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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a primaldual optimization framework for gans and multitask learning it also analyzes the convergence rate of models some results are conducted on both real and synthetic data here are so...
the paper studies the convergence of a primaldual algorithm on a special minmax problem in wgan where the maximization is with respect to linear variables linear discriminator and minimization is over nonconvex generators experiments with both simulated and real world data are conducted to show that the algorithm works...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies optimization and generalization properties of deep relu networks trained with stochastic gradient descent on the logistic loss in the neural tangent kernel ntk regime by using a new analys...
the paper studies the convergence rate and generalization of deep relu networks trained with gradient descent and sgd in the ntk regime although the analysis technique is not really novel and heavily relies on past results the paper is easy to follow and does provide some nice improvements compared to prior work eg it ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study generalization capabilities of neural networks local minimums thanks to a pacbayesian analysis that grasps the local smoothness properties even if some assumptions are made along the way t...
this paper proposes a generalization metric depending on the lipschitz of the hessian pros paper has some nice experiments correlating their hessian based generalization metric with the generalization gap cons the paper does not compare its results with existing generalization bounds as there is substantial work in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the idea of flooding to a samplespecific level and call it iflooding the extension is intuitively important and the authors also offered several analytical discussions to show its importa...
the paper extends the original work on flooding to individual instance level to prevent overfitting even though the technique is a intuitive extension the reviewers appreciate its simplicity and effectiveness and consider the extension necessary most reviewers concerns were addressed through rebuttal
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros audiovisual sound source separation is an impotant task the paper pushes the boundary from specific domains eg speakers musics etc to generalized opendomain which is crucial and far from trivial the ...
this paper presents a new largescale opendomain dataset for onscreen audiovisual separation and provides an initial solution to this task as the setting is quite specialized the authors proposed a neural architecture based on spatialtemporal attentions while using existing learning objective for audio separation the re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the ability of existing bioplausible temporal credit assignment rules to generalize finding that training with bioplausible learning rules results in models that have larger and mor...
this paper applied ideas about generalization in the ml literature to biologically plausible architectures and learning rules especially it explored links between curvature and generalization in biologically plausible learning there was active discussion about this paper and three reviewers raised their scores during ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper argues that identifying weak supervision signals may require domain expert knowledge and creativity therefore the authors propose an interactive weak supervision solution in which the annotators a...
the paper proposes a userinteraction framework where users choose a subset of lfs from a family of lfs generated using some template eg keywords for text classification the proposed criteria is not very surprising but the authors present a practical and useful system that is well demonstrated both in the paper and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper keys in on something that is widely suspected but has not been rigorously investigated in the unsupervised object segmentation discovery literature the fact that nearly all methods do well on si...
this paper conducts a systematic evaluation of existing unsupervised object segmentation methods on realworld images using ablated realworld datasets the authors identify factors causing the failures of existing methods on real images all three reviewers find the study valuable and creative this type of studies shoul...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the resource allocation problem is closely related to the realworld applications which would be interesting to both the theoretical and applied researchers in rl community it is novel to propose the neural...
meta review the authors have provided a strong rebuttal which they are encouraged to incorporate into their paper on revision to clarify concerns raised by reviewers while one reviewer retains their concerns after the rebuttal three other reviewers side with acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the inductive bias of natural gradient flow the authors highlight the invariance property of natural gradient flow under reparameterization and study the training dynamics of natural grad...
summary study inductive bias of natural gradient flow strengths some reviewers found the invariance to reparametrization insightful a good way to better understand the interaction of the learning rule and parametrization experiments support the theory weaknesses unclear takeaway message comparison with eu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes the cloob objective for contrastive imagetext joint training and performs studies comparing against clip objective results show improvement in performance on multiple downstream tasks on ...
the submission proposes a new objective for contrastive training with imagestext the comparison is made with clip the method cloob improves upon a reimplementation of clip the main concern here is that infoloob and hopfield nets are known already and whether this submission is thus incremental reviewer 3xnz points out ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the paper tackles an interesting problem and proposes a modelagnostic approach 2 the approach removes the need for an intermediate linear model while the paper tackles an interesting problem i have some ...
meta review the reviews of this paper were mixed two of the reviewers gave it solid accept scores while two reviewers gave it a very low score after the author feedback and discussion one of those reviewers said that the response seemed reasonable though did not update his score the second reviewer did not believe the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an augmentation of the ddpg algorithm with prioritized experience replay plus parameter noise empirical evaluations of the proposed algorithm are conducted on mujoco benchmarks while the ...
the authors take two algorithmic components that were proposed in the context of discreteaction rl priority replay and parameter noise and evaluate them with ddpg on continuous control tasks the different approaches are nicely summarized by the authors however the contribution of the paper is extremely limited there ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the method is simple yet efficient to solve the problem of domain adaptation the experiment solves that it outperforms other methods on two different tasks namely single class and multi classes segmentati...
this paper proposes a domain adaptation technique for medical image segmentation using selfsupervised refinement of early features of unet with a modified dualbranch network the network is able to conduct early layer finetuning using target images only all reviewers agreed that the method is simple but effective and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents slash a neuro symbolic system the system presents strong results but on few datasets the topic of this paper slash has a complex structure it includes a npp which is a standard nn dec...
the most positive reviewers have not decided to step forward to champion the paper others have a negative impression which has not sufficiently changed after the answers from authors actually it is acknowledge that there have been many modifications but they are not happy enough with this situation modifications some s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes evolving the proxy search space eps as a new randomnasbased approach the goal is to find an effective proxy search space ps that is only a small subset of gs to dramatically improve rand...
the paper analyzes the behavior of random searchbased nas and provided new insights eg a low ranking correlation among top20 candidate architectures in the search phase an extensive set of experiments were also conducted however most reviewers found the incremental nature and similarity with previous works to be a conc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the anonymised repo was provided containing full code and instructions perfect reproducibility the paper is illustrated with quality figures and intuitive explanations the paper doesnt offer new techni...
meta review this paper presents some interesting analysis of higherorder predictive distributions in particular in an rl context the reviewers raised some questions about the papers contributions over the neural testbed work and the tuning of some baselines i found the author responses acceptable and able to be inclu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes rwae to learn disentangled representations benefit from the characteristics of wae this paper shows that rwae can better disentangle the sequential data into content space and mo...
this paper presents an approach for learning disentangled static and dynamic latent variables for sequence data in terms of learning objective the paper extends wasserstein autoencoder to sequential data and this approach is novel and wellmotivated the aggregated posterior for static variables comes out naturally and p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper contributes to the domain of causal inference in particular to the area of heterogeneous treatment effect hte estimation authors propose a methodology to identify the drivers of treatment effect h...
this submission proposes a semisynthetic dataset to estimate conditional average treatement estimation cate and an empirical study of recovery of important parameters by cate estimators the submission generated much discussion between the reviewers and the authors the question and the empirical evidence was seen as in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overview this work proposes a new nas benchmark based on the results of surrogate models prediction this surrogate model is able to predict all architectures in darts search space which is about 1018 possib...
this paper proposes a methodology to create cheap nas surrogate benchmarks for arbitrary search spaces certainly the work is interesting and useful with comprehensive studies to validate such approach it should be credited as belonging to the first efforts of introducing and comprehensively studying the concept of surr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to explore what structural properties account for transition to linearity when a neural network becomes wider the authors propose a new perspective where the neural network is considered as ...
the authors provide in this manuscript a theoretical analysis to explain why deep neural networks become linear in the neighbourhood of the initial optimisation point as their width tends to infinity they approach this question by viewing the network as a multilevel assembly model all reviewers agree that this is an i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to add explicithumandefined constraints to learningbased simulation frameworks where a learned constraint function implicitly regularizes the dynamics and future predictions are generated vi...
the paper uses graphbased neural networks to ensure constraintbased simulation even though the approach is a good one it is only incremental wrt the work published by yang et al at neurips in 2020 then the experimental section is not convincing enough while the authors indicate their dissatisfaction with one of the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work is focus theoretically on the distributed learning of nonparametric quantile regression models in rkhs there have been related works about the distributed learning for kernel ridge regression...
the paper investigates distributed quantile regression for rkhsbased estimators unlike in the usually considered case of distributed least squares learning the quantile setup is more challenging from a technical perspective clearly the strength of this paper is to tackle this challenge the weakness of the paper is tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a multitask loss for semisupervised representation learning and category discovery ie clustering unlabeled examples at a high level this paper adds a contrastive loss term to the...
the reviewers unanimously raised concerns on the lack of insights on why the proposed method works better than han et al 2020 and why wta brings significant gains only to the proposed method and not to han et al i think the paper is promising but providing these insights are critical to making the work convincing to th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a synthesisthroughoptimization approach that generates drawing based on textual description the approach leverages differentiable rendering to optimize rgba bzier curves to maximize the ...
this is a very interesting paper while there are methods for generating text without training using clip eg httpsarxivorgabs220502655 this paper introduces a method generating strokebased images based on the similarity between the text and the image the performance of the method is quite impressive and the reviews are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for copy and paste editing of fluid simulations that combines regions from two different simulations by blending the vector fields across a boundary region using steady state st...
dear authors as a area chair on this paper i have collected three reviews and examined all of them i am one of them to summarize all the reviewers pointed out that the quality of the paper needs several improvements which include clarity of mathematical formulation extension to 3d examples comparisons and timings in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the line of research of improving sketching data structuressampling with the help of learned models is becoming quite popular this paper follows this line of research and applies this paradigm to the proble...
the paper proposed a novel onepass efficient streaming algorithm for estimating the number of triangles and four cycles the concerns raised by reviewers were nicely addressed in the rebuttal and all the reviewers agree that the paper is above bar for publication
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes various methods to mitigate the drastic overfitting and resulting worse robust test accuracy that can occur when adversarial training using the fast gradient sign method fgsm the propose...
this paper proposes to solve fgsm catastrophic overfitting by combining different algorithmic methods ie masking pattern to the train data smooth activations vits constraints on the first layer convolutional weights the reviewers have considered the problem studied very relevant but were not convinced by the empirical...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of active feature acquisition afa the authors formulate afa as a markov decision process mdf and use reinforcement learning to resolve it in order to overcome the sparse rewar...
the paper studied an interesting and important problem in active learninginformation acquisition afa and provided an rlbased active learning scheme for a broad spectrum of afa tasks in both supervised active classificationregression and unsupervised feature completionrecovery domains the reviewers generally find the pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes vxn a largescale 3d indoor dataset for multimodal multitask navigation in continuous and audiovisual complex environments it can conduct four embodied navigation tasks including imagegoa...
this paper introduces a novel indoor navigation dataset that is both continuous and audiovisual within this setting they include popular tasks and their audiogeneralizations eg imagegoal nav audiogoal nav particularly of note is the leveraging of unification of these tasks during training for a better overall agent ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a novel method for smooth control in model predictive control mpc it achieves better smoothness by incorporating gaussian process action priors in inferencebased control in order to redu...
the paper received overall positive reviews with reviewers commenting on the well developed theory proposed and the extensive set of experiments including ablation studies the main issues to be addressed by the authors are 1 organisation and clarity the paper can be made significantly clearer in particular the specifi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a paradigm which speeds up the traininginference time of gats while not compromising too much performance the method adopts a layerwise sampling procedure in particular the auth...
two reviewers recommend rejection whereas two reviewers slightly lean towards acceptance all reviewers agree that the paper tackles an important problem and the proposed direction holds promise and is worth exploring however the reviewers raised concerns about the novelty of the proposed approach r3r4 the applicability...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: at the core of this paper is the insight from 1 that a neural network layer constructed from a combination of linear piecewise affine and convex operators can be interpreted as a maxaffine spline operator m...
dear authors all reviewers liked your work however they also noted that the paper was hard to read whether because of the notation or the lack of visualization i strongly encourage you to spend the extra effort making your work more accessible for the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i very nice application of gaze tracking to facilitate faster construction of faces in various environments eg police sketches or video game avatars good experimental design good baseline good results the ...
the authors propose an interesting research work related to reconstruction of mental images based on humanai collaboration they show that the gazebased method can generate better results without the need of manual annotations the paper is organized very well and they provide comparisons with baseline methods reviewers ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies domain adaptation under the assumption that only unlabeled target data is available in training and the domain shift follows a special group shift the main idea for the proposed method is...
dear authors thank you very much for your detailed feedback to the reviewers in the rebuttal phase the feedback certainly clarified some of the concerns raised by the reviewers and improved their understanding of your work indeed some of the reviewers have increased their scores however overall we think this paper ha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a multiagent communication architecture where agents can use targeted communication and can perform multiple communication steps the paper is well written and easy to follow comments 1...
the reviewers raised a number of concerns including the lack of clarity of various parts of the paper lack of explanation incremental novelty and insufficiently demonstrated significance of the proposed the authors rebuttal addressed some of the reviewers concerns but not fully overall i believe that the paper presents...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to learn how to optimize policy under the framework of mirror learning based on the learning result they formulate a closedform policy optimization method for learning the poli...
this paper proposes a policysearch approach in which a drift function is metalearned in the framework of mirror learning after reading each others reviews and the authors feedback the reviewers have solved most of their concerns and agree that this paper deserves publication the authors need to consider the reviewers s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study the zeroshot emergent nonverbal communication in this paper different from most papers on emergent communication this paper uses the motion of threejoint agents the agents meet partners th...
this paper received borderline scores r1 r3 r4 gave a score of 6 and recommended a borderline acceptance r2 provided by far the most detailed review and recommended a score of 5 ie borderline reject after the rebuttal r2 comments i believe that the paper is still below the acceptance threshold although only marginally ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work considers a modified mdp model where the rewards are subject to random delays specifically the timesteps are divided into random batches and the agent observes the cumulative rewards of the batch ...
the paper introduces an interesting new model for mdps where the time is divided into random segments and at the end of each segment the cumulative reward for the given segment is communicated to the agent some theoretical results with a policy improvement algorithm as well as a more practical algorithm are presented w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to tackle the problem of unsupervised classincremental learning where the training data is composed of a sequence of exposures each exposure is comprised of a set of images that pertains...
this paper presents a continual learning method based on a novelty detection technique all reviewers are concerned about various issues especially motivation experiment and presentation one of the reviewers was initially positive about this paper but downgraded hisher score due to unresolved problems in the proposed me...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds upon the observation by nakkiran and bansal 2020 and proposes a theoretical framework to study conditional samplers which are interpreted as classifiers trained over noisy labeled data the...
the paper develops a theoretical framework in the context of learning theory for training overparameterized networks with label noise and shows that in the context of ensemble distillation teacher networks need not be good classifiers as long as they are good conditional samplers in the sense defined in the paper this...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a comprehensive analysis of the use of pretrained image models for some major vision tasks the paper shows the importance of wellplaced tunable parameters to bridge the gap between frozen...
this paper presents a study of how well pretrained and frozen large models work across several downstream computer vision tasks the paper initially received mixed reviews with two of them being borderline accept and one borderline reject the reviewers shared their concerns about the novelty of the investigation and its...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of automatic optimizer search with a focus on deep learning problems the authors define a set of math operators frame the problem as a treebased path search and apply montecarl...
two of the reviewers were positive on this paper and thought the work would be of interest to the community one reviewer felt the paper lacked clarity but the other reviewers disagreed i think there will be interest in the optimizer search for deep learning that this paper presents and feel it should appear in neurip...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes dealing with tree search planning in continuous action spaces by learning affordances the authors propose an architecture composed of several modules where they are able to plan ahead in ...
the paper proposes a learning framework that allows for planning in continuous action spaces using tree search key to the approach is performing tree search over a discrete set of learned affordances that provide a compact abstraction of the action space that facilitates planning the affordances are learned by passing ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new challenge for large pretrained models which can of course extend to any other model claiming to store language knowledge naive logical reasoning the main contribution of the paper ...
this paper introduces a dataset based on preexisting standardized tests of eliminationgridcompletionstyle logical reasoning puzzles expressed in text available in both chinese and english with some of the text coming from semiautomatic translation the early pretrained mlms bert and roberta perform poorly this paper i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: xview3sar dataset targets a critical yet unsolved topic illegal fishing the authors present the largest labeled dataset for training ml models to detect and characterize vessels from sar synthetic aperture ...
this dataset is a large dataset of 80m sq km of synthetic aperture radar satellite imagery with 220k instances of dark vessels for illegal fishing prevention it has clear societal benefits scientific value and novelty all the reviewers rate very positive for this dataset the authors have carefully addressed reviewers c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a generative model as an extension of finegan that aims to learn a disentangled representation for image shape and appearance across different domains rather than intradomain di...
the paper swaps characteristics of an object in one image onto those of another object in another imagefor example adding fur to a car the authors give some examples where the task could be useful further they successfully argue that this task is an illustration that the disentanglement task has been done well two ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper contributes a large dataset of simulated fractures on various mesh objects assembled from publicly available datasets their earlier contribution of generating more accurate fractures than procedur...
the paper contributes towards generating realistic fractures where the fractured pieces themselves may not represent semantic part individually this presents a challenging task which requires understanding beyond semantic object composition the reviews are aligned in the largely positive reviews 4 positive 1 negative f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents jobviewer a visualization that helps monitoring a high perform computing system the visualization uses a sequence of rectangles to show jobs along with curved links to connect to racks u...
the reviewers think that key design decisions lack justification and alternative designs may be better the paper could be stronger by validating the design choices through explicit discussions of alternatives and rationales the user study is also considered weak given that only three participants were involved and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide a new perspective on the why momentum is useful for generalization in neural networks they provide motivating intuition around why momentum is not always useful including a great toy ex...
all but one of the reviewers recommended rejecting this submission the reviewer recommending acceptance pbhc was not confident in their assessment and was unwilling to champion the paper during the discussion phase making it very difficult for me to unilaterally overrule the de facto reviewer consensus and recommend ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors find 2 issues with adversarial imitation learningstyle algorithms i implicit bias in the reward functions and ii despite abilities of coping with little data high interaction with the environmen...
this work highlights the problem of biased rewards present in common adversarial imitation learning implementations and proposes adding absorbing states to to fix the issue this is combined with an offpolicy training algorithm yielding significantly improved sample efficiency whose benefits are convincingly shown empir...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper takes a causal viewpoint on selfsupervised contrastive representation learning the data is modeled as being generated from two independent latent factors style and content where conten...
the manuscript proposes a causal interpretation of the selfsupervised representation learning problem the data is modeled as being generated from two independent latent factors style and content where content captures all information necessary for downstream tasks and style captures everything that is affected by data ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper uses generative adversarial networks gan paradigm to achieve steganographysteganalysis but fails to dig deeper into obtained results to explain suitability of gan for steganographysteganalysis or the...
1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the problem and approach steganography via gans is interesting the results seem promising 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your expert opinion be sure to indica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript describes a new lowbit training framework as well as a new lowbit format and shows promising accuracyprecision tradeoffs and better energy efficiency the proposed method achieves no accuracy...
the authors propose a lowbit floating point quantization method to reduce energy and time consumption for deep learning training dynamic quantization and mls tensor arithmetic are used to enhance the effectiveness of mls the motivation is clear and the efficient training is an important problem to address however the e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach to use annotated images from different domain to help with the training of videobased models the transformer can take both inputs and there are various objectives involved du...
this paper proposes structurevit svit a network architecture to incorporate structured information from images to aid in video tasks all four reviewers found several aspects of the paper interesting including the ability to use information from just a few images and be beneficial to video tasks they noted the thorough ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors present a new technique to learn from positive and unlabeled data specifically they are addressing the issues that arise when the positive and unlabeled data do not come from the s...
this manuscript proposes a new algorithm for learning from positive and unlabeled data the motivation for this work includes cases of selection bias where the positive label is correlated with observation the resulting procedure is shown to learn a scoring function that preserves the classposterior ordering and can thu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthis work provide a distributionally robust optimation dro based algorithm to address the generalized person reidentification without demographics the key difference in experimental settings is all of...
this paper receives recommendations from four experts who are actively working on the reid problem two reviewers give more positive comments while the comments of the remaining reviewers are relatively negative the paper aims to achieve generalizable reid without demographics dgwdreid however two reviewers umsc and cu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes variational extension of neural cellular automata for image generation it performs experiments on mnist noto emoji and celeba the likelihood results are shown to be significantly behind ...
meta review for variational neural cellular automata this paper proposes a generative model a vae whose decoder is implemented via neural cellular automata nca the authors show that this model performs well for reconstruction but they also show that the architecture has some robustness properties against damage during...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors report the transformer model with global attention heads rather than the local ones as in other types of transformer architectures strengths the paper is wellwritten and interesting to read mat...
this work proposes a version of transformers with an admixture of attention heads the reviewers find the idea interesting they find the paper to be well organized and presented and with sufficient empirical support for the main conclusions there was some initial concern over similarity to prior work but the reviewer in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new metarl algorithm containing two main components 1 model identification 2 experience relabeling model identification models the next state and reward function condition on the previ...
the paper was evaluated by 4 knowledgeable reviewers and got mixed scores while most reviewers appreciated the new intuitive approach to meta rl there were severe concerns about algorithmic choices and the evaluations that led to a poor score from some reviewers these concerns are summarized below the motivation of ex...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new benchmark to evaluate transferability of models that learn visual representations from language supervision consisting of 20 image classification ic and 35 object detection oc data...
the paper presents a new exciting benchmark for evaluating pretrained visionlanguage models it was reviewed by five experts who are uniformly supportive
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies sufficient dimension reduction problem and proposes an incremental sliced inverse regression algorithm numerical experiments are provided to demonstrate the effectiveness of the proposed ...
the paper investigates an incremental form of sliced inverse regression sir for supervised dimensionality reduction unfortunately the experimental evaluation is insufficient as a serious evaluation of the proposed techniques more importantly the paper does not appear to contribute a significant advance over the exten...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present an approach for testing calibration in conditional probability estimation models they build on a line of work in the kernel estimation literature assessing whether the conditiona...
this is a well written paper addressing a challenging problem with an original approach while one reviewer claims there is not a strong call for calibration of regression tasks this may well be because methods dont exist certainly calibration is a critical tool for classification the major failing of the paper howev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a simulationbased inference method for increasing the simulationefficiency of neural posterior estimation using an alternative proposal distribution the proposal is constructed by trunc...
this paper received generally positive reviews with one reviewer originally weakly backing rejection but ultimately backing acceptance after substantial discussions and the other three confidently backing acceptance from the off based on the reviewers comments and my own assessments i see the positives and negatives o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in continual learning settings one of the important technique for avoiding catastrophe forgetting is to replay data points from the past for memory efficiency purposes representative samples can be generate...
this paper uses an autoencoder with neural style transfer to generate images from previously seen classes to avoid catastrophic forgetting in continual learning while reviewers had some concerns about the paper experiments on highresolution images comparison with fearnet authors have addressed all the concerns r1s con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an entropydriven mixedprecision quantization strategy the basic idea is to formulate the neural network as an information system and then define a quantization entropy score to capture t...
this paper proposes a joint architecture design and quantization method by casting it as an entropy maximization process reviewers give consensus acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper includes multiple experiments that test for a broad range of important scenarios while considering harmonization algorithm the authors designed five relevant experiments evaluating noise removal...
this paper presents comprehensive experiments with two popular approaches to mri harmonization combat and cyclegan reviewers appreciated the extent of the experiments but also had concerns about lack of certain details evaluation metrics comparison and novelty the first three have been addressed to some extent in the ...
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: this paper presents the one technique using label propagation with meta learning the label smoothness is used to pseudo label the nodes in the graph the experimental results look promising in two conditions...
we thank the authors for their detailed answers and for providing an updated version of the paper addressing several of the issues raised by the reviewers including new experimental results the paper is technically correct the comparison with other methods is thorough and includes ablation studies clarifying the contr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a method for unsupervised disentangling of both discrete and continuous factors of variation in image data it uses an autoencoder learned by optimising an additive loss composed o...
the paper proposes a principled modeling framework to train a stochastic autoencoder that is regularized with mutual information maximization for unsupervised learning this autoencoder produces a hybrid continuousdiscrete latent representation while the authors response and revision have partially addressed some of the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the generalization properties of simple convolutional neural networks with a single convolutional layer equipped with some nonlinearity followed by averaged pooling and then a fullyconnect...
the paper analyzes convolutional kernels and their sample complexity as compared to different architectures and in particular the effect of pooling the analysis proceeds by characterizing the rkhs in this setting for a distribution on the cube and using results by mei and others to obtain separation between different a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studied a stochastic conditional gradient method for nonconvex constrained optimization under the markovian sampling setting where the data comes from a markov chain they provide the complexity re...
the paper considers constrained smooth nonconvex problems in a stochastic setting where the data comes from a markov chain for this setting the paper proposes an algorithm that converges to an epsilonstationary point with stochastic oracle complexity 1epsilon25 the paper further shows that in the settings where the pro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies data and model poisoning attacks in federated learning fl it argues that there is an equivalence between data poisoning and model poisoning attacks by restricting attention to linear and l...
this paper presents an analysis showing the equivalence between gradient and data poisoning attacks in personalized federated learning settings the paper contains an analysis of an attack that requires only a single corrupt learning agent providing results in the setting of pac learnable models the reviewers had severa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to solve a classification task by jointly solving a problem of atlas building for each specific class thus the classifier network uses the shape features that are used to deform the temp...
although there were a couple of initial questionsconcerns about certain aspects of the paper all reviewers appreciated the approach the quality of presentation and the empirical results after reading all responses by the authors my impression is that all questions have been answered satisfactorily during the rebuttal p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper performs an ablative study on the two components involved in training unsupervised mt systems 1 backtranslation loss 2 denoising autoencoding loss it links the reconstruction loss to elbo where t...
this paper attempts to explain why popular unmt training objective components backtranslation and denoising autoencoding are effective the paper provides experimental analysis and draws connections with elbo and mutual information reviewers generally agree that the papers goal is worthy trying to form a better theoreti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present an approach for continual learning based on replay by finding a way to represent hyperparameters of the replay learning process specifically the replay ratio and the amount of replay it...
this manuscript studies the problem of continual learning and introduces a reinforcement learning agent to select hyperparameters for replaytraining ordinarily replay based mechanisms for continual learning use settings and hyperparameters that are chosen and fixed through training if it was possible to adjust replay d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a trigonometryaware neural network tankbind for drugprotein binding site prediction in the proposed method the protein is first segmented into several functional blocks by an outofshelf...
this is a bordeline paper all three reviewers liked the paper and appreciated the feedback from the authors the numerical score are 7 5 and 5 the two 5s appear a bit on the low side given the comments the paper tackles the difficult problem of proteinligand docking with a geometrical gnn approach inspired in part by ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a metaarchitecture for learning from explanations this architecture is showcased by solving different instantiations of the same relational task oneoddout identifying the one object t...
this paper studies the use of natural language explanations during the training of an agent for oddoneout tasks experiment results show that using quality explanation as abstract information about object properties helps with the agent performance as compared with the vanilla method strengths experiment results are c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a characterlengthconstrained sentence summarization model by extending the length constraint from wordlevel to characterlevel in inference the major technical part follows naus liu et al ...
this paper addresses sentence compression by controlling the output by the number of characters the proposal relies on a nonautoregressive generation model interfaced with a dynamic programming algorithm where lengths are divided into buckets for efficient inference the proposed algorithm has advantages over previous m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper tries to answer the problems of regularizing gans they reparametrize the discriminator to be an explicit function of two densities the generator probability density function q and a struct...
the paper proposes to define the gan discriminator as an explicit function of a invertible generator density and a structured gibbs distribution to tackle the problems of spurious modes and mode collapse the resulting model is similar to r2p2 ie it can be seen as adding an adversarial component to r2p2 and shows compet...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to address a failure mode in the traditional singlestep adversarial training known as catastrophic overfitting they show that compared to the common practice of generating the adversarial pe...
this paper aims to address the catastrophic overfitting issue in singlestep adversarial training specifically this paper finds that 1 using larger random noise initialization and 2 avoiding clipping adversarial perturbations are the two keys for stabilizing singlestep adversarial training overall the reviewers find t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the correlation between the attention mechanism and many prior arts heuristically this paper links the currently hot topic attention mechanism with many milestones works in the past decad...
this paper points out connections between the selfattention module in transformers and some prior art including kernel regression the nonlocal mean algorithm locally linear embeddings and the selfexpression algorithm for subspace clustering based on these observations the authors argue that the innovation of selfattent...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a loss learning framework for the timeseries forecasting regression problem they introduce two learning blocks one for producing the next step prediction and the other for learning the l...
the metalearning framework based on learning the loss function for time series forecasting is an interesting and important topic however the reviewers think the literature baselines and experimental results need significant improvement
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method to the automatic generation of pattern collections for pdb heuristics the method incrementally combines a set of patterns using a saturated costpartitioning and only adds a...
dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: edit on second review i apologize again for the tone of my first review i sincerely tried to understand the paper but i could not when i first read it a reread the paper and finally understood it during t...
the work tackles the task to convert an artificial neural networks ann to a spiking neural network snn the topic is potentially important for energyefficient hardware implementations of neural networks there is already quite some literature available on this topic compared to these the manuscript exhibits a number of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: na for reproducibility reviewers na for reproducibility reviewers na for reproducibility reviewers na for reproducibility reviewers na for reproducibility reviewers na for reproducibility reviewers docsepth...
after the discussion phase the authors resolved nearly all problems regarding reproducibility although the score in the review was not updated in addition one reviewer also increased the score to 5 in their reply in view of the strengths and importance of the topic i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of nodes classification with few labeled data and missing graph structures the proposed solution is expected to infer unobserved graph structure as well as the parameters of...
the paper received 5 reviews one of which had positive feedback although there are merits associated with the paper several concerns raised in the reviews and the discussion period that prevents the paper to be accepted it appears that experiments on noisy graphs are not properly done and competitive baselines are not ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a parameter efficient finetuning method that works for fewshot learning the main contributions of the paper include extending t0 to work for fewshot learning a single recipe for fewshot...
this paper demonstrates that fewshot parameterefficient finetuning peft is more accurate and dramatically less computationally expensive than incontext learning icl and introduces a new peft method that varies the activity level depending on the learned vector and achieves high performance with only a few parameters in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new decisionbased attack for vision transformers vits with improved query efficiency in particular it explicitly considers the difference in noice sensitivity of different patches and ...
the paper proposed a new decisionbased black box attack approach for vits the reviewers appreciate the novelty extensive experiments and clear writing and unanimously vote for acceptance authors responses helped clarify reviewer concerns and new results as well as analysis were presented in the rebuttal acs suggest acc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work developed by the authors in the paper consists in a design of a novel convolutional operation to achieve learning on graph data this convolutional operation lies at the crossroad of isotropic gcn a...
the paper explores the advantages of both gcn and gat by proposing a learnable network that can interpolate between gcn gat and cat for each layer automatically the proposed research idea is novel and discovers an interesting perspective by combining and interpolating between convolution and attention networks the pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: mean field is a common and efficient approximation method the paper provides solid proof on approximating non uniform marl problem via mfc problem upper bound of the approximation error are also given expe...
meta review the paper makes an important theoretical contribution to the area of mean field control it investigates what happens when agents interact in a nonuniform way while mean field control assumes uniform interaction the paper derives some theoretical results under suitable assumptions while this is an importa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this dataset includes daily living action data collected by two cameras and several imus from 51 strokeimpaired patients and 20 healthy subjects different from previous human action datasets this dataset fo...
this submission receives reviews from 6 different reviews most reviewers 56 appreciate the contribution of the new dataset they acknowledge that the problem setup is interesting and the dataset may be useful for different research communities computer vision time series analysis medical on the other hand reviewer 38gn ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper demonstrates that a simple greedy random search algorithm in dct space based on score feedback is able to synthesize adversarial examples with quite good query efficiency the algorithm is demons...
the paper considers a procedure for the generation of adversarial examples under a black box setting the authors claim simplicity as one of the main selling points with which reviewers agreed while also noting that the results were impressive or promising there were concerns over novelty and some confusion over the con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper contributes a large dataset of simulated fractures on various mesh objects assembled from publicly available datasets their earlier contribution of generating more accurate fractures than procedur...
the paper contributes towards generating realistic fractures where the fractured pieces themselves may not represent semantic part individually this presents a challenging task which requires understanding beyond semantic object composition the reviews are aligned in the largely positive reviews 4 positive 1 negative f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an instrument learning approach for nonlinear instrumental variable regression with high dimensional instruments stateoftheart iv estimators with fast convergence rates generally rely on ...
an instrumental variable iv regression for highdimensional data is a challenging problem as it involves either a cumbersome twostage method or a complex minimax procedure kernel methods recently arise as promising tools that enable the solutions to be computed in closed form unfortunately the convergence rate of the va...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method to learn neural nets that preserves the subclass similarity in the embedding space the proposed method adds a prototype layer which stores the representative prototypes of some ...
the authors propose a neural network model to preserve the subclass similarity the key of the model is to add a prototype layer to a multiscale deep nearest neighbor network the prototype layer stores the representative prototypes of some finegrained subclasses the use of the prototype layer preserves intepretability a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a new method of doing curriculum learning for goaldirected rl it uses a notion of reachability traces to model temporal closeness of states to a goal state the reachability trace functi...
the authors present a method for creating a curriculum for goalconditioned reinforcement learning in particular they propose to use reachability traces to define a sequence of subgoals that aid learning during the review process the reviewers mentioned the novelty of the proposed approach and the intuitive explanations...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a simple technique for finding worstcase maze environments that result in bad performance the adversarial optimization procedure is a greedy procedure which alternately perturbs maze env...
the paper presents adversarial attacks to maze generation for rl agents trained to perform 2d navigation tasks in 3d environments dm lab the paper is well written and the rebuttals and additional experiments section 4 make the paper better the approach itself is very interesting however there are a few limitations and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper attempts to compare different robustness definitions the paper discusses the relations between various definitions and conducts experiments to show the relations strengths this paper attempts to...
the paper studies and compares different notions of robustness however reviewers found there are many unjustified claims in the analysis and the paper does not provide novel findings nor useful approaches
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper follows a very active line of research on gradientbased optimization methods for convolutional neural networks in particular this work proposes a method that can be applied as an extension to pop...
the paper begins with an observation in standard trained cnns that the correlations in the output channels are high building upon this the paper proposes a new optimizer which modifies the gradients to encourage corelations among output channels they provide a theoretical foundation for the method by deriving the gradi...