Input stringlengths 251 41.6k | Output stringlengths 137 9.7k |
|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper develops and presents approximations of three boolean logic based activation functions and or xnor these activation functions are based on the principle that neurons encode logits to represent pre... | the paper is well written and deals with a simple yet interesting introduction of approxithe paper is well written and deals with a simple yet interesting introduction of approxithe paper is well written and deals with a simple yet interesting introduction of approxithe paper is well written and deals with a simple yet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the fair ranking problem under a model where sociallysalient protected attributes of items are randomly and independently perturbed the authors provide a fair ranking framework that incorp... | this paper looks at the fair ranking problem a known variant of ranking where group fairness constraints typically hard sometimes soft are imposed on the traditional ranking objective but where membership of each item to be ranked in a group aka the sensitive attributes value associated with that item is unknown the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study how to improve the prediction and pruning performance with additional information generated by labels in the sharedlabel classification problem as a starting point the authors consider a s... | this paper tackles the problem of classifying a set of points given the knowledge that all points should have the same class there seems to be a consensus among the reviews that under the assumptions made the authors provide thorough experiments convincing that their method is useful however the paper has two weaknesse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes a recently proposed nonequilibrium importance sampling approach to integrating estimating the partition function of intractable densities this approach provides an unbiased estimator wit... | this paper studies the properties of a nonequilibium importance sampling method for unnormalized densities the reviewers unanimously agreed the paper is wellwritten and the contribution is novel several reviewers expressed concerns on the practicality of the algorithm and that the empirical results do not adequately sh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary children generalize to new sights that combine known perceptual elements children generalize to new instances of known abstract concepts like order and number children know what actions they can ... | this paper proposes a new task domain for learningbased ai agents halma a game that is designed to bring together multiple areas of research in ai perception in the form of recognition of mnist digits learning mathematics in the form of arithmetic operations on the natural numbers and navigation and planning when comb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents parallels between algorithmic fairness and domain generalization literatures the authors explore a learning setup where the goal is to learn some representation phix that is independent ... | the paper analyzes connections between algorithmic fairness and domain generalization literatures the reviewers found the paper interesting but they also raised some important concerns about it the applicability of the method presented in the paper is not clear nor welldiscussed in the paper the papers and the revise... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the extreme multilabel classification xmc problem and proposes a method called elias 1 elias adopts a twolayer index for representing extremescale labels and it learns overlapping clu... | the paper considers extreme multilabel classification xmc and proposes a twostage retrieval and classification model which replaces the usual initial hardpartitioning with a soft learnable partitioning the reviewers concur that the endtoend methodology for jointly training the representation indexing classification par... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper jointly trains a sentiment classifier with a sentiment and domainaware embedding model using both labeled and unlabeled data when sentiment label is observed this model is trained with the usual ... | pros the paper is well written cons not very novel evaluation only on sentiment classification whereas approaches applicable in broader context exists there are question re baselines r3 neither reviewer was particularly enthusiastic about the paper i believe mostly because of the limited score and novelty |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a trainingtime pruning method for deep neural network the main idea is to include network elements only if they could improve the predictive mean of the saliency where the saliency measu... | this paper considers the problem of pruning deep neural networks dnns during training the key idea is to include dnn elements only if they improve the predictive mean of the saliency efficiency of the dnn elements in terms of minimizing the loss function the objective of early pruning is to preserve the subnetwork that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
further comments after the rebuttal first i would thank the authors for the great efforts in trying to address my comments i should say that many of my previous concerns have been clarified again i like th... | this paper presents a novel theoretical analysis for unsupervised domain adaptation based on fdivergences the reviews unanimously pointed out the interest and the quality of the theoretical part however some limitations in the experiments presentation and the significance of the result have been raised the authors prov... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the provided code is welldocumented thus enhancing the reproducibility 2 the presented approach seems suitable for the problem at hand and the experimental results are fair the explanation of their pro... | meta review this paper applies reinforcement learning rl to learning a robust policy in restless bandits which performs well in the worst case this is a major departure from the traditional approaches to restless bandits where the policy is designed manually to have low regret in theory while the authors analyzed an id... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the objective of the paper is to provide a theoretical justification for the value of using adaptive learning steps the paper presents two results the first is essentially of theoretical interest and assume... | the paper studies the problem of stochastic optimization where the gradient noise process is nonstationary while this is an important problem in the community the reviewers find that the assumptions are poorly justified while the authors provided extensive feedback the reviewers did not change their initial assessment ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to defend the common membership inference attacks this paper proposes a relaxed loss with a more achievable learning target to reduce the attack accuracy and also help with the generalization gap of learnin... | the paper proposes an approach and specific training algorithm to defend against membership inference attacks mia in machine learning models existing mia attacks are relatively simple and rely on the test loss distribution at the query point and therefore the proposed algorithm sets a positive target mean training loss... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interactive 3d segmentation methods are of high practical interest the evaluation on several datasets seems meaningful rigorous and complete indicating that the approach works for different data and conditi... | this paper proposes a framework for interactive segmentation the main contribution is in the use of uncertainty to select slices for user corrections the paper received mixed scores initially mainly due to the lack of clarity in important components of the framework the authors provided very detailed responses addressi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a benchmark to evaluate approximators for wasserstein1 distances as loss functions in the generative adversarial network setting s1 while previous works use discrete distributions for b... | this paper proposes a new benchmark to evaluate the solution of optimal transport problems the reviewers concur that the benchmark is wellexecuted and novel some are concerned that a better benchmark for ot problems will not drive progress as the successes of wasserstein gans occur despite their failure to solve ot how... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors designed two nearest neighborbased classifiers based on visual correspondences namely emdcorr and chmcorr the emdcorr is similar to zhao et al 2021 and solves an optimal transport ... | this paper proposes a classifier based on different refining strategies of the closest nearest neighbors using intermediate features providing explanations in the form of example images the authors demonstrate that it is possible to achieve complementary humanai team accuracy in image classification in general the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a formal framework to compare position embeddings pes and presents an empirical study comparing variants of absolute position embeddings apes and relative position embeddings rpes on thr... | with the advent of nonrecurrent sequenceprocessing models it has become costumary to augment input tokens with positional embeddings providing implicit positional information despite their potentially crucial role in modern architectures such positional embeddings are rarely addressed in analytical studies the current ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the foundamental problem of bellman operator in rl the authors proposed a proximal bellman operator that updates that incentivize the online network to remain in the vicinity of the targ... | this paper proposes a a simple method to improve the robustness and sampleefficiency of valuebased deep rl methods the idea is to regularize parameters not to deviate much from targetnetwork parameters the paper also provides theoretical results showing its convergence property and justifying why the proposed method ca... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel principled view of dimensionality reduction using probabilistic graph coupling that allows to retrieve several modern approaches such as sne tsne umap and largevis and more classi... | this paper aims to develop a statistical framework for developing a more rigorous understanding of well known methods such as tsne and umap there was consensus among the reviewers that the proposed framework makes considerable progress in understanding the mentioned methods |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed brain network transformer that learns representation from brain network with a transformerbased design more specifically the two main designs of the proposed brain network transformer ar... | this paper was reviewed by four reviewers three reviewers have participated in the discussions and they are all finally convinced and provided positive recommendations the fourth reviewer was negative about this paper with some concerns the authors provided very detailed rebuttals but the reviewer did not respond to re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses the problem of rl based sequential recommendation system and proposes a modelbased learning method to solve the offline rl in realworld applications it addresses the two challenging pro... | this paper is rejected the authors focus on offline rl for the sequential recommender system problem and propose an approach that builds multiple models based on splits of the offline data using domain knowledge splits the policy into a context extraction system and context conditioned policy similar to rakelley et ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of open world object detection a lifelong learning system where the object detector is required to detect objects belonging to all classes known so far and unknown objects u... | this paper presents work on openworld object detection the main idea is to use fixed percategory semantic anchors these can be incrementally added to when new data appear the reviewers engaged in significant discussion around the paper with many iterations of improvements to the paper initial concerns regarding zer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes vicregl a method that extends the existing global vicreg objective with local contrastive objectives where the loss is applied at the level of feature pixels between spatial locations in ... | this paper proposes to extend the existing vicreg objective to the local features for obtaining good performances on both imagelevel and dense prediction tasks in specific while the global features are obtained by an average pooling on the output feature maps the local pairs are determined by both of the feature distan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors discuss bayesian pseudocoreset methods that uses reverse kl kl and wasserstein metrics special cases they link these algorithms to data distillation as different posterior choices their main met... | there was a consensus among reviewers that this paper should be accepted the authors formulate dataset distillation methods as approximate bayesian pseudocoreset procedures which appears to be a novel viewpoint they further propose a new coreset procedure and show that it performs well the paper appears to be wellwritt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new contrastive neural text generation framework cont which improves contrastive learning in neural text generation from three aspects the construction of contrastive examples the choi... | this paper received mostly positive ratings but the reviewers also had some overall reservations about the novelty of this work and that makes this paper relatively borderline pros the paper makes three targeted contributions to contrastive learning in text generation to help mitigate exposure bias problem and the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel approach to predict room impulse responses in a fewshot learning setting where only very limited data is available more specifically only a small number of echoes obervation in t... | reviewers are in agreement that the paper should be accepted and the authors were able to address concerns leading to an increase in score from one of the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to improve the quality of the parametric bootstrap when the number of particles is limited it does so by constructing a small collection of centroids that wellapproximate the ideal bootstrap... | the submission aims to improve the quality of the bootstrap when the number of samples is small it does so by gradient descent on the to approximate the ideal bootstrap in wasserstein distance the submission combines a nice set of methodologies and aims to address an interesting statistical problem in a principled wa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an optimizationbased algorithm for bitflipping a limited number of bits in a quantized binarized deeplearning model so that the prediction on a target input example is flipped while the ... | the major concerns about this paper are that 1 there are too many hyperparameters such as those needed for admm id point out that there are adaptive variants of admm and heuristics methods for choosing optimization hyperparameters although it would be nice if the authors addressed these issues in the paper 2 some revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a benchmark challenge on mouse brain mri data the three tasks consist of macrolevel region classification pixellevel microstructure classification and estimation of semantic features the... | this paper introduces an mtneuro benchmark on a large 3d xray microtomography imaging dataset that encompassed multiple brain areas three tasks are designed covering a wide range of scale from pixel level to the whole image regions and various supervised as well as selfsupervised algorithms are evaluated on the establi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses distances between the persistent diagrams of states of neural networks and observe that during training there is a high correlation with the corresponding validation accuracy of the model the... | this paper got uniformly strongly negative reviews the issue of estimating or bounding generalization accuracy from performance on the training set has a huge history and literature after considerable discussion the reviewers uniformly find this paper lacking in making a contribution to that literature |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a new vae architecture for performing causal inference it shows superior precision on estimating the heterogeneous effect and lower bias in estimating the treatment effect cl... | the authors suggest a vae model for causal inference the approach is motivated by cevae louizos et al 2017 which uses a vae to learn a latent representation of confounding between the treatment target and covariates this paper goes beyond this approach and tries to design generative model architectures that encourage l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study the problem of routing users according to their requests through a network with unknown congestion functions over infinite time horizon they model the problem as follows a d... | the paper proposes an algorithm with sublinear regret for the problem of routing users through a network with unknown congestion functions over an infinite time horizon the reviewers generally appreciated the main contribution of this work one of the reviewers also felt that although it may be possible to obtain the ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall the paper achieves the identification goal by placing somewhat different but possibly strong conditions on the data generating process so the identification becomes somewhat easier nonetheless it sh... | i follow the recommendation of the three reviewers to accept this paper i encourage the authors to address the questions and typos of the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to learn vaes with binary latent variables rather than relying on commonly used continuous relaxation techniques the authors completely forgo the encoder neural network and p... | this paper presents a new approach for learning binary latent variable models using evolutionary optimization pros a new perspective to learning binary latent variables is proposed using evolutionary algorithms the proposed method works well on auxiliary tasks such as zeroshot denoising and inpainting cons the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents wgraphs a method to capture classify and simplify the multiple users workflow of designing a 3d model to construct the graph representation the paper describes how to process th... | meta by r2 overall the reviewers were positive in their reviews they all agree that the paper is well written and presents an interesting idea r1 finds the paper wellmotivated an both r1 and r2 both point out that the paper has good coverage of related work as of improvements to the paper r3 would like some more deta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a model architecture for reading comprehension based on a large number of binary features corresponding to propositional overlap in terms of srl and as far as i can tell token surface for... | all reviewers agree that this paper does not meet the bar for iclr the reviewers provide detailed feedback to the authors on how to improve the writing as well as the overall content of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach to mitigate the overestimation issue which is quite common in rl algorithms whenever computing boostrap target is needed the key idea is to introduce a weight parameter betwee... | the reviewers were in agreement that the paper is below the bar for acceptance and the authors did not provide a response to reviewer concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
adacat is based on the observation that high precision is often only required in a small subset of a distributions support specifically the adacat distribution is a particular subfamily of mixtures of unifo... | meta review reviewers mostly found the method to be novel simple and useful it addresses an important problem in the realm of density estimation and shows convincing experimental results on a very diverse set of problems in addition the writing and presentation are clear and compelling during the discussion the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the use of importance sampling in budgeted training four importance sampling techniques from prior works are applied within the context of fixed training budgets and compared under ... | this work investigates how importance sampling strategies can improve training with budgeted constraints with a focus on the benefits from variety provided by dataaugmentation samples initial clarification issues raised by the reviewers were taken into account such as a new title clarification of some explanations and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses large batch training at its limit fullbatch cifar10 training when no stochasticity is introduced this setting allows authors to examine and discuss the common conception about the gener... | this paper carefully shows how all the stochastic elements in neural network training could be removed by using full batch and a dataset with fixed augmentation and still maintain good performance by adjusting hyperparameters and adding explicit regularization all reviewers were eventually positive and recommended acc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a postprocessing method to generate fair multiclass classification models based on the information projection technique which formulates fairness as a linear projectionbased constraint t... | i recommend acceptance for this paper due to the uniformly positive reviews which emphasize the relevance and novelty of the proposed method for fair multiclass classification the method is wellsupported experimentally and the authors introduce to the ml literature a new benchmark classification task during the discuss... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the question of why deep metric learning dml approaches are unable to make more than incremental improvements on classical datasets and tasks specifically the trained models fail to recog... | this paper approaches the problem of debugging failures in deep metric learning developing and applying a more efficient version of influence functions called eif empirical influence functions that is shown to effectively help rootcause failures to ambiguous or poorly labeled examples in standard training sets the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work advocates evaluating predictive distributions via joint predictions rather than the standard practice of evaluating marginal predictions and introduces the neural testbed an opensource software wh... | the paper describes a new testbed to evaluate bayesian techniques in the context of joint predictive distribution since this is not the first paper that considers marginal vs joint distribution evaluation the paper should include a thorough discussion of the differences with prior work the paper simply states that it... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the convergence rate of the asynchronous actorcritic algorithm with linear value function approximation for rl this paper showed a3ctd0 has oepsilon25n sample complexity per worker wher... | although the reviewers found the paper wellwritten that analyzes a relatively popular algorithm td0 version of a3c there are concerns regarding the novelty of the convergence results given those for a2c the comparison of the results with those for a2c and the sufficiency of the experiments although the authors addresse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper compares learning from dynamics lfd and learning from intuition lfi in the context of physical reasoning through four sets of experiments it concludes that the stateoftheart lfi method is at least... | this paper investigates a simple and important question does learning to predict physical dynamics help an agent perform better physical reasoning while most prior work automatically treats this as a given the paper provides interesting findings that intuitionbased learning is better than dynamicsbased learning especia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to quantify the complexity of a learning task the paper is motivated from the 20 questions game where an agent computes the answer label via a sequence of questions asked on the... | this paper proposes a measure of task complexity based on a decisiondag like encoder where we iteratively branch on some test on the input and the selection of future tests depends on the answer to previous tests until we reach a terminal node in the dag we require that if x and x reach the same terminal node then pyx... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces approaches to interpret multiple instance learning mil models these approaches are designed to quantify the contribution of each instance given a specific class authors provide empiric... | the paper studies interpretability in multi instance learning where model is trained with a label provided for a bag of instances the author proposes modelagnostic weightsampling strategy to improve sampling in prior methods such as shap and evaluate their performance on three datasets and authors provided results on m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of learning an opponent model in a multiagent environment what makes learning hard is that the opponent can be learning at the same time the paper proposes an algorithm calle... | this paper tackles the challenging problem of learning against an opponent that may or may not be simultaneously learning as well the key contribution of this paper is a learning algorithm that accounts for how the opponents may update their policies from past interactions the proposed algorithm mbom relies on the envi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the effect of gradient clipping in federated learning and how it affects the convergence rate they focused on the relaxedsmooth loss function each worker uses local gradient clipping and... | this paper made a solid contribution studying the convergence rate of a simple distributed gradient clipping algorithm the proposed algorithm simply clips the gradients on each local machine and then do simple distributed update of the parameters the result if correct is quite strong and significant the proposed algo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a donskertyped theorem for projected wasserstein distance in linfty norm over the projected directions ball sd1 from that it derives limit theorems for some wellknown sliced wasserstein d... | after the rebuttal period the reviewers have come to an agreement on the paper being novel interesting the contributions being significant the rebuttal also addressed most of the concerns though i agree with reviewer 84jv on the comment that experiments on noncompact settings would be a plus to see the limits of the th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a theoretical paper that studies the feature learning properties of neural networks nn and the importance of input structure on the advantages of nns over fixed feature models like linear or random ... | the authors theoretically analyze learning of twolayer neural networks by gradient descent with respect to a data distribution that exposes how useful features are learned during training overall the reviewers felt that the analysis yielded useful insight and was original during the discussion period a reviewer recom... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly improves the idea of pruning filters for efficient convnets by encouraging the pruning with a 01 optimization instead of a greedy manner experiments validate the effectiveness of the propo... | this paper proposed a new optimization framework for pruning cnns considering coupling between channels in the neighboring layers two reviewers suggested acceptance and two did rejection the main concerns of the negative reviewers are a limited novelty b limited performance metrics and c limited baselines the authors r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies pure exploration for stochastic combinatorial multiarmed bandits for the fixed confidence setting thus the goal is to take actions so that the optimal action is identified with high proba... | the reviewers overall thought the problem was worth studying however no reviewer was particularly excited about this work the main concern was that the new problem formulation is difficult to compare to prior work reviewers felt both more explanation and a deeper detailed comparison would make this a stronger paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents structured energy as loss seal that uses structured energy networks as a trainable loss for a feedforward network seal is a general framework that supports multiple loss functions includi... | this paper proposes a new method for multilabel classification which leverages the advantage of the emerybased model however one reviewer and the area chair have two serious concerns on the experiments 1 the proposed method is only evaluated on low dimensional datasets 2 some important baselines methods are missing whi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents challenges faced by motion graphic designers based on an interview of 19 casual and professional motion designers working on a range of motion graphics projects their results reveal the d... | the reviewers are all in agreement that this paper has some valuable contributions and strength the work is relevant to the community has pretty solid methodology and has potential to be useful however it also some major flaws the biggest seem to be the limited grounding in relevant academic literature see the reviews ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the geometry of two subclasses of the hyperbolic wrapped normal distribution hwn with the goal deepen the understanding of which family is more appropriate for probabilistic machine learn... | the paper proposes the rotated hyperbolic wrapped normal rown distribution which improves hyperbolic wrapped normal hwn distribution in representing hierarchical implicitly tree structured datasets eg wordnet the idea is to include a learnable rotation matrix in the generative process the initial soundness concern rais... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
exhaustive experiments with respect to normalization methods good analysis of the results interesting use of clic although it should have been more clearly explained interesting problem to adress lack... | all reviewers agree that the idea of investigating different intensity normalization methods for mitochondria segmentation in em images is of an interest to the midl community there were major questions on several details of the proposed approach including experimental settings but the authors have clarified most of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper considers the question of quantifying the uncertainty that arises from the optimiser used to perform inference in a given model taking a bayesian approach the aim is to deduce the poste... | the reviewers felt that the idea of learning a posterior distribution on optimization algorithms is very novel however the negative flip side of this novelty was that it was not clear how the prior and likelihood were defined so that bayes rule could be approximated the three reviewers appeared to find the paper somewh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe paper proposed a selfsupervised learning framework and a dual network to improve the performance of fewshot learning the dual network is based on gnn architectures and learn the relationship betwe... | this work proposes a socalled selfsupervised approach for fewshot learning the selfsupervision doesnt refer to the lack of use of any labels as in regular selfsupervised embedding learning methods here support sets are labelled but refer to the fact that the query sets labels arent used in their proposed objective inst... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focus on the knowledge distillation of gnn where the teacher gnn has access to the complete version of a sometimes large graph and the student gnn is only exposed to parts of it the authors intro... | in this paper the authors propose the first distillation method for gnn to promote the transfer of knowledge from a large graph to a smaller graph the authors propose an extension of neural heat kernel to encode information in the gnn and use it to propose geometric knowledge distillation numerical experiments are do... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates when neural pruning approximation bounds useful from several perspectives showing that approximation bounds are loose and require a large sample size it also explores the influence o... | this work studies corsetbased pruning strategies for neural networks and highlights the looseness of approximation bounds the difference between approximation error and probability and the importance of considering postpruning finetuning i found the empirical findings and concerns raised around the utility of approxima... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the strength of the paper is represented by an improvement in functional form complexity that a metric elicitation me framework can handle from linearquasilinear to quadratic the paper approaches the proble... | meta review all reviewers agree that this is an interesting and valid contribution following an quite interactive discussion between reviewers and authors authors should include the modifications suggested by the discussions in the final paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to train a ghn model that can predict weights of each layer the architecture is represented in adjacent matrix format where a node represents one layer and an edge indicates whether two node... | meta review of federated learning with heterogeneous architectures using graph hypernetworks this work investigates a method for federated learning in a neural architectureagnostic setting they do this by using a graph hypernetwork to predict the weights of given neural network architectures which is not exactly known... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to generate training data for symbolic reasoning by training gans based on transformers specifically the paper explores two methods standard gan and wasserstein gan which has a transformer... | the paper aims to improve complex reasoning in this regard authors identify that acquisition of data for symbolic reasoning domains is a challenge and propose generating the data by gans a transformerbased architecture is proposed and trained for ltl and symbolic mathematics experiments show samples generated are of go... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes probing bert representations by projecting them into a poincare subspace the proposed approach is used to probe elmo and bert for both syntax and sentiment in comparison with the convent... | the paper introduces a new method to probe contextualized word embeddings for syntax and sentiment properties using hyperbolic geometry the paper is written well and relevant to the iclr community reviewers highlight that the proposed poincar probe offers solid results extensive experiments that support the benefits of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the original paper op proposes using selfsupervised learning ssl as a datadependent regularizer in meta learning tasks its primary claims are as follows ssl improves the performance of fewshot meta... | a very solid reproduction report that confirms all of the main claims of the original paper that was surveyed furthermore it performs additional experiments showing the limitations of the original method and shares the code and details necessary to continue building upon this work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a framework for training a selfdriving policy by augmenting imitation loss with additional loss terms that penalize undesired behaviors and that encourage progress the policy takes as in... | the authors present a method for training a policy for a selfdriving car the inputs to the policy are mapbased perceptual features and the outputs are waypoints on a trajectory and the method is an augmented imitation learning framework that uses perturbations and additional losses to make the policy more robust and ef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using a budget generator to generate nonuniform radii for certification the budget generator is trained jointly with the certified defense to change the shape of the perturbation set whil... | reviewers raised various concerns about the motivation unclear justification of the idea and claim insufficient comparison with related work and weak experimental results while authors had made efforts to improve some of these issues in the rebuttal the revision was not satisfied for publication quality overall the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper examines the use of ste for learning simple onelayer convolutional networks with binary activations and non overlapping patches in this setting the gradients are 0 almost everywhere gradient of si... | the paper contributes to the understanding of straightthrough estimation for single hidden layer neural networks revealing advantages for relu and clipped relu over identity activations a thorough and convincing theoretical analysis is provided to support these findings after resolving various issues during the respo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission contributes an approach to handle missing values in neural networks by replacing inside the architecture the missing values by placeholders which cancel the role of the feature in the archit... | the paper presents a simple and intuitive method to prune the missing value in the learning and inference steps of the neural networks leading to similar prediction performance as other methods to impute missing value it has some really useful insights but could benefit from one more round of revision for a strong publ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the phenomenon of neural collapse nc for a wider variety of loss functions for classification as well as mse adapted for classification in the balanced multiclass problem they broaden the... | this paper demonstrates that the neural collapse phenomenon first observed under cross entropy and mse losses occurs with a broad family of other loss functions the authors include a theoretical justification of this phenomenon as well as experiments exploring its implications overall this paper makes an important co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the method proposes entropybased optimization of prompt tokens during test time to this end the image is augmented with different views to make a batch of 64 samples noisy samples are filtered based on the ... | this paper proposes a technique for training prompts for openvocabulary vision models eg clip at test time ie without any labeled data the model is trained to minimize the entropy of the average prediction of many augmented views of a test image this improves performance to varying degrees without requiring any additio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a dataset protection approach untargeted backdoor watermark via crafting untargeted backdoor attacks for the protected dataset the authors propose their method in two different settingsi... | this paper proposes a methods to verify unauthorized use of opensourced dataset the idea is to inject verifiable backdoor watermarks the authors first show that existing backdoor watermarks can be exploited by adversaries for attacks they then proposed novel untargeted backdoor watermarking techniques that are both eff... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper under review builds useful insights and novel methods for graph convolutional networks based on the lanczos algorithm for efficient computations involving the graph laplacian matrices induced by t... | the reviewers unanimously agreed that the paper was a significant advance in the field of machine learning on graphstructured inputs they commented particularly on the quality of the research idea and its depth of development the results shared by the researchers are compelling and they also report optimal hyperparamet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
originality the method provides a novel approach to datadriven propensity subclassification significance psps addresses an important problem in an interesting way by integrating the propensity and the caus... | the paper proposes a causal inference algorithm for automatic selection of strata for propensity score subclassification and joint optimization of the treatment and the outcome model empirically the proposed method performs better as compared to other baselines in a small scale simulation study the paper got mixed revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview the authors present an approach to learn blood oxygen levels using respiratory signal data this might be relevant for various contexts such as ards or covid19 unlike using pulse oximetry it doesnt ... | two referees indicate reject one supports weak accept my impression is that major points of criticism raised by the reviewers mostly about limited novelty and somewhat inconclusive experimental results could not be addressed in a clearly convincing way during the rebuttal phase i will therefore recommend rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an orthogonal subspace decomposition osd method for the face clustering task the osd module can learn more discriminative node features by combining subspace learning and feature selecti... | during the discussion phase although the reviewers acknowledge the effectiveness of the proposed approach they raised the concern about the novelty of the paper in my opinion i also agree that the novelty is not well justified in this paper in the related work section although the authors put an effort to review the e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work tries to tackle the problem of domain generalisation in multisource setting the main claim of the paper is that by maximising inner product between gradients from different domains leads to better... | this paper proposes a new method for domain generalization the main idea is to encourage higher innerproduct between gradients from different domains instead of adding an explicit regularizer to encourage this authors propose an optimization algorithm called fish which implicitly encourages higher innerproduct between ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
transformer based bidirectional lms pretrained using masked language model loss typically share input and output token embeddings this paper makes an interesting investigation about decoupling input and out... | this paper makes a thorough investigation on the idea of decoupling the input and output word embeddings for pretrained language models the research shows that the decoupling can improve the performance of pretrained lms by reallocating the input word embedding parameters to the transformer layers while further improv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the current paper proposes using graph convolutional networks gcn to explicitly represent and use relational data in dialog modeling as well an attention mechanism for combining information from multiple so... | this paper describes a graph convolutional network gcn approach to capture relational information in natural language as well as knowledge sources for goaloriented dialogue systems relational information is captured by dependency parses and when there is code switching in the input language word cooccurrence informatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes deep logic networks that can train with backpropagation and inference with binary values the logic networks comprise logical gates arranged in layers randomly selected connections betwee... | the paper proposes to train classifiers for binary data based on logic gate networks also called arithmetic circuits or algebraic circuits in the knowledge representation and complexity literature 12 the main motivation is that once trained they can be run fast by leveraging only binary operations the authors achieve t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the missing label problem in the extreme classification setting in particular 1 it provides unbiased estimation of all kind of losses decomposable or non decomposable over labels under t... | this is a borderline paper the reviewers lean towards acceptance but do have reservation about the paper i have also read the paper in order to make an informed recommendation in the end ive decided to recommend against acceptance at this point for the reasons ill describe below i do understand and sympathize with the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a densetodense paradigm that utilizes the dense guidance of teacher to supervise the students specifically dense teacher guidance dtgs dense supervision is achieved by inverse nms cluste... | this paper proposes a densetodense semisupervised object detection method where the teachers nms is used to guide the clustering and ranking of bounding box candidates from the student this is motivated from potential noise resulting from sparsetodense pseudolabel supervision in existing methods results are shown on ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the global convergence of policy gradient for multiagent markov potential games the authors define a notion of potential markov games that seems natural and show convergence to nash polici... | this paper looks at stochastic and markov potential games its different results including the sample complexity ones are overall interesting and relevant for the community this said we had an intense discussion as several of the aforementioned results actually closely related results not the exact same one already ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed differentiable yarnlevel dynamics for fabrics compared to the previous differentiable cloth model this paper is more specific and finegrained they carefully design the shear force and co... | this paper introduces a differentiable yarnlevel model of fabrics the model is more detailed and physically realistic than proposed in earlier work which may allow for applications to manufacturing guidance and textile design the paper is generally wellwritten and contains detailed problem formulation and derivations e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new approach to learning quantized deep neural networks which overcome some of the drawbacks of previous methods namely the lack of understanding of why straightthrough gradient works ... | a novel approach for quantized deep neural nets is proposed which is more principled than commonly used straightthrough gradient method a theoretical analysis of the algorithms converegence is presented and empirical results show advantages of the proposed approach |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a nonparametric version of the ktrianglefaithfulness assumptions and shows that under that assumption there is a uniformly consistent procedure for identifying the markov equivalence clas... | this is a theory paper that tries to generalize the ktrianglefaithfulness assumption to nongaussian nonparametric cases though the reviewers found the result having interesting things the readability and clarity are not sufficiently good i want the authors to reflect all the points raised by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a paper that focusses on the timely and important problem of uncertainty quantification for the predictions of deep neural network classifiers the authors propose constructing calibrated outputs tha... | the paper provides a method for constructing pac confidence scores for pretrained deep learning classifiers the reviewers were all positive about the paper pros has provable guarantees on the reliability of the prediction such guarantees are quite desirable in practice the problem of neural network uncertainty is im... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper has presented a new method to improve the robustness of features under adversarial attacks authors developed a new metric for the change of features subject to attacks and key findings are eigenve... | based on the observation that the eigenvectors with smaller eigenvalues are more nonrobust ie adversary adds more components along such directions the authors propose a method called feature spectral regularization fsr to penalize the largest eigenvalue and as a result the other smaller eigenvalues get increased relati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is particularly hard to read and with a poor english authors must correct the grammar and spelling mistakes if the paper is accepted pros challenging and interesting problem multimodal registrat... | two reviewers recommend weak acceptance while the other two reviewers recommend weak rejection however most of them seem to acknowledge the novelty of the paper since this is a short paper submission which seems to introduce a novel idea im therefore inclined for accepting this publication importantly for the camera r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work develops an modelbased imitation learning pipeline for autonomous driving their observation network encodes multiview camera images and route information into a latent embedding which is then used... | this work introduced a modelbased framework for offline imitation learning of autonomous driving policies in simulated urban environments the proposed model mile jointly learns a world model and predicts expert actions using a variational generative model this paper was reviewed by three expert reviewers at the initial... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an active learning method to efficiently select data in the target domain that is suitable for learning hypotheses together with data in the source domain in domain adaptation problems ... | this paper deals with the important topic of active transfer learning all reviewers agree that while the paper presents some shortcomings it is considered to be a worth contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new framework for costsensitive hierarchical classification first they decompose it into level by level learning to abstain with different abstain costs per class subproblems to solve ... | the authors tackle the problem of costsensitive hierarchical classification they decompose the problem into levelwise learningtoabstain subproblems and apply the distributionallyrobust learning drl technique to minimize the abstaining loss the proposed approach is compared with a few competitors on several data sets th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper talks about a selfselection phenomenon which the authors call autoinduced distributional shift ads this phenomenon is common in recommender systems where the promotion of a type of contents eg lib... | this paper proposes to study autoinduced distribution shift ads the phenomenon that models can create a feedbackloop the predictions of a model influence user behaviors when it is deployed which in turn affects the accuracy measure of the model the paper empirically shows that a metalearning algorithm called pbt causes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses interactions in a multiagent setting without access to the policies of other agents termed opponents each agent has access to local observations only but is still required to cooperate ... | the submitted paper is well written and easy to follow and also the idea of using vaes for making inferences about the opponents on which a policy can be conditioned on is sensible also the reported performance in comparison to two baselines is good although i have concerns about the selection of the baselinessee below... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an benchmark for visual reasoning or more specifically the capabilities about abstraction of attributes and relations it incorporates a compositionality prior to facilitate scene gener... | most reviewers appreciate the importance of the topic compositional visual reasoning the flexibility of the benchmark easily extended to incorporate different tasks the thorough comparison insightful experiments however the reviewers also raise questions about the clarity of the presentation the limited training set si... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper is presenting a learning algorithm for credal sum product network cspn a type of graphical model that is tractable easy to compute partition function and can encode uncertainty in the netw... | this paper develops the first structure learning algorithm for credal spns the paper is somewhat difficult to evaluate since the credal paradigm is so different from the usual maximum likelihood paradigm which makes a direct empirical comparison challenging by providing more detailed information about the uncertainty t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an imitation learning method to take into account the variance in expert demonstrations in detail a novel behaviour transformer model is proposed which uses a kmeans clustering based pre... | summary the paper addresses the problem of learning from expert demonstrations focusing on the setting where the demonstrations are precollected rewards are absent and the distribution of demonstration trajectories contains multiple modes limiting the performance of behavior cloning the proposed approach uses kmeans t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
thank you for the interesting paper summary the authors focus on the important problem of efficient uncertainty quantification more specifically they propose a methodology that approximates the variance a... | this paper proposes an approach to estimating uncertainty in deep neural network models that avoids the need to make multiple forward passes through a network or through multiple individual models in a posterior ensemble in terms of strengths this is an important and timely topic that is of significant interest the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to construct graph embeddings that are welltuned for answering shortestdistance queries sdqs based on betweennes centrality distance sampling the main idea appears to be that th... | the authors propose a new methods for graph shortest distance embedding method called bcdr based on betweenness centrality then they show that the method is competitive both theoretically than experimentally with existing work after a discussion with the reviewers and after considering the nice changes in the paper an... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.