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the problem of finding the dynamics of a population from snapshots of its temporal marginals they introducing an estimator which which is the sum of the goodness of fit to data term and...	this paper studies the challenging problem of inferring the trajectory of a stochastic process from sample observations of its marginals earlier work of lavenant et al introduced a consistent estimator based on an optimization problem over continuous time the main contributions of this paper are in 1 introducing a disc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: adaptive versions of sgd are commonly used in machine learning adagrad adadelta are both popular adaptive variations of sgd these algorithms can be seen as preconditioned versions of gradient descent where ...	this paper shows how to implement a lowrank version of the adagrad preconditioner in a gpufriendly manner a theoretical analysis of a hardwindow version of the proposed algorithm demonstrates that it is not worse than sgd at finding a firstorder stationary point in the nonconvex setting experiments on cifar10 classific...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: neural architecture design for a specific application is a difficult problem the paper is technically sound experimentations are provided to support the model efficiency experiment protocols are not ide...	meta review the authors present a new deep learning architecture for learning functions on multiple permutationinvariant sets they also extend the architecture to handle variable dimensions the paper presented both theoretical results that showing the architecture is a universal approximator of the functions but also e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new framework to solve online combinatorial problems using reinforcement learning the idea is to encode the current input the global parameters and a succinct data structure to repre...	this paper is concerned with solving online combinatorial optimization oco problems using reinforcement learning rl there is a wellestablished traditional family of approaches to solving oco problems therefore the attempt itself to solve them with rl is very intriguing as this provides insights about the capabilities o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new concept named structural causal interpretation sci and the theory supporting sci and its applications several contributions are made by the paper including 1 the theory and method ...	the paper contains fresh new ideas connecting mental models and scms and providing interpretations explanations from dag models learned from data including those learned by using deep learning the usefulness of the theory is illustrated with experiments the paper contributes some theoretical results but the presentatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a continual learning method that looks at tasks correlation the authors define the correlation measure as well to improve positive backward transfer across similar tasks towards this firs...	this paper develops a method to improve backward transfer in continual learning without replay in particular upon learning a new task the proposed method also updates parts of the model responsible for the performance of the old tasks the initial reviews for this paper were quite mixed all reviewers agreed that parts...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new method odits to enable effective ad hoc cooperation without requiring to predefine a static set of teammate types this is done by training encoder networks to extract latent variab...	the paper presents a method for cooperative adhoc collaboration by learning latent representations of the teammates the method is evaluated in three domains all the reviewers agree that the method is novel and adds an interesting contribution to the important and difficult problem of the adhoc collaboration making fewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a novel model of variational autoencoder that deals with irregularly sampled time series with a probabilistic approach to do time series interpolation the main contribution is the arch...	the submission proposes a model to handle uncertainties in an irregularly sampling time series setting hetvae built on the vae framework and the previous work on mtan multitime attention networks and introduces components to encode sparsity information and heteroscedastic output uncertainty the paper is clear wellmotiv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers alternating mirror descent of bilinear 2player zerosum games in the constrained setting where each player can play within a compact and convex set it is shown through a suitable reductio...	the paper studies the regret of alternating mirror descent in constrained bilinear 2player zerosum games where each player can play within a compact and convex set it is shown through a suitable reduction to the skew gradient flow dynamics that the average iterates converges to a nash equilibrium at a speed k23 where k...

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