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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 querybased blackbox adversarial attack that can only query a model with the class output the main consideration is to avoid sending very similar query points to evade the detection of ...	the paper proposes a novel blackbox attack aiming to fool a particular detector model all reviewers see problems in the claims the experiments etc and all argue for rejection the authors did not provide a rebuttal to clarify any of the questions of the reviewers thus this is a clear reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents lora a method aiming to improve the efficiency of finetuning large language models specifically it fixes the underlying pretrained model and learn lowrank by construction parameter matri...	this paper introduces a new method for finetuning large language models which is lightweight since it only adds a small amount of parameters while keeping the original parameters frozen the main idea is to add a low rank matrix which is learned during finetuning to the original weight matrices of the model which are fr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a regularization technique called svmax singular value maximization that can mitigate model collapse and enable large learning rates to reduce training computation costs the singular val...	the paper presents a new regularizer based on singular value decomposition in embedding space to avoid model collapse the reviewes liked the simplicity of the idea but there were some remaining concerns regarding the experiments moreover two reviewers mentionned some concerns with respect to the clarity of the paper wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new technique for learning over distributions of neural odes in a streaming fashion to capture both low and highdimensional system dynamics they are able to achieve significant impr...	all reviewers agree that this is an excellent piece of work that should be accepted i would echo their concerns about notationclarity various examples the distinction between mathcald and mathcald at the very start is not made clear until the very end of the paragraph which is the point at which a latent space is in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an unsupervised method for cardinalityconstrained combinatorial problems by building on previous work on soft topk through optimal transport ot the authors provide an enhanced soft topk f...	the authors propose a random perturbation on top of a soft topk operator that builds upon entropic regularized optimal transport when applied to a 1d problem the motivation of the paper is built around an approximation bound proposed in the xie et al 20 paper that compares the true ot matrix from the regularized ot mat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors characterize the conditions and provide supporting theoretical understanding and empirical observations of the conditions that gcns can achieve strong performance on heterophilous graphs streng...	heterophily is known to degrade the performance of graph neural networks this paper explores whether for graph convolutional networks gcns this is a general phenomenon or if there are some circumstances under which a gcn can still perform well in a heterophilous setting this paper characterizes one such setting under a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper is motivated to improve the explainability of vision inference results specifically they propose to measure the dependence between certain perturbation of regions of the input images and t...	the paper proposes a novel blackbox explanation method the proposed method uses hsic to measure the dependence between randomlymasked inputs and the corresponding outputs and identifies relevance patches based on the decomposition property the proposed method can also find interactions between patches experiments qu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the influence functionbased method can analyze the effects of addingremovingperturbating a single data point on parametric models using a linear approximation at the optimal point of parameters it was point...	all reviewers felt that this paper deserves to be accepted given its interesting analysis of an important problem and compelling empirical evaluations the authors should consider incorporating the reviewers comments particularly around motivating the pbrf as a gold standard and clarifying aspects of the presentation in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: introduces the concept of binary code box embeddings and theoretically shows that the proposed models have the expressive power to model arbitrary directed cyclic graphs empirical result suggests that the p...	this paper extends box embeddings to allow for them to represent directed graphs in particular the proposed binary box embeddings can represent cycles in graphs which was not previously possible the reviewers appreciated the introduction of binary box embeddings and felt the contribution was novel and elegant during th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests that most grasps datasets are biased towards large objects than small objects and as a result grasp planners compute more grasps on large objectsobjectparts and struggle to compute grasp...	the paper introduces a new method for 6d grasp detection from point clouds that can deal with smallscale objects the novelty of the method is on designing feature extraction and training sampling strategies that can handle smallscale objects in 6d grasp detection the experiments on the graspnet1billion dataset illustra...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a variant of the transformer network the authors base their work on their analysis of softmax attention they argue that softmax works well because of two reasons i it stabilizes training ...	this paper introduces a new linear attention mechanism for transformer based models this is accomplished by replacing the softmax in the standard transformer selfattention with a cosinebased reweighting mechanism the empirical results are good and cosformer generally outperforms existing efficient transformers for au...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work analyzes commonly used heuristics for training the supernet in weight sharing nas the authors first proposes a new metric sparse kendalltau to measure the quality of the supernet then extensive ex...	this paper presents an analysis of different tricks for training the supernetwork in nas while all reviewers see value in some of the many experiments all reviewers also have substantial criticisms of the paper and all reviewers gave weak rejection scores looking at the paper myself i agree with this assessment severa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the results showed the effectiveness of the method with encouraging speedup 2 using radiomic features to verify the image consistency is also interesting 3 comparing the proposed methods in different fp p...	nice work addressing practical problems that received positive remarks from both reviewers and authors have released source code i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes to learn functional distances to varying goals concurrently with a latent dynamics model from images a network is trained to predict the qvalue of state action pairs for a spar...	the rebuttal revisions and released code very successfully addressed all the major concerns the reviewers had pros the dynamics distance function is a very neat simple which is good in this case idea that is theoretically sound has proven to perform well in thorough experimental results and that can be broadly applied...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this work the authors seek to leverage external sources of data to improve the generalization of segmentation models in particular they seek to identify images which generate discordance among mo...	this paper studies how to efficiently expose failures of topperforming segmentation models in the real world and how to leverage such counterexamples to rectify the models the key idea is to discover most controversial samples from massive online unlabeled images the approach is sound well grounded and quite logical re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros proposed algorithm is highly flexible with the ability to transfer design changes over multiple times of design relationships and has the benefit of not requiring user annotations algorithm considers b...	all reviewers felt that this submission was over the threshold for acceptance there was a bit of a tendency towards the middle nobody offered crucial evidence that the paper cannot be published and nobody championed it either its also worth noting that none of the reviewers offered an especially high confidence rating...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study the identifiability of latent variables under observation of highlevel variables that are generated via a polynomial function the central result is identifiability of the latents up to aff...	the paper investigates the identifiability of latent causal representations in settings where the observed variables are polynomial transformations of the latent variables identifiability has not yet gotten enough attention in the causal representation learning literature and both reviewers agree that this work propose...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a metalearning approach for zeroshot learning there is a task module that works in a conventional zeroshot way training to predict a class prototype using the auxiliarytext data ...	this is a difficult decision as the reviewers are quite polarized on this paper and did not come to a consensus through discussion the positive elements of the paper are that the method itself is a novel and interesting approach and that the performance is clearly state of the art while impressive the fact that a relat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests that nonadaptive attacks lead to an overstate on adversarial robustness and thus the authors recommend using adaptive attacks as a goldstandard on gnn classifiers the adversarial structur...	the recommendation is based on the reviewers comments the area chairs personal evaluation and the postrebuttal discussion this paper provides novel insights into the effectiveness of various defenses proposed for graph neural networks all reviewers find the results convincing and valuable the authors rebuttal has suc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework that utilizes random walk positional embeddings rwpe as extra features to boost the performance of gnns in particular positional embeddings are updated as a separate forward ...	this work adds the positional encoding akin to those in transformers but adapted to gnns in their reviews reviewers raised a number of concerns about this work in particular lack of novelty lack of ablations to demonstrate the claims of the paper lack of comparison to previous work eg positionaware gnns graphormer and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a new gating based recurrent graph attention networks for multirelational graphs to capture longrange neighbor dependencies the authors provide an interesting analysis of c...	this paper proposes a gnn architecture for multirelational data to better address longrange dependencies in graphs the proposed grgat model is a variant of graph attention networks gat with among other modifications vectorbased edge type embeddings and grutype updates results are presented on aifb am and on synthetic b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method to learn an acoustic model for phoneme recognition with only the training input acoustic features and a pretrained phoneme lm this is done by matching the output phoneme sequenc...	this paper is about unsupervised learning for asr by matching the acoustic distribution learned unsupervisedly with a prior phonelm distribution overall the results look good on timit reviewers agree that this is a well written paper and that it has interesting results strengths novel formulation for unsupervised asr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i totally disagree with the authors that any of their observations are surprising indeed the fact that an rl agent does not generalizes to small modifications of the task either visual or in the dynamics is...	the authors have presented an empirical study of generalization and regularization in dqn they evaluate generalization on different variants of atari games and show that dropout and l2 regularization are beneficial the paper does not contain any major revelations nor does it propose new algorithms or approaches but it ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper raises the question of whether it is effective to conventionally use deep or heavy networks trained on imagenet dataset as backbone of a feature encoder for object detection instead it introduces...	three experts reviewed the paper two reviewers recommended acceptance as they liked that the work identified a legacy design in object detection networks and resolved it by a new module all reviewers found the empirical results strong reviewer mdn5 recommended rejection main for the concern that this newly designed mod...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes vae latent embeddings to extract subspaces that relate to pitch f0 and formant frequencies f1 through fn this is done through first training a framesynchronous isvae model from clean sp...	this work shows that the sourcefilter model of speech production naturally arises in the latent space of a variational autoencoder vae it is interesting that the fundamental frequency and formant frequencies are encoded in orthogonal subspaces of the vae latent space this opens up a possible way of easily controlling ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: dart is an extendedmano with rich texture diverse accessories and articulated wrist a synthetic data generator based on unity is built on top of dart to generat 800k synthetic samples with synthetic dataset...	four reviewers recommend acceptance and two recommend rejection some reviewers including an ethics reviewer vchw initially brought up issues with bias in skin tone but they felt that these issues were largely addressed in the revision reviewer utnz recommended rejection they raised concerns about the domain gap with fr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies offline datadriven model based optimization mbo where the goal is to produce optimized designs purely using a static dataset we proposed to view offline data driven modelbased optimizatio...	reviewers are all positively inclined for the paper most of them have stated that the paper proposes some novel and relevant ideas with theoretical support and empirical evidences of theirs soundness as such we think that the paper can be accepted to the conference and expect some revisions that would improve clarity o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new evaluation metric oumg to measure humanlikeness of machinegenerated text without reference the key idea of the method is to train a discriminator on both humangenerated texts as pos...	the authors propose a referenceless metric for evaluating nlg systems by training a discriminator which distinguishes between humangenerated and machinegenerated text the main concerns raised by the reviewers were i lack of clarity in certain portions of the paper ii lack of demonstration of the universal applicabili...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is looking at how to extract knowledge from cnns to help improve explainability and robustness against an adversarial attack it is using a known technical call mofn rules this problem of explai...	the presented paper introduces a method to represent neural networks as logical rules of varying complexity and demonstrate a tradeoff between complexity and error reviews yield unanimous reject with insufficient responses by authors pros paper well written cons r1 states inadequacy of baselines which authors do no...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to set up experience replay such that transitions are emphasized based on whether the an2n algorithm decides to explore more and how recent the transition was experienced it is based on o...	the paper proposes an interesting way of prioritizing samples in replay that is compatible with many rl methods it is evaluated experimentally on different tasks and with different rl algorithms the reviewers highly appreciated the revised paper and the detailed replies and discussions while this iteration improved th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: on margins and generalisation for voting classifiers in this paper the authors take a generalization bound for stochastic majority votes from prior work and show how to derive a new margin bound for majori...	all reviewers uniformly agree on the paper being interesting and worth publishing a very fine read while the authors have already uploaded an updated version of their paper with minor revisions i encourage them to use the cameraready version to carry further improvements taking into accounts all reviews
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses lebesgue transform to give the semidual brenier objective as the quantitative criterion for convex potential selection this criterion enables parameter tuning and model selection among entr...	while there were few misunderstandings the rebuttal successfully convinced all the reviewers that the paper should be accepted please take into account the reviewers comments in preparing the cameraready especially the ones concerning the clarity of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors attempt to provide a perspective on cca that is based on implicit distributions the authors compare and discuss several variants on cca that have been proposed over the years rang...	this manuscript proposes an implicit generative modeling approach for the nonlinear cca problem one contribution is the proposal of conditional mutual information cmi as a criterion to capture nonlinear dependency resulting in an objective that can be solved using implicit distributions the work seems to be well motiva...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops a multi sensory model that binds audiovisual features using a selforganizing binding learning layer that takes as input the latent layers of two separate autoencoders the binding is lear...	the submission introduces a model that does learning of multisensory representations by predicting one from the other with an autoencoder structure generally the reviewers liked the overall idea of the work but found the clarity lacking the evaluation insufficient and not particularly state of the art the requirement f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a loss regularization method for training vision transformer vit through matching the attention maps of vit with the activation map of a pretrained cnn the authors aggregate vits attenti...	four reviewers provided detailed feedback on this paper the authors responded to the reviews and i appreciate the authors comments and clarifications specifically that each questioncomment is addressed in detail additional experiments were also performed the authors also uploaded a revised version of the paper after t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies multiagent distributed optimization under general consensustype interactions between agents the main contribution of the paper is to study linear stochastic approximation in a multiagent ...	this paper studies a stochastic approximation framework for multiagent consensus algorithms driven by markovian noise in the spirit of the classical paper of kushner yin the authors main result is that modulo a series of assumptions some conceptual some technical the generated sequence of play reaches a consensus an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a metric to measure the difficulty of training examples and find that hard training examples influence the generalization of adversarial training and cause overfitting in adversarial tra...	the paper proposes a metric to measure the difficulty of training examples the main thesis is that hard training examples lead to bad test adversarial error there are theoretical results on simple models establishing such claims the paper also proposes a method to adaptively weight training examples to improve training...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on identifying and empirically verifying the ways that neural odes can be regularized towards improved generalization sparsity in weights and features are explored in particular where a n...	the paper proposes a new sparsity inducing regularization scheme for continuousdepth neural networks the reviewers acknowledged the relevance of the proposed method and generally appreciated the results the paper is nicely written and provides a range of interesting experiments demonstrating the effectiveness of the pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new method for gradientbased metalearning that allows for multiple steps of innerloop optimization while avoiding expensive backpropagation through these updates the proposal is based ...	this paper presents a variant of maml or reptile where the metaupdate along the long trajectory of the innerloop optimization is bypassed to reduce the computational overhead appeared in maml the main idea is to use the lookahed optimizer with careful tuning of relevant hyperparameters which is done by a teacherstudent...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel unsupervised scene decomposition model that infers object shapes appearances and 3d poses the benefits over existing models are the structured 3d object representations which all...	the paper proposes an approach for learning a decomposition of a scene into 3d objects using single images without pose annotations as training data the model is based on slot attention and nerf results are demonstrated on clevr and its variants the reviewers point out that the method is reasonable and the paper is q...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an original trick to tune the receptive field kernels for 1d convnets to tackle time series problems the strengths of the papers are as follow 1 the paper is well structured and easy t...	the paper presents a simple and effective solution to tune the receptive field of cnns for 1d time series classification the reviewers think the idea is original and elegant but would appreciate more theoretical insights into the solution
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies gnn robustness against homophily changes eg whether direct neighborhoods belong to the same class it proposes a spectral graph filter that only considers evenpolynomial signals so that it...	this paper proposes a simple and effective idea to only use evenorder neighbors to improve the robustness and generalization ability of spectral gnns it is based on the intuition that a friends friend is friend and an enemys enemy is also friend thus only using evenorder neighbors improves the generalization across dif...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose deep neural networks of infinite width the primary challenge in such networks is defining a distribution over the weights connecting two layers of infinite width the author...	the paper studies how to construct infinitely deep infinitewidth networks from a theoretical point of view and uses the results of its theoretical analysis to design a weight initialization scheme for finitewidth networks while the idea is interesting and the paper may contain novel theoretical contributions the experi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a reinforcementlearningbased model for aspectbased sentiment analysis the rl model trains an agent that tries to walk through the most effective path from the aspect target to determine ...	in this paper the authors proposed a reinforcementlearningbased model for aspectbased sentiment analysis as raised by the reviewers 1 the writing needs to be improved eg presenting the details of the proposed method clearly citing the references properly etc 2 related methods need to be implemented for comparison 3 the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes carlane a 3way simtoreal domain adaptation benchmark for 2d lane detection which encompasses the singletarget datasets molane tulane and the multitarget dataset mulane compensates for da...	the meta reviewer has read the paper rebuttal reviews and the authors revision the meta reviewer agrees with the reviewers that this lane benchmark is of interest to uda and the authors release the data tool and source codes to support their claimed contribution the meta reviewer thus recommends acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the implicit bias of neural architectures using a bayesian approach the paper provides bounds on the average population error of infinite width neural networks that fit the training set u...	this is an interesting paper aiming to further advance the knowledge of implicit bias in deep networks unfortunately the reviewers had many concerns about technical details and presentation one concern was about section 5 on margins and implicit bias oddly this section 5 does not cite the extensive literature on mar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a actually two solution for solving combinatorial puzzles such as sudoku or graph coloring by learning implicit constraints using only solved instances in a way that generalizes across t...	the reviewers were split about this paper on one hand they would have liked to see more experiments on different problem settings on the other they appreciated the elegance of graph encoding methods and current results after going through the paper and discussion i have voted to accept for the following reason the add...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summarizing the paper the paper proposes a method to construct a convolutional layer with the orthogonal jacobian matrix such a layer is 1lipschits this property is an important one for building robu...	the paper studies the problem of how to construct orthogonal convolutional layers it is known that a convolution layer is orthogonal if and only if its filters are obtained by certain fourier operations on an orthogonal matrix previous work proposes to learn this orthogonal matrix parameterized either through cayley tr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method appears to yield good results when reconstructed using elasticnet i appreciate the inclusion of all 32 test set reconstructions visually the impsiderc reconstructions generated with ela...	the paper received four reviews that at large agree on acceptance the revision including editorial changes regarding clarity and accessibility together with the inclusion of a careful ablation study satisfied most reviewers concerns the remaining concerns are with a limited dataset and choice of baselines which may be...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work aims at proposing a rationale extraction method that disentangles the rationale and nonrationale spans specifically apart from predicting the label from the rationale span the proposed method dare...	this paper presents an improved method for improving rationale extraction and model explainability the key insight is to disentangle rationale from nonrationale tokens in the input reviewers raised some fairly minor questions regarding the notion of disentanglement the proposed loss and experiments eg comparison with r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: updated score after rebuttal the pioneering work of pennington et al used free probability to predict the spectrum of the inputoutput jacobian the conditioning of this matrix is known to be important for t...	the main contribution of this paper is an algorithm to compute the spectral density of the free multiplicative convolution which appears in the expression of the jacobian of neural networks some concerns have been raised regarding the impact on a general ml audience reviewers pun2 and 1dwd and about the presentation of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of imitation learning from outofdynamics demonstrations since the demonstrators may have different dynamics than the imitator these demonstrations may not be useful to the le...	this paper studies an important problem of learning from multimodal demonstrations where multiple demonstrators have different dynamics than the imitator this is relevant to the robotics community though there were no real robotics experiments the reviewers found the work to be original and wellmotivated easy to follow...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores the intersection of abstraction induction language and behavior the goal of the paper is to instill humanlike inductive biases into neural networks in an attempt to improve generalizatio...	the submission explores differences in human and machine inductive biases using the task of generating a pattern in a grid the authors first show that models trained on human inputs generalize better to machine generated inputs than other human inputs suggesting that models lack the correct inductive bias however by ex...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed multibranch framework that integrates the information of frequency domain spatial domain and optical flow to detect video forgeries it also applies two of the most advanced model structures ie ...	the authors propose a new method for deepfake detection enst which relies on highfrequency information lowlevelshallow features and optical flow in particular efficientnetb5 is used to extract the high frequency info and shallow features and a swin transformer to capture discrepancies between optical flows empirical va...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper could use a more extensive engagement with prior research on nonvisual authentication mechanisms for accessibility eg azenkot cited but not extensively discussed beyond simply a passing mention or...	reviewers agree that this paper has the potential to bring an interesting contribution and that the research is mostly well executed there are some concerns expressed by reviewers mainly limited engagement with literature r2 and with prior work in terms of authentication types r2 r3 limitations of the study re baseli...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a gaussian copula embedding model to learn latent vector representations of items in a heterogeneous data setting the proposed model can effectively incorporate different types of observ...	this paper was a difficult case where numerical review scores might be in disagreement with several statements during the discussion phase and also with some of my comments below let me explain this in more detail all reviewers mentioned several strong points such as the general novelty of the concept of using copula...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main idea of the paper is using neural networks to provide starting hints to a program synthesizer that is based on genetic programming specifically the network predicts one or two lines that must be pr...	there are some interesting ideas in this paper but i agree with reviewers that without a comparison to existing work it is hard to place this work in its proper context the authors make several arguments in dismissing the need for sidebyside comparisons but i do not find these arguments convincing first the authors a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a novel metalearning framework that explicitly learns to generate noise to improve model robustness against multiple types of attacks the results indicate that the proposed...	this is a borderline case the paper seems solid although some of the numbers are likely incorrect because in some results tables in the appendix the error taken over all attacks is higher than for the best individual attack which should never happen the main contribution of this paper is to augment a standard adversar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper trains a sequence to sequence model in a large multitask setting and tests the models ability to generalize to unseen tasks zeroshot the crux of the contribution lies in the design of prompt setu...	this paper studies constructing text2text transformer models that are good at zeroshot task generalization via multitask learning over a diverse set of nlp tasks one main contribution of the work is to create prompt templates for various nlp tasks that are of different task formats such that all tasks can be framed int...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a method for unsupervised feature selection which is based on dynamic sparse training applied to an autoencoder with a single hidden dimension and trained with reconstruction loss the nu...	after the rebuttal and discussion all reviewers recommend acceptance of this paper to some degree the paper has benefited from a careful review by reviewer u347 and additional experiments and clarifications performed by the authors in response to the reviewers concerns all reviewers noted that the paper is clearly writ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: research on vision transformer s vits is heavy different from the prior investigations that focus on proposing vits structures this work focuses on image tokens and study how to effectively wipe out useles...	the paper presents an approach to select visual tokens in images and reorganize them for the object classification within transformers all four reviewers find the paper interesting and novel and they are also very positive about the experimental results the authors also addressed minor concerns of the reviewers success...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces avlen audiovisuallanguage embodied navigation in this setup an embodied agent aims to find the location of an audio event by navigating in a simulated 3d visual world by interacting wi...	the authors present a model for soundscapes that is able to request guidance from an oracle this requires that the agent know when to query the user oracle for help this sits somewhere between the work on oracle guidance and language instruction following ablations and comparisons are provided but do not fully explore...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: conformal prediction cp allows for the selection of a set of candidate answers guaranteed to contain the correct answer with some probability the authors propose two extensions to cp 1 to extend validity fo...	this paper presents an approach for conformal prediction where in its standard paradigm a set of prediction candidates is identified as opposed to a single one the authors advance the cp framework by presenting a rigorous methods that allows for a smaller set of admissable predictions with a covergae quarantee their f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a multiagent environment to develop and test theory of mind capabilities for agents the environment is one where all agents speak listen to and move around agents share information and th...	the paper introduces a theory of mind benchmark this paper certainly improved during the discussion period however the paper is still incomplete the authors are working related work paper was not updated in this regard the experiments still need significant work the original submission used only 3 runs very very low ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper present an extension of results obtained in the mid 90s by saad and sola who showed that stochastic gradient dynamic in the context of studentteacher learning of a one hidden layer network for ga...	the reviewers and i agree that the contributions of the paper are of interest and useful addition to the literature therefore i recommend accepting the paper please consider the reviewers comments when preparing the cameraready version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide a novel combination of known architectures to an important use case of reducing the density of required measurements in sensorfusion based temporal multiclass inference tasks this has i...	the authors propose a methodoloy for dynamic feature selection they use differentiable gates with an rnn architecture to select different subsets of features at each time point thus resulting in dynamic selection the reviewers agree that the idea is interesting and the method could be useful and i share their opinion...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a modification to differentiable neural computer called distributed associative memory dam that comprises of 1 multiple independent memory blocks and 2 association reinforcement loss ar...	after carefully reading the reviews and the rebuttal and after going over the paper itself im not sure the paper it ready for iclr i do believe there is a lot of useful content in the current manuscript and i urge the authors to keep working on the manuscript and resubmit it in due time my concerns are as follows a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a method for developing altruistic agents in a multiagent rl marl setting the core idea is that an altruistic agent in the absence of any further reward or goal information may try to ...	this work proposed a method for encouraging an agent showing altruistic behaviour towards another agent leader without having access to the leaders reward function the basic idea is based on the hypothesis that having the ability to reach many future states ie called choice is useful for the leader agent no matter what...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a backdoor benchmarking framework it includes several basic and current attacks and defenses that target a models integrity during the training phase of a model the paper includes evaluat...	this is a valuable benchmark on backdoors most reviewers argue for acceptance some strongly so with scores 7789 while only one reviewer gave a rejecting score that reviewer mostly questioned the relationship to trojanzoo and the authors discussed this comprehensively now that reviewer rpfc also was inactive during the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new method for constrained mdp the proposed method does not require primaldual formulation and is easy to implement given the availability of stateoftheart policy optimization solvers ...	all reviewers appreciated the main result in the paper which gives global optimality guarantee for constrained policy optimization for both tabular setting and ntk setting however there were a number of unclear parts of the paper reported by several reviewers assumptions hyperparameter tuning complexity dependence on ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a transformerbased generative model named anoformer to detect anomaly for time series in an unsupervised manner specifically anoformer combined the transformer model and the gan model by ...	this paper proposes a transformerbased gan method and a twostep masking mechanism for time series anomaly detection the proposed method is demonstrated on a variety of datasets after rebuttals both reviewer 73j5 and reviewer w6vq remained negative the main concern is the novelty and significance of the proposed metho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to perform the link prediction in knowledge bases by introducing a new scoring function and theoretically motivating their method the authors validate their proposed approach through sev...	this paper proposes a new scoring function for link prediction model that is based on a generative model for the knowledge graph based on a randomwalk model previously used for word embeddings the new scoring function as it is accompanied by the generative model provides interesting theoretical results that the reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a novel adversarial training method e2sad that relies on a twostep process for generating sets of two training adversarial samples for each clean training sample the first step i...	while the proposed method is novel the evaluation is not convincing in particular the datasets and models used are small susceptibility to adversarial examples is tightly related to dimensionality the study could benefit from more massive datasets eg imagenet
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a model to generate molecules using graph and geometric representations the method is tested against several relevant baselines on standard and custom datasets with a primary focus on che...	this paper proposes to generate 3d molecules using a step by step approach the reviewers raised major concerns on the experiments novelty writing and technical details the authors also were not aware of many of the important references part but not all of which have been included during discussions it is clear that thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an algorithm for auxiliary learning given a target prediction task to be learned on training data the auxiliary learning utilizes external training data to improve learning the authors f...	this paper proposes a framework for generating auxiliary tasks as a means to regularize learning the idea is interesting and the method is simple two of the three reviewers found the paper to be wellwritten the experiment include a promising result on the cifar dataset the reviewers brought up several concerns regardin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a new neural network training procedure designed for tabular data that seeks to leverage feature clusters extracted from gbdts strengths the idea of leveraging feature groups ...	all reviewers agree in their assessment that this paper has merits but is not yet ready for acceptance into iclr the area chair commends the authors for their responses to the reviews
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a robust bayesian deep metric learning framework against noise label inspired the blmnn wang tan 2018 deep metric learning hoffer ailon 2015 hu et al 2015 wang et al 2017 lu et al 2017...	reviewers have commented on the lack of novelty of the paper as it reads only as applying the variational inference framework of blundell et al 2015 to deep metric learning r2 and r4 furthermore the paper has not properly positioned itself when compared to previous works on deep variational metric learning and deep adv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a geometrydistortion constraint for the unsupervised imagetoimage translation for a better structural similarity between the source and the target which is deducted from the pixel correl...	this paper deals with unsupervised imagetoimage translation and proposed a geometric constrains for better structural similarity between the source and the target experiments are done using multiple gan frameworks and demonstrate reduction in distortions in the generated images the reviewers appreciated the contributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper starts by that observing the local minima obtained in a multi task scenario are connected with a linear path of low error regime to the local minima of each task in a continual learning scenario i...	the paper is presenting an important empirical finding when the learning algorithms are initialized with the same point the continual and multitask solutions are connected by linear and lowerror paths motivated by this finding the paper proposes a new continual learning algorithm based on path regularization the paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main contribution of the paper is to introduce and study generalized fenchelyoung losses which are losses for regularized energy networks that mirror fenchelyoung losses but where the euclidean inner pr...	this paper introduces a new notion of regularized energy function using generalized fenchel conjugates reviewers were leaning towards accept the least convinced reviewer discussed at length with the authors the contribution of the paper and the comparison of the proposed method to prior work and leaned also towards ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper adopts knn to enhance the efficiency of active learning for heavily skewed data sets up to 10 billion scale the proposed algorithm is evaluated extensively by a large number of experime...	the paper proposed an active search algorithm for efficiently identifying rare concepts among heavily imbalanced datasets reviewers find the paper very wellmotivated and addressing an important realworld challenge in active learning all reviewers appreciate the extensive demonstration of the effectiveness of the propos...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a entity proposal network for named entity recognition which can be effectively detect overlapped spans the model obtain good performance on both multigrained ner task and traditional ne...	the authors present a method for fine grained entity tagging which could be useful in certain practical scenarios i found the labeling of the conll data with the fine grained entities a bit confusing the authors did not talk about the details of how the coarse grained labels were changed to fine grained ones this de...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work extends the results of polson and rockov 2018 on the minimax contraction rate of bayesian relu network from the hlder space to the more general besov space such result brings more freedom to the u...	this work conducts novelty study and extends the results on asymptotic convergence of bayesian relu networks from the hlder space to the more general besov space the reviewers consider it a strong theoretical results closing a gap for posterior contraction of bnn in besov spaces the authors feedback addressed a few c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel concept of sample robustness which is used to find tailored trainingsubsets and hyperparameters depending on the robustness distribution of the testsubsets for boosting model per...	the paper proposes sample robustness a datadependent measure which is essentially a pointwise lipschitz constant of the label map the measure is used to choose a subset of training data for training and it measures how small of a perturbation is required to cause a label change wrt label map initially the paper lacked ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a heuristic method to detect periodicity in time series it extends a previous approach in dealing with noise and the setting of multiple periodicities the topic does not match the scope...	this paper presents an heuristic method to detect periodicity in a timeseries such that it can handle noise and multiple periods all reviewers agreed that this paper falls off the scope of iclr since it does not discuss any learningrelated question moreover the authors did not provide any response nor updated manuscr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the approach described in the paper uses a relatively complicated architecture with multiple losses and a very processed training set but it achieves strong results when compared to two of the most similar ...	the paper considers the problem of learning to imitate behaviors from visual demonstrations without access to expert actions consistent with recent approaches the proposed method uses a neural network to measure the similarity between visual demonstrations and the agents behavior and employs this metric as a reward in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a distributional actor critic framework gmac based on gmm actor critic and cramer distance authors introduce sr a distributional version of the return algorithm and to minimize the crame...	the paper proposes a distributional perspective on the value function and uses it to modify ppo for both discrete and continuous control reinforcement learning tasks the referees had noticed a number of wrongmisleading statements in the initial version of the submission and the ac had also pointed out several problemat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper focuses on the problem of semantic segmentation across domains the most standard setting for this task involves real world street images as target and synthetic domains as sources with images prod...	the paper proposes an unsupervised domain adaptation solution applied for semantic segmentation from simulated to real world driving scenes the main contribution consists of introducing an auxiliary loss based on depth information from the simulator all reviewers agree that the solution offers a new idea and contributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops techniques systems and models to leverage conditional computation greatly scaling model size while only requiring sublinear computation with respect to model size as a result a sparsely...	this paper is a study of neural network scaling with models containing hundred of billions of parameters to that end the paper introduce a new module called gshard consisting of annotations apis on how to split computations across accelerators which is integrated in the xla compiler this enables the training of models ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a benchmark challenge on mouse brain mri data the three tasks consist of macrolevel region classification pixellevel microstructure classification and estimation of semantic features the...	this paper introduces an mtneuro benchmark on a large 3d xray microtomography imaging dataset that encompassed multiple brain areas three tasks are designed covering a wide range of scale from pixel level to the whole image regions and various supervised as well as selfsupervised algorithms are evaluated on the establi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: first of all i want to thank the authors to notice and study the quality of reviews in iclr quality the authors put a lot of effort in collecting and cleaning the data which is not easy the authors did th...	reviewers appreciated the care and substantial effort that went into the paper for instance ar3 i think its of good value for the community to see and discuss the paper in the conference ar4 would be quite valuable for the senior members of the community to read and be familiar with the main argument for rejection is ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the temporally factorized 3d convolution 3tconv as an interpretable alternative to the regular 3dconv in a 3tconv the 3d convolutional filter is obtained by learning a 2d filter and a se...	the reviewers had a number of concerns not state of the art recommend analysis and comparison with 1 temporal shift module writing needs to be improved appreciate the motivation for the paper but needs more extensive experimentation need larger scenerelated datasets we hope you find the reviewers comments helpful as...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper applies a goodness of fit test ks test to the latent space of normalizing flows for purposes of outofdistribution detection to combat highdimensionality and model misspecification extensions suc...	the paper investigates the use of flow models for outofdistribution detection the paper proposes to use a combination of random projections in the latent space of flow models and onesample twosample statistical tests for detecting ood inputs the authors present results on image benchmarks as well as nonimage benchmark...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a method to guide exploration that prefers to go to areas of the state space for which it is more uncertain this uncertainty is obtained by measuring the standard deviation of the next s...	after reading the metareviews and the authors comment the metareviewer thinks the paper is not ready for publication in a highimpact conference like iclr the paper is not well positioned with respect to the literature and the proposed techniques are not well discussed in relation with predominant paradigms like optimis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of learning asynchronous multiagent policies with macroactions the authors present a set of asynchronous multiagent actorcritic methods in order to solve the problem which allo...	the paper provides an asynchronous method for multiagent actorcritic with macroactions a major contribution of this paper is the integration of the macroactionvalue from the qvaluebased macroaction marl method into multiagent policy gradient although it appears an interesting contribution reviewers found that several p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a study of the application of some well known methods on 9 datasets focusing on the issue of catastrophic forgetting when considering a sequential learning task in them in general the pr...	this paper has two main contributions the first is that it proposes a specific framework for measuring catastrophic forgetting in deep neural networks that incorporates three applicationoriented constraints 1 a low memory footprint which implies that data from prior tasks cannot be retained 2 causality meaning that dat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: s1 a theoretical method with proof is proposed in hypercomplex space to improve knowledge representation s2 several techniques are presented to make the proposed method work s3 the experiments seem quite go...	meta review the negative review is about 1 unclear writing and 2 lack of experimental analysis both of them are addressed by the authors in response ac agrees that the paper requires substantial revision before publication ac recommends acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses importance sampling in sgd to improve performance the importance sampling procedure is new however there have been many similar works in the past and this papers results maybe very increment...	the reviewers and ac all find the presented approach interesting and promising however as pointed out in the reviews and as the authors recognized the strongly convex smooth objective setting considered is limited given the prevalence of nonconvex settings in many practical applications and the rich related literatu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper focuses on how to generalize gnns to graphs of different sizes in graph classification previous works either add an adhoc strategy or require access to test graphs in this work the authors propose...	this work proposes a regularization approach based on graph coarsening and alignment to allowing graph neural networks to generalize across different graph sizes the approach proposed here is simple yet shown to be effective while the reviewers had some concerns regarding this paper and the results in it these were all...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is about the design and analysis of policy optimization algorithms that provably converge to a nash equilibrium at a sublinear rate for a class of zero sum markov games which are one of the simpl...	the paper shows that a form of fictitious selfplay converges to the nash equilibria in markov games understanding the theoretical properties of fictitious selfplay is important however the paper in its current form is not ready for publication the paper needs a more thorough discussion on related works the assumptions ...

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