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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes experiments that inject linguistic information for example dependency structures into bert then measure improvements in correlation with fmri measurements of humans reading an underlyin... | this paper explores the effect on decoding accuracy predicting hidden representations from fmri datasets from fine tuning models by injecting structural bias this paper specifically focuses the attention of bert on syntactic features of the text which for one dataset appears to improve the decoding performance the pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to explore the advantage of using da for kd for training deep neural networks and try to explain the interplay between da and kd regarding the label advantage the main idea delivered in th... | all of the reviewers recommended rejecting this paper there were concerns that the underlying research questions being probed were not expressed clearly enough reviewers were concerned that the experimental work was not sufficient to warrant acceptance other concerns included the technical depth of the paper the degree... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work formulate a dynamic memory construction process for er as a combinatorial optimization problem which aims at directly minimizing the global loss across all experienced tasks the author proposes glo... | this paper introduces an approach for improving the efficacy of experience replay approaches in continual learning by cleverly deciding what should be in the replay buffer specifically for each task the approach blends random and classbalanced memories according to a parameter that is fit explicitly in the offline case... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the exposition of the half quadratic splitting algorithm is wellwritten section 32 in particular is very clear and easy to follow the proposed strategy does seem to outperform the two baselines implemente... | the authors introduce a deep learningbased mr image reconstruction method with a trainable halfquadratic splitting hps algorithm in particular the method replaces the proximal gradient operator with respect to the regularization term with a parameterized neural network the authors demonstrate its benefits empiricall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of object discovery they propose the 4d unsupervised object discovery from 4d data 3d point clouds and 2d rgb images with temporal information together with a new model cluste... | this paper focuses on expanding the problem of unsupervised object discovery detection to a new setup where a 3d point cloud is available as well as an rgb sequence the paper received three detailed reviews from expert reviewers all of which had their major concerns about the paper resolved through the author rebuttal ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses posterior collapse in vae and also tries to mitigate the issue with many existing solutions for this which is the trade off with poor fit to the prior the authors propose a novel regul... | the paper addresses the kl collapse of vae models by proposing a new regularization reviewers generally acknowledge the novelty of the work and have the tendency of recommending acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper medmentions a large biomedical corpus annotated with umls concepts details the construction of a manually annotated dataset covering biomedical concepts the novelty of this resource is its size in... | the paper provides a valuable new resource to the community a data set of 350000 mentions from 4000 abstracts all linked to umls concepts medmentions has some advantages over existing datasets that are either smaller in size narrower in coverage of concepts or only provide weakly supervised labels of the mentions ie c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
given samples from two distirbutions how can we estimate the kl divergence between them more generally how can we estimate the ratio of the two densities at given points eg on the samples from one of the di... | the paper introduces a technique to improve density ratio estimation this is an important problem and very relevant to the iclr conference the main idea is to consider density ratios with respect to intermediate distributions to scale the densities and make the ratios easier to estimate by training a suitable discrimin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes dropout through the lens of kway interactions the central claim of this paper is that dropout reduces interaction effects this is shown through both theory and experiment the theory sugg... | this paper analyzes dropout and shows it selectively regularizes against learning higherorder interactions the paper received mixed reviews with two in favor of rejection and one in favor of acceptance specifically while all reviewers find the intuitions and ideas in the paper adequateplausible two reviewers didnt find... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the author study the transfer learning setting for training a robust classifier using randomized smoothing it relies on a pretrained smooth model such as macer and smoothadv as the teacher mode... | this work considers how to transfer a welltrained certified robust model ie randomized smoothing model with data from a new domain to achieve this it uses a pretrained smooth model as the teacher model and proposes a simple loss function to make the student model also learn a similar smoothness with a good teacher mode... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a vae for multivariate time series generation the authors add additional decoder building blocks modelling level trend and seasonality components of time series their method named timeva... | the authors propose a vaebased architecture for generating multivariate time series the base version of timevae models a distribution over a fixedlength sequences of observations using a latent vector of fixed dimensionality and a convolutional encoder and decoder the interpretable timevae model incorporates additional... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to use a simple intermediate task clustering to improve the generalization ability of bert in low resource text classification settings the idea is simple we can perform clustering usin... | the paper suggests a simple variant for bert training that improves classification for smaller training samples so it has a very specific applicability unlike other published variants which generally improve a broad range of tasks the variant adds a selfsupervision classification task based on clustering experiments... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a model of the grid cell system based on computing an embedding of position and head direction that allows matrix lie algebras to translate and rotate the coordinate frame the results sh... | the authors propose a recurrent model of selfposition with a handcrafted expression of the rotational structure in terms of a matrix lie group as noted by the reviewers this work strongly builds upon gao et al iclr 2019 this really is mentioned too late and not prominently enough in the manuscript and furthermore the d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the usage of ebms in continual learning for classification although the application of ebms in continual learning is novel the general idea is a special case of the usage of ebms for str... | there were opinions on both sides of this paper from the reviewers reviewers were excited by the novel application of energybased models ebms to continual learning and the resulting performance gains but were concerned by the more direct application of ebms which has been explored in other work and here adapted to the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a good paper as we have good experimental evidence that the proposed method seems to have some advantage over baseline methods the authors measure the success of their algorithm by computing fid sc... | the paper proposes an adversarial framework that learns a generative model along with a mask generator to model missing data and by this enables a gan to learn from incomplete data the method builds on ambientgan but it is a novel and clever adjustment to the specific problem setting of learning from incomplete data th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to change the positional encodings in the transformer model to allow processing of treestructured data the tree positional encodings summarize the path between 2 nodes as a series of ste... | this paper extends the transformer model of vashwani et al by replacing the sinecosine positional encodings with information reflecting the tree stucture of appropriately parsed data according to the reviews the paper while interesting does not make the cut my concern here is that the quality of the reviews in particul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to approach multitask rl problems in which tasks may differ considerably in transition functionsdynamics and reward functions as well as in the action space through task clustering speci... | this paper considers multitask rl from the perspective of an unsupervised clustering of different tasks with an emlike algorithm the idea is evaluated on several simple and atari domains we thank the reviewers for their detailed responses and revision this work still seems a little preliminary in its current form while... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main question this paper aims to answer is how vulnerable binary image classification systems are this is an important question because of the application of such binary image classifications for check... | this paper was referred to the iclr 2021 ethics review committee based on concerns about a potential violation of the iclr 2021 code of ethics httpsiclrccpubliccodeofethics raised by reviewers the paper was carefully reviewed by two committee members who provided a binding decision the decision is significant concerns ... |
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 certain type of trainable quantum procedures used as machine learning models for the classification of images they explicitly show how to implement the circuits for loadi... | this submission proposes a new encoding mechanism ie a new quantum data loader for images with a reduced number of qubits which is then used for image classification with offtheshelf quantum neural networks from tensorflow quantum there are two major concerns raised by most reviewers the first concern regards the novel... |
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 method to generate predictions under fairness constraints by optimizing quadratic penalties over nonconvex loss functions the main idea is to replace the linear fairness ... | the paper presents a method to stochastically optimize secondorder penalties and show how this could be applied to training fairnessaware classifiers where the linear penalties associated with common fairness criteria are expressed as the second order penalties while the reviewers acknowledged the potential usefulnes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes an objectcentric approach to tackle the tasks in the abstraction and reasoning corpus their approach consists of two stages parsing the tasks images to graph representations and ... | both reviewers agree that the approach is interesting generally there is a consensus that the method is easily understood even if one of the reviewer highlighted the need for improved presentation on the contra side of things one reviewer lacks the overall motivation to the proposed approach however as the other review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an empirical solution to coming up with a hierarchy of deep learning tasks or in general machine learning tasks they propose a twoway analysis where powerlaw relations are assumed between... | this paper attempts at ranking of tasks handled by deep learning methods based on learning curves a main premise of the paper is fitting learning curves to a power law and then sorting tasks by empirical estimates of exponents the idea of the paper is quite interesting however the paper makes some bold claims which... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
modeling room and scene acoustics is vital for ar and vr problems realistic rendering of spatialized audio is important this paper builds a representation learning modelschema for parametrizing such acousti... | the authors present neural acoustic fields naf which render sounds for arbitrary emitter and listener positions in a scene overall the reviewers are very positive 8885 the authors addressed many of the reviewers questions about previous related work and rendering spatial binaural audio |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper falls in the broad area of distribution property testing the property studied in this paper being whether a given unknown discrete distribution over an alphabet of size n is a khistogram or is ep... | given samples from an unknown discrete distribution the goal of the paper is to test if it is a histogram over k bins or epsilon far away from all such distributions in the total variation distance authors provide a computationally efficient algorithm and further show that the sample complexity is near optimal the revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in split conformal prediction conformalization is applied using a model that has been trained on a separate training set however the training procedure usually optimizes an objective that has little to do w... | in this paper a new learning scheme for minimizing the confidence set by conformal prediction is proposed most of the reviewers agree that the idea is interesting and novel this is an important contribution to trustworthy ml with theoretically sound considerations and thorough experimental validation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes incorporating a large amount of human knowledge into policy network design such that it solves the problem directly or within a few iterations of training the network is trained by the p... | the paper proposes a design of interpretable neural networks where each neuron is handdesigned to serve a taskspecific role and the network weights can be optimized via a few interactions with the environment the reviewers acknowledged that the interpretability of neural networks is an important research direction howe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a new approach to handling categorical latent variables in vaes the method has two key components a multiagent architecture in which categorical assignments are generated through consensu... | this paper introduces and analyses a method to train a population of vaes with mixed continuous referred to as style and discrete referred to as labels latentvariables the population is trained under the constraint that inferred discrete latent variables to be the same for all models the paper also investigates a data... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an efficient learning framework to estimate extended persistence diagrams epd it decomposes a reformulated version of epd as an edgewise prediction task into independent pa... | a reasonably interesting paper on deep models to approximate a popular class of objects extended persistence diagrams in topological data analysis this is both an important problem since these can be used throughout various parts of graph machine learning and is a challenging one that requires technical innovations the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview the authors study the out of distribution generalisation problem in detail wherein a model may incorrectly use spurious correlations in the data to make predictions on data at test time this is a f... | this paper studies the reasons for failure of trained neural network models on out of distribution tasks while the reviewers liked the theoretical aspects of the paper one important concern is about the applicability of these insights to real datasets the authors added an appendix to the paper showing results on a real... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is one of the best papers i reviewed so far this year iclr nips icml aistats in terms of both the writing and technical novelty writing the author provided sufficient context and did comprehensive lit... | this paper presents new generalized methods for representing sentences and measuring their similarities based on word vectors more specifically the paper presents fuzzy bagofwords fbow a generalized approach to composing sentence embeddings by combining word embeddings with different degrees of membership which general... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of semisupervised learning where the training set contains both labeled images and unlabeled images to address this task the paper proposes a method called rankingmatch whic... | despite the performance gains of rankingmatch over the benchmarks used in the paper the reviewers remained concerned about how the paper compares to state of the art in several respects |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper seeks to answer whether modern dnns are modular and proposes statistical methods to quantify modularity in this study dnns are described as modular to the extent they agree with 2 prototypical co... | paper studies if dnns are modular and proposes statistical methods to quantify modularity cluster the neurons of the network using spectral clustering applied to a graph that is weighted by similarity between the neurons while the reviewers find the question of modularity relevant they raise the issue that the results... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows that irm enforces one more constraint than necessary from viewpoint of the invariance principle resulting in its failures then a modified paradigm is presented along with a practical version... | the paper theoretically considers the formulation of irm for ood generalization and proposes a new mri as a fix to the flaw of the irm the proposed method is empirically shown to give better test loss the evaluations of the reviewers split largely and did not converge unfortunately the paper provides an interestin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the convergence of policy gradient pg methods with direct parameterization algorithm 2 to nash equilibria in general stochastic games the pg methods considered here apply to full gradient... | this paper analyzes the convergence of policy gradient algorithms in generic stochastic games the authors provide local convergence guarantees for projected gradient descent with the reinforce gradient estimator reviewers were generally positive on this paper though i think it needs to be much better contextualized in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes symbolic mapping the main point of this method is to associate objects with words in processing before making pragmatic decisions about what should be said this is then part of a larger r... | this manuscript presents a novel approach to learning a shared language between multiple agents in general reviewers had difficulty understanding the symbolic mapping component for such a critical part of the manuscript questions by multiple reviewers were extremely basic asking what symbolic mapping even is authors d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the overall goal is very interesting focus on fitting the data with expert constraints is really appealing the constraints add the history of the data and allow to search for a correct bn representation of ... | meta review this paper introduces a new structure learning algorithm for bayesian networks that allows one to restrict the search space to bounded treewidths and userdefined arcancestry constraints the main strength is the novel and simple way in which search space restrictions are incorporated into an structure learni... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an rlbased model for mixedsize macro placement the standard cells re placed via gradientbased gpu acceleration and a oneshot conditional generative routing model is devised to perform one... | this paper proposes a neural network pipeline for chip design that utilizes reinforcement learning for mixedsize macro placement and a conditional generative routing network that can perform routing in one shot while the reviewers had some reservations regarding baselines sensitivity to hyperparameters and the resultin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors evaluate some different architectures of neural nets for learning turbulence they showcase the results for four different systems and in terms of several metrics the main conclusion is that a le... | the paper compared different architectures of deep neural nets for learning full 3d turbulence simulations on coarse grids the proposed method predicts more accurately than the classical solvers especially on preserving the highfrequency information the reviews think the paper is clearly written with strong experimen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a novel negative pseudolabeling algorithm to tackle semisupervised fewshot learning the key insight is negative labels are easier to predict therefore pseudo labels on unlabeled samples c... | this paper aims to improve semisupervised few shot learning by utilizing negative pseudolabels the authors report significant improvement over the previous methods in this setting the reviewers originally had concerns about the significance of the results but after the discussion period they all supported acceptance mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
see detailed comments see detailed comments the authors introduce neural free energy to perform map inference in mrf this parametrised form of entropy attempts to generalise previously considered variationa... | meta review the paper proposes a learned variational approximation and corresponding message passing neural network the reviewers found the idea of a trainable variational approach interesting as well as the fact that no map assignments are needed for training |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
graph neural networks and federated learning are both promising directions of works individually this papers is apparently one of the first few attempts to combine them for spatiotemporal data modeling the ... | this paper received mixed reviews two positives 6 6 and two negatives 5 3 however the positive reviewers have very low confidence do not show strong supports for this paper the reviewers raised various concerns about this paper and there still exist remaining critical issues although the authors made substantial effort... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an algorithm to optimize in a pareto set in order to reach a solution or solutions that can minimize an extra criterion the proposed algorithm is highly relevant in the context of multit... | the authors propose the optinpareto algorithm that considers multiobjective optimization and includes an extra noninformative reference metric for choosing between different paretooptimal solutions the reviewers generally agreed that the work was compelling however one reviewer 6mzf brought up the fact that the propos... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies the memorization capacity of deep networks as a function of the number of parameters many prior works have shown that to memorize n examples on parameters are sufficient and tha... | the ac the reviewers and the authors had many discussions about the results in the paper during the discussion period below is a brief summary 1 the paper shows that with on parameters a feedforward neural network can memorize n inputs with arbitrary labels if the inputs satisfy some mild assumptions 2 ac brought u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new outofdistribution ood detection method that makes use of known ood data given a classifier with an encoder that outputs features and a linear classification layer the idea is to de... | this paper proposes an outofdistribution ood detection method where the features of indistribution id samples and those of the ood samples are decorrelated in a classwise manner by using hsic a theoretical guarantee for decorrelation is provided the propposed method conditionali is evaluated on ood detection benchmar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper formulated higherorder cnns into a tucker form and provides sample complexity analysis to higherorder cnns and compressed designs of cnns via tensor analysis it uses then theoretically a... | this paper presents a theoretical analysis of cnn compression using tensor methods none of the three reviewers have strong opinion there scores are 5 6 and 5 the attempt to understand the mechanism of how tensor decomposition compresses cnns is meaningful and interesting however the main contribution of this work is n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study twoplayer zerosum imperfectinformation dynamic games with multiple players and consider algorithms to find nash equilibrium ne the main contribution is a novel approach referred to as temp... | this paper consider an important problem counterfactualregret cfr minimization and proposes a new algorithm to solve this problem reviewers raised many questions and concerns that the authors chose not to answer we can only recommend rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops edgepartition modulated graph convolutional networks a gnn architecture that explicitly models latent relations between nodes in a graph the key idea is that nodes may be organized as ov... | the weaknesses of the paper can briefly be summarised as follows i the suggested motivation is not so clear and in addition the experimental results by themselves questionable in the way they are obtained do not support the main claim of the paper that edges are generated by aggregating the node interactions over multi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary active contour based object detection strategy is transformed into unsupervisedselfsupervised learning setting for segmentation tasks this work proposes to parameterise contour evolution with a co... | 2 out of 4 reviewers suggested weak acceptance of this work while the other 2 suggested weak rejection however most of them acknowledged that the method introduces some interesting methodological insights by combining active contour models with deep neural networks and the main critic seems to be related to the lack of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a doubly robust estimator for counterfactual logistic regression with flexible constraints the authors provide a novel algorithm along with theoretical guarantees and empirical evaluatio... | reviewers agreed that the paper makes interesting theoretical contributions to the problem of counterfactual classification with a novel and valuable result the reviewers pointed out several aspects in which the empirical evaluation could be more thorough though it is my view that is definitely sufficient for validatin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a risksensitive reinforcement learning algorithm based on ddpg for the problem of riskaverse option hedging and equal risk pricing based on dynamic expectiles the proposed algorithm is e... | this paper proposes a risksensitive actor critic reinforcement learning rl method that optimizes the policy with respect to a dynamic iterated expectile risk measure the expectile risk measure has the elicitability property and can be expressed as the minimizer of an expected scoring function which is exploited in cri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a method for fewshot learning for video understanding tasks in a nutshell it works by first extracting information from a given video using pretrained image and language models it uses... | while the reviewers are divided i agree with those with accept the paper introduces an interesting alternative without training on videos and numbers useful for the community the use of pretrained models in a clever way without finetuning is not a weakness but a contribution a reviewer raised a concern about lacking an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is written provides good description of the stateoftheart and comprehensive experimental results the methological contribution is mild essentially changing a buiding block in a stateoftheart neura... | the authors propose an algorithm for enhancing noisy speech by also accounting for the phase information this is done by adapting unets to handle features defined in the complex space and by adapting the loss function to improve an appropriate evaluation metric strengths modifies existing techniques well to better su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a solution for the imbalanced classification method learning the cnn traditionally on training data finding the classes with low accuracy and generatingaugmenting the samples from those ... | the paper received 331 as reviews all reviewers have the consensus on the weaknesses ie limited technical novelty and weak boost in performance in datasets that may not be the state of the art anymore the authors have submitted a rebuttal however the rebuttal did not improve the score of the reviewers following the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the global convergence of sgd under more practical assumptions for the ease of studying the realistic performance for training with nonconvex function and noisy feedback specifically 1 i... | this paper analyzes the asymptotic convergence behavior of sgd on the class of locally hlder continuous functions by generalizing the technique and results of patel 2021 the paper extends and generalizes prior sgd analyses that were conducted under the assertion that certain conditions eg smoothness or continuity hold ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of conditional causal effect identification which asks to recover pydox z from the observational distribution there is a sequence of works that propose an algorithm for this p... | the reviewers are all in agreeement that the paper constitutes a fundamental advance in the theory of causal inference the authors responded to the reviewers remaining questions in a detailed way and there is no further issue with the paper being accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide a detailed and understandable introduction to the medical background the authors tackle the important problem of prostate lesion localization and gg classification the results suggest... | this paper combines attention mutliple instance learning and global patch based approach to localize and classify prostate cancer lesions in mri the methodology is well described and suited to the problem at hand and well validated with a relatively large dataset the authors also clarified several important aspects ra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a hindsight framework for object detection on lidar scans with query of scene feature extracted offline from previous traversals the pipeline is additive and complementary to any realtime... | the paper proposes a framework for object detection on lidar scans with query of scene feature extracted offline from previous traversals overall there is good agreement among reviewers with three recommending accepting the paper and one marginally accepting it to me the authors satisfactorily addressed most aspect ra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
fair division of indivisible goods is a flouring research area in computation social choice there are some works that study the dynamic setting when the items arrive one by one and the algorithm needs to ma... | all reviewers are positive about the paper and found that the problem of sequentialonline fair allocation of indivisible items interesting and relatively new and the theoretical results significant and sometimes surprising technically the paper also has a bandit flavor which makes it a good fit for neurips |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the effect of robustification ie adversarial training or data augmentation of models on the accuracy to seen and unseen perturbations the authors propose a technique to standardize the ro... | the reviewers indicated a number of concerns which i agree with which have not been addressed by the authors as they have not provided any response indeed the paper would be significantly improved once these issues are addressed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the task of curriculum reinforcement learning crl and propose an algorithm gradient which leverages ideas from gradual domain adaptation gda and optimal transport ot essentially gradien... | the submission makes a strong case for using optimal transportbased curriculum learning method principled theoretical insights and convincing experimental study at the same the there is a significant overlap between this paper and prior work on using optimal transport for curriculum learning and selfpaced learning wh... |
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 bayesian optimization method for blackbox optimization problems using a new entropy searchtype acquisition function that combines the advantages of predictive entropy sea... | the authors propose a bayesian optimization method for blackbox optimization problems using a new entropy searchtype acquisition function that combines the advantages of predictive entropy search and maxvalue entropy search the proposed method joint entropy search jes uses the mutual information between the optimal sol... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
graph representation techniques are important as various applications require learning over graphstructured data the authors proposed a novel method to embedding a graph as a vector compared to graph convol... | this was an extremely difficult case there are many positive aspects of graph2seq as detailed by all of the reviewers however two of the reviewers have issue with the current theory specifically the definition of klocalgather and its relation to existing models the authors and reviewers have had a detailed and discuss... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method that utilizing unlabeled data for training to enable the proposed categorylevel 6dpose estimation algorithm generalised to new scenarios a new dataset is collected for implementi... | this paper received 4 reviews with the following scores sr br wa a the reviewers acknowledged importance of the addressed problem the dataset contribution clear presentation and a meaningful approach with solid empirical performance main disagreements were around comparisons with existing methods some published at c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors are focusing in this paper on the development of lookahead mechanism their contributions are the following 1 they provide an improvement upon an already existing convergence rate for the minimi... | the reviews were a bit mixed with a general consensus towards acceptance the authors were one of the first to extend lookahead to minimax optimization and demonstrated its potential through thorough experiments the theoretical results were not as strong or at least not very well presented overall the authors made inter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a generalization of the adagrad type methods using a minmax formulation and then presents two alternate algorithms to solve this formulation it is unclear to me that much extra generali... | all three reviewers found that the motivation for the proposed method was lacking and recommend rejection the ac thus recommends the authors to take these comments in consideration when revising their manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes function level phase ordering optimization in the compiler pass and reports reduction in code size as compared to the oz flag the paper uses benchmarks and datasets from cbench chstone an... | all the reviewers found the idea presented in this paper interesting and timely however there are some concerns about evaluation setup and headtohead comparison it would be great if the authors can provide more details about the evaluation setup particularly the choice of benchmarks and search time comparison between ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a fair contrastive learning method with gradientbased reweighing to learn a fair representation for downstream classification tasks without accessing sensitive attributes the topk loss i... | the paper proposes a contrastive learning approach to learn fair representations without having explicit access to sensitive attributes the approach leverages a small validation set with sensitive attributes to help guide training by assigning persample weights based on the effect on the validation loss all reviewers w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the method provides a joint segmentation of different landmarks in the retina this is very valuable in the clinic specially in diagnosis of abnormalities where the relative position to these landmarks corr... | the authors have clearly clarified the issues raised by the reviewers overall all reviewers are satisfied with the response given by the authors and are glad to see that the quality of the paper has been improved substantially |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a mechanism of relearning iter iterative relearning to handle issue from nonstationarity in rl some gain of using the proposed method is experimentally presented my major concern is the l... | there is a substantial contribution in identifying novel questionsissues as this paper certainly does neither i nor the reviewers have seen this issue of transient nonstationary before and the authors make a compelling case for it especially in the supervised setting with the cifar experiments it is less compelling thr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper advocates the use of invariants for learning symmetrypreserving equivariant representations rather than building a network that maintains group actions at each stage of processing as commonly done... | this paper proposes a selfsupervised framework for learning equivariant representations for a given group from data applications in reinforcement learning support the claims in the paper all reviewers agreed that the approach is interesting to the neurips community accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
privacy concerns arise when data is shared with third parties a common occurrence this paper proposes a privacypreserving classification framework that consists of an encoder that extracts features from dat... | following the unanimous vote of the reviewers this paper is not ready for publication at iclr a significant concern is that the definition of privacy used here is not adequately justified this opens up issues of 1 possible attacks 2 privacyguarantees that are not worstcase among others |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to model the evolution of coupled homogeneous dynamical systems by combining neural ode and message passing in graph neural networks a node is used to model a single subsystem and message... | the manuscript describes a novel combination of message passing graph neural network ideas with node reviewers agree that this is an innovative contribution authors have provided various nontrivial experiments to demonstrate its performance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a spectral algorithm for estimating the item parameters in the rasch item response model the authors show that the proposed estimator is consistent and they provide finitesample error b... | this is a strong paper with interesting theoretical results and important practical contributions much faster parameter learning than prior methods with little performance dropoff all reviewers agreed it was above the bar for acceptance to neurips |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a unified framework algorithm 1 for markov games with symmetric updates and the simultaneous learning of the value functions and the policies the main theorem theorem 2 guarantees that t... | the paper makes interesting progress on issues related to multiagent reinforcement learning providing fast convergence guarantees as well as a unified framework this is definitely a hot topic of research and it would make for a nice neurips contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper applies a method rims that has not seen as much use in medical image analysis applications as far as i know 2 the experimental evaluation involved a wide range of simulated parameter values and... | the paper fits well into midls short paper scope of discussing innovative ideas even if there are still some unanswered questions in the validation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper contributes a tabular benchmark called jahsbench201 which measures the performance configurations in a joint hyperparameter and nas search space over three image classification tasks cifar10 colo... | the jahsbench201 provides a collection of surrogate benchmarks for jahs that will enable research on multiobjective costaware and multifidelity optimization methods there is consensus among the reviewers that the contribution is significant and the discussionrebuttal reinforces the strength of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i consider that improving the generalization capability of neural networks on small dataset is an important line of research and the method proposed here empirically provides great results the proposed mar... | the paper proposed an optimal margin distribution loss and applied pacbayesian bounds that are from sanov large deviation inequalities to give generalization error bounds for such a loss some interesting empirical results are shown to support the proposed method the majority of reviewers think the papers empirical re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles a latencyconstrained structural pruning method by formulating the global resource allocation optimization problem and addressing them via an augmented knapsack solver during the pruning pr... | this paper proposes a hardwareaware pruning method which structurally prunes the given deep neural networks to retain their accuracy while satisfying the latency constraints specifically the authors formulate the latencyconstrained pruning problem as a combinatorial optimization problem to find the optimal combination ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes statistics to identify fake data generated using gans based on simple marginal summary statistics or formal specifications automatically generated from real data the proposed statistics m... | the paper points out a statistical properties of gan samples which allows their identification as synthetic the paper was praised by one reviewer as wellwritten easy to follow and addressing an interesting topic another added that the authors did an excellent job of probing into different statistical perspectives and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a learning framework for compositional representations of goals for goalconditioned rl and proposes to obtain a coarse specification of goals using discretization the goals reside in a lo... | this paper proposes a discrete and compositional representation of goal states for goalconditioned rl the idea is to learn a goal representation via selfsupervised learning and discretize the learned representation via vqvae and finally use the learned goal representation for goalconditioned rl the proposed method impr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i acknowledge that i have read the author responses as well as the other reviews overall i appreciate the clarifications and added experiments given by the authors my concerns about the low novel... | problem significance this paper proposes an attack mechanism in the latent space of a neural network fx which produces outofdistribution examples the ac agrees reviewers on the significance of the ood detection problem particularly addressing the vulnerability aspect is relevant and of great interest to the community ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors utilization whole slide image wsi classification as a classic instance and bag classification problem as most tasks based on whole slide images have slidelevel bag classification labels and smal... | this submission was reviewed by three reviewers all three reviewers provided detailed comments during the review period the authors provided detailed responses to the initial set of reviews the rebuttals lead to improved scores of some reviewers while other reviewers confirmed that their concerns have been addressed gi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces structured deep network architectures that can be analyzed mathematically and have high classification accuracies on complex image databases the proposed mechanism consists of iterating... | after reading the authors response all reviewers recommend accepting the paper the authors provided an extensive response carefully considering all reviewers comments after incorporating the feedback the manuscript improved in terms of presentation relation to the literature and empirical results the paper is very w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use evolutionary algorithm to learn truncated deep latent variable model the method get good performance in denoising task pros quality the method seems correct on denoising task ... | the paper presents an evolutionary optimization framework for training discrete vaes which is different to the standard way of training vaes one of the main criticism of the paper was the choice of experiments but the authors addressed this point by adding an inpainting benchmark unfortunately the reviewers scores are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall and positives the paper investigates the problem of multidocument summarization without paired documents to summary data thus using an unsupervised approach the main model is constructed using a pa... | this paper introduces a method for unsupervised abstractive summarization of reviews strengths 1 the direction developing unsupervised multidocument summarization systems is exciting 2 there are interesting aspects to the model weaknesses 1 the authors are clearly undecided how to position this work either as int... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a skill discovery method given a set of symbolic states state abstractions the method consists of two parts in the first part a lowlevel controller a pis0 k which can be regarded as an o... | reviewers like the novelty of the formulation and the good writing shared concerns include the limited experiments and the contrived setup other concerns include those on generalization and related work please consider addressing these points the authors did a good job during the rebuttal period after which all revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves that the adaptive temporaldifference td learning with relu neural network approximation converges when the width of the network is sufficiently large moreover this paper proves that adapti... | the reviewers agree that the theoretical results presented in the paper are solid and advance our understanding of the behavior of temporal difference td methods which are at the core of most reinforcement learning algorithms the contributions of the paper can be summarized in two main results adaptive td combined wi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submitted paper studies 3d scene geometry reconstruction and proposed a pipeline for predicting signed distance fields from incomplete pointcloud data the pipeline consists of two major components an au... | this paper introduced a probabilistic extension to a pipeline for 3d scene geometry reconstruction from largescale point clouds all reviewers recognized the significance of the proposed approach and praised the simplicity of deriving a probabilistic version of generative cellular automata that performs well in a numbe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a new active learning setting where instead of querying for a label for a particular example the oracle offers a partial or weak label this leads to a simpler and more natural way of r... | this paper is on active deep learning in the setting where a label hierarchy is available for multiclass classification problems a fairly natural and pervasive setting the extension where the learner can ask for example labels as well as a series of questions to adequately descend the label hierarchy is an interesting... |
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:
summary the paper presents a novel approach to improve the accuracy of regression models that are learned from a skew dataset the proposed approach consists of two parts namely i adversarial network for ... | this paper addresses the realworld problem of semisupervised learning where the distribution from which the labeled examples are drawn is different from the distribution from which the unlabeled examples are drawn the task is motivated by structureactivity prediction for drug design quantitative structure activity pre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after rebuttal thanks a lot for the authors extensive experiments and good explanation to my questions i would increase my score the basic idea of this paper is promising and useful however there are stil... | this paper proposes an early stopping strategy based on the disparity of gradients between two batches from the training set such a criterion would make the heldout validation set unnecessary the idea is motivated by theoretical arguments and benchmarked on experiments but some issues still need to be worked on regar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summarizing the paper claims the paper addresses the problem of reducing the number of function evaluations nfes during neural ode training with adaptive solver and the adjoint method namely the authors cl... | the paper focuses on neuralode and shows that for the implementation popular among ml community one of the equations is not an ode and can be replaced by an integral this is implemented using seminorm just assigning zero weight to the last equation pros well written useful to replace the standard implementation c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a modified approach on top of an existing method dsvdd for anomaly detection with a state of the art achievement in the unsupervised setting in my opinion the model itself is ... | the paper touches upon explainable anomaly detection to that extend it modified hypersphere classifier towards fully convolutional data description fcdd this is as also pointed out by two of the reviewers a direct application of a fully convolutional network within the hyperspherical classifier however the paper also ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the purpose of this paper is adequate to real environment situations in hospitals the consideration of using unseen scores is good in a clinical situations which should be addressed when the application is ... | the initial reviews were mixed but the authors wrote a convincing rebuttal and made a revision of the manuscript changing the initial rating of two reviewers to accept some reviewers did not provide a response to the rebuttal given the rebuttal of the authors and the changed opinion of two of the reviewers i recommend ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new task of video text visual question answering vitevqa which extends the previous textbased visual question answering task into the video domain the proposed task aims at answering q... | the paper presents a new video text vqa dataset along a new baseline the reviewerss key concerns are around the size and difficulty of the dataset the authors successfully address those during the discussion and revision period the dataset is likely to be of interest to the community and was nontrivial to construct |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a framework to use language models like transformers to be used for decision making in interactive environments the authors also present the features of this approach and present experim... | this paper adapts the pretrainthenfinetune framework to policy learning using large language models and demonstrates its effectiveness they also develops an active expert data gathering approach for settings where no expert data is available all reviewers find the empirical findings in the paper interesting and the wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose lmces and lmccs which are late interaction neural architectures for mces counting the number of common edges and mccs the maximum common connected subgraph based graph retri... | this paper presents a neural method for the graph retrieval problem reviewers agree with the technical contribution of this paper its empirical soundness and the well written presentation discussions in rebuttal and additional experiments provided useful information and made this paper stronger we suggest the authors u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the socalled twoplayer zerosum markov game they provides theoretical analysis of the convergence to the nash equilibrium of practical gradient descent ascent gda algorithms with some new n... | the paper studies the problem of finding the nash equilibrium of a twoplayer zerosum markov game despite nonconvexity this minmax optimization satisfies the pl condition and hence it is easy to solve the authors rigorously studied the iteration complexity of this problem the reviewers found the paper well organized and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an analysis of a generalized fourier transform for signals on dags this is a linear transformation that diagonalizes a generalized form of causal shift on dags the fourier features are us... | strong paper that presents a novel form of fourier analysis for causally structured data reviewers agree on the novelty quality of presentation and value for the workshop accepted for an oral spotlight presentation |
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