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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new metalearning framework that learns datadependent latent space and performs fast adaptation in the latent space to this end an encoder that maps data to latent codes and a decoder t...	this work builds on maml by 1 switching from a single underlying set of parameters to a distribution in a latent lowerdimensional space and 2 conditioning the initial parameter of each subproblem on the input data all reviewers agree that the solid experimental results are impressive with careful ablation studies to sh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the behavior of dnnbased bestfirst search for solving sokoban planning problems and discovers left heavy tails on the running time distribution from hard sokoban instances the main contr...	the reviewers found this empirical papers observations and explanations regarding search guided by a dnnbased heuristic insightful and definitely worth publishing despite the fact that the study was done on only one benchmark sokoban
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper presents a satisfying solution to the open problem of how to train all tasks at approximately the same rate in multitask learning there has been a bunch of work on this problem in the la...	the paper is proposing a multitask learning approach extending existing weighting approaches an important and novel contribution of the paper is separating the magnitude and direction information in gradient based information the joint gradient direction is searched by using angle bisectors of task gradients and magnit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper proposes a shape generation methods where shapes are represented by a set of parametric patches sets of patches from the same category will follow certain constrained defined...	description the paper presents a patchbased 3d representation of manmade shapes that can be computed with deep learning and used directly in existing cad applications this representation is based off a deformable parametric template with coons patches results in sketchbased modelling tasks shows comparable results with...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is an extension of the contextual graph markov model a deep unsupervised probabilistic approach for modeling graph data the key idea is to leverage hierarchical dirichlet processes which enables ...	this paper extends the contextual graph markov model a deep unsupervised probabilistic approach the key idea is to leverage hierarchical dirichlet processes to automatically determine each layers latent representations size the paper conducts experiments on graph classification tasks to show the superiority of the prop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper studies an important problem and proposes the novel residual perturbation to protect privacy while maintaining the resnet models utility two sde models are provided to inject noises wit...	this paper proposes techniques for differentially private training of resnets inspired by sdes the idea has some promise but the paper does not give convincing evidence either theoretical or empirical that it outperforms existing tehniques unfortunately comparisons with existing techniques are presented in a misleading...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce channelwise convolutions and an optimized degree mixing set in order to construct equivariant layers that exhibit improved scaling properties and parameter efficiency on some prototypi...	this paper proposes an efficient approach for computing equivariant spherical cnns significantly reducing the memory and computation costs experiments validate the effectiveness of the proposed approach pros 1 speeding up equivariant spherical cnns is a valuable topic in deep learning 2 the proposed approach is effec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper is concise and easy to understand 2 the overall motivation of the study is clearly described 3 using 4d ctp data for such a task is an interesting research topic especially for its application...	though the topic is important and the approach appropriate absence of methodological novelty combined with limited validation and mediocre results put this paper below the bar the paper is also much longer than the allowed 3 pages
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a linear combination of reward shifting to improve the performance of valuebased reinforcement learning using the equivalence between reward shifting and a new initialization for the qva...	i thank the authors for their submission and active participation in the discussions the majority of reviewers have concers with this paper in particular regarding the motivation of the method dghr clarity mgm9 and theorethical support 4enc i side with reviewers 4enc dghr and ffaw and recommend rejection of this paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for fully offline metarl specifically they assume there is no interaction with the environment at all neither during metatrain nor metatest and this method only sees previously ...	the paper proposes a method for offline metarl where we metatrain on precollected offline data for several rl tasks and adapt to a new task with a small amount of data the paper assumes that there is no interaction with the environment either during metatrain or metatest in this setting motivated by the ide of leverag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigates important aisafety questions of whether new vision transformer based models are capable of detecting near ood samples the paper makes good comparisons to reasonable cnn baselines and ...	it appears as if both reviewers found some positive aspects and adapting and evaluating known techniques for ood detection with either transformers or standard cnns the results are considered to be not exactly exciting and more work would be required to come to a more insightful conclusion in summary i believe the pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies a promising task of interpretable food ingredients recommendation there has been a growing interest in modeling recipes the idea of leveraging kg to improve the interpretabilityfaithfulne...	there is a broad consensus that this paper explores an interesting and novel problem space nonetheless in their initial assessment the reviewers pointed to a few limitations of the paper including lack of strong baselines lack of an ablation study and weaker results according to the hit10 metric the authors provided ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new neural implicit representation called objectcentric scattering function for scene compositing application the major extension is to add the lighting direction as an input so that t...	all three reviewers recommend borderline rejection based on limited novelty missing comparisons with other methods and runtime inefficiency the authors response helped clarify other questions but did not eliminate the main concerns about the paper the ac agrees with the reviewers that in its current form the paper does...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a novel algorithm for multibatch reinforcement learning with nearly minimax optimal regret and oh loglog k batch complexity additionally authors propose polynomial time implementation and p...	the paper studies the batch rl problem in which the algorithm first decide a switching schedule and then switch the policies based on this schedule the proposed approach achieves a good regret upper bound matching existing nonbatch algorithms although the lowerorder terms are still large the batch complexity on the oth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors argue that it is important to 1 estimate the impact of recommendation systems of user preferences 2 evaluate if the shifts would be undesirable and 3 optimize to avoid undesirable ...	this paper studies the influence of recommender systems on users preferences the authors propose a method for estimating preference shifts evaluating their desirability and avoiding such shifts when needed after the initial review and discussion period a fourth reviewer with significant recsys experience and a very go...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method combining evolutionary methods and rl in particular the authors combine cem and td3 in pgps pgps maintains a population of policies which interact with the environment to col...	this paper proposes a hybrid algorithm that combines rl and populationbased search the work is interesting and wellwritten but the contribution of the work is very limited in comparison with the stateoftheart
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the system is explained thoroughly and with the help of nice looking graphics the network architecture and its function is clearly described the paper validates the results against baselines and shows clear...	the authors have proposed a languagevision dual attention architecture trained in a multitask setting across sgn and eqa in vizdoom to allow for knowledge grounding the paper is interesting to read the complex architecture is very clearly described and motivated and the knowledge grounding problem is ambitious and rele...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: inspired by the observations of feedforward inhibition in the brain the authors propose a novel ann architecture that respects dales rule dann they provide two improvements for training danns better initial...	this paper was unanimously rated above the acceptance threshold by the reviewers while all reviewers agree it is worth accepting they differed in their enthusiasm most reviewers agree that major limitations of the paper include that the paper provides no insight into why dales principle exists and the actual results...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for uncertainty estimation of a classifier network called klosnet the klos metric is designed to measure both the uncertainty between classes and the probability of outofdomain s...	this submission received 4 diverging ratings 6 5 5 3 on the positive side reviewers appreciated the central idea and a quality manuscript at the same time they have raised important concerns around unfair comparisons with baselines experiments not fully supporting the claims and lack of comparisons with some prior meth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers entropy estimation of an unknown discrete distribution of alphabet size k under memory constraints specifically constant number of words previous work proposed an algorithm whose sample...	this paper improves the stateoftheart in estimating the entropy of a discrete distribution under memory constraints the reviewers agreed that the presented result is elegant and nontrivial and that the ideas are described well there is some concern that the paper is incremental due to the absence of lower bounds but th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: after reviewing the authors response the authors have agreed to include missing sparsity levelresults and have commented that such results are in line with the trends observed in other experiments furtherm...	on the positive side this is a quite nice empirical exploration of the interaction between data parallelism and sparsity for training neural networks the experiments are broad and detailed on the negative side the empirical results recapitulate what would be expected and what has already been seen in the literature as ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors use neural networks to parameterize conditional probability distributions this is wellknown and has been applied in the literature since extensions to generalized linear models beyond their cano...	this paper proposes to quantify the uncertainty of neural network models with beta dirichlet and dirichletmultinomial likelihood this paper is clearly written with a sound main idea however it is a common practice to model different types of data with different likelihood although the proposed distributions are not usu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the new proposed algorithm for testing markov equivalence of mags has lower computational complexity than any other currently used algorithm the computational advantage was verified on also experimentally o...	meta review this is a really nice paper that has been praised by all the reviewers and represents something of a breakthrough in the understanding of mag equivalence classes it has a very high average score and therefore i recommend it be given an oral presentation at the conference minor comments page 2 i think...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a neural representation based on spherical neural fields for natural illuminations that are compact and rotation equivariant it proposes a method based on variational autoencoders to le...	the paper introduces a rotationequivariant conditional spherical neural fields for illumination priors reviewers mostly like the novelty of the proposed approach its fit for the considered task of illumination priors technical soundness and experimental evaluation that is thorough and shows merits of the approach the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: all approaches that propose the use of unsupervised or semisupervised learning to exploit the information contained in large databases are of great interest and fundamental for the immediate future in the ...	the motivation for using semisupervised learning in medical imaging is clear in order to reduce the cost of acquiring dense expert annotations this paper presents an interesting study on applying recent semisupervised learning methods to chest xray segmentation there are some conflicting reviews here but in general the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims to improve the efficiency of motion planning problems in dynamic environments such as with moving obstacles or multiple manipulators the approach taken is graph neural networks and temporal e...	robot motion planing in dynamic environments remains a significant problem all reviewers consistently agree that the suggest gnn approach in this paper has useful merits is of general interest and that the paper is above the publication threshold detailed comments of the reviewers provide a good source for some finetun...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper authors introduce a new approach to contentstyle cs disentanglement for multimodal unsupervised imagetoimage translation the main idea behind the proposed method is that the content informatio...	the paper proposes an approach to definingtackling the question of separating style and content of images and introduces a novel way to learn representation that disentangle these aspects of images i think it offers some new ideas the reviewers were split on the evaluation among the chief concerns with the initial subm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update during rebuttal i have read other reviews and authors answers to them my main concern about the approach to be potentially overcomplicated has been address and i was convinced i am raising the score ...	the reviewers agree that the proposed method for reducing overconfidence in relu networks is novel and interesting however the presentation of the theoretical results is too informal and imprecise to warrant acceptance without a strong accompanying experimental section which is unfortunately lacking i therefore cannot ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript proposes a new method of training neural rdes with a pretrained autoencoder to reduce overhead of the logsignature transform when dealing with long timeseries the neural rde is trained on the...	this paper proposes a novel method for training neural rough differential equations a recent model for processing very long timeseries data the method involves a lowerdimensional embedding of the logsignature which is obtained via pretrained autoencoder to reduce overhead the results show significant and consistent imp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the use of a probabilistic loss function adds an extra layer of understanding of the model allowing for a measure of uncertainty in the provided neural network forecasting the new architecture presented her...	meta review the negative reviewer has major concerns about the insufficient introduction of the whittle network and its evaluation settings in rebuttal the authors have addressed them clearly ac read the paper not in detail reviews and author response and believes that the papers strength clearly overweighs its weaknes...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a solid technical study of offline ssp and two of its algorithms presentation of the work is quite abstract leaving much of the background unexplained an experimental study would strengthen the wo...	meta review ultimately this paper ended up just above the threshold of uai acceptancethe authors gave a very nice response in the end two reviewers requested experimental validation of the result to provide evidence of practical performance of the proposed algorithm this would strengthen the paper since constants can...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores a very important question in dynamical system identification of how to make recurrent neural networks rnns learn both longterm and shortterm dependencies without the gradient vanishing or...	this paper describes a clever new class of piecewiselinear rnns that contains a longtime scale memory subsystem the reviewers found the paper interesting and valuable and i agree the four submitted reviews were unanimous in their vote to accept the theoretical insights and empirical results are impactful and would be s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the bestofbothworlds setting in online learning with feedback graph the rewards of arms can be stochastic or adversarial and the feedback of them is described by a directed graph of arm...	the paper received four reviews from experts in online learning who all strongly support acceptance as summarized very well in the reviews this is a wellwritten paper that makes a solid and elegant contribution to the line of work on bestofbothworlds online learning the authors have effectively addressed the relative...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new approach to understand the theory of relu neural networks using a teacherstudent setting this paper studies the batch normalization and the disentangled representations of neural n...	this paper studies the behavior of gradient descent on deep neural network architectures with spatial locality under generic input data distributions using a planted or teacherstudent model whereas r1 was supportive of this work r2 and r3 could not verify the main statements and the proofs due to a severe lack of cla...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a new variant of stochastic heavy ball method combining eulers method to adjust learning rates adaptively they give a convergence analysis of the regret bound under the online ...	the paper presents a new variant of the stochastic heavy ball method with coordinatewise stepsizes they prove a regret upper bound in the online convex optimization setting and validate the algorithm on few deep learning tasks the reviewers found the paper severely lacking on many aspects in particular the formulatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops a differentiable tactile simulator that models the tactile sensor with discrete points on the surface of the sensor and calculates the normal and shear force at these points from interact...	this paper presents a differentiable and fast contact model including shear force that enables efficient reinforcement learning with simulated tactile sensors of arbitrary shapes the model is used with ppo to learn 3 tasks in simulation the authors also present simtoreal transfer in the insertion task the paper is wel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents several modifications over testtime normalization and testtime adaptation which swap the statistics of the bn layer during testtime to handle the distributional difference specifically t...	the paper builds on ideas in testtime adaptation and testtime normalization to improve performance under covariate shift concretely the paper proposes i alphabn a method to calibrate batch statistics by mixing source and target statistics and ii testtime adaptation using the core loss which was proposed by jin et al 20...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission investigates the risk averse objective in offline rl usually the parametric uncertainty is the main source of worries in offline rl and dealing with the stochastic uncertainty on top of it in...	this paper proposes oraac an offline rl algorithm that minimizes the conditional valueatrisk cvar of the learned policys return given a dataset by a behavior policy the reviews are generally positive with most agreeing that the paper presents interesting empirical results the experiments are limited to simpler domain...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work explores different local training schemes and demonstrates a better compute efficiency of local training schemes over the traditional synchronous backprop the paper is well written and clearly art...	after reading the paper reviews and authors feedback the metareviewer agrees with the reviewers that the paper touches an important topicscale up training however as some of the reviewers pointed out the paper could be further improved by clarifying the novelty and more thorough evaluation justification of the metric b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an algorithm to learn dynamics on graphs node scores are computed by a gnn and then used to predict the modification of the graph nodeedge insertiondeletion the training of the gnn is ...	the reviewers generally liked the paper but had several concerns the rebuttal and revision of the paper could mitigate most concerns and the reviewers are now mostly positive towards the paper remaining concerns are mostly about the presentation of the paper which indeed has room for improvements but overall is good en...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper presents an interesting idea that to append the agents action space with the experts most frequent action pairs by which the agent can perform better exploration as to achieve the same p...	the paper proposes an interesting idea for more effective imitation learning the idea is to include short actions sequences as labels in addition to the basic actions in imitation learning results on a few atari games demonstrate the potential of this approach reviewers generally like the idea think it is simple and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper reintroduces a very important topic in the ml cv community that has not been studied enough are computer vision models aligned to human visual perception and if they are not why should we care t...	the reviewers have brought up important concerns around the framing of the paper contributions the presentation and application of the neural harmonizer method and the use of saliency maps the authors have addressed some of these concerns in their rebuttal however i think the main contribution of this paper is the eva...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: image representations learned using byol a contrastive method show better disentanglement than those learned with disentanglementspecific methods compares across models in toy datasets and one realworld dat...	the paper provides additional empirical evidence that selfsupervised learning methods can help disentangling factors of variation in a dataset that said the paper can benefit from better framing and perhaps comparison with existing work eg httpsarxivorgabs210208850 and httpsarxivorgabs200700810 furthermore the authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper scales ntps by using approximate nearest neighbour search over facts and rules during unification additionally the paper incorporates mentions as additional facts where the predicate is t...	this paper focuses on scaling up neural theorem provers a link prediction system that combines backward chaining with neural embedding of facts but does not scale to most realworld knowledge bases the authors introduce a nearestneighbor searchbased method to reduce the timespace complexity along with an attention mecha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 strong clinical motivation for temporal modelling of covid progression 2 technically also well motivated authors argue that spatial lstms improve discriminative accuracy by correlating features from dif...	3 wa and 1 wr the wr reviewer found that the paper does not have a very clear presentation of the evaluation all reviewers agreed that the paper deals with an interesting topic and it presents some interesting methodological designs the authors addressed the points raised by the reviewers during the discussion and upd...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: trained and release highquality agents that can track over three hours of mocap data for a simulated humanoid in the dmcontrol physicsbased environment release mocapact a dataset of these expert agents an...	in this paper the authors propose a multitask dataset for simulated humanoid control reviewers had concerns about the scale of this benchmark and its significance many of which are addressed during the author response periods we encourage the authors to further address the remaining feedback especially those from eawt ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new task of video text visual question answering vitevqa which extends the previous textbased visual question answering task into the video domain the proposed task aims at answering q...	the paper presents a new video text vqa dataset along a new baseline the reviewerss key concerns are around the size and difficulty of the dataset the authors successfully address those during the discussion and revision period the dataset is likely to be of interest to the community and was nontrivial to construct
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use tic as a metric for measuring the generalization gap using an extensive set of architectures and datasets this paper present empirical results that show the correlation between th...	while the reviewers acknowledge the broad experimental work done in this paper they all find several issues which in their combination show that the paper is simply not in a good enough shape this impression has not changed during the rebuttal phase and as a result this is a clear reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper plugs a knn memory module into a transformer for longdistance knowledge specifically the bottom layers are still transformer blocks then a knnaugmented attention layer is used to store the process...	this paper studies the problem of dealing with long contexts within a transformer architecture the key contribution is a knn memory module that works in concert with a transformer by integrating upper layers with additional retrieved context the idea is simple but the execution is good while the idea is reminisce...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an algorithm autolrs to tune learning rate schedules based on bayesian optimization with gaussian processes and loss curve forecasting with exponential functions the authors conduct exper...	the paper has been actively discussed both during and after the rebuttal phase i am thankful for the active communication that took place between the authors and some of the reviewers the paper was overall found quite clear with an interesting methodology especially the introduction of a forecasting step and a solid l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper gives a method for sampling logconcave distributions supported on compact convex sets based on riemannian hamiltonian monte carlo rhmc equality constraints are enforced via a lagrange multiplier ...	the focus of the submission is practically efficient sampling of nonsmooth constrained logconcave distributions in high dimension as formulated in 1 in order to tackle this task the authors design a constrained variant of the rhmc riemannian hamiltonian monte carlo technique relying on selfconcordant barrier functions ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework for learning goalconditioned policies from play data the key insight is to segment the play data based on the robots contact with objects instead of splitting the data into f...	the paper provides an interesting concept of using objectcentric play data for learning multitask policies with a sound framework the paper is well presented and the reviewer concerns were well addressed including improving the experiments section including more complex tasks remains a concern and it can significantly ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach for automatic robot design based on neural graph evolution the overall approach has a flavor of genetical algorithms as it also performs evolutionary operations on the graph ...	lean in favor strengths the paper tackles the difficult problem of automatic robot design the approach uses graph neural networks to parameterize the control policies which allows for weight sharing transfer to new policies even as the topology changes understanding how to efficiently explore through nondifferentia...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of enumerating the rashomon set for sparse decision trees the rashomon set is the set of all almostoptimal models and the paper provides the first result in enumerating it for...	this paper presents an algorithm to completely enumerate the rashomon set of sparse decision trees using a branchandbound search over a set of hierarchical maps the reviewers were in agreement that this paper is an important contribution to the field the method is particularly useful for identifying nearoptimal decisi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update after reading the other reviews and authors responses some valid criticism has been raised and addressed by the authors to a reasonable degree given eg the limitations of a conferenceformat paper giv...	this paper studies the lottery ticket hypothesis in reinforcement learning for identifying good sparse representations for lowdimensional tasks the paper received initial reviews tended towards acceptance however the reviewers had some clarification questions and concerns the authors provided a thoughtful rebuttal the ...
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 postprocessing method for removing bias from a trained model the bias is defined as conditional statistical parity for a given partitioning of the data the predicted lab...	all reviewers feel this paper addresses and important topic and has many merits however it is difficult to recommend publication at this time the primary concern is that the paper has its theoretical optimality as an important contribution but the reviewers and myself in a nonpublic thread were unable to verify the cor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes to use a normalization method to address temporal distribution shift in timeseries forecasting the proposed approach revin consists of two steps instance normalization on input sequences ...	this paper introduces the reversible instance normalization revin a method for addressing temporal distribution shift in timeseries forecasting revin consists in normalizing subtracting the mean and dividing by the standard deviation each layer of of deep neural network in a given temporal window for a given instance a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a novel layerwise optimization approach for learning cnn with piecewise linear nonlinearities the proposed approach trains piecewise linear cnns layer by layer and reduces the subproble...	the authors present a novel layerwise optimization approach for learning convolutional neural networks with piecewise linear nonlinearities the proposed approach trains piecewise linear convnets layer by layer reduces the subproblem into latent structured svm reviewers mainly expressed concerns about the experiment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper curates existing synthetic datasets to compile a new dataset to benchmark video action recognition when using the resulting dataset for pretraining action recognition models it appears that synthe...	this paper had 5 reviews in response to the reviewers comments the authors performed additional experiments considering that the dataset consists of synthetic videos there are no concerns related to ethics privacy and copyright public documentation for benchmark reproducibility is available on github overall the author...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: methodology the method proposed is well motivated it looks simple but effective theoretical analysis the paper provides a detailed analysis of the proposed method experiment scale is small the papers ...	meta review this paper studies the instability of neural networkdriven mutual information estimators it identifies two reasons for instability including the nonconvergence of neural networks and the saturating neural network outputs then a practical regularization is proposed to mitigate the instability issues both the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to decompose the qvalue as immediate rewards and residual returns ie the sum of rewards from t1 to t this decomposition makes the actor can leverage the gradient from the immediate rewar...	while all reviewers appreciated the idea there are severe concerns in particular from r3 concerning the validity of the statements and the contribution in many standard rl settings the immediate reward might be misleading the proposed algorithm seems only to have a benefit if a properly shaped reward signal is used ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes creating a semantic graph connecting the multiple turns in a dialogue and subsequently learning reasoning paths in that graph to find the most relevant nodes for answering a given questi...	this paper studies the problem of visual question answering in multiturn dialogues the proposed method is to identify relevant dialog turns as a path in a semantic graph that connects the dialogue turns empirical performance of the proposed method is strong reviewers concerns have been compressively addressed overall t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work presents an interesting equivalency between a generative probabilistic mixture model and a winnertakeall hebbian local learning rulebased learning the approach seems promising especially the advers...	the authors provide an analysis of softwinnertakeall wta networks with hebbian local learning as a generative probabilistic mixture model they then present experiments on comparably simple data sets mnist and fmnist results are compared to hard wta networks and an mlp of the same size single hidden layer trained with b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview of the paper the paper theoretically studies the structure of optimal weights in deep linear and relu neural networks using the convex duality formulation the findings in the paper includes 1 al...	the paper studies the globally optimal solutions to deep network training problems using convex duality it derives duals of training problems in which we attempt to fit a dataset while regularizing the network weights with weight decay l2 regularization the paper uses strong duality to characterize optimal solutions to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds a novel indoor perception dataset on radience fields motivated by the recent advances of nerf overall this is an interesting and novel contribution since it exhibits a notable memory compr...	authors propose a novel largescale implicit representation dataset for perception tasks called the perfception dataset which consists of two parts that incorporate both objectcentric and scenecentric scans for classification and segmentation the dataset obtains significant memory compression rate while containing both ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a latent adaptive structureaware generative language model for information extraction tasks the proposed model incorporates a latent structure induction module that automatically induces ...	this paper proposes a latent adaptive structureaware generative language model glm to leverage syntactic knowledge for information extraction tasks the proposed model incorporates a latent structure induction module that automatically induces treelike structures akin to dependency and constituency trees experiments in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analysises the loss minimisation in secondorder learner for epistemic uncertainty quantification it shows the proposed loss functions do not incentivise the learner to represent the epistemic unc...	this meta review is based on the reviews the authors rebuttal and the discussion with the reviewers and ultimately my own judgement on the paper there was a consensus that the paper contributes interesting insights on uncertainty quantification and most reviewers praised several aspects of the submission i feel this wo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper is clearly written in particular the multiple diagrams are very helpful in understanding the key ideas 2 the technical contribution is significant the proposed exponential distribution solves t...	meta review this paper introduces a deep learning method for scene pose estimation it received four mostly positive reviews including two accepts one weak accept and one borderline accept reviewers acknowledge the papers technical contributions including its elegant formulation uncertainty quantification endtoend ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose a channel pruning method for dynamically selecting channels during testing the analysis has shown that some channels are not always active pros the results on imagenet are promising fb...	the authors propose a dynamic inference technique for accelerating neural network prediction with minimal accuracy loss the method are simple and effective the paper is clear and easy to follow however the real speedup on cpugpu is not demonstrated beyond the theoretical flops reduction reviewers are also concerned tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new 25approximation lpbased algorithm for chromatic correlation clustering improving upon existing stateoftheart 30approximation result of klodt et al the authors also present a twop...	the papers studied that chromatic correlation clustering problem the authors introduces a new 25approximation lpbased algorithm improving upon existing stateoftheart the result is not particularly novel but the paper contains a new algorithm for a wellstudied problem and prove that ideas inspired from their theory a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores an orthogonal space gradient descent this is achieved by constructing the perpendicular space from the gradient direction using mathbbi frac nabla g nabla gtnormg2 the reviewers expertis...	all reviewers recommend accepting the paper to various levels of enthusiasm when preparing the final version please take into the following considerations several of the reviewers pointed out that the paper was unclearsloppy in places and that it was not written in a way that is accessible to a general ml audience ta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros 1 the paper seems to be well written have a good review of the references and necessaries for understanding the problem 2 some of the results found in the paper seem to be interesting for instance ...	the authors study the theoretical performance of a metalearning in two settings in the first one the overall number of possible tasks is limited and tasks are close in kldivergence the second setting is map estimation in a hierarchical bayesian framework for a family of linear regression tasks lower and upper bounds ar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is proposing differential privacy dp solutions for multilabel classification mlc in particular it introduces three novel noisy perturbation methods for the mlc setup analyzes them in terms of dp a...	this is an interesting paper discussing differential privacy for multilabel classification the initial reviews rated the paper with rather extreme scores therefore i have invited an additional reviewer this review did not clarify the issues raised by the most critical reviewer but pointed out that the goal of showing h...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of the current submission set out to provide a biologically inspired neural field herein a pde model model of the experimental data reported in wang et al 2020 the proposed model unlike thos...	this paper presents nontrivial and novel theoretical and computational modeling that accounts for experimentally observed phenomena the theta phase procession and precession these phenomena are implicated in the neural representation and learning of neuronal networks involving hippocampus although the current manuscrip...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes using normalizing flow based belief approximation for continousstate pomdps and learning the belief approximation via variational inference in addition the paper proposes learning an act...	summary this is a difficult paper to metareview since it contains some insightful ideas and interesting experiments while it also unfortunately contains omissions confusions and places where clarity is lacking see below one consistent theme is that the paper is too dismissive of prior work the exposition is not as clea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper models a strategic interaction between a decision maker and a decision subject in an incomplete information game using bayesian persuasion which can be applied to credit scoring specifically the...	the paper formulates the problem of algorithmic recourse under partial transparency as a bayesian persuasion game it is shown that the decisionmaker can design an incentivecompatible action signaling strategy with guarantees that both the decisionmaker and decisionsubjects are not worse off in terms of expected utility...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied hyperparameter tuning for contextual bandits the authors proposed a twolayer bandit structure to tune the exploration parameter where the top layer applies exp3 to select a hyperparameter...	thank you for submitting your paper to neurips this paper studies the important practical challenge of parameter tuning in realworld contextual bandit implementations the authors propose a banditoverbandit framework the bottom layer is the original bandit algorithm eg linucb or lints and the top layer is an adversarial...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper analyzes a general class of variational quantum circuits using random matrix theory and gives a theoretical characterization of the distribution of highquality local minima of the associated hamil...	summary study the location of local minima for quantum generative models strengths rigorous analysis of an important question clear writing with important conclusions weaknesses technical writing might not be very accessible discussion reviewers were mostly favorable about this submission they found the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper develops a useful extension to the unsupervised behavioral syllable segmentation model space specifically arhmm with an additional latent variable for time warping handled as in a factorial hmm f...	this paper introduces warped autoregressive hmms where both discrete state transitions zt1 zt and continuous observations xt1 xt zt depend on the previous time step and where the linear dynamics for observation transitions are either timewarped ie the linear transition matrix and bias are multiplied by a timedependen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work introduces a flexible method to distill the knowledge of unconditional gans of images to various image translation tasks including imagetoimage texttoimage and audiotoimage translation while prior ...	this paper studies the problem of distilling the knowledge present in different ganbased image generation tasks the paper received mixed reviews the reviewers had difficulty understanding some details regarding the approach and requests for ablations and clarifications on existing empirical evaluation the authors provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide and describe a library benchopt which can be used to benchmark optimizers the authors demonstrate and discuss the results of three benchmark models on a number of tasks l2 regularized l...	i thank the reviewers and authors for their work throughout the reviewing process including the detailed discussion the paper was borderline after the first round of reviews but the discussions and my own look at the paper makes the balance tip over to acceptance i encourage the authors to use all information in the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes metaole which imposes a lowrank orthogonal geometry in feature space for fewshot learning an adaptive orthogonal lowrank transformation is introduced for efficient adaptations to novel t...	this paper proposes a metalearning method with a latent feature space with a special structure of orthogonality and lowrankness this paper is well written and the use of the orthogonal lowrank embedding for metalearning is interesting the experimental results including additional experiments in the author response demo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed the first publically available largescale dataset of imagetext pairs it consists of 58 billion pairs in total and the authors successfully reproduced the clip models of different sizes u...	the reviewers agree that this dataset represents a huge undertaking that offers potential opportunities for various applications the paper also provides insightful experiments across a series of use cases models and tasks several reviewers also noted the potential risks of the dataset and the potential for misuse alth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of generating expressive speech using determinantal point processes dpp compared to a baseline fastspeech2 baseline the authors extend the duration and pitch predictors with...	this paper proposes the use of the determinantal point process to introduce the diversity in the prosodic features including intonation stress and rhythm in text to speech synthesis the proposed approach is certainly new but the experimental support is of critical importance for this work one of the major points of d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new pretrained visionandlanguage model vlm flamingo built upon pretrained vision and language models the flamingo model can take arbitrarily interleaved visual data and text as input...	this paper proposed flamingo a visuallanguage pretrained model which is built based on existing powerful pretrained pure language models and pure image models by fixing parameters of the existing langauge model and visual model the proposed model is further pretrained with additional perceiver and gated crossattention...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the crossentropy loss and focal loss through the polynomial expansion perspective further this paper proposes a family of loss functions called ployloss three instances of ployloss are a...	realizing the fact that crossentropy loss and focal loss are widely used for training deep learning models but mathematical understanding and exploration for such losses are lacking the authors propose a simple framework named polyloss to express the loss function as a linear combination of polynomial functions in th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies how to achieve batchinvariance in the policy optimization methods eg ppo changing batchsize the samples an onpolicy algorithm collects per update has a significant influence on policy ...	the paper provides a practical approach for making policy optimization methods eg ppo batchsize invariant batchsize invariance allows for achieving the same algorithmic behaviour when different computational resources are available here the tradeoff is the batch size almost all the reviewers consider the paper interest...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes fedsr a framework for learning simple representation in the federated setting so that the model can be applied to unseen domainsclients in the sense of domain generalization the represent...	the paper studies the problem of domain generalization in federated learning and proposes a new regularizer which is a combination of l2norm regularizer on the representation and a conditional mutual information between the representation and the data given the label regularizer the paper is well written and authors pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents a a new reinforcement learning algorithm in which planning is performed purely on the state space instead of the more common stateaction space a constrained optimization problem is formul...	the paper presents a rl planning algorithms where a policy selects a reachable state the empirical evaluation shows promising results in some environments while all the reviewers agreed that the state planning rl is a relevant and promising direction the reviewers expressed concerns with the rigor significance of the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a biologicallyplausible algorithm for blind source separation bss of correlated input sources by applying weight similarity matching wsm approach to the detmax optimization algorithm use...	this paper presents a method for blind separation of correlated sources which is a challenging task applying the weight similarity matching approach to the detmax optimization the authors develop a biologicallyplausible twolayered neural network that can separate correlated sources from their linear mixture all of revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper establishes state evolution analysis of multilayer approximate message passing algorithms used to find an input vector from multilayer noisy measurements or finding the latent code of generative m...	this paper considers finding an input vector from multilayer noisy measurements this can alternatively be thought of as finding the latent code of generative models the authors analyze the state evolution of a multilayer multilayer approximate message passing algorithm the main technical idea is relating random convolu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the goal of metalearning is to train a model on a variety of learning tasks such that it can solve new learning tasks using only a small number of training samples sota metalearning frameworks maml ...	reviewers largely agree that the paper proposes a novel and interesting idea for unsupervised learning through meta learning and the empirical evaluation does a convincing job in demonstrating its effectiveness there were some concerns on clarityreadability of the paper which seem to have been addressed by the authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: results the two main proposed benefits of the approach are increased speedups in inference as well as training over slalom and just sgx looking at figure 2 and figure 4 the sppedups do not appear to be ...	while reviewers appreciated the simple approach of this work the biggest concern reviewers had was with the security guarantee of the method r4 argued that in a certain case recovering an original image x1 amounted to guessing 2 coefficients in the discussion phase the authors argued that security amounts to the advers...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors designed a graph transformer for dynamic graph link prediction tasks the model provides a scalable solution to graph transformers and is claimed to be robust to noise strength the proposed metho...	in this study the authors propose a new graph transformer network for dynamic graph representation to solve the challenges of static graphs learning and the temporal information aggregating this paper introduces a dynamic graph transformer dgt which contains three components 1 a twotower transformerbased method 2 tempo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a reinforcement learning algorithm with temporal abstraction using the options framework it provides empirical results in a variety of domains demonstrating that the algorithm can impro...	there was a fair amount of discussion about the paper several reviewers felt that the paper would have been stronger if it tried to do less but better the reviews describe in detail what the reviewers would have found compelling but the key suggestion is to remove the complexity that is not essential for the approach...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose to improve generalization ability of gnns for the task of graph classification via a causal theoretic analysis under the assumption that only a subgraph of the graph is responsible for ...	the work proposes a method to learn graph representations based on subgraphs that are invariant to spurious subgraphs the reviewers found the paper easy to read and the theory interesting well explained and justified the reviewers seem happy with the existing and new experiments that came during the rebuttal phase i to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the problem of learning datadriven priors for bayesian neural networks assuming zerocentered gaussian priors for bnns often results in poor generalization and uncertainty quantification ...	the paper addresses the problem of prior selection in bayesian neural networks by proposing a metalearning framework based on pacbayesian theory the authors optimize a pac bound called pacoh in the space of possible posterior distributions of bnn weights the method does not rely on nested optimization schemes instead t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes gradient based weighting strategies for synchronous spfl and asynch plga personalized federated learning fl authors also provide experimental results comparing their methods to baselines...	this paper proposed a personalized federated learning algorithm which takes into account the similarity of gradient of different users to update the model although the ideas presented are intuitive the algorithms have fundamental limitations for example they may cause large overhead of memory communication and computat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this submission the authors introduce a new benchmark for assessing disparities in facedetection systems caused by image perturbations introduced into images noise the benchmark involves measuring perfor...	the paper contributes a benchmark dataset to test the robustness to noise of face localization models it is created by adding a standard set of perturbations to four existing datasets the paper also includes an analysis of six face detection systems based on this dataset since the authors focus on disparities in robust...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies optimistic gradient descent ascent ogda and optimistic multiplicative weights update omwu in the constrained convexconcave minmax optimization setting for omwu under the assumption of uni...	the authors propose to provide fast convergence results for the ogda and omwu algorithms based on a reinterpretation of the metric subregularity in the saddle point problem setting during the rebuttal period the paper improved significantly not only due to the diligence of the authors but also due to reactive reviewers...

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