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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a network architecture and a training model for learning wasserstein barycenters of 512x512 discrete probability distributions results are compared with other approximation meth... | given the reviewers exchange with the authors and my own examination of the paper i dont think that it can be accepted in the present form first since this paper aims at solving an optimization problem for which existing methods exist with theoretical guarantees via a nn it is important to compare appropriately to tho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors group common data augmentation into two groups simple and complex the authors propose to use separate batch normalization layers for the two types of data augmentations simple and complex they a... | the reviewers found the paper well written and were satisfied with the experimental setting which shows clear improvements the authors made a thorough rebuttal and carefully answered the reviewers questions and i recommend for acceptance as i believe this will be useful to the community i recommend the authors to car... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the applications of monotonicity regularization are helpful in terms of generation interpretation robustness and anomaly detection 2 the experiments are comprehensive and the example is straightforward ... | meta review the reviewers overall found this to be a solid paper with somewhat modest technical novelty however the experimental results overall are useful and strong which in the bottom line justifies acceptance the papers clarity is generally good with one major issue being the disconnect between sections 3 and 4 i ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents multiscan an rgbd dataset for indoor scenes with semantically annotated 3d objects the acquisition approach is similar to scannet 7 which used many users with commodity ios and android d... | the reviewers tend to agree on the value of this 3d dataset but point to some questions about labelling and accuracy the rebuttal very convincingly addresses these points clarifying the novelty and value of this new dataset i agree with the authors that datasets are clearly in scope for the main neurips program and t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a largescale multipurpose benchmark dataset for recommender systems and verified it on 10 recommendation tasks different from existing recommendation datasets the proposed tenrec have f... | in the last few years hyperscalers such meta and google have stated more or less plainly that the vast majority of their ai cycles in the datacenter are devoted to various forms of recommendation tasks unfortunately it has been hard to perform research on this problem outside of those companies due to the private and p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method tram that integrates the privileged information into the learned network weight through weight sharing at training time and approximately marginalizes over the privileged inform... | the manuscript proposes transfer and marginalize tram method that integrates the privileged information into the learned network weight through weight sharing at training time and approximately marginalizes over the privileged information at test time tram can also be combined with methods for dealing with noisy labels... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies certified robustness of a policy in a reinforcement learning setting the authors propose a method similar to randomized smoothing in supervised learning to get certified robustness for a ... | the reviewers appreciated the treatment of the topic of certifiable robustness done in this work and although they had a number of concerns i feel they were adequately addressed by the authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a posthoc kdebased method nuq for singlepass uncertainty estimation it reports improvements in robustness to data perturbation and ood detection over deterministic networks on mnistbased ... | the paper proposes a simple approach to quantify uncertainty in deterministic neural networks not unlike the works of sngp ddu and due where one only performs one forward pass rather than in an ensemble or monte carlo sample in particular they propose a kernelbased method on a networks logits to estimate uncertainty ob... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
combining prior knowledge with small data model learning is a significant problem for robust model predictive control the authors proposed a novel model learning method jdmd that adds the jacobian informati... | initial metareview strength this paper is clearly written and provides mathematically sound formulation the ideas presented in this paper appear to be an interesting research direction the results are nicely organized and convincing weakness no hardware evaluation is provided the evaluations are performed on very... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies how to use location information geographical location of images to help with image classification tasks the paper studies use of spherical based location over gps lat long and argues that ... | in spite of some slightly mixed scores with one borderline positive review scores are ultimately lukewarm and tend toward negative and furthermore reviews are broadly in agreement as to the issues they raise main issues center around low significance of the results and issues with the presentation that need to be addre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors identify several challenges of cooperative multiagent reinforcement learning marl sparse rewards nonstationarity and the more general requirement compared to existing works of supporting a varyi... | this paper addresses some important problems in curriculum learning reviewers were generally happy with the approach the main criticisms are around the evaluation there is a lot of prior and similar work in the the literature and reviewers felt that the paper lacked strong baselines against state of the art curriculum ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors try to alleviate the need for parametric distributions namely a gaussian from the self paced rl framework sprl they seek to shift current distribution over tasks to the target distribution of ta... | the paper changes the metric in selfpaced reinforcement learning to be a wasserstein distance and shows that this outperforms other metrics in simple toylike experiments even after discussions with the authors two major concerns were identified with this submission first the proposed modification of the metric appears... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a new regularizer for continual learning to tackle the catastrophic forgetting problem the proposed method minimizes the kldivergence between the prediction of previous models and curre... | there is no author response for this paper the paper presents a multitask learning framework as a unified view on the previous methods for tackling catastrophic forgetting in continual learning in light of this framework the authors propose to minimize the kldivergence between the predictions of the previous optimal mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
although the term genetic algorithm is not used in the paper this paper effectively proposes a fancy genetic algorithm ga for molecule optimization the contribution is chiefly in the mutation step of the ga... | this paper was a tough call the key contribution of the paper is a genuinely useful technique for generating chemical compounds satisfying desired properties however there are some key issues with paper reviewer bjid found out that baselines are weak most importantly he run thorough experiments with graphga outperform... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address the problem of discrete keypoint matching for an input pair of images the task is to match the unannotated but given as part of the input keypoints the main contribution is identifying t... | the paper proposes an interesting take on graph matching by posing the problem as learning the topology through graph convolutional networks there is consensus that the methods proposed are new but the impact is not clear one major point against the paper seems to be that code is yet to be released |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a loss function to mitigate the popularity bias in recommendation it argues that existing debiasing methods poses two limitations i focusing on the tradeoff between evaluations for popul... | this paper studies the popularity bias of collaborative filteringbased recommendation systems specifically this paper proposes a biasaware margin into the contrastive loss resulting in a modified bc loss to remedy the problem geometric interpretation and experimental results are provided to validate the effectiveness o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using graph neural net gnn operations to combine perseries embeddings to enable multivariate forecasting specifically n individual series are separately encoded for a given time window t... | this paper studies multivariate time series forecasting by making relational inference in a latent space it attempts to address the important issue of reducing the computational complexity of the inferred graph this motivation is well articulated despite its merits concerns have been raised regarding the relatively we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper examines human exploration from the perspective of rationality under limited resources the focus is on exploration in multiarmed bandit problems where the objective is to maximise the sum of rewar... | this paper presents a resource constrained variant of the rl2 algorithm and studies how well it models human exploration behavior in bandit tasks the resource constraint is the policy description length in bits for the learned parameters based on the resource constraint the algorithm produces a mix of boltzmannlike a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a class of neural process models that are able to produce correlated predictions while amenable to exact simple and scalable maximum likelihood optimization supporting multiple outputs b... | this paper proposes a class of neural processes that lifts the limitations of conditional neural processes cnps and produces dependentcorrelated outputs but that as cnps is inherently scalable and it is easy to train via maximum likelihood the proposed model is extended to multioutput regression and to capture nongauss... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a nice paper that attempts to tease apart some questions about the effectiveness of contextual word embeddings elmo cove and the transformer lm the main question is about the value of context in th... | pros thorough analysis on a large number of diverse tasks extending the probing technique typically applied to individual encoder states to testing for presence of certain linguistic information based on pairs of encoders states corresponding to pairs of words the comparison can be useful when deciding which repres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper calculates a bound on the generalization error of a committee machine ie a two layer neural network with weights of the top layer fixed to all 1s it shows o1sqrtn generalization gap if the number... | the paper studies the generalization of a committee machine using algorithm stability compared to previous works the authors obtain similar generalization error for smaller width for both gd and sgd reviewers had some conflicting opinions about this paper with major concerns on the limited novelty compared to 46 and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a generalization bound for multilayered deep neural networks in terms of dimensions rather than norms the bound is derived by controlling rademacher complexity of the ramp loss under the ... | im quite concerned by the conversation with anonymous entitled why is the dependence my issues concern the empirical rademacher complexity erc and in particular the choice of the loss class for which the erc is being computed this class is obviously data dependent but the reviewers concerns centers on the nature of it... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores a new direction of model design in traffic forecasting tasks it proposes a neural memory module to model the spatiotemporal traffic data and designs a new traffic forecasting model based... | the paper presents a neural architecture based on neural memory modules to model the spatiotemporal traffic data the reviewers think this is an important application of deep learning and thus fits the topic of iclr the writing and the novelty of the proposed method need improvement |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new convolutional operation designed to optimize the internal number of groups and kernel sizes for a given model size and performance tradeoff the authors compare their results with s... | the paper introduces a convolutionallike operator called optimized separable convolution which scales well in the number of channels c the paper studies the classification performance of resnet with the optimized separable convolution and with other choices of the convolutional operators the paper finds the introduced ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a family of deep architecture trellis networks for sequence modelling paper is well written and very well connected to existing literature furthermore papers organization allows one to ... | the paper proposes a novel network architecture for sequential learning called trellis networks which generalizes truncated rnns and also links them to temporal convnets the advantages of both types of nets are used to design trellis networks which appear to outperform state of art on several datasets the paper is wel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
title ftso effective nas via first topology second operator summary of the paper the goal is to fit the hyperparameters of the neural network namely topology ie network architecture and operator eg skip c... | three reviewers have reviewed this manuscript and they had severe reservations regarding the presentation quality and the lack of sufficient theoretical support behind empirical observations even after rebuttal the reviewers maintained that the above issues are not fully resolved unfortunately this paper cannot be acce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new method called deep combinatorial aggregation dca which is a family of approaches for ensembling deep neural network models often with weightsharing dca trains multiple different ver... | the work proposes an ensembling technique for improved uncertainty and ood predictive performance the idea is to use multiple permutations of a certain component eg layers residual blocks for both training and testing like efficient ensembles such as batchensemble most parameters are shared across ensemble members and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary when the task descriptor is available as the privileged information the authors propose a novel method to learn the policy that can benefit from privileged information it is rewarddriven learning an... | this paper is borderline as evidenced by all of the reviewers scores the pros are important and relevant topic import is a reasonable technically sound approach paper is relatively clear the cons all lie in the experimental evaluation and whether the experiments sufficiently back the claim that import can learn s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new successor feature learning algorithm called xilearning previous sf assumes reward function is a linear composition of sf and reward weights this paper extends previous sf to a sett... | the reviewers uniformly suggested rejecting the current paper i concur and remain especially somewhat unconvinced by the authors comments on learning features in particular any argument based simply on current performance seems rather weak there are methodological reasons one might want to keep features fixed and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of visionlanguage pretraining whose goal is to learn a strong backbone network transferable into downstream tasks such as object detection or visual grounding thus the paper ... | this paper addressed the finegrained visuallanguage alignment from the perspective of gametheoretic interactions it received diverse scores with three weak accept and one week reject the technical novelty is acknowledged by all reviewers the initial reviews raised concerns about unclear explanations of shapley insuffic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a software framework for testing debugging computer vision models via use of photorealistic simulated data is described the utility of the framework is demonstrated through a wide range of use cases and the... | reviewers found the presented work to be a usefulf framework the paper to contain adequate experiments and intereting demonstrations of the frameworks capabilities and be overall well written they appreciated tha significatn prior results can be replicated easily with the the proposed framework on the flip side the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
my review is going to be short because i truly believe that this paper in the current form does not reach the acceptance bar for iclr indeed the paper tries to show that sgd carries an implicit regularizat... | the reviewers pointed out that the claims made in this submission have already appeared in even stronger forms before to which the authors seem to agree therefore this submission is not ready for publication in its current form |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel and interesting method to formulate learning of correlated disentangled causal factors as a part of encodedecoder framework using a ganstyle learning approach the proposed idea i... | this paper presents a method to formulate learning of causally disentangled representation as a part of the encodedecoder framework although the reviewers agree that the paper presents some interesting ideas they feel the paper is not ready for publication yet in particular i encourage the authors to take the feedback... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discussed an approach to take priors into account in machine learning with a slightly different formula which i have doubts on its correctness in the experiments they showed that performance in s... | the authors have addressed several of the issues raised by the reviewers and they are strongly encouraged in include the additional experiments and sections that they propose in a revised submission the reviewers also recognized the novelty and extend of applications the proposed methodology has nevertheless the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presented a new trainingfree way of generating sentence embedding the proposed work is along the same motivation from arora et al 2017 a systematic analysis has been done on a number of tasks to ... | the paper proposes a simple approach for computing a sentence embedding as a weighted combination of pretrained word embeddings which obtains nice results on a number of tasks the approach is described as trainingfree but does require computing principal components of word embedding subspaces on the test set similarly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the partial participation aspect in local sgd method in previous works uniform sampling of clients is usually assumed which is not close to real situation in practice in this work authors... | the paper was appreciated by all three reviewers and all gave strong endorsement some of the positive comments include the paper is wellwritten in general all assumptions and definitions are clearly stated all formulations of theorems are clear theoretical analysis seems to be correct i checked the appendix and i ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a curvaturebased graph subsampling method that aims at sampling structurally representative subgraphs via ollivers ricci curvature strength the paper addresses an important topic with geo... | the majority reviewers consider that this paper should be rejected their concerns include clarity of presentation a comparison to previous work and finally a number of individual points which were not addressed in the rebuttal period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a multitask learning model with neural processes the model is based on a hierarchical construction whereby each task is conditioned on global and local information the paper derives a hie... | this paper extends neural processes nps to the multitask setting mtnps the approach uses a hierarchical bayesian construction where the latent variables of an np are conditioned on a set of global taskspecific context variables this allows the np to share knowledge across related tasks there were a few issues raised i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to evaluate and improve the robustness and generalization of neural combinatorial solvers with adversarial examples that is perturbed inputs that fool the neural network to... | the paper studies how neural combinatorial solvers can be susceptible to adversarial examples and what implications does this susceptibility have on the evaluation of neural solvers besides proposing some successful adversarial attacks the authors provide a method for adversarial training and show its effectiveness on ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about a study of calibration of deep neural networks in the image classification task in particular to the possibility of using label smoothing to make the network emit predictions that are mo... | the paper introduces an adaptive label smoothing technique where the smoothing factor is computed based on the relative object size within an image in order to address the problem of overconfident predictions all reviewers recommend rejection based on limited technical contribution and unclear benefits of the proposed ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the author mainly show that adversarial robustness can be disentangled in small variance directions and large variance directions theoretically they also investigated the excess risk and optim... | in this paper the authors theoretically analyzed the attacking mechanisms of the two kinds of adversarial examples in the gaussian mixture data model case and proved that adversarial robustness can be disentangled in directions of the data manifold the reviewers commonly felt that the idea and theoretical analysis in t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes passing the parameters of a policy to the value function attempting to learn estimates of the return for that policy this allows the value function to generalize across policies ... | the reviewers generally found the idea interesting and the contribution of the paper significant i agree i think this is quite a neat idea to investigate and the paper is written well and is engaging to read i would encourage the authors to take into account all of the reviewer suggestions when preparing the camerarea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
learning to discover novel class is a very challenging task and a new research topic in recent years in this task a knownclass dataset can be used to help cluster novel classes novel means that there are no... | all reviewers believe that this paper is valuable and the authors have made a significant careful contribution some suggestions from the area chair in causality is not a standard technical term and also not nontechnical idiomatic english so it should be explained the first time it is used the authors should briefly ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
recommendation 2 serious ethical issues that need to be addressed in the final version ethics review the authors introduce the tgea 20 dataset which is a chinese dataset where the examples are generated b... | the reviewers all liked the paper the authors response clarified most points raised by the reviewers in view of that the authors are strongly invited to take the feedback on board for the final version the main ethical issue raised by reviewers is the risk of erasure and invisibility of linguistic variability in chines... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the benefits of current deep reinforced learning in accelerating mri sampling and concludes that the benefit brought from current sota rl methods is not aligned with the computational co... | while all reviewers acknowledge the relevance of such an evaluation work for the mri reconstruction field they all agree that the contribution has a limited fit with a ml conference like iclr the work is solid experimentally and will surely interest the audience of conferences like ismrm or miccai for this reason the w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main aim of this paper is to increase the efficiency in terms of wall clock time of transformer based models for reinforcement learning previous works have shown transformerlike models to be highly p... | i thank the authors for their submission and participation in the author response period the reviewers unanimously agree that the papers proposes an interesting and original approach to using a costly model on a learner node while distilling to a cheaper model run on actor nodes to gather experiences in a distributed r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to do oneshot domain adaption by fine tuning a state of the art network stylegan the paper introduces a few techniques to do so first the paper proposes to add a lightweight attribute ada... | this work was the subject of significant back and forth between authors and reviewers but also between reviewers myself due to the wide range of opinions two of the reviewers have found this work below the bar they have provided multiple reasonings that i would rather not repeat here the third reviewer found this work... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to embed in a recurrent neural network rnn a multistage subnetwork that is trained to denoise its own state this is done with an additional denoising cost term that essentially encourage... | the paper is well written and develops a novel and original architecture and technique for rnns to learn attractors for their hidden states based on an auxiliary denoising training of an attractor network all reviewers and ac found the idea very interesting and a promising direction of research for rnns however all als... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper evaluates a number of implementations of the rdbtordf mapping language r2rml and its extension rdf mapping language rml using a gtfsbased benchmark the paper is easy to read and well written over... | this paper provides an overview and comparison of r2rml open source processors the reviewers agree that this is a wellwritten and easytoread paper however most reviewers point out that the paper in principle investigates only declarative etl systems and it narrows down even more and covers the ones that implement r2rml... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper concerns the computation of an approximate profile maximum likelihood estimator apml a plugin estimator used to estimate symmetric properties of discrete distributions formally one is given acces... | this work makes theoretical contributions to a long line of work on efficient property estimation specifically the paper closes the gap on the best achievable results via the approximate profile maximum likelihood pml approach and the previously known information theoretic lower bound the reviewers agreed that the tech... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates multiclass learning from label proportions ie the situation in which the training data is only available in bags for each bag the fraction of samples belonging to a certain class is k... | this paper proposes an approach to llp based on a reduction to learning with label noise using the forward correction fc the method is verified both theoretically and experimentally the theory of the fc loss may also be of independent interest the authors have addressed most of the comments after the discussion the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
beyond games bringing exploration to robots in realworld this paper tackles the laudable goal of making an algorithm for efficient exploration in realworld rl to do this they augment the curiosity algorit... | the authors propose implementing intrinsic motivation as a differentiable supervised loss coming from the error of a forward model rather than the black box style of curiosity reward the motivation is that this approach will lead to more sample efficient exploration for real robots the use of a differentiable loss for ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a variant of the indivisible item allocation problem in this variant the items are vertices of an edgeweighted graph an agents valuation on a bundle is given by the weight of the maximum ... | reviewers agreed that the model is new and interesting and the theoretical results are solid the main criticisms are about the model some reviewers felt that it is too specific and there is not enough motivation some reviewers liked the technical depth while others felt that it is not enough to compensate for the lack ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper investigates the viability of generating embedding exemplars from a vae that can protect base knowledge in the intermediate to output layers of the neural networks experiments on the cub200... | the paper studies the problem of metric learning for handling catastrophic forgetting all the reviewers recommended clear reject because of writing issues and lack of experimental investigation to support the ideas the authors did not provide a rebuttal hence the reviewers opinion still remains the same ac agrees with ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a framework for disentangling style and content from audio samples a very interesting topic its a good read until the math becomes a bit too hardconvoluted for me to follow it would help... | the authors propose a new model to learn voice style transfer using an encoderdecoder framework with the aim of disentangling content and style representations the strengths of the paper are the method is wellmotivated with sound theoretical justification the authors improve up on the prior work by augmenting the lo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel and efficient quantization method for vision transformers the authors first identify the bottleneck lowbit quantized vision transformers which comes from the information distorti... | this paper proposes a novel method for vision transformers quantization the irm and dgd scheme is developed to solve the bottleneck of lowbit quantized vision transformers all the reviewers agree that the proposed method is novel and effective the concerns and questions are well addressed during the rebuttal period the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work discusses a modification on the fingerfitts ffitts model and a study which demonstrates that it slightly outperforms the previous model despite an additional regressionfitted parameter the new mod... | the paper was reviewed by three reviewers one of whom selfrated their confidence as 55 expert the two reviewers with the highest confidence scores also rated the paper slightly below the acceptance threshold r3 was the most positive providing a short review which praises the paper calling it wellwritten and wellpresen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims at the representation learning of 3d molecular graphs and proposes a principled message passing framework to unify existing works besides a novel message passing approach is presented by inco... | the paper considers representation learning of 3d molecular graphs the authors propose a message passing scheme using spherical coordinates it is tested on three datasets of 3d moleclular graphs the authors offer an in depth analysis of different aspects with an extensive experimentation of the method strengths the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the problem of privacypreserving logistic training on encrypted data the quadratic gradient is proposed to implement logistic regression training in the homomorphic encryption domain the ... | reviewers remained concerned about the novelty of the contribution about the extentlimitations of experimentscomparisons to other methods as well as about the fact that the method does not seem to outperform competitors in certain cases |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new framework for the reinforcement learning problem specifically the mab and finitehorizon tabular mdp when the instances can be divided into two groups one group which tolerates risky... | the new twogroup rl framework is interesting even though it is somewhat restricted to assume the exact same model for both groups both the gapindependent and the gapdependent settings are discussed properly with lower and upper bounds overall we believe that the paper is worth publishing at neurips |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents the technique clearly considering that it is inevitably quite mathematically complex and involves understanding gflownet before the contribution can be appreciated the results show that ... | meta review the paper addresses the problem of learning bayesian networks from data and presents a novel approach to sampling bns from the posterior distribution given data the experimental evaluation is reasonable and shows the proposed method is competitive with existing methods the paper is generally wellwritten rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors consider the problem of posthoc explainability for decisions rendered by machine learning models they focus on addressing uncertain model predictions producing counterfactual data tha... | this paper presents an uncertainty quantification method that is conceptually interesting and practical all reviewers are in consensus regarding the quality and significance of this manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework for fewsample knowledge distillation of convolution neural networks the basic idea is to fit the output of the student network and that of the teacher network layerwisely suc... | the paper considers the problem of knowledge distillation from a few samples the proposed solution is to align feature representations of the student network with the teacher by adding 1x1 convolutions to each student block and learning only the parameters of those layers as noted by reviewers 1 and 2 the performance o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the multiagent reinforcement learning setting and proposes a scalable method for the agents to help each other learn by transferring their policies to each other the main idea presented... | the paper proposes a method on multiagent optionsbased policy transfer where agents help each other learn by exchanging policies the core idea behind the paper is novel as it addresses a new and emerging topic of social learning and of interest to iclr community the authors significantly improved the paper with additi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the experiments in the paper are similar to those explored in previous work the main contribution claimed in the paper is the theoretical formulation for compact design of neural networks using circulant ma... | the paper conveys interesting study but the reviewers expressed concerns regarding the difference of this work compared to existing approaches and pointed a room for more thorough empirical evaluation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors proposed a spatial mixtureofexpert layer for cnns to take into account of spatial dependence in data or features strengths to incorporate local dependence or locality in data and features is always ... | this work introduces a novel layer in order to extract information better at a fine grained level the basic idea is to introduce a spatial mixture of expert which will localized computations to a specific part of the image given the novelty the method i recommend accepting this paper however please add the modification... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method in the setting of centralized training and decentralized execution for training policies which minimize surprise the method uses insights from energy based models deriving an e... | the paper explores surprise minimization in multiagent learning by using free energy across all agents in a multiagent system a temporal ebm represents an estimate of surprise which is minimized over the joint agent distribution empirical studies on the proposed method are conducted this paper builds in an interesting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
good theoretical analysis and compliant experiment performance 1 the limitation of theorem 1 the authors have said that the optimal gap of ri heavily depends on the size of silocal but in experiments inclu... | this paper proposes a method for collaborative multiagent learning and adhoc teamwork the paper includes extensive empirical results across multiple environments including one of known outstanding high difficulty and repeatedly performs favourably in comparison to a suitable set of state of the art methods the proposed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper presents a reinforcement learning rl model that uses cumulative effort to improve fullbody movement generation the use of a cumulative fatigue reward is a proper way of including biomechani... | this paper investigated using bioinspired cumulative fatigue model to improve bipedal locomotion via deep rl the proposed method marginally improved bipedal locomotion behavior the size of the experiments should be improved together with generalization to other symmetric walkers ac agrees with the reviewers that the em... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a loss for domain generalization the loss is learned by metalearning on based on rotatedmnist the paper evaluate the losss generalization ability in several other datasets the idea is i... | this paper considers the idea of metalearning the loss function for domain generalization its a simple idea that seems to work reasonably well although as pointed out by the reviewers the margin is actually quite modest when compared to the strongest baselines not erm on a positive note many reviewers agree that the i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes ddxplus a symptomdisease dataset of synthetic patient records containing demographic information age gender geographic each patients disease symptoms antecedents and differential diagnosi... | this paper proposes a symptomdisease dataset of synthetic patient records containing demographic information disease symptoms antecedents and differential diagnosis the disease evidences and differential diagnoses are synthetically generated which makes the dataset easy to share several reviewers pointed out important ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a combination of evolutionary methods and variational representation learning to improve the sample efficiency of rl methods they train a vae on environment frames as well as an actionco... | pros compelling idea to use vaes to reduce the dimensionality of the space in which to run evolution nontrivial benchmark results clearly written solid background cons moderate novelty as compared to 1 performance results are suppar no rebuttal despite constructive and detailed review comments and an explicit wi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this present paper provides a detailed discussion of the main characteristics of harmful text that are or can be generated by large language models in section 2 the authors outline six ways in which we can ... | the paper proposes a framework for characterizing harmful text generated from llms this is a timely and extremely important topic and the paper engages with the complex sociotechnical questions around it the reviewers are split in their opinions three in favor of acceptance three opposed the key argument raised against... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary this paper presents a novel spatiotemporal attention mechanism the spatial attention is decomposed from the temporal attention and acts on each frame independently while the temporal attention is... | strengths the paper presentation was assessed as being of high quality experiments were diverse in terms of datasets and tasks weaknesses multiple reviewers commented that the paper does not present substantial novelty compared to previous work contention one reviewer holding out on giving a stronger rating to the pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to invert graph neural networks gnns in the search for optimal solutions in the context of engineering design the paper uses stochastic gradient descent for optimization and observes tha... | this work proposes to use gnns in acting as good simulators of fluid dynamics it is a solid example of using neural networks as differentiable simulators that can then be used for solving for design of components for fluid manipulation tasks overall this work has been well received and should inspire related work in in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to integrate visual and linguistic features in both topdown and bottomup modulation of the visual input this is done by fusing two modalities while doing convolution and deconvolution op... | the paper proposes to improve image segmentation from referring expression by integrating visual and language features using an unet architecture and experimenting with topdown bottomup and combined dual modulation review summary the submission received divergent reviews with scores spanning from 2 r2 to 5 r3r4 to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the problem of generating strong adversarial attacks on binarized neural networks networks whose weights are binary valued and have a sign function nonlinearity since these networks are n... | the paper provides a novel attack method and contributes to evaluating the robustness of neural networks with recently proposed defenses the evaluation is convincing overall and the authors have answered most questions from the reviewers we recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose a new transformer variant for neural machine translation compared with the standard transformer framework this work explains the representation generation process of the encoder... | the paper proposes to explain the representation for layeraware neural sequence encoders with multiordergraph mog based on the mog explanation it further proposes graphtransformer as a graphbased selfattention network empowered transformer as commented by the authors a main purpose of graphtransformer is to show an exa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the offline training and online finetuning setting for marl and show that it is promising to learn policy representatrions to improve the performance on downstream marl tasks the paper pro... | the reviewers have raised relevant concerns that preclude acceptance and the authors have not provided a response at this time all reviewers concur that this paper should be rejected and i agree |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method incorporating decoded foreground attention and a new training scheme with encoder and decode in a loop to reconstruct image stimuli from fmri data strength the encoder dec... | this paper present a model for reconstructing images from fmri recordings based on an encoder and decoder used in a loop the reviewers were unanimous in their opinion that this paper is not ready for publication at this stage they raised concerns ranging from the quality of the result and how to compare them to previou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a unified framework to analyze convergence conclusion of sgdsgdm with bandwidth stepsize including popular constant and then drop stepsize cosine stepsize and the triangular stepsize exp... | the reviewers have the following remain concerns 1 the bounded function value assumption is strong note that the previous works for sgd and sgdm for other lr schemes do not necessarily need this assumption hence it may be unfair to compare with existing results and say that this work has improvements for nonmonotonic s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose group equivariant neural posterior estimation gnpe a posterior estimation method which can selfconsistently infer parameters and standardize the pose for equivariant posterior distributi... | this paper studies group equivariant neural posterior estimation which seeks to endow conventional neural posterior estimation method with equivariance of both the data and parameters simultaneously to test the efficacy of the proposed approach the authors experiment with gravitational wave data and show that the propo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an unsupervised learning approach to detect and cluster neural spike sequences in neural spike data to model the data the authors propose a hierarchical dirichlet point process model whi... | this paper describes a hierarchical bayesian latent model to identify neural sequences from spike data especially in neuroscience detection of patterns in neural sequences is an important computational problem as the infrared patterns are useful for characterizing brain activity the key problem is reminiscent of cluste... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper evaluates an underexplored space of neural models ensemble of smaller networks shallower or narrower extensive experiments show that when growing the total capacity number of parameters b... | the paper looks into performance of a single network vs ensemble cnn networks of similar no of parameters through lens of accuracy training time memory used inference time the authors show that after some threshold the ensemble model starts to outperform a single model and make better use of its capacity although this... |
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 identify sequenced sarscov2 genomes with sequencing errors they explore several feature encodings and machine learning methods to identify such erroneous sequen... | this paper presents a framework to test the accuracy and robustness of different machine learning algorithms in classifying the covid19 spike sequences after reading the paper and taking into consideration the reviewing process here are my comments the work is aligned to the efforts on understanding the covid19 pandem... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper articulates one important problem in the current fairness community that the inconsistencies in the experimentation and dataset setups hinders a fair comparison of biasmitigating methods to remed... | this paper introduces a framework for benchmarking fair representation learning methods that systematically controls dataset imbalances and correlations while the toy and synthetic nature of the dataset limits the conclusions that can be drawn reviewers agree there is significant value in having a standardized and cont... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a methodological framework for generative modeling through diffusion processes without timereversal arguments by utilizing diffusion bridges the authors consider processes that start an... | this paper introduces a new method for diffusionbased generative modeling through a brownian bridge formulation where the data and latent variable can be coupled they extend their method to mixtures of diffusion bridges and spatially correlated processes that go beyond the factorial diffusion processes used in prior wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method is simple yet effective and achieves stateoftheart results on both image and text classification tasks compared to the existing approach rco and talearning the main advantage is that pro... | this paper proposed a new variant of knowledge distillation the basic idea is interesting although similar ideas have more or less appeared in the literature as pointed out by the reviewers our main concern on this work is that the real empirical improvements are too limited such that it is hard to conclude that the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose imvlstm which can handle multivariate time series data in a manner that enables accurate forecasting and interpretation importance of variables across time and importance of each... | the reviewers appreciated the clarity of writing and the importance of the problem being addressed there was a moderate amount of discussion around the paper but the two reviewers who responded to the author discussion were split in their opinion with one slightly increasing their score to a 6 and the other remaining u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents nodepiece a method inspired by subword embeddings in nlp that is designed for constructing compositional representations of entities in a knowledge graph using a fixedsize entity and rel... | this paper presents a technique for compositionally constructing embeddings for nodes in knowledge graphs hence reducing the memory requirements as well as allowing inductive learning the reviewers find the direction promising and the approach novel and wellmotivated there were some concerns about the experiment result... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes efficient algorithms for distributionally robust optimization dro the objective in dro is to minimize the worst case expected loss over a family of distributions over the population a si... | the paper provides new complexity guarantees for distributionally robust optimization dro in two main settings i when the ambiguity set is discrete and consists of a finite number of possible distributions group dro and ii when the ambiguity set is based on fdivergence the algorithmic techniques build on the recent res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a model for text rewriting for multiple attributes for example gender and sentiment or age and sentiment the contributions and strengths of the paper are as follows problem definition... | the paper shows how techniques introduced in the context of unsupervised machine translation can be used to build a style transfer methods pros the approach is simple and questions assumptions made by previous style transfer methods specifically they show that we do not need to specifically enforce disentanglement ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a boundaryaware selfsupervised learning framework for video scene segmentation based on the contrastive learning protocol the authors employ dtw to generate dimidiate video segmentation... | this paper presents work on video scene segmentation the reviewers appreciated the introduction of a boundaryaware pretraining method however concerns were raised regarding limited novelty empirical effectiveness and generic applicability the reviewers engaged in significant discussion based on the other reviews and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a lightweight convolutional neural network based on the idea of quaternion neural networks the paper extended the hypercomplex linear layers to convolution neural networks to apply to ma... | in general the reviewers appreciated the elegant concept behind the paper and the good results however they also raised considerable reservations about the significance of a method that decreases the parameter count but not necessarily computational efficiency flops or memory while the additional analysis that the auth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper evaluates the impact of the influence of the invariances in the likelihood function on the elbo when performing variational bayes the authors propose to enforce posteriors to be invariant to a fe... | this paper seeks to understand and explain why variational bayes seems to underperform if not fail completely in overparameterized models such as bayesian nns the proposed explanation is an additional gap in the marginal likelihood bound that results from these invariances the paper demonstrates the gap in detail for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a a robotic manipulation benchmark for causal structure and transfer learning in a simulation environment considering 3d shape construction tasks given a set of blocks baseline results u... | causalworld is a benchmark for robotic manipulation to address transfer and structural learning the benchmark includes i a variety of tasks picking pushing tower etc relating to manipulating blocks ii configurable properties for environments properties of blocks gravity etc iii customizable learning settings involving ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the problem of sampling and normalizing constant estimation for logconcave distributions and derive query complexity bounds for quantum algorithms the authors use stateoftheart bounds f... | this work considers the problem of sampling and normalizing constant estimation for logconcave distributions in the quantum setting starting from stateoftheart bounds for classical algorithms the authors show how to achieve quantum speedup in a number of settings a quantum lower bound for normalizing constant estimati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed an unsupervised learning model podnet that learns to discover objects from video the authors develop an inference model that performs image segmentation and objectbased scene decompositio... | the paper proposes to do unsupervised discovery of 3d physical objects the core idea is to decompose the scene into primitives that contain a a segment b 3d position and dynamics and c appearance these are combined with a physics model and renderer to discover objectsprimitives by watching videos the core supervisory s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a new proposal on improving the robustness of image classificationsegmentation by a frequencyguided data augmentation approach the proposed technique is based on a dct transformation to... | the paper proposes a data augmentation approach that extends mixup with high and lowpass filtering operations in order to regularize deep networks towards focusing on low frequency components of the input signal reviewers are unconvinced about the significance of the contribution reviewer 5zdd notes that the method d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a multi agent life simulators as an environment for rl the environment is procedurally generated with possibly many different game dynamics including foraging and combat they train deep ... | the reviewers raise a number of concerns including limited methodological novelty limited experimental evaluation comparisons and poor readability although the authors did address some of the concerns the paper as is needs a lot of polishing and rewriting hence i cannot recommend this work for presentation at iclr |
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