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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update following author response and reviewer discussion i would like to thank the authors for providing a response and in particular for providing further justification for their injectivity assumption ho...
the reviewers agree that this is an interesting and promising paper although it is on the theoretical side without even satisfying toy examples to demonstrate its usefulness this itself is not a fatal problem iclr can and should welcome theoretical papers however including such experiments would significantly strengthe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: postdiscussion update i would like to thank the authors for addressing albeit partially my comments as well as the comments from other reviewers while i understand that some connections can be made between...
the paper argues that gnns can be understood as a graph signal denoising while this interpretation is not surprising and not novel the unified view does seem insightful according to some reviewers yet it is not clear how much insight can be drawn from the presented theory as no significantly better architecture or expe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission presents an algorithm that renders adversarial image examples for neural networks robust against discretisation and compression artefacts my main issue with this paper is the framing the aut...
the authors present an algorithm that addresses the effects of storing and transmitting images on the quality of adversarial examples the reviewers find that although it is an interesting concept this work has significant issues that limit its scientific value for example all reviewers find that the claim that compress...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a framework for learning an rl policy that performs well in the real and enjoys performance and safety guarantees to achieve this this paper proposes a framework called simtolabtoreal wh...
the paper is wellwritten and of high quality the proposed method is wellmotivated and throughoutly justified both theorectically and empirically please consider the comments from the reviewers in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discussed the convergence of the gradient flows of twolayer neural networks while they claim the convergence of nonconvex gradient flows to global optimum which is different from existing works t...
the papers makes progress on the important question of implicit bias in gradient based neural learning remarkably they derive reasonable conditions for global optimality
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors investigate the train and test error of deeponets as a function of the number of parameters on the pendulum problem they empirically show that the double descent phenomena observed with eg deep ...
the paper considers an interesting architecture deeponets recently proposed for solving dynamical equations and the authors investigate the double descend phenomena for this setting on the pendulum problem the work has potential to be an interesting contribution to statistical learning theory in the context of dynamica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the expressive power of symmetric neural networks used to compute functions on sets specifically relational networks and deepsets architectures an exponential separation result is given wh...
four domain experts recommended acceptance for this paper and i agree with their assessment the writeup presents its setup result and argument all very clearly the width separation result is solid and characterizes an exponential gap in expressive capacity between two material neural net architectures reviewers agree t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to use mixture of experts for image clustering the individual expert for each cluster adopts an instance discrimination approach for training the proposed method has shown superior clus...
thanks for your submission to iclr this paper considers a novel unsupervised image clustering framework based on a mixture of contrastive experts framework most of the reviewers were overall positive about the paper on the positive side they noted that the paper had an interesting idea was well motivated written wel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposed a simple but powerful idea of assuming a linear decomposition structure of the centralized critic into individual critics it demonstrated 2 existing problems in the baseline mapg...
the paper presents a decomposition of the value function in the context of ccda most reviewers find this paper clear and well written although one reviewer suggests to change the paper structure the method presented in this paper is simple and well justified by a theoretical section experiments on several domains inc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepin this paper the authors consider the question of how to explain model uncertainty in terms of the input features whereas prior work eg clue uses a counterfactual approach the authors develop an attr...
the paper explores a method to identify features in an input that can explain uncertainties in the model prediction the proposed approach is similar to integrated gradients igwith a different explanation target and integration path overall the idea seems fairly incremental and the experimental evaluation is lacking and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper summarizes previous lifelong learning methods and identifies three different continual learning scenarios based on that it draws a conclusion that dgrdistill outperforms other methods on all thes...
the authors have proposed 3 continual learning variants which are all based on mnist and which vary in terms of whether task ids are given and what the classification task is and they have proposed a method which incorporates a symmetric vae for generative replay with a class discriminator the proposed method does work...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes the problem of discovering and acting on selfexplaining deviations seds when two or more agents are cooperating in a turntaking environment such that one agent can deviate from its expe...
the reviewers carefully analyzed this work and agreed that the topics investigated in this paper are important and relevant to the field all reviewers generally shared a positive impression of this work one reviewer mentioned as possible limitations the lack of theoretical analyses and more empirical evaluation they al...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a new vqgan model with three improvements spatial normalization of the quantized vectors maskgit for quicker autoregressive reconstruction and multichannel feature quantization they s...
the three reviewers had significantly diverging final opinions strong accept borderline accept and weak reject the authors addressed many of the concerns in their rebuttal i read the paper carefully and i agree with the concerns from one reviewer about why the improvements in stage1 do not lead to significant improveme...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work aims at accelerating pretraining by leveraging the contextual embeddings for the rare words it is argued that the inadequate training of rare words slows down the pretraining the authors then prop...
the authors propose an approach for pretraining that involves taking notes on the fly for rare words the paper stirred a lively discussion on the reasons for the reported results which the authors followedup with new experiments and findings that convinced the reviewers that indeed their approach is valid and interesti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an adversarial extreme value analysis aeva framework to detect backdoors in blackbox neural networks specifically they first obtained a new upper bound backdoor detection formulation by ...
this work proposed to detect backdoor in a blackbox manner where only the model output is accessible most reviewers think it is a valuable task and this work provides a novel perspective of using adversarial perturbation to diagnosis the backdoor some theoretical analysis for linear models and kernel models are provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review for manifold regularization with gans for semisupervised learning summary the paper proposed to incorporate a manifold regularization penalty to the gan to adapt to semisupervised learning they appro...
the paper proposes a method to perform manifold regularization for semisupervised learning using gans although the ssl results in the paper are competitive with existing methods r1 and r3 are concerned about the novelty of the work in the light of recent manifold regularization ssl papers with gans a point that the ac ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have proposed a wellmotivated contrastive learning method for solving goalconditioned rl tasks thus removing the need for any auxiliary losses or data augmentations for representation learning t...
how to design rl algorithms that directly acquire good representations this paper gives an answer that contrastive representation learning can be cast as a goalconditioned rl using the inner product of learned representations the technical novelty of this paper is sound with the thorough theoretic motivation of the pro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors show how model multiplicity ie different models which have similar test set performance can result in explanation multiplicity using shapely values for feature importance often models that are ...
this paper introduces the notion of explanation multiplicity the authors first show how explanations can vary for models with similar performance on toy examples and theoretically in the linear case they demonstrate that model multiplicity can have noticeable effects on the explanations using shapley explanations this ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript proposes a novel architecture with a slotbased decouplingaggregation framework for unsupervised sequence prediction the model is motivated by preventing spatiotemporal mode collapse which aff...
the paper presents a novel architecture modernn for unsupervised video prediction by learning spatiotemporal attention in the latent subspace slots modernn effectively learns modular features using a set of mode slots and adaptively aggregates the slot features with learnable importance weights the paper has promising...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strengths the results are presented clearly and intuitively the connection and explanations provided via ordinary linear sems is much appreciated similar to verma constraints for admgs the results on equ...
the authors study causal identifiability for linear hawkes processes by casting the processes into a linear sem under appropriate assumptions and provide the identification results for linear hawkes processes using the existing results for linear sem the reviewers appreciated the contribution as well as the quality of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for adversarial attacks on dnns strattack designed to exploit the underlying structure of the images specifically incorporating groupsparsity regularization into the generation ...
this paper contributes a novel approach to evaluating the robustness of dnn based on structured sparsity to exploit the underlying structure of the image and introduces a method to solve it the proposed approach is well evaluated and the authors answered the main concerns of the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the lastiterate analysis to dpsgd on strongly convex and smooth loss functions the main contribution compared the similar analysis gd is to take two kinds of amplification into account 1 ...
this work shows that for strongly convex and smooth loss functions running dpsgd has a privacy cost that stops growing at some point the answers a question that has been open and is of significant theoretical and practical interest they show empirically that this new result can allows one to get better privacyaccuracy ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose zorro a posthoc explanation method for node classification with graph neural network architectures zorro leverages ratedistortion theory to generate masks that select nodes in the target...
the paper provides a simple approach to explaining gnn predictions for each node by greedily selecting nodes or features in each computation graph so as to increase the fidelity score the fidelity score is based on comparing the original gnn output to what is obtained with noisy versions of the masked nodesfeatures whi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe the construction of a 16tb multilingual text dataset purposely built for training large language models the work has been valuedriven and is inclusive of diverse language families and m...
this paper describes the creation of the bigscience corpus used to train the bloom model the paper describes steps taken to curate and construct the corpus as well as analysis of what it contains this is an impressive effort and blazes a trail among such data collection and governance efforts reviewers appreciate the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors combine numerous automatic music transcription datasets to devise a training framework they train an offtheshelf t5 architecture on the combined data and outperform the current stateoftheart rep...
this work concerns automatic music transcription amt transcribing notes given the audio of the music the paper demonstrates that a single generalpurpose transformer model can perform amt for many instruments across several different transcription datasets the method represents the first unified amt model that can tran...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to train faultaware neural code rankers i would prefer to call them classifiers that can predict the correctness of sample programs without executing them using unit tests the rankers ar...
the paper was wellreceived the main idea is fairly simple but the problem is important and the writing and empirical evaluation are solid based on the reviewers advice i am recommending acceptance please make sure to incorporate the reviewer feedback into the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the use of channel suppression in improving robustness to adversarial examples the authors make a convincing illustration in section 3 on how adversarial examples tend to activate more ch...
this paper focuses on two new characteristics of adversarial examples from the channelwise activation perspective namely the activation magnitudes and the activated channels the philosophy behind sounds quite interesting to me namely suppressing redundant activations from being activated by adversarial perturbations th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors investigate whether a pretrained model can be enhanced when pretraining data are used during finetuning they develop an approach that performs data selection to choose an appropriate portion of ...
the paper studies reuse of source data originally used for pretraining in the finetuning phase due to the difference between source and target data use of the entire source data for finetuning can degrade generalization for the target task however the paper shows that by carefully choosing a subset of the source data t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a new large scale dataset of aligned midi and audio from real piano performances and presents experiments using several existing stateoftheart models for transcription synthesis and gen...
all reviewers agree that the presented audio data augmentation is very interesting well presented and clearly advancing the state of the art in the field the authors rebuttal clarified the remaining questions by the reviewers all reviewers recommend strong acceptance oral presentation at iclr i would like to recommend ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper extends the method and theories from 1 below to the case of multiple sources it is nice to have theories for the generalized case of multiple sources experiments are also good validating their met...
meta review this paper proposes a method for multisource domain adaptation the basic ideas is aims to find simultaneously an optimal transportbased alignment between the source and target distributions and a reweighting of the sources distributions the method is an elegant extension of previous work with interesting t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work builds on the previous work1 and extends it for a more general scenario where per sample intermediate distribution shift is hard to quantify they propose gradual feature interpolation for the case...
most reviewers agree that the paper addresses a relevant problem however they also believe that the paper lacks in several points notwell supported claim sometimes clarity incremental in term of novelty
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work provides a clear explanation for the relationship between normalizations and adversarial transferability which further inspires the authors to propose a random normalization aggregation method whe...
this paper intrdouces the relation between normalizations and adversarial transferability and proposes a method using random normalization aggregation for enhancing adversarial robustness three reviewers agreed with the interesing idea thorough expreiments theroetical analysis and the effectivess so they gave acceptan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is an interesting paper that seeks to propose novel machine learning methods to extract information within continuous and infinite fidelities to bolster the prediction accuracy the key novelty here is ...
the paper tackles the multifidelity simulation problem by modeling the grid variation with node coupled with a gp experiments on multiple physical simulators show better performance compared to baselines please also report computational efficiency and sample complexity in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper targets at developing new dfa method to replace bp for neural network model optimization in order to speed up the training process the paper is generally written clearly and relatively easy to fo...
this paper proposes a training algorithm for convnet architectures in which the final few layers are fully connected the main idea is to use direct feedback alignment with carefully chosen binarized 1 weights to train the fully connected layers and backpropagation to train the convolutional layers the binarization red...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 for theorem 1 as the reviewer understands it for an optimization problem whose only critical point is a strict maxima it only has four outcomes which are listed in the theorem the result seems quite int...
this paper presents a series of negative results regarding the convergence of deterministic reasonable algorithms in minmax games the defining characteristic of such algorithms is that a the algorithms fixed points are critical points of the game and b they avoid strict maxima from almost any initialization the authors...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a single imagebased manipulation method deepsim using conditional a generative model the authors addressed this problem by proposing to learn the mapping between a set of primitive repre...
the reviews are a bit mixed while all the reviewers feel that the paper proposed an interesting mechanism to train conditional generators from a single image and demonstrated good image editing results in the experiments there are also common concerns about the practicality of the proposed method for interactive image ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work attempted to extend the sliced wasserstein distance to be the convolution sliced wasserstein distance by replacing vectors with tensors and radon transforms with convolution operators respectively...
the paper presents a new slicing methods for the wasserstein distance between probability measures over images based on convolution operators this way memory requirements can be reduced and locality can be better preserved experiments are conducted on generative modeling problems reviewers noted that the idea of convol...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper authors have introduced an overfitting phenomenon that has not been addressed in previous works related to policy optimization and importance sampling they then propose a new constraint on pol...
in this paper the authors proposed an offline policy optimization algorithm motivated by an analysis of the upper bound error of importance sampling policy value estimator specifically by the decomposition of the error in a particularly way the authors identified some error which does not converge then the authors intr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper propose music an rl algorithm for learning controllers in a unsupervised way they key idea of the proposed algorithm is to separate the state of the robot like joint angles from the state of the e...
the paper introduces music a method for unsupervised learning of control policies which partitions state variables into exogenous and endogenous collections and maximizes mutual information between them reviewers were uniformly positive agreeing that the approach was interesting and wellmotivated and the experiments c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is focused on predictive multiplicity predictive multiplicity is when all the models in the rashomon set set of models with similar performance statistics on the test set have different prediction...
the paper presents a new metric for predictive multiplicity which is the tendency of different models from a hypothesis class with similar overall performance to make different predictions on individual samples predictive multiplicity is relevant to fairness and interpretability of ml models the paper also presents ana...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors consider quadratic network games with payoff functions of the form jixixi alphai xi xi22 sumnolimitsj1n xi xj where alphai0 denotes the marginal benefit of the ith player from...
in this paper the authors consider linear quadratic network games also known as graphical games and they discuss a number of conditions and procedures to learn the underlying graph of the game from observations of bestresponse trajectories or possibly infinite sets thereof in the game the reviewers initial assessment ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work tackles the task of 6d pose estimation for novel objects given prior observations of a single object of the same category where multiple rgbd images from known relative poses are available for bot...
reviewers felt positively that the proposed task is important and challenging and the proposed method is reasonable the reviewers also felt that the results are very nice the dataset used for evaluation is challenging the performance is better than baselines in terms of speed and accuracy the results show nice gene...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: first of all i believe the paper is looking into a very important question that attracts lots of attention recently the set of techniques proposed in the work are also reasonable and practical where the pro...
compressing bert is a practically important research direction our main concern on this submission is on its practical value comparing with mobilebert in the literature nasbert does not show advantages on any aspect latency prediction performance or model size less important while being much more costly to build becaus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i am putting weak accept because i think the paper addresses an important problem domain adaptation and has an interesting approach as the other reviewers pointed out its maybe not super novel but its st...
the authors propose a method for lowresource domain adaptation where the number of examples available in the target domain are limited the proposed method modifies the basic approach in a cyclegan by augmenting it with a content taskspecific loss instead of the standard reconstruction error the authors also demonstrate...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose examining the certainty of neural network predictions for a variety of neural networks that are aimed at solving differential equations while the idea and concept is indeed interesting ...
this paper considers the important problem of uncertainty quantification for differential equation solvers the work has been selected as a poster for the workshop the authors may consider this opportunity to address comments made by reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a modification over linear chain crf models such that the output space of the model is constrained to be in a regular language linear chain crfs use markov assumption where a given output...
this paper does as its title suggests it introduces an algorithm for constraining a crfs output space to correspond to a prespecified regular language the authors build upon a wealth of prior work aiming to enable crfs to capture particular nonlocal dependencies and output constraints and present a coherent general alg...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new dataset with several benchmark models the goal of the dataset is to learn physical understanding where the physical understanding is measured by the modelshumans ability to predict ...
the paper proposes a challenging dataset to learn physical understanding along with several benchmark models the paper is very wellwritten and the reviewers agreed that the paper should be accepted the physical understanding of the world is a very fundamental problem in ai research this paper proposes a set of challe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors produce a framework and metrics for comparing three visual search models and use these to identify differences between the approaches they adapt the ideal bayesian searcher model to allow it to ...
there are extensive discussions between authors and reviewers the authors have done an excellent job addressing the raised issues during the rebuttal phase as such reviewers raise the scores overall there is sufficient support to accept this paper from the reviewers the authors should include the replies to reviewers a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors revisit the problem of multiclass classification and propose to use pairwise similarities more accurately what they use is the cooccurrence pattern of labels instead of node labels...
this paper provides a technique to learn multiclass classifiers without multiclass labels by modeling the multiclass labels as hidden variables and optimizing the likelihood of the input variables and the binary similarity labels the majority of reviewers voted to accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: contribution using a known parameters crystallography simulator xray beam structure being analyzed environment crystalline or not built a dataset called diffranet of 25000 512x512 grayscale labeled images...
reviewer ratings varied radically from a 3 to an 8 however the reviewer rating the paper as 8 provided extremely little justification for their rating the reviewers providing lower ratings gave more detailed reviews and also engaged in discussion with the authors ultimately neither decided to champion the paper and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method is interesting and well explained authors carefully present enough mathematical and algorithmic details to make the proposed method highly reproducible authors present both quantitat...
the paper proposes a graph convolutional network that simultaneously operates on two interdependent networks namely structural and functional brain connectivity networks this is both relevant and challenging the paper is well written and presents supporting experiments there is some criticism of the experiments for not...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a method for code editing from few examples it allows to automatically generalize code edits from few support examples via adaptive multiextent composition the approach is evaluated on...
this paper proposes learning to make stylistic code edits semantics remains similar based on information from a few exemplars instead of one the proposed method first parses the code into abstract syntax trees and then use the multiextent similarity ensemble this was compared to a graph2edit baseline on c fixer and pyf...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: c1 open set learning which is a task of classificing data over the known categories but that are ood is widely studied in 2d in contrast there were no 3d dataset or benchmarks that attempt to solve the ope...
this work for the first time proposes to study the task of open set 3d learning for 3d point cloud data the authors have conducted extensive experiments under different settings with varied category semantic shifts and provided comprehensive experiments benchmarking the popular methods from 2d open set learning which l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: proposes to use bert style masked language modeling to amortize inference across assignments of variables in probabilistic programs particularly stan programs this learning of an inference network a across ...
this paper proposes a novel and interesting perspective on leveraging large masked language models as ways to initialize posterior distributions across probabilistic programming language ppl tasks the idea is that this distribution can later be fine tuned over different probabilistic programs all reviewers acknowledge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: response to authors the authors have largely responded well to my original concerns however after reading through the discussions with other reviewers i agree with reviewer 2 that more work is required to ...
we thank the authors and reviewers for engaging in a detailed and constructive discussion and providing a revised version of the paper after the initial round of reviews regarding quality the work is technically correct and the amount of experiments significant however as highlighted by reviewers 2 and 3 some importan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new pseudodistance called the spherical slices fused gromov wasserstein distance ssfgw it builds on top of the slices fused gromov wasserstein distance sfgw that takes a weighted combin...
this is a solid paper that proposes a new slicing approach to the fused gromov wasserstein distance using projection on directions sampled from vonmises fisher direction the location parameter of the von mises fisher is choosen to be maximally discriminating between the distribution maxepsilonmathbbethetavmfthetaepsi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the vertexweighted online bipartite matching problem where the online vertices arrive in two batches in the first batch along with the neighborhoods of all vertices of the first batch th...
the paper studies two stage matching with advice and completely characterizes the tradeoff between the robustness and consistency the online matching problem is a central problem in online algorithms with numerous applications such as assigning jobs to machines impressions to advertisers etc the model studied here is a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in various machine learning problems which can be formulated as a bilevel optimization problem and solved using gradientbased methods the computation of hypergradients is necessary however the involved inve...
the paper considers the setting of bilevel optimization and proposes a quasinewton scheme to reduce the cost of jacobian inversion which is the main bottleneck of bilevel optimization methods the paper proves that the proposed scheme correctly estimates the true implicit gradient the theoretical results are supported b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a theoretical analysis bounding the difference between a kernel dynamics of finite width network trained for time t with a finite set of samples and the ideal infinite width ntk kernel...
this paper focuses on theoretically bounding the difference between a finitewidth network in a finite sample size regime and the corresponding kernel dynamics in finite width and finite data regime for various neural network architectures using the spectrum of the ntk they provide some insights into the spectral bias o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: updates the author addressed my concerns about the experiments though the improvement is marginal and i still have some concerns im ok to accept the paper ill change my score to 6 summary the paper studie...
this paper improves on previous work advbnn with hierarchical variational inference it observes that meanfield vi training for bnns often result in closetodeterministic approximate posterior distributions for weights which effectively makes the bnn closer to deterministic neural network thereby loosing the robustness a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work aims to propose an algorithm and theoretical analysis for learning from the label proportion problem where the labels are given in aggregated form as a proportion of true labels in a bag of featur...
all of the reviewers found the theoretical results in this paper novel and significant in particular the main contribution of the paper which is the new sdp relaxation appears to be nontrivial and interesting however there remain concerns about readability of the paper as outlined by one of the reviewers and we request...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers using predictions to improve algorithm running time via warm start as in the recent work due to dinitz et al 2021 the authors propose a framework based on discrete convex analysis whic...
in this paper the authors provide new theoretical guarantees for augmenting algorithms with learned predictions based on discrete convex analysis dca they generalize previous results of dinitz et al and obtain better time complexity bounds for a number of online problems the application of dca to online algorithms with...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: standard distances or dissimilarity measures are too often used regardless of the specific nature of the data this paper deals with small count data and opens the way to use novel dissimilarity measures mo...
meta review accounting for the presence of many zeros in dimensionality reduction for count data is an important topic the ac and reviewers all agree that this paper makes some pertinent contributions to that problem for such contribution to be fully clear and impactful we strongly urge the authors to follow up on the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the question about the performance of transformer models for medical imaging data to be quite relevant at the moment relatively well written paper and easy to follow comparison qualitative and qualitativ...
this paper investigates the relevance of transformer networks for segmentation in the context of head and neck tumors all reviewers recognized that the paper is relatively well written but also the need to report the performance on hecktor 2021s test set this is important since the transformers seem not to outperform c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a nonparametric reasoning method for reasoning on incomplete knowledge bases specifically for the task of finding a target entity given a source entity and a relation since this specific...
this paper proposed a casebased reasoningnonparametric approach for a widely studied knowledge base completion task given a subject and a relation predict the object based on a given knowledge graph the idea is novel and simple given the subject it retrieves similar entities in the whole kg and corresponding reasoning ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper formulate a general form of federated adversarial learning fal based on which the authors theoretically analyze the convergence of fal they concluded that convergence is possible with chosen learn...
the reviewers had a number of concerns which seem to remain after the authors response in particular the reviewers were concerned about the validity of the papers assumptions in realworld applications and lack of experimental results also while the reviewers acknowledge the novelty in technical contributions they sugge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes lsp a graph pruning method based on localitysensitive hashing lsh for gnn acceleration and regularization the paper shows that the lsp method can preserve the edge similarity after the p...
this paper deals with the important practical problem of speeding up gnns although the proposed method based on lsh may be considered to be a rather too simple preprocessing it would be worthwhile to share the practical idea with the community as far as the proposed method is shown effective enough however as pointed o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies posttraining quantization and propose to leverage interlayer dependency to improve the posttraining quantized network the authors introduce a number of approaches ar asoftmax improved init...
this paper studies posttraining quantization by proposing networkwise quantization nwq an endtoend quantization approach that takes into account relationships between layers rather than treating layers independently using this approach the paper demonstrates compelling empirical gains across a number of architectures a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes several techniques to improve contrastive divergence training of energybased models ebms first the paper proposes to estimate a gradient term which is neglected in the standard contrast...
this paper introduces a bag of techniques to improve contrastive divergence training of energybased models ebms particularly a kl divergence term data augmentation multiscale energy functions and reservoir sampling the overall paper is well written and clearly presented in response to the major concerns from reviewer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors investigate the possibility to learn a generalized embedding function that captures salient and compositional features of sketches by directly imitating human sketches the manuscript is written clea...
description the paper presents a generative model sketchembednet for classagnostic generation of sketch drawings from images they leverage sequential data in handdrawn sketches results shows this outperforms stoa on fewshot classification tasks and the model can generate sketches from new classes after one shot stre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is a survey on 15 datasets related to us criminal justice it describes the us justice pipeline in a flowchart and sorts the datasets with according to it the authors propose a datasheet for each ...
the paper introduces a set of criminal justice datasets to the machine learning community surveying 30 datasets and creating datasheets for 15 of them reviewers appreciated that the paper raises awareness of these datasets in the ml community and the documentation work that the authors have contributed there were two m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an investigation of perplexityefficiency tradeoffs in deploying a qrnn neural language model to mobile devices exploring several kinds of weight pruning for memory and compute savings wh...
the area chair agrees with the authors and the reviewers that the topic of this work is relevant and important the area chair however shares the concerns of the reviewers about the setup and the empirical evaluation having one model that can be pruned to varying sizes at runtime is convenient but in practice it is lik...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper empirically exams the question of whether graph neural newtworks can learn discoutinous rigid contact dynamics specifically the gns 1 architecture is studied on the following discountinous contac...
this paper provides empirical studies to show that a gnn architecture can provide better contact behavior modeling for rigid bodies than other deep learning architectures and sometimes can be better than physicsbased methods all the reviewers agree that the paper poses a powerful and interesting hypothesis and showed ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to model original texts and similar texts in a graph structure for language modeling with graph neural networks in the graph the nodes are texts or similar contexts and the edge...
this paper introduces a new type of language model the gnnlm which uses a graph neural network to allow a language model to reference similar contexts in the training corpus in addition to the input context the empirical results are good and the model sets a new sota on the benchmark wikitext103 corpus as well as impr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes garnet a spectral approach to depend adversarial attacks on graph structure garnet consists of three steps low rank approximation of adjacency matrix adaptive filtering on node signals a...
the paper proposes a method to change the graph structure for better robustness against adversarial attacks the reviewers commend the authors for a clearly written paper and promising results several reviewers expressed concerns about experimental validation specifically comparison to truncated svd and choice of baseli...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a way to integrate 3d perception in hybrid force velocity controllers hfvc where force control is used to maintain contact points between the robot and an object and velocity control is ...
thank you for your submission to corl 2022 the reviewers have left comments below with key comments summarized here please address these comments in your rebuttal strengths the paper shows that compliant control can be achieved via noisy inaccurate and incomplete feedback it is a promising and meaningful topic to st...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: existing neural fieldsbased methods fail to reconstruct highquality surfaces for larger and complex scenes with sparse viewpoints in this work the authors inspect the issue as inherent ambiguity in rgb loss...
there was a range of reactions to this paper from borderline reject to strong accept although several of the reviewers highlighted that the contribution could be viewed as incremental it is clearly described and robust across different types of scenes and i concur with the three reviewers that give positive ratings t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an anomaly detection technique based on ebm energy based model the proposed technique is supposed to help adapt to new tasks faster with just a few rounds of training the proposed algorit...
the final consensus from three reviewers knowledgeable in the field was that the paper makes an interesting contribution in the area of anomaly detection the empirical results were seen as particularly impressive and the treatment of intermediate samples from langevin dynamics as abnormal was also seen as offering some...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose using the structured energy network as a loss to achieve faster and better performance on structured prediction problems they demonstrate that their approach achieves competitive results...
this work proposes using structured energy networks as loss functions for training feed forward networks to solve structured prediction tasks the reviewers find the paper to be well written and easy to follow the contribution is well positioned with respect to the literature and empirical results are strong during the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: highlevel summary this paper introduces a bayesian stackelberg markov game bsmg model that considers a defenders uncertainty over attackers types when implementing defensive strategies it also proposes to u...
the paper proposes a new gametheoretic model bayesian stackelberg markov game bsmg for designing defense strategies while accounting for the defenders uncertainty over attackers types the paper also proposes a learning approach bayesian strong stackelberg qlearning bssq to learn the optimal policy for bsmgs it is shown...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: higher resolution than existing method which is very important in the clinical setting as some tumors can be very small the authors compare to two other weakly supervised baseline and to one fully supervi...
1 sa 2 wa 1wr the wr reviewer found the paper to have low contribution compared to previous work and low segmentation accuracy all reviewers agreed that the paper has merit it has been evaluated in a large dataset and the proposed method is supported with a lot of ablation studies the authors addressed the points raise...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a bregman gradient policy optimization framework for rl two specific algorithms are proposed which are bgpo and vrbgpo where vrbgpo is an accelerated version of bgpo the authors provide t...
this paper proposes a policy gradient algorithm based on the bregman divergence and momentum method while one reviewer was initially concerned about the technical novelty of the paper given some existing works after the authors response and paper revision the reviewers are all convinced and have reached a consensus to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a skill transfer method which exploits learned semantic correspondence in order to transfer skills from source domains to novel target domains although the means of executing actions to ...
the paper is well written and organized motivation and problem setup clearly stated tackling an interesting and fundamental problem of bootstrapping rl with information from a different problem instance and showing promising results especially when learning from human videos however there are several concerns raised t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary derive sentence representations from a bidirectional lstm encoder trained to distinguish real sentences from fake ones fake sentences are derived from real ones by swapping two words or dropping a s...
this paper presents a new unsupervised training objective for sentencetovector encoding and shows that it produces representations that often work slightly better than those produced by some prominent earlier work the reviewers have some concerns about presentation but the main issuewhich all three reviewers pointed t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose graph vrnn the proposed method models the interaction of multiple agents by deploying a vrnn for each agent the interaction among the agents is modeled by the graph interaction update on...
this paper proposes a unified approach for performing state estimation and future forecasting for agents interacting within a multiagent system the method relies on a graphstructured recurrent neural network trained on temporal and visual pixel information the paper is wellwritten with a convincing motivation and a s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a framework clear to generate counterfactual explanations on graphs this framework can be helpful for promoting explainability in graphbased prediction models specifically the authors use...
this paper proposes a new method for producing counterfactuals on graphs this is performed using a vae on graphs with auxiliary variables to identify independent components and promote causality while this work is mainly a combination of existing ideas the resulting method is not trivial the engaged discussion clarif...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents lasso a latent subspaces orientation to tackle domain generalization problem the paper involves both theoretical and empirical results theorem 1 says the target domain loss is bounded b...
this paper proposes a novel method for improving domain generalization based on the idea of learning different subspaces for each domain authors provide theoretical analysis related to their proposal and further evaluate their proposed method on a subset of domainbed benchmark strong points the paper is wellwrit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose the intrinsic sliced wasserstein isw distances for collections of probability measures the isw is a variant of sliced wasserstein sw which exploits the closedform solution of optimal tra...
in this paper the authors propose the intrinsic sliced wasserstein distances and a hypothesis testing framework for the proposed measure the idea of using eigenfunctions and eigenvalues for sliced wasserstein is interesting the authors addressed a part of the concerns raised by the reviewers however the advantage over ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proof for the optimality of the fairness constrained algorithms finite or infinite i will cover mostly on q5 i am not sure why it is called fair surely fairness can be defined differently for differe...
meta review the reviewers are in agreement with accepting the paper there are some concerns around the exposition especially around using the fairness term we strongly encourage the authors to consider this in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach for image to image translation by introducing extra layers into the generator which can be trained in an unsupervised way the paper is generally easy to follow i have the fol...
all the reviewers shared the concerns about the novelty and the quality of the results comparisons with some sota results are missing and the inclusion of deblurringdenosing tasks is not convincing the authors carefully addressed these issues in the rebuttal but the reviewers didnt change their mind afterwards after ca...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers risk estimation of predictors used by planners for robots robustness of plans is achieved by pushing the risk estimation to prediction rather than computing it at planning time this has ...
summary this work builds a riskaware prediction model to construct riskbiased trajectories it learns an additional encoder model of the latent random distribution by minimizing a cost function biased by the latent random variable this avoids the need to update planners when new predictors and risk measurements are e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work incorporates symmetries into a convolutional neural network to improve generalization performance and prediction accuracy the work incorporates various symmetries by designing equivariant neural n...
symmetries play an important role in physics and more and more papers show that they also play an important role in statistical machine learning in particular employing symmetries might be the key to improve training and predictive performance of machine learning models in this context the present paper shows how prev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors have implemented semisupervised model for inferring beehive characteristics frames disease severity and disease type based on audio sensor and environmental sensor data contributions 1 sensor and ...
all reviewers and myself believe that iclr may not be the right venue for this paper hence my recommendation is to reject it as a brief summary i highlight below some pros and cons that arose during the review and metareview processes pros important domain but out of scope of iclr collection of sensor and environmen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper introduces the idea of some existing handcrafted features into the deep learning framework which is a smart way for building light weighted convolutional neural networks 2 i have noticed that b...
this paper proposed a lbpnet for character recognition which introduces the lbp feature extraction into deep learning reviewers are confused on implementation and not convinced on experiments the only score 6 reviewer is also concerned empirically weak practical advantage wrt to literature unclear only evaluating on mn...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach to infer shape programs given 3d models the programs include placing and arranging predefined primitives in layouts and can be written as a program over a domainspecific lang...
this paper presents a method whereby a model learns to describe 3d shapes as programs which generate said shapes beyond introducing some new techniques in neural program synthesis through the use of loops this method also produces disentangled representations of the shapes by deconstructing them into the program that p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper learns the binary basis mask for a few task sequence tasks later linear combinations of the basis mask can be used as a mask for the new task the parameter learned for combining the basis mask is ...
this paper presents an approach impresslearn to continual learning using the idea of taskspecific masks the idea builds upon another idea supsup wortzman 2020 which uses a backbone network shared by all the tasks and binary taskspecific masks however the number of parameters for an approach like supsup can become exc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper discusses a model for learning the architecure of a convolutional networks starting from a fully connected graph the idea is to learn the adjacency graph of the model together with the weights of...
the idea presented in the paper is interesting and has caught the attention of the reviewers however there seem to be only a tepid support for acceptance with a reviewer championing rejection there is little novelty in the approach but empirical validation shows results that consistently improve over selected baseline...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the storage and recall of factual associations in gpt and shows evidence that these associations correspond to localized directlyeditable computations it utilizes a causal intervention t...
the paper proposes a method rome to analyze the storage and recall of factual knowledge in a largescale autoregressive language model and find that such knowledge can be controlled by changing weights in the mlp layer the reviewers all agree the paper is wellmotivated wellmotivated and scientifically sound the area ch...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a very nice analysis for the nonsmooth l1 dictionary learning minimization in the case of orthogonal complete dictionaries and linearly sparse signals they utilize a subgradient method an...
this paper studies non smooth and non convex optimization and provides a global analysis for orthogonal dictionary learning the referees indicate that the analysis is highly nontrivial compared with existing work the experiments fall a bit short and the relation to the loss landscape of neural networks could be descr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new privacypreserving algorithm and proves convergence guarantees on the existing differentially private normalized sgd algorithm and the variant proposed in the paper the new variant o...
the authors obtain improved guarantees for differentially private smooth nonconvex empirical risk minimization following the discussion stage there appears to be a consensus in favor of accepting this paper due largely to the clear theoretical improvement and the fundamental nature of the problem however reviewer nfxu ...