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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a particular variant of experience replay with behavior cloning as a method for continual learning the approach achieves good performance while not requiring a task label this paper make...	this paper and revisions have some interesting insights into using er for catastrophic forgetting and comparisons to other methods for reducing catastrophic forgetting however the paper is currently pitched as the first to notice that er can be used for this purpose whereas it was well explored in the cited paper selec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors provided their theoretical understanding on the translation and reconstruction guarantees of the cycleconsistent gans they showed that the translators based on deep relu networks c...	this paper analyzes the consistency of cycleconsistent gans the authors provide theoretical insights in how the information is preserved by relu dnn translators via functional analysis they additionally show the equivalence of l1 and 1w distance under the cyclic loss context the highlight of this paper is the rigorous ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for using text editing for aligning language models to human values they compare with zeroshot gpt3 and instructgpt3 in addition to other methods and generally improve performan...	this paper received reviews and ratings that are leaning positively the reviewer discussion and ethics review highlighted weaknesses that make this paper quite borderline strengths 1 the goal and task of the paper are quite well motivated and they are geared towards positive societal impact refining generated text to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have done a remarkable job of reproduction the work incorporates major todos of rcdocsepthis paper seems to follow the guidelines for reproducibility notation code the authors introduce a simpl...	reviewers agreed that this work should be accepted they praised that it was a thorough reproduction and it was well written with good quality evaluations
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper studied the popular belief that deep neural networks do information compression for supervised tasks they studied this compression behavior with tanh and relu and its variants acti...	this paper suggests that noiseregularized estimators of mutual information in deep neural networks should be adaptive in the sense that the variance of the regularization noise should be proportional to the range of the hidden activity two adaptive estimators are proposed 1 an entropybased adaptive binning ebab estimat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper looks at online matrixcompletion the goal is to obtain a matrix x in mathbbrd times r that minimizes xxtop m f2 when the elements of the d times d matrix m are revealed in an online fashion the ...	the sgd version for this matrix completion problem is missing and this work is trying to fill the missing piece the concerns of the reviewers seem to be resolved please try to add the realdata experiments to the final version maybe instead of the synthetic data
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of answering queries about foils ie why an alternative plan was not chosen by an agent acting optimally in a deterministic mdp the authors describe three broad classes of re...	this paper is an intriguing study of agents that can give explanations contrastive of their actions via symbolic representation such as dialog agents can also allow users to argue against the agents decisions i am extremely impressed by the quality of the reviewer comments and discussions it is also interesting that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper does not seem to present a big departure from existing approaches the results seems somewhat on par although the diversity in phoneme duration is measurably higher than that of prior approaches th...	the paper is on topic for the workshop the reviews are mixed with the main positive point being that the sample diversity is increased as is one of the claims made in the paper the main points of criticism are 1 that the proposed method is only a minor deviation of existing approaches 2 that the model can only outperfo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents the analysis of 13 zerocost proxies on 28 tasks and releases the precomputed scores of them the authors also studied a way to combine all zero cost proxies to allow better nas performanc...	this paper presents a systematic review of zerocost proxies for neural architecture search by design these proxies are cheap and easytoevaluate but results reported in the literature have been mixed in this light a benchmark seems relevant and important for further progress in this area the reviewers uniformly apprecia...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes polyhistor and polyhistorlite consisting of decomposed hypernetworks and layerwise scaling kernels to share information across different tasks with a few trainable parameters and address...	the proposed polyhistor and polyhistorlite for parameterefficient multitask adaptation achieves competitive performance gains on dense vision datasets all reviewers give consistent positive scores the requested experiments for more backbones selfsupervised backbones and analyses have been accordingly added during the d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a behavior similaritybased representation learning method that improves the generalization performance in an offline rl setting two key ideas are presented here 1 the proposed behavior...	this paper studies an interesting problem and overall the reviewers agreed the exposition and validation are sufficient we encourage the authors to consider the issues raised by the reviewers and further improve the work in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for exploration of 3d articulated environments that alternates between collecting interaction data with rl while maximizing a combination of extrinsic and intrinsic rewards and t...	the paper claims to present actionable visual representations for manipulating 3d articulated objects specifically the approach learns to estimate the spatial affordance map as well as the trajectories and their scores after checking the rebuttal from the authors all reviewers agree that the paper adds value to the res...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a macro search space which allows blocks in a model to be different to promote performance to provide a systematic study of the performance of nas algorithms in a macro search space name...	this paper introduces a new nas benchmark with 95k architectures evaluated on a single dataset criticisms were quite diverse including the novelty and design of the search space the use cellbased baselines with much smaller search spaces the limited number of algorithms being benchmarked and the limitation to a single...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this manuscript proposes a novel learning method to improve the robustness of unsupervised anomaly detection called robust collaborative autoencoders rca this combines two autoencoders which excha...	the paper describes an autoencoderbased approach to anomaly detection the main weaknessnot untypical for papers in this application areais the experimental section the problem itself may be not welldefined and of course that makes practical comparison difficult perhaps different measureseg remaining lifemay be better...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors identify that classical learning is running into limitations due to power and scale of computing systems the authors suggest quantum learning might supplant classical learning and solve these fu...	this paper proposes a new quantum machine learning framework which is evaluated on the mnist dataset while the paper was relatively well written reviewers noted that most of the ideas are already well established and used in quantum machine learning community thus it was not clear what novelty is provided relative to r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: updated score post rebuttal the paper proposes a new method autoinverse in the field of inverting neural networks that incorporates the uncertainty in the modelling of the nfp natural forward process thoug...	thanks to the authors for submitting this super interesting work the reviewer discussion reflected an overall satisfaction with the submission author responses and updated manuscript the additional experiments directly addressed reviewer concerns and contributed to increased scores and clarifications in the submission...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe a focused belief propagation strategy for learning nns they argue that it continues to exhibit some of the same nice properties that stochastic gradient methods have in practice with t...	this paper presents a method for training neural networks with belief propagationbased algorithms the approach is to set a fully factorized prior over weights compute a forward and backward pass of messages on a minibatch then set the new prior to be a slightly higher temperature version of the minibatch approximate po...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros the paper studies a very important problem in gene data analysis the proposed method is technically sound the method is intuitive in its idea and easy to implement the results are interpretable and acc...	the paper introduces a linear projection method inspired by anova for finding a supervised lowdimensional embedding a positive aspect is that the method is straightforward and it is even slightly surprising that in the family of linear models there still was an uncovered niche the paper was considered useful for the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a stochastic multiarmed bandit setting with delayed feedback where additionally the bandit policy must incentivize an external agent to pull the desired arm and the arm preferences of thi...	this paper tackles a bandit problem that incorporates three challenges motivated by common issues encountered in online recommender systems delayed reward incentivized exploration and selfreinforcing user preference the authors propose an approach called ucbfilteringwithdelayedfeedback ucbfdf for this problem and provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary and contributions the paper proposes a generative model for the motion of surface waves in open and closed geometries while neural networks have been applied to simulate fluid dynamics before they ...	reviews were somewhat mixed here but the consensus is to reject with at least one voice r2 urging rejection across reviewers the recommendation to reject is primarily based on the level of originality with the proposed unet architecture and on weakness of experiments especially in comparing to baselines reviewers foun...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new model for reading and writing memory in the context of taskoriented dialogue the model contains three main components an encoder a decoder and an external kb the external kb is in t...	interesting paper applying memory networks that encode external knowledge represented in the form of triples and conversation context for task oriented dialogues experiments demonstrate improvements over the state of the art on two public datasets notation and presentation in the first version of the paper were not ve...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces orthogonal transformation of tokens and combines it with the idea of interleaving window self attention wsa and dilated selfattention dsa to capture both local and global interactions ...	the paper presents orthogonal attention mechanism for vision transformers all reviewers found the overall system has good performance and the introduced orthogonal attention has the potential to be widely used the authors rebuttal resolves the majority of the questions the authors should add their promised additional ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an approach to learn nonlinear causal relationship from time series data that is based on empirical risk minimization regularized by mutual information the mutual information at the mini...	granger causality is a beautiful operational definition of causality that reduces causal modeling to the pasttofuture predictive strength the combination of classical granger causality with deep learning is very well motivated as a research problem as such the continuation of the effort in this paper is strongly encour...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a new multilabel learning mll setting ie the single positive mll spml where only one positive label is observed the authors use an to learn spml meanwhile they put forward pseudolabeling ...	this paper studies the singlepositive multilabel learning problem to address this problem the authors adopt the pseudolabels to recover the potential positive labels and adopt the global consistency regularization for labelwise embeddings to learn more distinctive feature representations experimental results demonstrat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the mean estimation problem in the case that the users have heterogeneous sensitivities for local and central differential privacy by sharing their data the users receive payments but los...	the reviewers all agreed that the problem setting is wellmotivated the proposed solution is novel and that the paper is easy to understand and to follow though the authors response addressed most of the reviewers concerns during the acreviewer discussion phase some reviewers still noted that the method can add too mu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose an improvement for scorematching based generative modeling 1 resembling low temperature sampling as in gans or flowbased models similarly to 2 they propose to modify the dr...	this paper modifies the conditional diffusion model guided by a classifier as introduced by dhariwal nichol 2021 by replacing the explicit classifier with an implicit classifier this implicit classifier is derived under bayes rule and combined with the conditional diffusion model this combination can be realized by mi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors show that certain complete neural network verifiers can be mislead by carefully crafted neural networks that exploit roundoff errors which when large magnitude values overwhelm low magnitude val...	the authors demonstrate that complete neural network verification methods that use limited precision arithmetic can fail to detect the possibility of attacks that exploit numerical roundoff errors they develop techniques to insert a backdoor into networks enabling such exploitation that remains undetected by neural net...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a method for imitation learning for goaldirected tasks that uses a learned proximity function for computing rewards an ensemble of proximity functions is trained in supervised wa...	the paper proposes a method for learning intristic reward from demonstrations the inartistic reward is computed as timetoreach and generalizes to unseen states the reviewers agree that the method is novel useful and of interest to iclr community although the authors significantly improved the manuscript during the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript develops conformalized sketching a method using conformal prediction to construct confidence intervals for frequency queries based on sketched data the method works at any desired level unli...	the paper proposes a method based on conformal inference in order to obtain confidence intervals for the frequencies of queried objects in very large data sets based on sketched data the applicability of the method relies solely on the exchangeability assumption for the data not on the sketching procedure nor on the da...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the classimbalanced problem with a semisupervised learning scenario unlike the previous approaches which require a complicated sampling strategy and multiple training pipelines the autho...	thanks for your submission to iclr reviews were fairly mixed on this paper with two reviewers advocating for accepting the paper and two advocating for rejecting the paper there were some concerns raised by the reviewers most notably novelty and some issues with the experiments after rebuttal the negative reviewers ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel learnable mpc approach by enhancing the traditional mpc cost with learnable components these learnable components use transformerbased embeddings of realworld context the overa...	this paper proposes a method called performermpc which uses a transformerbased learned cost function by imitation learning with visual input to be combined with mpc for realworld robot navigation tasks its effectiveness is demonstrated in multiple realworld navigation scenarios and confirmed performance improvement ove...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work studies the problem of collecting new data to learn outcome distribution of sensitive groups it analyses three schemes of data collection exploitation only one in which decisions to give a positiv...	this paper has seen a lot of discussion between reviewers and authors reviewers are fairly positive after the discussionrebuttal phase and there have been significant score revisions upwards few concerns that were highlighted during rebuttaldiscussion phase are 1 multiple reviewers have pointed out that amongst two ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tries to investigate and understand if and how adversarial training helps the models trained on the source domain transfer easier and faster to target domains with extensive different configurati...	the premise of the work is simple enough investigate if networks that are trained with an adversarial objective end up being more suitable for transfer learning tasks especially in the context of limited labeled data for the new domain the work uncovers the fact that shapebiased representations are learned this way and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper deals with image to image of faces translation solving two main typical issues 1 the style information comes from the entire region of a given exemplar collecting information from the background t...	the paper received mixed ratings the proposed idea is quite reasonable but also sounds somewhat incremental while the idea of separating foregroundbackground is reasonable it also limits the applicability of the proposed method ie the method is only demonstrated on aligned face images in addition combining adain with f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe an rnn architecture the hmrnn which models the loglikelihood in an hmm the authors provide theoretical results showing that the hmrnn objective function does indeed correspond to the l...	there is consensus that the submission is not yet ready for publication the reviews contain multiple comments and suggestions and i hope they can be useful for the authors
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the practice of weight quantization in deep convolutional neural networks and deep convolutional graph neural networks leveraging the analogy between convolutional architectures and tim...	this paper draws an analogy between quantisation error in quantised neural networks and truncation error in the numerical solution of differential equations all reviewers agree that this is an excellent paper i agree the analogy is a good one with the potential for much further exploration in addition to the very sub...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an exploration of the effect of normalization and initialization in residual networks in particular the authors propose a novel way to initialize residual networks which is motivated by ...	the paper explores the effect of normalization and initialization in residual networks motivated by the need to avoid exploding and vanishing activations and gradients based on some theoretical analysis of stepsizes in sgd the authors propose a sensible but effective way of initializing a network that greatly increases...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new approach for automatic termination of hyperparameter optimization based on bayesian optimization bo the idea is to construct highprobability confidence bound on the regret and then...	in this paper the stopping condition of bayesian optimization bo is discussed this problem is very important when bo is applied to the hyperparameter optimization hpo task all the reviewers agree that the proposed approach based on highprobability confidence bound on the regret is interesting and reasonable an importa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript proposed an unsupervised image registration algorithm based on the optimal transfer scheme solving an unbalanced fused gromovwasserstein optimization problem the algorithm was evaluated on an...	this paper uses optimal transport for aligning cortical surfaces based on the similarity of their functional signatures under different stimulations the paper is well written and the experimental setup is sound the authors added experiments and clarifications to address reviewers comments and concerns the reviewers pro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: incorporating hamiltonian dynamics based inductive bias into deep neural networks has gained significant attention in the machine learning community over the last few years however in many real physical sys...	this paper introduces the stiffnessaware neural network sann for improving numerical stability in hamiltonian neural networks to this end the authors introduce the stiffnessaware index sai to classify time intervals into stiff and nonstiff portions and propose to adapt the integration scheme accordingly the paper init...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors proposed to represent the image as a graph structure and introduce a graph neural network vig architecture to extract graph level feature for visual tasks the graph neural network ...	this paper proposes to explore the graph structure of images by considering patches as nodes where the graph is constructed by connecting nearest neighbors extensive experiments on various visual tasks ie image recognition and object detection have demonstrated the effectiveness of the proposed vig all the reviewers ag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a fast method for solving reinforcement learning problems with constraints oracle computational and memory complexity of the proposed algorithm are provided along with experiments...	the paper builds on the prior work by miryoosefi et al 2019 that finds a feasible mixed policy under convex constraints through distance minimization over a simplex set instead of the primaldual approach used in miryoosefi et al 2019 this paper proposes to apply frankwolfe type algorithm particularly the minimum norm p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript proposes to reduce the intensive computation and memory requirement in reinforcement learning trainings by freezing the parameters of lower layers early besides the authors also propose to s...	this paper presents approach to improve compute and memory efficiency by freezing layers and storing latent features the approach is simple and provide efficiency however there are concerns as well one big concern is that the experiments are not on realistic settings for example real world images and the current cnn i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: based on empirical observations and the neural tangent kernel theory the authors present an explanation of why knowledge distillation kd and early stopping kd eskd are better than using just the onehot labe...	the authors made substantial improvements to the originally submitted manuscript however reviewers initially remained reluctant to support the paper for acceptance based on the degree to which they were confident in the underlying arguments position taken by the authors and the evidence provided to support their posi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an imitation learning algorithm named wasabi that enables quadruped robots to learn from rough and partial expert demonstration using generative adversarial learning instead of using tas...	the paper proposes an extension of generative adversarial imitation learning method gail method and shows how it can be used to generate a backflip for the solo8 quadruped using a handheld human demonstration in addition to leap wave and standup motions it builds on the general approaches of gail and more recently amp ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work derives a new generalization bound for estimating causal effects of continuous treatments the new bound is based on the idea of generalized propensity score reweighting and is obtained via a seque...	the authors propose theory and an algorithm for estimating average doseresponse functions adrf from observational data under assumptions of unconfoundedness and overlap the approach extends theory and methodology from primarily the work in 13 where neural networks and integral probability metrics are used to learn outc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes the neural shuffleexchange network to capture both local and global dependencies for 2d data the idea extends the 1d neural shuffleexchange network to its 2d application the proposed meth...	the reviewers are split two reviewers consider the technical contribution of the paper to be insufficient and raise concerns about comparisons with transformers or using more standard benchmarks for gnn experiments the other considers the experiments convincing and the method worth publishing my own view is that t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to use a score based on the fisherrao information metric the riemannian metric in the space of probability distributions for the detection of outofdistribution samples input to a trained ...	this paper introduces a novel approach for out of distribution detection that generates scores from a trained dnn model by using the fisherrao distance between the feature distributions of a given input sample at the logit layer and the lower layers of the model and the corresponding mean feature distributions over th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper casts some light on the complexity of evidence combination which is little explored in the literature characterizing some cases in which the complexity which in general is phard can dramatically ...	meta review pros 1 the paper makes nontrivial advances over the current stateoftheart for hierarchical models 2 the paper is likely to have high impact within a subfield of ai or moderate impact across more than one subfield of ai 3 key resources eg proofs code data are available and key details eg proof sketches exper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests a source of slowness when training a twolayer neural networks improperly trained output layer classifier may hamper learning of the hidden layer feature the authors call this inverse int...	this paper attempts to address a problem they dub inverse covariate shift where an improperly trained output layer can hamper learning the idea is to use a form of curriculum learning the reviewers found that the notion of inverse covariate shift was not formally or empirically well defined furthermore the baselines us...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a crossimage context memory cicm for learning and using the crossimage context to recover the corrupted regions it tries to provide richer context that benefits the inpainting task the e...	the paper discusses how to use external information for inpainting reviewers appreciated the idea but raised concerns regarding limited novelty use of the proposed method for inpainting baselines being evaluated incorrectly and missing ablations the rebuttal was able to address most of the concerns and reviewers remain...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a quantizationawarescaling mechanism to perform ondevice training with extremely limited memory bandwidth settings the system leverages sparse update throug tiny training engine by pruni...	in this work the authors propose a framework for training cv models on tiny iot devices with very limited memory the reviewers agreed that the paper is well written and represents a valuable contribution to the area of efficient ondevice ml questions raised by reviewers were sufficiently addressed in the response
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes several approaches for numerical feature embeddings for tabular deep learning models and experimentally investigates the gains that such approaches provide methodologically simple linear ...	the authors propose and study the use of embedding scheme to apply deep learning to tabular problems according to reviewers himf and 5og4 and reading the submission the method is simple and clearly explained the experiments are comprehensive and demonstrates empirical improvements on small scale datasets moreover discu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors show how the nervous system of c elegans can be modelled and simulated with datadriven models using different neural network architectures specifically they target the use of state of the art recurr...	this paper explores the use of recurrent neural networks to model neural activity timeseries data the hope is that computationally demanding biophysical models of neural circuits could be replaced by rnns when the goal is simply to capture the right inputoutput functions the authors show that they can fit rnns to the b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: optimizing sparse neural networks is an important topic due to their computational and space savings building on the work of the lottery ticket hypothesis others have shown there exist hidden subnetworks w...	i recommend acceptance this paper presents an interesting inbetween of work on lottery tickets and work on supermasks and i think it is sufficiently novel to merit acceptance even if the significance of the results will need to be left to the judgment of future researchers the reviewers seem broadly in favor of accepta...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses multiagent performative prediction multipfd focusing on a setting where multiple agents are learning a common decision vector from data that can be influenced by their decisions the pape...	this paper received a mixed set of reviews after reading the paper the reviews subsequent authorreviewer discussion and discussing with the reviewers i recommend that this paper be accepted the paper studies a multiagent version of the performative prediction problem the paper contains original and interesting contribu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the properties of decision transformer models trained on multiple atari games using offline rl the model is found to be superior to multigame models using other approaches for exampl...	this paper demonstrates the generalization abilities of decision transformers relative to other approaches in multitask settings the reviewers found the topic interesting and the results compelling unanimously supporting its inclusion in the conference programme accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework for recording synchronized multimodal data from wearable and global sensors in the real world to enable a learning pipeline to better understand human everyday behavior and i...	this paper presents an interesting multimodal dataset for research work on analyzing human actions while there are some issues with this work the authors have addressed most of them well during the rebuttal phase overall there is sufficient support to accept this paper at this conference the authors should include all ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the architecture of the tracker is standard siamese the novelty is at a technical level modules of the crossguided type have been proposed it does bring an improvement but not to the stateoftheart level th...	all three reviewers initially recommended reject the main concerns were 1 weak technical contribution and insight r1 r2 r3 r4 2 incremental novelty another variation of siamfc r1 r2 r3 3 unconvincing experiment results against missing sota r1 r2 r3 the authors response did not assuage these concerns
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the contributions this paper investigates the impact of two variables on language acquisition with human subjects the two variables are the amount of structure as measured by a metric akin to to...	this previously published work gives a great cognitive sciencelanguage evolution perspective on ease of language learning and we look forward to having discussions at the workshop
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a statistic from information theory as a tool to analyze several aspects in machine learning data model etc use the codelength of a dataset subtracting the crossentropy of the final mod...	this work presented a broad set of interesting applications of model information toward understanding task difficulty domain similarity and more however reviewers were concerned around the validity and rigor of the conclusions going into more depth in a subset of the areas presented would strengthen the paper as would ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a pretty cool idea for enabling adaptive kernels for cnns which allow dramatic reduction in the size of models with moderate to large performance drops in at least one case the training...	the paper presents a modification of the convolution layer where the convolution weights are generated by another convolution operation while this is an interesting idea all reviewers felt that the evaluation and results are not particularly convincing and the paper is not ready for acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper idea is pretty much summarized in the title given a greyscale template image they find the closest colored reference image in some custom metric and match the greyscale values to the colors using ...	all the reviewers agree that the results are impressive and the problem is interesting the exposition and validation of the paper however need some work r1 r3 since overall the reviewers are positive about the paper i recommend accepting it with the following provisions clarify or rephrase the analysis of the second ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a unified framework for doing point cloud upsampling denoising and completion jointly the proposed framework contains two modules a pointtovoxel autoencoder and a point relocalization tr...	the paper proposes a unified framework for point cloud upsampling denoising and completion through a twostage approach it receives three reviews with three leaning to accept and one leaning to reject most of the reviewers like the proposed twostage approach for its simplicity and demonstrated strong performance the rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes to change the labels for the mixed examples in mixup my major concerns are as follows 1 the motivation of adopting soft label for mixup is not clear label smoothing is helpful for generic...	this work proposes to improve mixup by using soft labels removing the need for input mixup the reviewers found the paper was clear and found the experiments promising the reviewers raised concerns about the lack of experiments comparing this approach to mixuplabel smoothing which were addressed during the rebuttal by t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents elast an approach for longhorizon planning through samplingbased motion planning in learned latent spaces given a high dimensional observation images the approach first learns a latent re...	this work proposes a method to first learn a lower dimensional embedding via contrastive learning then learns a transition model and then utilizes a planner inspired from samplingbased motion planner literature to plan in this latent space from start to goal states a modelpredictive controller is harnessed to follow th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method dnd learns an augmentation policy to augment a target text dataset the augmentation policy is optimized to create difficult yet not too different examples from the original data to furth...	we appreciate the authors for addressing the comments raised by the reviewers during the discussion period which includes providing more experimental results to address the concerns we believe the publication of this paper can contribute to the important topic of data augmentation the authors are highly recommended to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study an interesting problem applying an algebraic proof system to certify the correctness of monte carlo estimators they proposed a verifiable randomized approximation scheme based on an arith...	reviewers collectively had relatively low confidence when reviewing this paper this is not surprising as the paper reads somewhat more like a theory cs paper rather than a typical ml paper even a theory one the main concerns seemed to be that the work is not super concrete and fairly speculative these seem like natural...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for unsupervised metalearning based on using a variational autoencoder vae the variational autoencoder model they use differs from the typical one in that it considers episodesp...	this paper addresses a method for unsupervised metalearning where a vae with gaussian mixture prior is used and setlevel inference taking episodespecific dataset as input is performed to calculate its posterior in the metatesting phase semisupervised learning with the learned vae is used to fast adapt to fewshow learni...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of hyper parameter tuning in the setting of differentially private training of machine learning models the paper first shows that the hyper parameters used to train a model an...	this paper tackles a problem at the intersection of automl and trustworthiness that has not been studied much before and provides a first solution leaving much space for a lot of interesting future research all reviewers agree that this is a strong paper and clearly recommend acceptance i recommend acceptance as an ora...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper at hand shows relations from selfsupervisedlearning eg contrastive learning and metalearning eg finetuning whereas the shown relationship is interesting its not that novel and i would even argue t...	this paper was borderline based on the reviews the paper points out an interesting connection somewhat known but not in this specific version and good experimental results however numerous reviewers raised concerns that the paper was lacking a comparison to prior work connecting unsupervised learning and metalearning m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to increase the latent space dimensionality of images by stacking the latent representation vectors as a tensor then convolutional decoder and encoder networks are used to map the origi...	the reviewers are in general impressed by the results and like the idea but they also express some uncertainty about how the proposed actually is set up the authors have made a good attempt to address the reviewers concerns
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new building block for gnns called gnn this building block trades of depth for width and involves multiple parallel regular gnn processing units using the gnn architecture the authors ...	the paper presents a new gnn architecture and provide interesting theoretical observations about the architecture the paper is quite promising and has several interesting insights however most of the reviewers believe that the paper is not ready for publication and can be significantly improved by a more formal and pre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the contribution made in the paper appears to be very specialised as im not very familiar with this topic it is difficult for me to judge the merit of contributions the main weakness of this work is the lac...	meta review the paper proposes networks for highd extreme value distributions the reviewers were generally happy with the paper and author response please account for reviewer comments in your final revisions
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors aim at solving an interesting problem for granger causality ie for different objectsenvironmentsspecific applications the causal graphs can be different but the causal relationshipsfun...	this paper tackles an interesting but specialized problem in causal discovery for multiple or multivariate time series the exact nature of the problem setup is not at all clear from the paper unless it is read very carefully and understandably confused at least one reviewer so if this is accepted the final version sho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work investigates molecule manipulation towards desirable properties by leveraging existing deep generative models the paper uses linear models trained on latent dimensions of an existing deep generati...	the reviewers find the work to address an interesting and important problem but have several critical concerns about its insufficient treatment of prior work in this area lack of novelty in relation to the body of existing literature
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies representation learning in the context of reinforcement learning and observes that under some noise assumption the linear spectral feature of corresponding markov transition operator can ...	the ac summarizes the major strengths and weaknesses of the paper pointed out by the reviewers with possible omissions and additions by the ac strengths 1 the paper makes an important observation that the linear mdp assumptions can be met when the true dynamics has additive noise 2 inspired by the theory the paper pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary and key claims this paper repurposes the balanced representation learning framework for estimating treatment effects originally proposed in shalit et al 2017 for the survival prediction setup the p...	summary this paper provides an approach for causal inference in observational survival dataset in which the outcome is of timetoevent type with rightcensored samples to this end the paper adapts the balanced representation learning approach proposed in shalit et al 2017 to the context of survival analysis the paper ad...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes ella a nystrm approximation as an alternative posterior predictive approximation for linearized laplace their method uses the ntkbased formulation of linearized laplace and improves over ...	this paper introduces an approach to accelerating linearized laplace approximations to bayesian neural network posteriors particularly considering prediction tasks by performing a nystrm approximation to the neural tangent kernel the reviewers all recommended acceptance eventually one reviewer was initially quite cri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript introduces a new benchmark named tweetnerd for nerd evaluation the proposed dataset is based on over 340k tweets from a 10 years time range and is publicly available with the proper licenses...	the authors release tweetnerd a collection of 340k tweets from a 10 years time range with the proper licenses for named entity recognition ner entity linking with true spans el and end to end entity linking end2end all reviewers appreciate that this is a largescale temporally diverse dataset with many advantages over e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an extension of the crossentropy method cem for optimisation that consists in an ensemble of multiple standard cem instances each one being optimised independently and the solution at ea...	this paper presents a decentralized version of the cem technique where an ensemble of cem instances run independently from one another and each performs a local improvement of its own sampling distribution the paper shows that the proposed technique can alleviate the problem of centralized cem related to converging to ...
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: summary this paper introduces a library that implements 1 infectious disease model and 3 agents in a gym environment the authors provide analysis for a covid19 lock down scenario using their library streng...	the reviewers agree that the contributions may not be relevant to the ml research community or perhaps are a poor fit for the venue but otherwise find the work potentially useful and addressing a timely topic because the paper focuses on a simulation environment for existing epidemiological models reviewers comment tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper contributions the paper proposes sswgan an adversarial generative model of video which proposes a new generator architecture along with splitting the training into multiple stages strong points of t...	this paper proposes a gan for video generation based on stagewise training over different resolutions addressing scalability issues with previous approaches reviewers noted that the paper is clearly written proposes a method that improves upon the dvdgan architecture by reducing training time and memory consumption and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in their submission the authors discuss an alternative learning rule to backpropagation called maximal coding rate reduction that was introduced recently in yu et a 2020 as far as i could tell as a nonexper...	this paper received borderline scores which makes for a difficult recommendation unfortunately two of the reviews were too short and thus were of limited use in forming a recommendation that includes the highscoring one which did not adequately substantiate its score there is much to admire in this submission reviewer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors combine several cryptographic techniques to create a federated systems that allows several entities to run classification against all the model held be the participants without revealing...	this work describes a system for collaborative learning in which several agents holding data want to improve their models by asking other agents to label their points the system preserves confidentiality of queries using mpc and also throws in differentially private aggregation of labels taken from the pate framework i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method clime to generate constrained explanations using lime the method relies on boolean constraints to dictate the sampling region for lime this approach offers a number of advant...	the authors present clime a variant of lime which samples from userdefined subspaces specified by boolean constraints one motivation is to address the ood sampling issue in regular lime they introduce a metric to quantify the severity of this issue and demonstrate empirically that clime helps to address it in order to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: after feedback i would like to thank the authors for careful revision of the paper and answering and addressing most of my concerns from the initial submission my main concern was clarity and now the paper ...	reviewers are in a consensus and recommended to accept after engaging with the authors please take reviewers comments into consideration to improve your submission for the camera ready
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes elimination rules that can be easily combined with existing fixedconfidence algorithms for pure exploration both for sampling and stopping strategies the benefits are improved performance...	this paper has initially received borderline scores the reviewers appreciated the general algorithmic framework and the high technical quality but some of them lamented the relative weakness of the contribution in particular the lack of hard improvements over existing results and pointed out that the presentation could...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a self supervision training approach to pretrain speech encoders this is related to recent work on wav2vec 20 and simclr the contrastive loss is similar to wav2vec 20 while the invari...	this paper proposed a selfsupervised speech pretraining approach by the name of spiral to learning perturbationinvariant representations in a teacherstudent setting the authors introduced a variety of techniques to improve the performance and stabilize the training compared to the popular unsupervised learning model ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel class of continuoustime diffusionbased generative models specifically the paper proposes forward diffusions that are simple forms of stochastic hamiltonian dynamics unlike the pre...	the paper develops a diffusionprocess based generative model that perturbs the data using a critically damped langevin diffusion the diffusion is set up through an auxiliary velocity term like in hamiltonian dynamics the idea is that picking a process that diffuses faster will lead to better resultsthe paper then const...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to repurpose classifiers trained using the normalized softmax loss function to novel classes by averaging the examples from the same previously unseen class to gain a new weight...	this paper tackles an openset setting where new classes with few labeled examples are introduced after the initial pretraining on different categories a simple approach is proposed based on a normalized softmax classifier and feature averaging to generate a classifier for the new categories results are shown on a few s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the contextual batched bandit setting and introduces the idea of imputation utilizing the nonexecuted actions in each batch this provides better regret properties than without and also f...	in this paper the authors consider a contextual batched bandit setting where they rely on imputationin order to estimated the nonexecuted actions in each batch even though the idea is quite ineteretsing and can lead to new methods there is still a lof of issues raised by the reviwers in particular part of the proof wa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 this paper proposes a treestructured multitask model recommender it takes as input an arbitrary cnn model and some predefined tasks and outputs the topk treestructured multitask architectures that achieve...	this paper proposes a recommender that given a convolutional model and a set of tasks proposes topk treestructured multitask architectures that can achieve high accuracy by figuring out where to branch so that the appropriate parts of the network are shared across tasks while adhering to a computational budget the revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper seeks to solve program translation problem through code retrieval it proposes an interactive code retrieval system called iptr to perform crosslanguage retrieval with minimum code pairs t...	i found the setup for this paper a bit contrived the tool is presented as a code translation tool but it really functions more as a multilanguage code search tool the idea is that one has a program in language a and a database that contains the same program in language b so one can translate from a to b simply by searc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to segment and decouple dynamic objects while recovering the static environment from a monocular video it adapts from nerf and its extension hyper nerf but with improved handlin...	this paper attacks an interesting problem with nerf decoupling moving objects including their shadows from the static background all four reviewers recommend accepting the paper and the weaknesses identified did not detract from substantive contributions therefore i am accepting this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a novel onpolicy temporally consistent exploration strategy named neural adaptivedropout policy exploration nadpex for deep reinforcement learning agents the main idea is to sam...	the authors have proposed a new method for exploration that is related to parameter noise but instead uses gaussian dropout across entire episodes thus allowing for temporally consistent exploration the method is evaluated in sparsely rewarded continuous control domains such as halfcheetah and humanoid and compared aga...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses a technique for continuous normalization flow in which the transformations are not required to be volume preserving the transformation with unity jacobian and architecture of neural net...	this paper proposes the use of recently propose neural odes in a flowbased generative model as the paper shows a big advantage of a neural ode in a generative flow is that an unbiased estimator of the logdeterminant of the mapping is straightforward to construct another advantage compared to earlier published flows i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of efficient offline rl in the multiagent setting marl that typically suffers from the curse of dimensionality as the number of agents grows they argue that transformers are id...	the paper presents theoretical results justifying the use of transformers in cooperative multiagent rl the authors demonstrate that with this choice of architecture suboptimality gaps grow independently of the number of agents the theoretical contribution seems strong with a more limited experimental evaluation the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper touches on the problem of evaluating the robustness of models to adversarial examples the proposed systematic evaluation protocol consists of 6 quantitative indicators of failure iofa and correspo...	first thank you to the reviewers and authors for an indepth discussion on the contributions and framing of this paper theres no doubt this paper was improved over the course of the rebuttal period and thank you again to the reviewers for having participated in a discussion to clear up the final points of this paper th...

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