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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses the issue of quantization for neural network and in particular focus on ternary weight networks the proposed approach has two phases the first phase performs quantization and dequantizat... | the authors propose a technique for quantizing neural networks which consist of repeated quantizationdequantization operations during training and the second step learns scale factors the method is simple clearly presented and requires no change in the training procedure however the authors noted that the work is somew... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper considers the problem of spurious features affecting robustness of machine learning models the papers goal is to show that if we can make assumptions on the knowledge of the spurious fea... | reviewers raised concerns about the papers clarity interchangeable use of subtly different terms notation typos and how realisticpractical certain assumptions are the authors are encouraged to incorporate the reviewers detailed comments for a future submission |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the stackelberg gan framework of multiple generators in the gan architecture the architecture is similar with previous multiplegenerator gans madgan and mgan in fact its even simpler in ... | this paper proposes new gan training method with multi generator architecture inspired by stackelberg competition in game theory the paper has theoretical results showing that minmax gap scales to eps for number of generators o1eps improving over previous bounds paper also has some experimental results on fashion mnist... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
kernel regimes have been a major workhorse in studying the training dynamics of deep neural networks previous work has shown that networks with large initialization scale and trained with gradient flow will... | the authors make a case for a phenomenon of deep network training that they call the silent alignment effect that while the training error is still large the ntk associated with the network aligns its eigenvectors with key directions in feature space they support this with nonrigorous theoretical analysis of linear ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores a simple elegant idea the use of natural language as supervision when performing instruction following tasks centered around an evaluation of various tasks in the babyai complex grid wor... | the reviewers all consider the paper to be below the acceptance bar while the revision addressed some concerns several critical ones remain open this includes empirical concerns with regard to the extremely simple gridworld environments used and with regard to the vague distinction between instructions and goal specifi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a graph convolutional network that can be inequivariant to isometric transformation the method is applied to a linear toy problem of predicting the result of several diiferential operator... | this paper makes an innovative change to the adjacency matrix definition in graph convolutional neural networks gcns kipf welling 2017 the change results in computationallyefficient isometric transformation invariance there were a number of concerns raised by reviewers and the author responses and revisions and the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed paper introduces a novel approach for the segmentation of sequences the proposed method is based on twosided power distributions tsp that are mathematically welldefine and enable differentiabil... | in this paper a method to solve the segmentation problem by continuous optimization is proposed by using a soft differentiable warping function the proposed method is theoretically sound and interesting experiments such as the data analysis of covid19 are also presented this is a good paper in terms of both theory and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper brings the recently introduced idea of control barrier functions cbf as safety certificate to the multiagent land to this end it introduces the idea of decentralized cbfs this is followed with a ... | initially there were some shared concerns about the work being too incremental lack of technical clarity on the algorithmic side and experiments and lack of clear mathematical formulations the authors did a good effort and cleared up many questions and remarks satisfactorily and several reviewers have increased their s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of domain generalization via invariant feature learning studied from the lens of information theory the motivation is to use rate distortion theory to obtain a domaininvariant... | casting domain generalization as a ratedistortion problem and developing an informationtheoretic approach to solving it looks like an interesting idea while the proposed method is technically sound the assumption made in the proposed method is too strong to hold in realworld applications though in the rebuttal the auth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies why optimizationbased adversarial attacks have close to zero target transferability in attack realworld asr pipelines the paper identifies 6 previously unknown factors that impact target ... | this paper explores why adversarial examples do not transfer well in adversarial examples on automatic speech recognition systems the authors propose a number of potential causes that are then quickly evaluated in turn this could be an excellent paper but in its current form it is borderline the main problem with the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a web ide to i decrease the complexity of environment generation using pcg ii simplify the build process iii reproducibility which allows i design and debug arbitrarily complex pcg ... | the paper describes a web interface to design rl grid worlds based on the griddly engine this is a useful tool that lowers the barrier for experimenting with various rl grid worlds the authors addressed the main concerns of the reviewers who unanimously recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed an algorithm to model trust numerically in parallel with the policy learning process in multiagent scenario the algorithm resembles an overlay on any reinforcement learning algorithm wi... | the paper presents a methodology for modeling and learning trust in a multiagent reinforcement learning system the reviewers considered this to be an interesting and important question to answer nevertheless they maintained concerns on multiple fronts the paper could benefit from being more focused authors are strongly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper formulates the dataset distillation as a memory addressing process where the synthetic datasets can be generated through an addressing matrix based on a learned memory representation the proposed... | this paper proposes a new dataset distillation method that achieves sota results on several benchmarks authors were very responsive to answer reviewers questions and made significant improvements to the manuscript also adding additional results confirming the benefits of their approach at the end of the discussion peri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the combinatorial semibandits problem under two different settings 1 probabilistically triggered arms setting where the set of played arms can trigger reward on other arms 2 the nontrig... | thank the authors for their submission the paper studies combinatorial multiarmed bandit with probabilistically triggered arms that is an mab setting in which at each round the learner chooses a subset of the arms and obtains a reward that is some function of expected rewards of the chosen arms in addition the learner... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a technique to encourage generating certain tokens ie nonrepetitive ones in text generation the idea is to scale the softmax probability for certain words in the novel set by a factor o... | this paper proposes scalegrad a simple technique to encourage generating nonrepetitive tokens for text generation tasks the key idea is to modify a language models tokenlevel distributions by rescaling the softmax probability for certain words in the novel set by a factor of gamma experiments show that scalegrad outper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a testbed for pictureword interference in image classification models the authors specifically investigate the performance of clip to understand whether such languagebiased model shows s... | this paper presents a new benchmark task for models similar to clip for evaluating how visual word forms interfere with the visual recognition of objects in images when the former are superimposed on the latter ones specifically by superimposing words belonging to different categories eg hypernyms vs basic labels the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on learning generalized locomotion policies that can be applied to a variety of quadrupedal robots of similar morphology num dofs and links are constant the paper procedurally generates ro... | please check the comments of the reviewers in detail strengths interesting and promising results relatively simple method hardware experiments on 2 different quadruped robots weaknesses analyses could be deeper see the reviewers comments incremental advance randomization is not a novel idea and the paper almos... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes to speed up diffusion models by progressively distilling a score network with deterministic dynamics authors report significant improvement of sample quality using very few iterations aut... | this paper presents a faster sampling method for diffusion based generative models which are usually slow in practice the key idea is based a progressive distillation approach eg how to distill a 4 step sampler into a 1 step sampler the paper studies the various design choices for diffusion models which existing work h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a personalized neural architecture search algorithm fedpnas for fl fedpnas searches for an architecture with a base component shared across clients and a personalized component it also u... | the reviewers had remarkably consistent feedback about this paper they appreciated the formulation of the federated learning problem with architectures having both shared and private personalized components on the other hand they felt the experiments were insufficient to prove the effectiveness of the method and had se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the authors propose a novel computational pipeline to tackle a wellknown problem in zeroshot learning although multiple visual instances are available for the classes and categories to be reco... | three experts in the field recommend accepting the paper ratings 776 after the author response appreciating the improvements the authors made note the ac is mainly disregarding r3s rating as r3 did not respond to the early request of the ac to clarify their review did not respond to the authors request for clarificatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
im a fallback reviewer assigned after initial reviewer failed to submit qualityclarity the work is fine the presentation is clear enough the experiments are all on simulated data with 2ghz scattering simul... | the reviewers found the work interesting and sensible the application of latent space constrained autoencoders to wireless positioning certainly seems novel applications can certainly be exciting additions to the conference program however the reviewers werent convinced that the technical content of the paper was su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall summary this paper proposes a generative model for sequential data structured which uses latent relational constraints and conditions upon them to generate the actual sequence the authors propose ... | this paper was pretty borderline but ultimately i am recommending rejection for the following reason the two most negative reviewers in terms of original score were concerned about both the quality of the evaluation and whether the evaluation metrics actually meant what the paper claimed they meant the authors did ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the highlevel problem this paper tackles is that of endowing rl agents with recursive reasoning capabilities in a multiagent setting based on the hypothesis that recursive reasoning is beneficial for the ag... | pros novel idea of endowing rl agents with recursive reasoning clear well presented paper thorough rebuttal and revision with new results cons smallscale experiments the reviewers agree that the paper should be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method to improve the performance of graph embeddings by using psl to reason using ontology axioms to predict the types of entities the iterefin method is able to the predicted types a... | this paper proposes a novel method iterefinee for cleaning up noise in kgs this method combines the advantages of using ontological information and inferences rules and kg embeddings with iterative cotraining iterefinee improves the task of denoising kgs on multiple datasets while the importance of multiple iterations ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper combines three branches of approaches 1 sample selection 2 noise robust loss 3 label correction to address label noise in classification in a single framework specifically the method includes 1 wa... | this paper a framework of learning with noisy labels named pars that combines three types of approaches ie sample selection noise robust loss and label correction the framework leverages both original noisy labels and estimated pseudo labels of all samples for improving the training performance and the empirical studi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a ddpm based model for video frame prediction it uses a randomized masking the randomly condition some frames on others allowing for long term predictions authors tested different samplin... | this paper proposes one of the first video diffusion models concurrently with a couple other papers and presents an architecture that admits many different approaches to sampling a long video video generation as important but unsolved problem and this paper makes an important step towards long video generation i do agr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of data compression using kernel induced points learned through deep kernel learning the main contributions of the paper are 1 the formalism of the notion of epsilon appro... | three reviewers agree on the value of the contribution and recommend acceptance a reviewer votes for rejection but the authors have clarified all the major concerns raised by the reviewer therefore i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce amigo an approach to curiosity in which an adversarial teacher agent proposes goals that the student agent attempts to achieve the student obtains an intrinsic reward of 1 when it achi... | this paper was reviewed by four experts in the field based on the reviewers feedback the decision is to recommend the paper for acceptance to iclr 2021 the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper the authors are encouraged to make the necessary c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a genetic algorithm is used to do an evolutionary architecture search to find better treelike architectures with multiple memory cells and recurrent paths to speed up search an lstm based seq2seq framework ... | in this work the authors explore using genetic programming to search over network architectures the reviewers noted that the proposed approach is simple and fast however the reviewers expressed concerns about the experimental validation eg experiments were conducted on small tasks issues with comparisons cf feedback fr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address neural architecture search nas scenarios in particular a framework metad2a is proposed which yields a neural architecture for a new dataset in a nutshell the framework learns a datasetto... | the authors proposed a meta learning framework for nas namely metad2a meta datasettoarchitecture that can stochastically generate graphs architectures from a given set dataset via a datasetarchitecture latent space learned with amortized metalearning each dataset is encoded via a set encoder and the architecutres are o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers an important problem of generating adversarial examples to attack a blackbox model the paper proposes a new approach to consider an adversarial example as a result of a sequence of pixel... | the paper presents a new bayesian optimization method based on the gaussian process bandits framework for blackbox adversarial attacks the method achieves good performance in the experiments which was appreciated by all the reviewers at the same time the presentation of the method is quite confusing which currently pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
originality the originality of the paper consists in showing that for regression and classification under determinism equalized odds is in general not attainable it is also shown that with a stochastic pred... | this paper revisits the attainability of the equalized odds definition using a causal view the paper revealed scenarios when the equalized odds definition is in fact unattainable conditions for when the equalized odds holds true are given too and for these cases the paper further studies the optimality of the predictio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider a general family of parallel mcts algorithms and derive some properties which algorithms in this family must satisfy in order to converge to zero excess regret on any mdp they then ana... | as the reviewer confidence of the reviews of 28 or lower i made a full and detailed pass of submission as it was requested by the pcs the paper studies how to parallelization of mcts affects its performance and provides the analysis of the excess regret how much error we incur by parallelizing as opposed to single... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced an alternative sampling method with an application on generative models by convolving an unknown distribution px with a factorial kernel called multimeasurement noise model mnm the res... | this paper studies the problem of generative modeling by convolving an unknown complex density with a factorial kernel called multimeasurement noise model mnm to obtain a smoother density that is easier to sample from poisson and gaussian mnms are proposed for the convolution experiment regarding image synthesis are co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new method that creates fullbody avatars from selfportrait monocular videos the proposed method specifically models the body the head and the hands the neural volumetric renderings of w... | this paper was reviewed by three experts in the field based on the reviewers feedback the decision is to recommend the paper for acceptance to neurips 2022 the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper for example more discussion can be added on ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a series of graph neural networks gnns trained on finite element analysis fea data to model deformations of brain tissue during surgery the authors evaluate these networks on two separat... | the paper proposes a method for modeling soft tissue deformations using a graph neural network trained to approximate the solution of the more classic finite element method the proposed method is significantly faster than the classic method and with sufficient accuracy enabling the prospect of using the method to predi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new method prbo and it incorporates user knowledge on the location of potential optimum to the prior used for bayesian optimization the authors claim that bo can be solved more efficie... | this paper was quite contentious while there is clearly promise in the method and the idea and reviewers appreciate the importance of encoding nontrivial prior knowledge into bo three reviewers express major concerns regarding the presentation including worries about overclaiming contributions the specification of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed to parallelize the inference and training of gru networks a type of recurrent neural networks at the time dimension the main contribution is the application of multigrid reduction in tim... | this paper presents a way of using multigrid techniques to parallelize gru networks across the time dimension reviewers are uniformly in favor of accepting the paper the main strength is that the paper provides a new perspective on dealing with long input sequences by parallelizing rnns across time the main weaknesses... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a labeled blockchain graph dataset from unspent transaction output and accountbased blockchains called chartalist the dataset can be used for modeling analysis and representation of block... | all reviewers acknowledge the quality of the paper and recommend acceptance with scores ranging from 6 to 8 the authors have constructively engaged into the discussion with the reviewers which has contributed to improving the evaluation of some reviewers the proposed dataset can have a significant contribution in attr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose a novel approach to audiovisual action localization they introduce a multistage cross attention approach to fuse audiovisual features and a consistency loss to enforce tempora... | the paper focuses on the task of weakly supervised activity detection wsad the proposed method combines various ideas together i a crossattention module for audiovisual information fusion and better representation ii an openmax classifier to treat the background as an open set and iii loss terms to encourage temporal c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the assumption of agents preferences over items are ordinal and have uncertainties which is practical 2 corresponding fair notions and algorithms 3 the paper is wellwritten and is easy to follow althoug... | meta review the reviewers all concur that this is a nicely done paper which provides nontrivial results about an interesting setting the main criticism made by the reviewers is that this work is to some extent of incremental nature authors should therefore make an effort to emphasize the significance of their results... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper addresses how to learn policies for tasks in which constraints are specified in natural language towards this the paper proposes a model that encodes the different types of natural languag... | the goal of the paper is to learn policies that can solve a given task while adhering to certain constraints specified via natural language the paper closely builds upon prior work on constrained rl and passes the representation of natural language constraints by pretraining an interpreter experiments are done in a new... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a study on the tradeoffs of image prediction for model based rl they find that image prediction loss is important and surprisingly reward prediction accuracy can be ne... | the authors compare different model based r algorithms to see whether observation prediction is important they show that as expected it is on the other hand they seem to show that latent space prediction is not very useful the study is limited to domains with image data does this domain have something particularly spec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method for regularizing dnn classifiers during training by encouraging the classifier to have high entropy on embeddings of mixed samples from two different classes as a proxy for the ... | this paper proposes a new regularizer based on entropy maximization of samples near the decision boundary to improve the calibration of neural networks while maintaining their accuracy the method seems simple sufficiently novel and has promising results however based on the review process described below i feel the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the goal of this paper is to complete the theoretical subset inclusion relationships given in geifman et al 2020 the authors proved that the rkhs of the the neural tangent kernel ntk with any number of laye... | the paper closes an important gap in our understanding of neural tangent kernels in addition the used techniques are novel my low confidence is mainly based on the fact that the review process at conference is not perfectly suited to deal with such papers since their review would actually require both expert reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers a particular setting of socalled metareinforcement learning metarl where there is a distribution over reward functions the transition function is fixed and with some access to this distr... | this paper introduces unsupervised metalearning algorithms for rl major concerns of the paper include 1 lack of clarity the presentation of the method can be improved 2 the motivation and justification of applying unsupervised metalearning needs to be strengthened more discussions and better motivating examples may be ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper pushes the limit of fairness impossibility theorem where all three group fairness definitions cannot be satisfied simultaneously based on an integerprogramming approach the authors propose a fram... | this paper provides an interesting framework that investigates tradeoffs of multiple fairness criteria the reviewers agree that the proposed techniques are interesting and make meaningful contributions to algorithmic fairness please incorporate the reviewers suggestions in your next revision eg not using tractable to d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to learn graph structured logical rules on knowledge graphs it proposes three tasks which i summarize as learning rule structure instantiating a graphstructured rule fill in a specific relati... | while all reviewers see a lot of value in the paper it cannot be accepted in its current form too many issues with clarity a more focused paper with clear task and contributions is recommended the revisions and answers to reviewer questions are greatly appreciated and go a long way towards addressing these concerns for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new framework and algorithm for explainable rl given some limited domain information and observed behavior by an actor the authors propose to search through a space of possible model ... | this paper is about explainable ai explaining a blackbox agents learned behavior via how it aligns with an observers anticipated behaviour this paper was a bit polarizing with the reviewers first lets summarize on the agreements between the reviewers they all agreed the problem of study is interesting and important ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
postreview comments after reading the reply i decided i will keep my low score though it hurts to do so for a paper into which the authors definitely invested a lot of energy here is the reason why i thin... | the reviewers have not supported the acceptance of this paper where the key weakness is that the study of the proposal neglect effect is not sufficient see the reviews for the details i agree with the assessment of the reviewers and recommend rejecting the paper in its current form |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use an uncertaintyweighted objective for offline rl with bear kumar et al that penalizes the mmd distance between the learned policy and the previous policy the uncertainty weighted o... | being able to give confidence intervals or have a robust measure of uncertainty is very important for offline rl methods in this work they proposed a dropout based method to have a measure of uncertainty the authors provide an significant empirical improvements over other baselines nevertheless as it stands right now a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors argue that using average independent greedy matching of pixel embedding based on 46 layer cnn hypercolumns is a better metric for oneshot learning than just using final layer embedding of a 46 layer... | the reviewers are polarized on this paper and the overall feeling is that it is not quite ready for publication there is also an interesting interpretability aspect that while given as a motivation for the approach is never really explored beyond showing some figures of alignments one of the main concerns of the method... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two new techniques for the negative sampling of dynamic link prediction and two new visualization techniques and introduces five new dynamic graphs datasets from underevaluated domains li... | this paper presents multiple contributions towards understanding evaluating and developing better methods for dynamic link prediction this includes new sampling strategies that better match realworld applications a simple but surprisingly strong baseline which already beats several more sophisticated methods a ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes use of the leastcontrol principle which minimizes the amount of optimal control needed at equilibrium as a local alternative to backpropagation in recurrent neural networks the authors e... | as summarized by reviewer 5kjg this work proposes a theoretical framework for optimizing equilibrium neural networks by reformulating the original constrained optimization problem into a leastcontrol problem the leastcontrol problem is further solved with a twosteps iterative procedure that first drives the network dyn... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is generally easy to follow it addresses the problem of existing method in evaluation of generalization of neural networks it proposes an interesting method to evaluate fcnns which includes c... | the authors address a hot topic visualizing features and representation inside fcn to improve interpretability with an interesting methodology even though the paper had initially some limitations such as i the experimental scope is limited only one type of architecture tested ii some technical aspects need to be disc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to address an important question in reinforcement learning policy learning from highdimensional sensory observations the authors propose an algorithm for learning controllable embedding lce ... | this paper addresses the question of rl in highdimensional spaces by learning lowerdimensional representations for control purposes the work contains both theoretical and empirical results that shows the promise of the proposed approach while the reviewers had initial concerns including with a problem in a proof and q... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper introduces an rgflow model a hierarchical flow model based on the idea of the renormalization group the experiments suggest that this model is expressive and capable of learning the disen... | this paper proposes a hierarchical flowbased generative model to learn disentangled features at different levels of abstractions the key technical contribution is a combination of renormalization group and flowbased models the reviewers do find the idea interesting however the merit of the work with respect to stylega... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to find the inductive biases and properties for a good optimizer and hence improves upon the existing learnt optimizers strenths an analysis of stability of the learnt optimizers designs ... | all 4 knowledgeable reviewers recommended acceptance of the paper 2x accept 1x weak accept 1x borderline accept appreciating the the importance of the studied problem the first principles approach and the obtained theoretical and empirical results i mainly agree and recommend acceptance of the paper still i ask the aut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors take a further step by introducing active interventions in differentiable neural networkbased methods the intervention target is selected based on maximizing the disagreement betwe... | this paper proposes an active interventiontargeting mechanism for causal structure discovery after the discussion there was a consensus among the reviewers that this paper needs another round of revision to address the lingering concerns these concerns include providing a more fair experimental setup eg by properly dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work theoretically studies the heterogeneous crosssilo federated optimization problem previously mishchenko et al 2022 had shown that scaffold with randomized number of local steps which they call pro... | the paper proposes a new optimization algorithm for distributed learning with applications to federated learning the results are interesting and i recommend acceptance this paper benefited considerably during the author rebuttal phase and i strongly urge the authors to incorporate all the reviewer suggestions and the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an extension of firstorder motion model for image animation with a driving video by incorporating the unet based discriminator from schonfeld et al the main contribution of this paper is... | all the reviewers agreed that the paper lacks novelty the overall framework is based on fomm siarohin et al 2019 the mixing operation is similar to cutmix yun et al 2019 the improvements over the prior work are very subtle r1 and r3 mentioned the paper is not wellwritten the rebuttal didnt change the reviewers mind in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies oneshot 2d object detections the major conclusion is that when keeping the number of training images fixed increasing the number of training categories can significantly increase the ones... | summary the given work studies oneshot object detection and demonstrates an array of experiments that show that by increasing the number of categories in training data the model can get better at oneshot detection pros well written presents many experiments that are interesting improves sota oneshot performance on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the first direct policy search algorithm a modelfree gradient descent type algorithm with the global optimum convergence guarantee for solving the output estimation oe problem of a lin... | the paper establishes the first global optimum convergence guarantee for solving the output estimation oe problem of a linear dynamical system through a modelfree gradient descent algorithm the contribution is novel and of interest for the community all the reviewers are convinced by authors answers and agree that the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a dynamic sparse pretraining method to reduce the computational cost of bert pretraining the authors propose to dynamically prune the transformer to improve the efficiency of bert pretr... | all of the reviewers believe the paper should not be accepted and i concur with their recommendation for the reasons they mention four of the reviewers vebh idrp kofv 5k4c believe the technique proposed in this paper is not particularly novel rather the novelty is that it is being used on a bert model rather than the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks into the topic of generating gesture videos from given speech and images the proposed approach learns the representations of gesture motions as a codebook and learns the mapping from the sp... | this paper enjoyed a reasonable interaction between the authors and the reviewers with the authors addressing the reviewers concerns about the novelty of the proposed method its specificity to the talking head scenario the fact that the model is used in a speakerdependent fashion and some concerns about specific detail... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes otgnn which incorporates optimal transport distance to message passing of gnn the message passing is aggregated by using a wasserstein discrepancy for a point cloud the contrastiv... | this paper proposes a very interesting approach using wasserstein distance between graph embedded by gnn to perform prediction the paper is well written and the experiments suggest that the method works well in practice several reviewers had some concerns about computational complexity and model parameters that were... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses generative adversarial networks gan for unsupervised and semisupervised clustering neural network based generators are used for sampling using a mixture model the parameters of the generators... | the paper presents a method for unsupervisedsemisupervised clustering combining adversarial learning and the mixture of gaussians model the authors follow the methodology of ali extending the q and p models with discrete variables in such a way that the latent space in the p model comprises a mixtureofgaussians model ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work deals with the problem of groups bias robustness under distribution shift between train and test set the authors propose a mixup strategy where samples with i same label but different groups and s... | this paper proposes to handle socalled spurious undesirable signals that are correlated with but do not entail the label and where it is considered undesirable that a classifier should rely on these signals the authors propose a variation of the mixup training heuristic where for each example one selects a biasconflic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has proposed sphereface2 a new face recognition training scheme that applies a set of binary classification losses to each identities in the dataset to learn better face embeddings the proposed m... | all reviewers agree that the proposed sphereface2 approach training face recognition models by using multiple binary classification losses is interesting and innovative the reviewers agree that the paper is well written and are satisfied with the presented experimental study the rebuttal addressed all additionally ra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
review the authors propose a novel approach to estimate unbalanced optimal transport between sampled measures that scales well in the dimension and in the number of samples this formulation is based on a f... | after revision all reviewers agree that this paper makes an interesting contribution to iclr by proposing a new methodology for unbalanced optimal transport using gans and should be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method of batch bayesian optimization for combinatorial optimization problems especially permutation problems the authors found that the density function of lensemble one definitio... | this work introduces a new method based on bayesian optimization for solving combinatorial problems it uses determinantal point processes in their law method which is applied to permutation problems the authors provide a theoretical analysis of their method as well as empirical evidence on several of these problems ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
intuitive and principled extension of exponential family graph embedding to nonparameteric setting inference of embedding vectors algorithms for three different exponential family distributions bernoulli ... | meta review this is an interesting and wellwritten paper perhaps it it less obvious however how it contributes to the existing literature it clearly builds heavily on earlier work and only the rebuttal made it a bit clear at least to me what is innovative about the proposed approach there was a consensus among the revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a directional latent mapping network for facial attribute editing via text inputs the directional latent mapping network could correctly edit relevant attributes while preserving irrele... | this submission proposes a new loss function for facial attribute gan editing and transfer via text inputs a latent mapping mechanism based on styleclip is used to disentangle the semantic attributes of human face the resulting semantic directional decomposition network sddnet transfers attributes from reference imag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method is interesting and well explained authors carefully present enough mathematical and algorithmic details to make the proposed method highly reproducible authors present both quantitat... | the paper proposes a graph convolutional network that simultaneously operates on two interdependent networks namely structural and functional brain connectivity networks this is both relevant and challenging the paper is well written and presents supporting experiments there is some criticism of the experiments for not... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors first introduce two practices for applicationspecific hardware accelerators 1 designers need to spend considerable manual effort and perform large number of timeconsuming simulations to find acc... | the authors give an effective framework prime to tackle the challenges of automating hardware design optimization this problem is of importance to the community overall the reviewers thought the paper gave a nice clean approach to the problem and that the community would be interested with these results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the sample complexity of learning differentially private generalized linear models and proposes upper and lower bounds for this problem for smooth nonnegative glms their rates exhibit an ... | this work studies the problem of learning glms generalized linear models in the differentially private setting the main results are nearly tight upper and lower bounds on the sample complexity of this task in a number of settings including the smooth nonnegative case and the lipschitz case the reviewers appreciated the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides the first informationdirected sampling ids algorithm with theoretical guarantees for the learning in episodic mdp in the prior free setting the assumptions are the following the reward f... | this paper has been wellreceived by the reviewers already in the initial round and the reviewers were all happy with the authors responses the updates already made to the manuscript clearly showed the commitment of the authors to take all the reviewers comments into account for the final version after some discussion a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents modelbased ppolagrangian mbppolagrangian algorithm for safe rl which reduces epistemic and aleatoric uncertainty with an ensemble of neural networks and solves the underestimation proble... | this paper presents modelbased ppolagrangian mbppolagrangian algorithm for safe rl which reduces epistemic and aleatoric uncertainty with an ensemble of neural networks the authors experimented the proposed algorithm in safety benchmarks such as safety gym pointgoal1 and cargoal for which mbppolagrangian showed better... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method to segment pseudophoneme boundaries by combining multilevel cpc and boundary predictor agent the reward for the boundary predictor agent is the highlevel cpc objetive thereb... | in this paper the authors propose to use multiple levels of contrastive predictive coding cpc in selfsupervised learning to discover acoustic units the lower level of cpc learning is a conventional one while the upper level of cpc is carried out based on nonuniform downsampling with boundary prediction to facilitate t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new algorithm called tom2c to solve the multiagent reinforcement learning problem to achieve goals in the marl problem communication between agents is important however it is often cha... | the current paper presents a new method for communication and cooperation in multiagent settings specifically the authors propose to model other agents intentions and internal states using tom nets and using these predictions to then decide how to communicatecoordinate the authors present experiments in two multiagent ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a more general notion of optimal roc curve for binary classification they show that their definition relies on weaker assumptions than predecessors when considering the set of all possib... | i have read all the reviews and discussions carefully the reviewers all praised the novelty and the significance of the work the major complaint is that the proofs are too long to be carefully checked the authors have appropriately addressed some comments from the reviewers given the unanimous support i have decided t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the representation of modern neural networks from the perspective of kernels by extracting features from pretrained network models the authors show the effectiveness of the proposed n... | this is a borderline paper which elicited much discussion the paper proposes to extract features from pretrained networks through kernel functions it develops the idea of fisher kernels for neural networks calling it nfk the methodology applies to both supervised and unsupervised setting the paper shows that proposed ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work explores the problem of fewshot learning in 3d object detection it appears to be the first work in the field and contributes 2 datasetsettings based on sunrgb and scannet as well as 4 benchmarks m... | the paper received mixed reviews two reviewers were fairly positive on the basis of of the novelty of the problem the quality of the results the introduction of datasets and benchmarks and the proposed method although the method combines two existing solutions to point cloud detection and fewshot these reviewers consid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the important research question of to prune neural networks such that the gain in inference is maximized authors to convert the neural network pruning problem into a resource allocation... | structured neural network pruning is an important problem for efficient inference reducing the inference time of the network has many downstream impacts for practical deployments of learned neural networks the paper tackles the problem of reducing the gpu wall clock latency with structured pruning is a difficult proble... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes the approach for clustering the image data using zscores for semantic representation while the method seems novel there are questions to be clarified and the final rating is dependent ... | this paper addresses automatically learning the neighborhood size they call adaptive neighbor support for unsupervised representation learning with a vae the neighborhood size is determined based on zscores from by estimating a normal distribution in the latent space the paper is poorly written there are several gr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the papers main idea replacing a sequential variational approximation with simplertoinfer laplace approximation is well motivated to help improve inference without sacrificing modeling quality the paper pr... | meta review the paper proposes a new inference method for gaussian process statespace models that combines a laplace approximation over the temporal states with variational inference over the inducing outputs this approach learns a joint approximate posterior over the inducing outputs and the temporal states it is em... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission proposes to place temporal logic for temporal action segmentation model training compared to previous methods the authors leverage a linear temporal logic ltl formula to evaluate models pred... | this paper introduces an approach for incorporating declarative temporal constraints in the training of temporal action segmentation models in a modelagnostic fashion reviewers generally appreciated the proposed approach but questioned the scalability and generalizability of the constraint curation process and asked fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address the problem of exploration in reinforcement learning they suggest applying the maximum entropy principle over the state space and try to maximize the make the occupancy of the policy as ... | while the main idea of the paper using a maxent objective on the states of an mdp was considered interesting all reviewers raised the problem of clarity of the paper which needs to be drastically improved while the writing could be improved by the revsion these concerns could also not be fully alleviated by the rebutta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript presents adisgan affine disentangled gan a method for learning disentangled affine transformations of images such as rotation zoom and translation the authors enforce this disentanglement us... | most of the reviewers had serious problems with clarity to start out the authors have addressed some but not all of these problems more importantly there were issues of significance and experimental evaluation i concur with r4 on the experimental evaluation i think if youre going to explicitly specialize toward dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides regret bounds for largescale multilabel classification with hamming loss and precisionatk for both nonparametric knn and parametric estimation efficient scaling of the bounds is achieved ... | this paper studies regret bounds for multilabel classification and derives new upper bounds for surrogate risk minimization under a lownoise assumption although there is some concern regarding the conditions all reviewers support accepting this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new approach for the adversarial training of deep neural networks using their a2 automated attacker by using an efficient and stronger attack algorithm the adversarial perturbations c... | based on the idea of automl this paper proposes an attack method that efficiently generates strong adversarial perturbations the main idea is to use an attention mechanism to score possible attacks in the attacker space then sample the attack to perform based on the assigned scores the experimental results show that th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel convolutionbased operationoperator that could utilize the semantic features in an efficient and effective way for the segmentation task the main contributions of this paper are 1... | this submission got a mixed rating 1 borderline reject 2 week accept and 1 accept most of the concerns lie in the explanations on the details and experimental comparison with certain baselinesvariants the authors addressed them well by providing additional experiment results in their response the remained concern f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a well written paper proposing a datadriven approach to exclude noncomplier individuals for the estimation of treatment effects on an instrumental variables setup the significance of this method is ... | in this paper the authors make an observation that estimating compliance probability for a unit may be used to improve estimation efficiency by excluding rows of data that are likely to contain noncompliers overall the paper was received positively however one concern the authors should address is this statistical th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a consistency score cscore that measures the expected accuracy of a heldout instance averaged over different training sample sizes which can be useful for analyzing learning dynamics and... | this paper proposes the cscore which is the aggregation of a consistency profile that measures perinstance generalization naive computation of the cscore is expensive and thus requires an approximation the paper then uses the cscore to analyze several image benchmarks and their learning dynamics while the reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to improve face recognition performance in case each probe has multiple images by proposing cluster and aggregate caface a twostage technique to better aggregate extracted probe features in ... | the paper received 4 positive reviewers and the reviewer increasedremained their scores after the rebuttal the paper pursues a useful direction of unconstrained face recognition all reviewers agree that the results are impressive and the method has novelty |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes strategies for learning the structure of multiple sets of data observed over a common set of variables which may exhibit distribution shift the authors address this problem by augmenting... | this submission tackles an important problem and presents interesting ideas i am confident that the research will lead to good publications however in the particular situation here anonreviewer2 had serious concerns that are shared by me the authors made a great effort to clarify the situation but the current situation... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a method for the retrosynthesis prediction of polymers a challenge in this problem is the lack of synthetic data for polymers the method attempts to leverage models for smal... | this paper proposes a novel problem of polymer retrosynthesis and a method to solve it the authors formally define the polymer retrosynthesis optimization problem as a constrained problem to identify the monomers and the unit polymer with the recursive and stability constraints further since the main challenge with pol... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an inverse reinforcement learning framework that infers the timevarying reward function of the animal the reward is designed as a linear combination of rewards maps which can be weight... | unanimous acceptance recommendations reviewer yx2q had a long list of weaknesses and was the most thorough reviewer but most have since been addressed by the authors while prior timevarying irl prior methods exist their application their dynamic inverse reinforcement learning dirl method to animal decisionmaking in mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a general approach to leveraging differentiable simulator for the downstream tasks of system identification and visuomotor control without requiring access to the true underlying states ... | this paper proposes a method to solve the inverse problem of identifying parameters of a dynamic physical system from image observations the main idea is to train a renderinginvariant stateprediction risp which estimates the inverse mapping from the pixel to the state domain the authors introduce a new loss to this end... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit the authors clarified the presentation gave a nuanced response to my concerns about the relative scalability and promised to discuss the relationship to the actionsin architecture in the final version ... | after reading the reviews and rebuttal and looking over the paper i feel that the results are indeed strong and the paper could have an impact in terms of exploiting the relationship among action dimensions maybe the only detail that i would add is that going through the example given in fig 1 completely could be usefu... |
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