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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overall paper is very clear and contribution is sound i would implore the authors to ensure it is clear to the reader how yang et al 2022 served as a foundation for this result both at a highlevel in the ma...	both reviewers agree about the high quality of the paper and the significance of the results reviewer hwlf highlights that this paper provides a solution to the longstanding problem of identifiability of nonlinear ica which together with the high quality of the submission more than justifies an oral presentation at t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an attention mechanism that computes a weighted sum over not only single tokens but ngrams phrases experiments on wmt14 show a slight advantage over tokenbased attention the model is el...	all reviewers agree in their assessment that this paper does not meet the bar for iclr the area chair commends the authors for their detailed responses
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors evaluate their approach specifically on liver lesion segmentation and more generally on lesion segmentation in computed tomography ct as well as segmentation of skin lesions from dermatoscopic i...	the authors have addressed all the points raised by the reviewers to a different extent including more experiments and discussion points to support the described method anonreviewer1 indicated that a more extensive comparison with other recent and maybe more competitive baseline segmentation methods should have been i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary previous work has shown that sketching the hessian can improve the running time of secondorder optimization methods however these prior sketching techniques were dataoblivious this paper leverages l...	this paper considers convex optimization problems whose solutions involve the solution of linear systems defined in terms of the hessian it presents algorithms that reduce the runtime of standard iterative approaches to solving these problems by iteratively sketching the hessian the novelty lies in the fact that the au...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a nice framework of testtime fine tuning through selfsupervision for adversarially trained networks with the purpose of improving the robust accuracy on test data a meta adversarial trai...	this paper proposes a method to improve the robust accuracy of classifiers using testtime training the reviewers all agree that the method is interesting and many reviewers had a positive view of the method however two main criticisms remain i the method increases the runtime of inference and ii comparisons to other ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper adapts the decision tree growing algorithm to handle positiveunlabeled learning ie learning with only positive and unlabeled examples the authors first note that the standard tree growing algorit...	this paper proposes a decision tree learning approach with only positive and unlabeled examples the reviewers are concerned that the novelty of the proposed approach is not high however they appreciate that the paper is clearly written the idea of the proposed approach is reasonable and comprehensive experiments are co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on nesterovs accelerated gradient nag method with a scheduled restart for stochastic optimization the authors particularly provide a particular momentum restart scheme and characterize it...	the reviewers acknowledge that the paper has some promising experiments however they think that the theoretical contributions are not rigorous specifically the assumption in theorem 2 it is true that the main part of the proof relies on this assumption the main question is whether this assumption holds or not the way t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: backdoor attack is becoming increasingly relevant in ml applications this paper introduces a benchmark for backdoor attacks and defenses in the context of nlp models to foster research progress in this area...	this work provides evaluations on serveral backdoor attacks and defenses on nlp data the evaluation can be further improved by discussing related defenses maintaining high quality and clear documentation and discussing the stealthiness of the attacks
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an architecture for segmentation that combines several components that improve over unet segnet and fractalnet baselines notable components include squeezeexcite se blocks residual unit...	the reviewers have provided detailed comments and listed many valid issues like modest description of previous work lack of clarity and details regarding the method and missing details about the reference standard modest comparison with previous work however the addressed problem is clinically relevant large data set w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes atn to model and identify physical systems here the physical systems are grids consisting of measurement sensors because the sensor configuration is not perfect there can be unobservable ...	this paper addresses the identification of physical systems defined on graphs the authors introduce the adversarial twin neural network atn which consists in augmenting a simple linear model pnn with a virtual neural network vnn some regularization terms are used to enforce maximum prediction from the pnn and to enforc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in information retrieval problems there are two kinds of models dualencoder models and crossattention models crossattention models generally outperform dual encoder models by a large margin due to the laten...	strengths wellwritten paper theoretical analysis demonstrates that dual encoder models have similar capacity as ca models new distillation algorithm for learning de students from ca teachers weaknesses no reviewer seems particularly excited about this work theoretical analysis doesnt provide actionable insight it...
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 a framework to learn a membrane dynamics model for their custom bubble membrane fingertips for use in tasks such as continuously pressing down on a whiteboard with a ma...	summary the focus of the paper is to learn a membrane dynamic model for a custom bubble sensor tasks include drawing a line on whiteboard with a marker and pivoting objects using the fingers and a table a tof sensor generates a point cloud of the internal membrane wall and allows for the use of learning techniques on...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides new generalization bounds for sgd using the stability analysis framework for both convex and nonconvex cases using a normalized loss function stability as measured in the form of anglewi...	the paper focuses on providing generalization bounds for sgd for functions that are invariant under scaling the papers analysis is based on the stability framework but instead focuses on a metric that is based on the anglular distance as compared to the euclidean distance overall the reviewers found the paper to be in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper reinforcement learning rl with trainingtime privileged information is studied this scenario is the relaxation of traditional pomdp by allowing additional observations to be available during tr...	this paper studies the problem of using oracle information thats only available during training in rl the key contributions are 1 a variational bayesian approach that models the oracle observation as latent variables and 2 a mahjong environment for benchmarking rl with oracle guiding the novelty of the proposed approac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper is about ann being bestknown models of developed primate visual systems however this fact does not yet mean that the way those systems are trained is also similar this distinction and a s...	this paper received 2 borderline accepts 1 accept and 1 reject this paper was discussed on the forum and no consensus was reached the two reviewers who rated the paper as borderline accept emphasized that the biological claims are overblown that the intellectual contributions the initialization scheme and partial trai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors introduce a learnable rlbased planner it is specifically design for long horizon sparse reward environment the proposed planner consists of two major components a world model uses ...	this paper studies an interesting problem and overall the reviewers agreed the exposition and validation are sufficient we encourage the authors to consider the issues raised by the reviewers and further improve the work in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors propose a new method for efficient vertical fl specifically the authors propose to find a small subset of clients whose features could be used to learn a model that yields high accu...	this paper studies the problem of vertical federated learning where each client eg hospital has access to a disjoint subset of features the reviewers agree that the paper provides an interesting technique for client selection the authors have adequately addressed the reviewers questions the authors should consider de...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of fast mapping in a 3d environment learning to explore an environment to learn a new mapping between objects and names and then during a new phase learning to pick up objec...	the paper investigates the capacity for neural language models to perform fastmapping word acquisition using a proposed multimodal external memory architecture much work exists that shows that neural models are capable of following instructions whose meaning persists across episodes ie slowlearning however much less at...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a new technique called folded hmc to better sampling for the bayesian treatments of gans the effectiveness of the method is demonstrated on several vision datasets cifar10 svhn imagenet ...	the paper proposes a method to sample the parameters of the generator and discriminator in a bayesgan saatci and wilson 2017 setting the main innovation is a modified hamiltonian monte carlo sampling scheme unfortunately the method is not clearly presented to the point that all reviewers had difficulties understanding ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a greedy algorithm to solve the tensor network optimization problem in a heuristic manner the major contribution of the method is the greedy algorithm to efficiently derive the tensor ne...	the paper considers the important problem of tensor network optimization unfortunately the authors did not respond to the reviewers comments hence several concerns remain about the proposed greedy algorithm including its relationship with prior work and the issue of the als method being stuck in local minima for import...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for learning skills from multiple diverse demonstrations using an approach that infers multimodal distributions in a geometric feature space it is motivated by skills that can ...	a method is proposed for learning skills from diverse demonstrations with a focus on inferring multimodal distributions and grounded in geometric features this allows the method to learn multiple ways of performing a task as learned from diverse human demonstrations the paper has three reviews with recommendations of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper points out that minimax excess risk is lower bounded by a function of only the size of the minority group without additional parametric model assumptions or knowledge of the problem at hand howeve...	this paper provides bounds and some empirical results on specific distribution shift scenarios where there is a majority and minority group group identity is known to the learner and while at training time data from the two groups is unbalanced at the test distribution is assume to be a balanced mixture the paper consi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a new variant of monteirosvaiter ms framework which serves as a metaalgorithm to accelerate inexact backward optimization method in convex optimization like proximal point algorithm cub...	the paper proposes a variant of ms acceleration that requires no bisection this in turn can be used to accelerate the cubic regularization method and other proximal based methods matching previously established lower bounds the specialized second order variant requires no knowledge of the lipschitz constant of the hess...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied the overfitting problem in linear models from an informationtheoretic perspective more specifically the author defined the concept of information efficiency which is the ratio between the...	the technical concerns of the reviewers were cleared in the discussion and based on the final reviews and my own reading the paper seems technically sound while the considered model is very simple and hence relevance to practice is hard to foresee the contribution of analyzing the ib method in a simple setting is consi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: edit after rebuttal i have updated my evaluation from 4 to 6 based on the changes made in the manuscript and the responses by the authors see details in my response to the authors httpsopenreviewnetforumi...	the paper presents a mathematical analysis of the discrepancy between gd and gf trajectories following the discussion period a knowledgeable r3 updated hisher initial rating from 4 to 6 a knowledgeable r4 raised hisher score from 5 to 6 finally a very confident r1 considers this a good paper that should be accepted he...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a framework to continuously learn objectcentric representations and formulate the problem by projecting the object representation space to the hypernetwork parameters for the segmentatio...	this paper received 4 quality reviews the reviewers like the problem formulation and various ideas presented to enabling a working pipeline however almost all experiments are conducted on synthetic data concerns are also raised regarding its usage and application on realworld data in the updated version the authors add...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a multistage learning framework for solving fps games with hindsight experience replay goal conditioned reinforcement learning and prioritized selfplay this whole work includes an overal...	the authors propose a method for training agents in fps games and achieve good results in a vizdoom setting the method combines a number of different components and ideas and it is not clear which of these are crucial to the success in particular ablations of the method are missing as well as more runs to test variabil...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes efficient packing methods for training sequences of bert such that the 50 of the padding tokens in the wikipedia dataset is avoided to speed up the training these methods include shortes...	this paper proposes to reorganize the training data in such a way that padding can be avoided the novelty is somewhat limited and the results are what one would expect a nice speedup of 2x but nothing really gamechanging while the reviewer scores straddle the decision boundary nobody is very strongly supportive of acc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a new framework to learn longhorizon control policies on multitool deformable object manipulation tasks a differentiable physics simulator is combined with a trajectory optimizer to gathe...	manipulating deformable objects is an upandcoming topic in robotics and machine learning and it creates many interesting scientific and realworld challenges the paper looks into long horizon tasks of manipulation of deformable objects using an interesting mix of more local trajectory optimization and differentiable phy...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a simple method to robustify policies that are trained from a small number of demonstrations using supervised learning ie behavior cloning the key idea is to synthesize recovery trajector...	the paper proposes training a backward model to teach agents to recover from drifting off the optimal state trajectories provided by a limited number of demonstrations all reviewers have voted to weakly accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the generalization problem of gnns the authors analyze the problem that the generalization of gnns will be hindered by entangled representations as well as the correlation between causal ...	the paper proposes a gnn framework where the causal substructure and the bias substructure are disentangled by a mask generator and separate gnns sota results on artificially generated severely biased data are reported reviewers raised concerns mainly on the novelty eg from 2 20 insufficient experiments missing basel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this article is concerned with convergence guarantees of online stochastic gradient descent for a rather generic class of three layers neural networks instead of similar analyses that treated two layers the...	this paper provides a global convergence guarantee for feedforward threelayer networks trained with sgd in the mf regime by introducing the novel concept of neuronal embedding of a random initialization procedure sgd trajectories of largewidth networks are shown to be well approximated by the mf limit a continuoustime...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method to transfer multimodal representations of clip to smaller student networks for downstream tasks in addition to the standard similarity loss of representations the method also ap...	this paper presents a method beamclip to transfer multimodal representations of clip to smaller student networks for downstream tasks it combines both similarity loss of representations and crossmodal similarity matching loss among teacher and student the method is tested on six benchmark datasets and showed convincin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: objective find a way to parametrize equilibrium neural networks to allow setting a lipschitz bound on the inputoutput mapping central claims 1 there exists an extension to the parametrization proposed in...	this paper is an extension of monotone operator equilibrium networks mon it first tries to address a key issue in mon whether the activation function sigma can be represented by a proximal operator of some function f then it derives the constraints on the weight w connections to neural odes and convex optimization are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a metalearning solution for problems involving optimizing multiple loss values they use a simple small mlp discrete stochastic controller to control applications of updates among...	the paper suggests using metalearning to tune the optimization schedule of alternative optimization problems all of the reviewers agree that the paper is worthy of publication at iclr the authors have engaged with the reviewers and improved the paper since the submission i asked the authors to address the rest of the c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on collaborative metric learning cml based recommendation systems rs the authors point out that the current cmlbased studies might result in a limited recommendation performance due to th...	after the author response all three reviewers are in favor of accepting the paper the proposed collaborative metric learning approach was appreciated in terms of novelty by two of the reviewers whereas one considered the contribution limited the theoretical analysis was appreciated and the experiment was considered con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a transformer based that employs relaxed inductive bias compared tgo tanner graphbased methods while utilizing domain knowledge compared to standard modelfree decoders based on fullyconn...	this paper is part of a popular line of research aiming to apply neural network concepts to the decoding of errorcorrecting codes the main novelty consists in the introduction of an architecture based on transformers the authors provide convincing and thorough numerical results comparing the ber and the complexity of t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work investigates the ability of a neural network to learn analogy they showed that a simple neural network is able to solve analogy problems with image or abstract input given that the training data i...	pros the paper is wellwritten and includes a lot of interesting connections to cog sci though see specific clarity concerns the tasks considered visual and symbolic provide a nice opportunity to study analogy making in different settings cons there was some concerns about baselines and novelty that i think the aut...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a novel idea to tackle instance segmentation tasks the canonical shape and transformation information may lead to better explainability and provide information about cell morphology more...	i thank all reviewers for their time and effort spent reviewing this paper and their engagement with the rebuttal process i also thank the authors for their detailed rebuttal and changes made to the manuscript on balance there is sufficient support for the paper to be accepted and i look forward to seeing it presented ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new system called eager which combines graph embeddings and attribute values to address the entity resolution er task the article is well structured the method adopted by the authors is...	all reviewers agree that the paper is written very clearly and is easy to follow it gives a comprehensive overview of the related work within the field a thorough and wellconducted evaluation and in depth study and discussion of the different results the paper uses a variety of datasets compares against relevant state ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript proposes a problem defined as weakly supervised graph clustering given a set of graphs and node features the problem is to predict node labels in each of the graphs some variations can be ma...	existing methods for graph clustering usually use nodeedge information but ignore graphlevel information this paper proposes incorporating graphlevel labels into graph clustering and formulating the new problem as weakly supervised graph clustering the paper further proposes gaussian mixture graph convolutional networ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a novel mechanism to add early exiting on existing networks without retraining the original network the paper mentions the reason for this is that this can be done on lowerpowered devic...	this paper proposes an early exit method that uses class means of samples that is gradient free and is aimed for low compute cases such as mobile and edge data the idea is novel in this setting though class means have been used for other settings such as few shot classification and empirical results show that it works ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors propose a new model named convirt to learn the medical visual representation from paired image and textual data in an unsupervised strategy in convirt they mainly use a contrastive ...	the proposed convirt learns representations of medical data from paired image and text data while the paper addresses a relevant problem the reviewers agree that the method has limited novelty two reviewers find and that the experiments are not convincing one reviewer notes that the paper does not compare to the stateo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper demonstrates a cnnbased segmentation network for noncontrast ct images the performance of the network is evaluated withwithout postprocessing and compared to expert annotators the results indicate...	this paper shows promising results when applying developed architecture to imaging types usually not deemed sufficiently informative despite the limited testing and validation pool the statistics appear well performed
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this works proposes a scalable way of approximating the eigenvectors of the laplacian in rl by optimizing the graph drawing objective on limited sampled states and pairs of states the authors empirically sh...	this paper provides a novel and nontrivial method for approximating the eigenvectors of the laplacian in large or continuous state environments eigenvectors of the laplacian have been used for protovalue functions and eigenoptions but it has remained an open problem to extend their use to the nontabular case this paper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach based on muzero to learn strategies to enhance the search query it borrows the idea of pseudo relevance feedback of rocchio selects terms from the top5 retrieved results and ...	this paper presents a method to improve search engines the method is designed based on the bm25 retrieval method and is evaluated on nq open dataset the reviewers agree that the motivation is interesting and implementation is reasonable but the authors have only showed the impact of their approach over one retrieval me...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on learning document embeddings presenting a topicdocument embedding tde method employing syntactic and semantic properties by jointly learning topic and word embedding in a single framew...	strength the paper is relatively clearly written a new method is proposed weakness the evaluation is weak the experimental setup is not clear enough more quantitative evaluation is necessary there are strong and new baselines that need to be compared with relation with existing work needs to be more clearly desc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a datadependent gcn framework d2gcn which integrates datadependent nodewise edgewise and bitwise skipping to save the cost for inference while does not sacrifice prediction accuracy str...	the paper proposes datadependent gcn d2gcn which improves the efficiency of vanilla gcn by nodewise skipping edgewise skipping and bitwise skipping gate functions are learned to prune the unimportant neighbor nodes in combinations unimportant edge connections and in the bitprecision the proposed method boosts efficienc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a new multimodal signature and digit string msds dataset including two subsets msdschs chinese signatures and msdstds token digit strings which is the largest publicly available chinese ...	the paper gets divergent reviews initially the reviewers appeciate the largest publicly available scale of the dataset for handwriting verification novel data collection process extensive experimental validation on baselines and modality fusion and findings on the importance of token digit string the main concerns incl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper makes concerted efforts to examine the existing beliefs about the significance of various statistical characteristics of hidden layer activations or representations in a dnn in the past many work...	the paper considers an important problem of investigating the effects different statistical characteristics of representations hidden unit activations such as sparsity low correlation etc have on the neural network performance while all reviewers agree that this is clearly a very important topic there is also a consen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an algorithm to alter the structure of a graph by addingdeleting edges so as to degrade the global performance of node classification the main idea is to use the idea of metagradients fr...	the paper proposes an method for investigating robustness of graph neural nets for node classification problem trainingtime attacks for perturbing graph structure are generated using metalearning approach reviewers agree that the contribution is novel and empirical results support the validity of the approach
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce and formalize the concept of invariant learning consistency icl which is motivated by the idea that good explanations are hard to vary in the context of deep learning instead of using ...	the paper shows that hat if the goal is to find invariant mechanisms in the data these can be identified by finding explanations eg model parameters that are hard to vary across examples to find those explanations it then proposes to combine gradients across examples in a logical and fashion ie pooling gradients sing a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies the loss landscape of domain adversarial neural networks for domain adaptation the authors claim that similarly to the iid setting smooth minima might yield better generalization on the un...	this paper studies the loss landscape of domain adversarial neural networks for domain adaptation first the authors show that smooth minima with respect to adversarial loss leads to suboptimal generalization on the target domain then they suggest to enforce smoothness only with respect to the task loss 3 reviewers are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new approach for dequantization ie embedding discrete data in a continuous space using variational inference and truncated flows called trufl unlike previous approaches trufl aloows the...	the paper proposes a variational dequantization method for categorical data based on flows with learned truncated support the problem has been studied before but the paper makes it clear how the proposed method differs from existing ones the method is empirically evaluated on a large variety of diverse tasks the revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an interesting idea that adopts nas to find a distinct architecture for each class based on cgan framework within the framework the paper also proposes an operator classmodulated convolu...	this paper investigates the use of classconditional architectures in gans it achieves this by employing neural architecture search nas on top of reinforcement learning their main contribution is a flexible and safe search space experiments are carried out on cifar10 and 100 standard performance results are augmented by...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new framework which combines pruning and model distillation techniques for model acceleration though the pruning molchanov et al 2017 and hint components already exists the authors cla...	this paper proposes a new framework which combines pruning and model distillation techniques for model acceleration the reviewers have a consensus on rejection due to limited novelty
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes ddxplus a symptomdisease dataset of synthetic patient records containing demographic information age gender geographic each patients disease symptoms antecedents and differential diagnosi...	this paper proposes a symptomdisease dataset of synthetic patient records containing demographic information disease symptoms antecedents and differential diagnosis the disease evidences and differential diagnoses are synthetically generated which makes the dataset easy to share several reviewers pointed out important ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an autonomous representation learning framework for multivariate time series with irregular sampling rates specifically there are three major components proposed in the framework 1 an au...	the paper introduces an automl method for irregular multivariate time series the method automates the selection of the configuration as well as the hyperparameter optimization depending on the task a bayesian approach handles the network structure search while vaes attention is used to learn representations from ir...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: nn ensembles are useful models to estimate epistemic uncertainty in the predictions since their computational cost is generally high they introduce generative posterior networks gpns as a generative nn mode...	this article proposes a novel uncertainty quantification method formulating the problem as a bayesian inference problem instead of training multiple ensemble models through map optimisation as in ensemble methods the proposed approach tries to learn a mapping function between the prior distribution and the posterior di...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 paper summary this paper proposes a dl method for learning sparse nonlinear transformations that maximize correlations between two views in particular each view is passed through a separate network stoch...	the paper proposes an approach to sparse cca with deep neural nets performing simultaneous feature selection with stochastic gating and canonical correlation maximization the reviewers think that there is merit in defining an objective function that optimizes the goals jointly throughout the networks however 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 propose a novel differentially private approach to generate both continuous as well as discrete valued synthetic data the authors utilize a one shot approach to providing the priva...	the paper presents a new framework of synthesizing differential private data using deep generative models reviewers liked the significance of the problem they raised some concerns which was appropriately addressed in the rebuttal we hope the authors will take feedback into account and prepare a stronger camera ready v...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new method of measuring a knowledge within the learned cnn the representations of cnn layers and word2vec embeddings and compared and the similarity between them are calculate the auth...	the paper aims to study what is learned in the word representations by comparing skipgram embeddings trained from a text corpus and cnns trained from imagenet pros the paper tries to be comprehensive including analysis of text representations and image representations and the cases of misclassification and adversarial...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the gradient descentascent optimization problem of gans in the following setting 1 without generator the gan manipulating a finite set of elements 2 under an mmd gan model with a fixed ...	all reviewers agree this paper presents interesting analysis and results on gan training dynamics however they also note several limitations of the proposed setting namely the assumptions of kernel width and the isolated points model restrict directly applying results to practical settings authors in the response have ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes pretraining language model for ecommerce domain specifically the authors design five pretraining objectives to incorporate various domain knowledge into the the models with an en...	this paper proposes a new method for pretraining of language models in the ecommerce domain it introduces five objectives for pretraining by incorporating domain knowledge into the model pros the paper is generally easy to follow design of the pretraining objectives is reasonable experimental results are solid and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update i think the experiments are interesting and worthy of publication but the exposition could be significantly improved for example not sure if figure 1 is needed given the context ablation study ov...	the paper extends an existing approach to imitation learning gail generative adversarial imitation learning based on an adversarial approach where a policy learner competes with a discriminator in several ways and demonstrates that the resulting approach can learn in settings with high dimensional observation spaces ev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the contributions in the context of an episodic communicationenabled fullycollaborative embodied multiagent setting this paper tackles the problem of inducing the emergence of a common language ...	both reviewers were impressed with this paper and we believe it would make for excellent discussion at the workshop we congratulate the authors and look forward to discussing this at the workshop we hope they can use the feedback from reviews to make a strong conference submission
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors build on the dreamer architecture that is able to learn models of an environment to build dreamerv2 which learns a model of an environment in latent space the authors then train their agent in t...	the main contribution of the paper is showing that a modelbased approach can be competitive with and even outperform strong modelfree methods on the 200m atari benchmark this is achieved through a set of improvements over the original dreamer algorithm reviewers have been polarized over this submission 4589 after read...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission explores a new form of word representation based on a histogram over context word vectors allowing them to measure distances between words in terms of optimal transport between these histogra...	the paper proposes to build word representation based on a histogram over context word vectors allowing them to measure distances between words in terms of optimal transport between these histograms an empirical analysis shows that the proposed approach is competitive with others on semantic textual similarity and hype...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: thank you for the detailed reply and for updating the draft the authors have added in a sentence about the sldsvae from johnson et al and i agree that reproducing their results from the open source code i...	the overall view of the reviewers is that the paper is not quite good enough as it stands the reviewers also appreciates the contributions so taking the comments into account and resubmit elsewhere is encouraged
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is releasing a dataset and a model for citation field extraction the task of parsing the a bibliography entry of a paper into its corresponding fields authors title venue year etc the dataset is ...	the authors consider the problem of citation field extraction which is necessary for automatically constructing scholarly databases while there were some concerns regarding the novelty of the work the importance of the task and dataset to be released with the work outweights these
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a framework for learning environment dynamics models more efficiently by leveraging small amount of human guidance specifically the paper points out that for common robotics tasks transit...	this paper present a new domain definition language aimed at defining highlevel structures of transition models the benefit of using this language is the possibility of injecting human priors into the models thus achieving better learning the idea of the paper is novel and bold the reviewers highlighted different as...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an attack that could break 4 adversarial detection methods published recently traditionally attacks against detection methods have attempted to maximize the loss for both classification ...	the authors propose two new variants of projected gradient descent for attacking a classifier and a detector simultaneously using these two new variants they are able to break four recent detection methods for adversarial samples strength all the reviewer acknowledge that breaking these four defenses is a valuable co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed recovering and verification of causal graphs via sufficient hard interventions with unlimited data contributions are constructing bounds on the minimum verification number of a graph g b...	this papers reviews as it stands are divergent the scores are 7 5 and 4 the paper has seen discussion between reviewers with negative opinion and the authors one reviewer who engaged in discussion revised the score up by 1 the most unfavorable reviewers main issue was lack of empirical evaluations comparing the author...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce radgraph which associates fulltext radiology reports with clinical entities that makes use of a novel information extraction scheme to structure radiology reports they introduce and em...	dear authors thank you very much for your submission and fruitful discussion with the reviewers the final score are 9999 with confidences 3443 which is obviously a clear accept all reviewers agreed in the importance of the data the work and scientific rigor that went into creating and annotating the data the only ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors conduct a largescale study on when models are more likely to learn different representations and how diversity in learned representations can help ensemble performance they select 5 possible rea...	this well written and well motivated paper has been independently reviewed by four expert reviewers they all voted for the acceptance with three straight accepts and one marginal the feedback provided to authors was constructive and the authors responded comprehensively i recommend acceptance of this work for iclr
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a bayesian irl algorithm based on variational inference by learning a policy similar to the one by the demonstrator and inferring the reward function at the same time without sampling th...	the reviewers agree that the submitted paper is of high quality and provides a promising approachframework for bayesian irl certain concerns regarding details of the implementation and evaluation have already been addressed by the authors during the rebuttal phase and also the title of the paper was adjusted in line wi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper evaluates a gradientbased subset selection method in hyperparameter optimization and shows that the method can speed up the hyperparameter optimization process without significant performance det...	this paper proposes automata an approach that uses gradmatch to select subsets of data in order to accelerate hyperparameter tuning the reviewers all found the approach to be practical and empirically effective there were concerns about the robustness to different subset sizes particularly across different datasets but...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed the augmented intermediate level attack ila algorithm to strengthen the transferability of adversarial examples also it claimed that increasing the diversity of input references could imp...	this paper develops a new method named augmented intermediate level attack augila to improve the transferability of blackbox attacks specifically the proposed augila contains three key modules image transformations reverseadversarial update and attack interpolation overall the reviewers think it is an interesting pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a method based on implicit maximum likelihood estimation for singleimage superresolution the proposed method aims at avoiding common artifacts such as highfrequency noise and sh...	the main novelty of the paper lies in using multiple noise vectors to reconstruct the high resolution image in multiple ways then the reconstruction with minimal loss is selected and updated to improve the fit against the target image the most important control experiment in my opinion should compare this approach agai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an extension of ctc by considering the wildcard to adjust the label missing issues during training which tends to happen in the onsetoffset edges of the utterance the paper elegantly for...	this paper proposes an extension of ctc by considering the wildcard to adjust the label missing issues during training the authors propose to minimize the loss over all possible subsegments of the input to automatically align the one that matches the available transcript it is empirically proved to significantly improv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents benchmarking of two compositional scenarios objectcolour objectshape using birds and flowers datasets the authors also incorporate a new evaluation metric that is meant to avoid model bia...	the paper presents a benchmark for measuring compositionality in texttoimage synthesis reviewers found the benchmark novel and wellmotivated and felt the paper was clear and easy to follow reviewers pointed out some minor weaknesses in the paper confusion about low pearson correlations in table 3 not enough discussion ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests a small coreset for the problem of clustering under kernel distances coresets allow geometric problems to be reduced to small size and then an expensive algorithm run on the coreset inste...	overall it was decided to reject this paper mainly because it seemed to be a minor extension of known constructions the reviewers agreed that it certainly is valuable that the paper presents the best known results for kernel kmeans but the paper was viewed by the reviewers as more of an observation and primarily an off...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the problem of best arm identification in the fixed budget setting the authors introduce a notion of global optimality specific to a prescribed complexity measure h they establish a cha...	this paper had very mixed prerebuttal scores fairly detailed reviews and significant authorreviewer interaction following all of this the reviewers are now generally positive with several of the initial concerns being resolved one of the scores remains below the threshold due to certain claims and statements being to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a gnnbased method for objective space decomposition oda in ip problems oda is relevant when multiple objectives are to be optimized but solvers usually only consider a single objective at...	in this paper the authors exploit imitation learning with a twostage gnn to learn the reduction rule for oda to accelerate the solver and reduce the unnecessary computation the authors evaluate the performances of the proposed method and demonstrate the advantages in sum this paper consider an interesting applicati...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel method to make the training binary neural networks with lowmemory and lowenergy by modifying the backpropagation and forward process to this end the paper binarized weight gradie...	after reading the paper reviews and authors feedback the metareviewer agrees that this paper addresses an important topic however as the reviewers pointed out the paper mainly builds the technique on simulated setting and it is unclear how the method will translate to real world speedups past workeg 1 has also shown th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthis paper proposed a new client reweighting algorithm for selfish federated learning where the goal is to optimize the performance of a few internal clients not all clients for strengths this paper s...	the paper proposes an fl framework that optimizes the performance of a subset of clients reviewers did appreciate the value of several contributions but unfortunately consensus is that it remains below the bar even after the discussion phase concerns remained on correctness issues motivation of assumptions and distinct...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose the heterogeneous motif graph neural network hmgnn which is based on a motif level graph representation that takes into account commonly occurring motifs like rings in molecules they appl...	the paper introduces a graph neural network for molecules which takes into account motiflevel relationships the paper received borderline reviews with three reviewers voting for reject and one for accept after the rebuttal the reviewers did not change their scores overall it seems that the paper has some merit with go...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tries to propose a new recurrent architecture that could address the wellknown issues of recurrent models like vanishing gradient and exploding gradient the architecture is a kind of a realization...	the paper proposes a new recurrent architecture based on discretization of odes which allow for learning multiscale representations and help with the vanishing gradient problem the reviewers all agree this architecture is novel and provide substantial theoretical and empirical evidence a strong accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors study bounds on the sequential minimax regret of sequential probability assignment against a set of expert predictors they provide both lower and upperbound on the adversarial regre...	this paper considers the problem of online learning with the logarithmic loss and provides a new algorithm based on smoothing of the log loss which matches certain rates that were previously only achieved through nonconstructive methods reviewers agreed that the algorithm and proof technique are novel and that the re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a templatefree method to reconstruct a high quality geometry and motion of a dynamic scene from a single rgbd camera it proposes a bijective deformation map to preserve the cycle consi...	this paper had consistently positive reviews from all reviewers and weaknesses that were expressed were responded to coherently by the authors i recommend this paper be accepted
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method for learning robust binary neural networks from random initialization the proposed training scheme includes adaptive pruning approach and an edge popup algorithm for training th...	the reviewers agree the paper studies an interesting problem on training robust binary neural networks and the paper does a good job in evaluating the proposed approach on multiple datasets and compares well with baselines however the paper also has some drawbacks such as the proposed method has limited novelty and is ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: short summary the authors propose a graph convolutional network gcn approach to perform the diagnosis and prognosis of covid19 from chest ct scans they propose a novel pooling that takes into account the e...	the paper presents a gcnbased solution with a distance aware pooling method for diagnosis and prognosis of covid19 based on ctscan it aims to address an important and timely problem the proposed solution is reasonable the paper receives mixed ratings and therefore we had extensive discussions it is agreed by all of u...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to estimate an instancedependent noise idn label transition matrix instead of modelling the clean label transition as typically done in previous literature the authors propose to estimate...	this paper received a majority voting of rejection in the internal discussion one reviewer updated hisher score from 1 to 3 according to the author response i have read all the materials of this paper including manuscript appendix comments and response based on collected information from all reviewers and my personal j...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes bootstrapped metalearning a new metalearning algorithm for hyperparameter optimization drawing inspiration from temporal difference learning techniques in reinforcement learning the metal...	this paper addresses a metalearning method which involves bilevel optimization it is claimed that two limitations myopia of mg and restricted consideration of geometry of search space that most of existing methods have can be resolved by the mbg with a properly chosen pseudometric the algorithm first bootstraps a targe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work a new dataset for multimodal visuotactile learning called touch and go is proposed in which human data collectors probe objects in natural environments with tactile sensors while recording ego...	overall all reviewers see the novelty in the dataset that provides an original new set of tactile data accounting for a wide range of objects and scene collected in the wild the paper is overall well written clear and easy to follow and provides a good demonstration of the importance and usefulness of the dataset going...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new offline rl algorithm that aims to adapt the policy to a target domain with insufficient data with the help of abundant data in a source domain the authors propose their method dara...	summary this paper proposes a method to do a sampleefficient offline domain adaptation method where the setting requires one to have abundant amount of data from the source domain but limited amount of data available in the target domain the proposed approach dara achieves that by accounting for the the dynamics shift...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the writing of the paper is clear and the the structure of the paper makes it pleasant to read the problem is well motivated the method description is mostly clear and the experimental results of the ood de...	the work has been reviewed by four reviewers who are unanimous in their strong accepts the paper presents a novel approach to out of distribution detection in medical imaging the work is wellprepared and contains interesting experiments the authors have thoroughly addressed the comments of the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper improves and aggregates techniques for 1lipschitz cnns with respect to the l2 norm first the authors approximate the gradient for skew orthogonal convolutions soc so the throughput is increased s...	this paper introduces several new techniques to improve the ell2 adversarial robustness of cnns including approximating the gradient for skew orthogonal convolutions soc replacing the final linear layer with a 1hiddenlayer mlp and introducing a new class of pooling layers these techniques lead to improved efficiency an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the limitations of deep neural networks to model deduction based inferences this is done by crafting simple datasets and experimentally showing that some details are not provided rf nn an...	this paper is not suitable for publication at iclr the paper contains a useful message that neural networks are not a silver bullet and are especially not well suited to deductive problems however as several reviewers pointed out the claims of the paper are undermined by the fact that it ignores a lot of relevant work ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper develops a preferencebased framework for reinforcement learning in healthcare focusing on treatment recommendation the paper highlights several factors where policies trained with prefer...	reviewers agree that this work is promising the paper is wellgrounded in the literature and different aspects of the considered methods are investigated through a variety of experiments unfortunately this paper does not provide sufficient details to allow the reader to understand what has been done nor how to adequatel...

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