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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of stochastic convex optimization with linear constraints they proposed the socalled loopless projected stochastic approximation lpsa that randomly performs or skip the proje... | all the reviewers agreed that the paper is novel interesting and the results are mathematically rigorous some of the concerns have been aptly addressed by the authors during the rebuttal period i congratulate the authors for the nice work and recommend an acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a novel reparameterization framework of the last network layer that takes semantic hierarchy into account specifically the authors assume a predefined hierarchy graph and ... | this paper introduces a method for hierarchical classification with deep networks the idea is interesting and as far as i know novel namely the authors add a regularizer to the last layer in order to enforce a hierarchical structure onto the classifiers the idea of placing spheres with a fixed radius around each classi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper was motivated from an observation the common lack of texture and shape variations on synthetic images often leads the trained models to learning only collapsed and trivial representations without... | the paper raised a natural question why good synthetic images can be not so good at trainingfinetuning models for downstream tasks eg classification and segmentation this problem is named synthetictoreal domain generalization where synreal images are regarded as from the sourcetarget domain and it is of practical impor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduce a benchmark uimnet to evaluate predictive uncertainty estimates for deep image clasifiers the authors provides implements of ten stateoftheart algorithms and six uncertainty measures wit... | this paper introduces an imagenetscale benchmark uimnet for uncertainty estimation of deep image classifiers and evaluates prior works under the proposed benchmark two reviewers suggest reject and one reviewer does acceptance in the discussion period the authors did not provide any response for many concerns of reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new notion of layer sparsity for neural networks that aims at simplifying network architectures and reducing the number of parameters a type of regularizers has been introduced to enco... | reviewers agree that the idea of layer wise regularization is interesting and is in line with many efforts in the optimization realm to specialize in the training procedure and the learning rate to each layer given the depth of some state of the art neural networks efficiency is at stake and the idea brought up in thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the notion of path norm for two layer relu network and derive a generalization bound for a pathnorm regularized estimator under a regression model i apologize for the cursory review as... | i enjoyed reading the paper myself and agree with some of the criticisms raised by the reviewers but not all of them in particular i dont think its a major issues that this work studies an explicit regularization scheme because the state of our understanding of generalization in deep learning is so embarrassingly poor ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a novel method for predicting organic chemical reactions in particular for learning robinsoningolds arrow pushing mechanisms in an endtoend manner organic molecules consist of cov... | the paper presents a graph neural network that represents the movements of electrons during chemical reactions trained from a dataset to predict reactions outcomes the paper is clearly written the comparisons are sensical there are some concerns by reviewer 3 about the experimental results in particular the lack of a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work gives a novel analysis of the excess risk of a random features regression which is solved by sgd the result is relevant in the overparmeterized high dimensional setup the analysis demonstrates the... | while the reviewers showed some disagreement the majority of them considered the paper novel and interesting moreover during the discussion period the authors improved the clarify of the presentation and of the proved results overall the paper makes a good contribution to the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents superquadric pushing dynamics network sqpdnet a learningbased simulator for modeling the interactions between objects represented as superquadrics on a planar surface this work is motiva... | strengths the paper tackles the use of equivariance in learning forward models which the reviewers agree is a very important topic highly relevant to manipulation results show significant improvement compared to baselines the paper is generally clear and well written although occasional variable definitions are mis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is on disentangling the effects of single interventions from jointly applied interventions given observational data and the joint interventions in particular this paper shows that the causal effe... | the authors describe a method to estimate the effect of an intervention on a single variable xj in a setting where data from interventions on multiple variables is available this data is combined with observational data to arrive at an identification formula the procedure relies heavily on a assuming that the noise co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach for objectcentric representation learning for planning to accomplish complex tasks the learned representations are at an abstract level resulting in desirable knowledge transf... | the paper proposes a general framework for learn objectcentric abstractions represented using ppddl a probabilistic planning language the work assumes that objects and their attributes features are identified the key contribution of the paper appears to be proposing to group individual objects into object types bas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a differentiable architecture search approach for splitting a deep network into locallytrained blocks to achieve training speedup the approach achieves better performance than ... | the paper proposes a novel method for greed layerwise training by considering the learning signal from either backprop or from the additional auxiliary losses searching for decoupled neural architecture learns to identify the decoupled blocks by learning the gating parameters similar to gradientbased architecture searc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new take on attention in which a large attention dataset is collected crowdsourced and used to train a nn with a new module in a supervised manner to exploit selfreported human attentio... | this paper presents a largescale annotation of humanderived attention maps for imagenet dataset this annotation can be used for training more accurate and more interpretable attention models deep neural networks for object recognition all reviewers and ac agree that this work is clearly of interest to iclr and that ext... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for synthesizing control barrier functions cbf that avoids action saturation for safe controllers the main contribution is the proposal of a limitaware cbf and the usage of a mi... | the authors propose an interesting work building on the control barrier functions the methods seem to be sound and the experiment in a highdimensional setting the quadrotor one seems to be very convincing the work requires the knowledge of system dynamics while this is a limitation it is a common assumption of a roboti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a linked nmf based clustering to tackle the problem of linked dataset the authors shows that chained nmf provides new way to incorporate information and interpret results in comparison t... | the paper proposes a new approach for linkedview clustering based on chained nonnegative matrix factorization reviewers highlighted that paper proposes a novel and interesting approach to an important problem however reviewers raised also significant concerns regarding clarity of presentation motivation general approac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a representation analysis technique to particularly understand what information is contained in selfsupervised models the authors propose a visualization technique based on conditional d... | this paper proposes a method for visualizing representations of neural networks trained with selfsupervised learning with conditional denoising diffusion probabilistic models by generating multiple images conditioned on a representation one can identify what aspects the representation is and is not sensitive to the pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a gol embedding space represents the direction and distance between objects represent order and metric relations between their ranks by enforcing two geometric constraints 1 the orderrank constraint
and 2 ... | this paper proposes a new approach named geometric order learning gol for rank estimation reviewers found that the idea is novel and the paper is well written the authors have also clearly addressed most questions from reviewers in their responses thus i recommend the acceptance of this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel method for automatically decaying the learning rate when training deep neural networks the core idea relies on the observation that the weight norms often times bounce up during ... | the authors provide an investigation into tuning learning rate schedules the problem is certainly of great practical importance after discussion the reviewers felt the main idea of the paper is worth pursuing but could use significant refinement one reviewer suggests better treatment of the background material clearer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a way to learn from demonstrations with weak or no labels the premise behind this paper is that even when humans provide labels during a demonstration those labels often do not fully des... | the paper considers the problem of learning interpretable lowdimensional representations from highdimensional multimodal input via weak supervision in a learning from demonstration lfd context to mitigate the disparity between the abstractions that humans reason over and the robots lowlevel action and observation space... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to tackle unsupervised domain adaptation by following a classic trend aiming at finding an alignment between source and target domains more specifically the method uses a knotherosenblat... | this paper proposes to address the problem of domain adaption using knotherosenblatt transport withe the method denoted as krda the main idea is to perform density estimation of the different distributions with mixture of gaussians and then estimate a an explicit mapping between the distribution using knotherosenbla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that the semimdp option framework has an mdp equivalence by adding extra dependencies into the master policy the proposed method skillaction architecture trains a skill policy which margina... | this paper proposes the skillaction sa architecture based on the insight that semimdps in the option framework can be posed as an equivalent mdp the paper presents interesting theoretical results and very promising empirical results we thank the reviewers for their revisions which provided more insights into the method... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a retrievalaugmented method for generating code summarization the model encodes the input code based on its graph structure code property graph with a hybrid gnn architecture th... | this paper proposes an interesting method for combining retrievalbased models and graph neural networks for source code summarization finding new ways of bringing in additional context for graphbased models is an important research direction in this space and the paper presents a novel and effective approach the initia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes the relationship between relative quantization errors and fixedpoint formats for zerocentered normal distributions and finds a linear model which fits the best exponent length of the fixe... | this paper proposes an approach for 8bit fixed point training of nns based on a careful analysis of quantization error in fixedpoint methods they present convincing and thorough empirical results in addition to a detailed analysis providing insights about their method reviews for this paper were quite split one reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is addressing several research challenges as a method to generate objects with desired functionalities a method to extract formtofunction mapping a method to operationally support a functionality... | the paper presents a novel problem formulation that of generating 3d object shapes based on their functionality they use a dataset of 3d shapes annotated with functionalities to learn a voxel generative network that conditions on the desired functionality to generate a voxel occupancy grid however the fact that the res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of learning of quasimetrics it first proves that an orthogonal equivariant model cannot learn quasimetrics reliably and then proposes the poisson quasimetric embedding model w... | the reviewers agree that the paper is addressing an interesting problem and provides a valuable contribution for the learning of quasimetrics and would be useful for many real world applications |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework for acquiring an efficient network that essentially consists of an ensemble of networks strength 1 the overall method is easy to follow and understand 2 good performance wit... | the reviews were largely split in the beginning some of the concerns are firmly addressed eg new results evaluating the actual latency in real hardware and one reviewer raised the score from 5 to 6 however another reviewer is not fully convinced by the response and decided to keep the original score of 3 clear rejecti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to obtain an isotropic word embedding space the authors proposed a new transformerbased autoencoder in which each word is represented as a normal distribution and a variational loss is used to make it close... | this paper develops a variational auto transformer model vat a vae based on the transformer encoderdecoder architecture designed to provide isotropic representations by adding a tokenlevel loss for isotropy all the reviewers agree that this is a novel architecture with a valid and interesting goal behind it reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the variance of the ddpg algorithm on continuous control tasks they identify that the variance in rewards arises in part due to the failure of some runs to learn they argue that the failur... | the reviewers unanimously appreciated the quality of the experiments the main point raised was about the related work by wang et al but that was addressed by the authors in the rebuttal i thus encourage the authors to make sure that discussion is reflected in the final version of their work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed search data structure learning sdsl which they claim to be a generalization of the standard search data structure they also present a new metric called sequential search w... | this paper addresses an interesting problem and all reviewers agree most reviewers found the paper difficult to understand and it was hard to see the novel contributions the paper will need a significant revision before publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use a bessel basis and a postprocessing neural network for modeling the optical transmission through a multimode optical fiber the key idea is that multimode fiber outputs are bandlim... | this paper proposes a new learningbased technique for imaging through multimodal fibers mmf a key idea of this work is to exploit the property that the transmission matrices associated with mmfs are approximately diagonalizable by bessel basis this idea then allows one to significantly reduce the number of parameters w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
2d animation data are expensive to collect since they have different characteristics with 3d animations simply projecting 3d animations to 2d are not sufficient so that the author proposes a novel approach... | this paper presents a rich dataset aimed at creating supervision for 2d cartoon tasks the dataset is created by procedurally converting open source 3d computer graphics moviesshorts into flattened 2d frames care is taken in describing both the motivation and limitations of this approach in an area with a dearth of good... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper formulates a method for active reward learning from user feedback where the agents goal is to learn the task reward function while also having control over what type of feedback to query from the... | summary in this paper we propose a method for estimating which robot is the target of human attention in a situation where a multiagent robot and a human are interacting by using the information quantity transfer entropy the proposed method enables active estimation replacing conventional methods for eye detection st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a new simple yet powerful and alternative method of editing the semantic attributes of images generated using pretrained gan models as well as a pretrained regressors the approac... | all the reviewers rate the paper above the bar they like the experiment results and think the proposed latent space editing approach makes intuitive sense while several weakness points were raised including a lack of continuous editing comparison and sometimes vague descriptions they were not considered major to reject... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies optimization of a general class of sdps having a linear objective and general linear constraints using the nonconvex burermonteiro method it is known that for the bm formulation in dimens... | this paper gives polynomial time smoothed analysis guarantees for the burermonteiro method the result is new and interesting prior works fall short of this goal for various reasons boumal et al which started this line of work gives nonrobust generic guarantees while bhojanapalli et al look at a penalized version thats ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper authors proposed to utilize the global statistics in local client updates to mitigate the client drift problem the algorithm mine and minelite are very interesting and look reasonable to me the... | the submission introduces a theoreticallyjustified solution to clientdrift in federated learning generally the reviewers agreed that this could be a strong paper and several of their minor concerns have been addressed in the rebuttal unfortunately a major issue raised during the discussion was the correctness of lemma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first analysis the difficulty of going deeper using transformer models the challenge is that the mechanism of selfattention is applying a lowpass filter keep stacking selfattention layers will l... | the paper analyses the frequency filtering properties of selfattention in vision architectures shows that it mainly acts as a lowpass filter and proposes fixes that allow to better preserve the higher frequencies these fixes yield moderate classification accuracy gains 051 for several existing attentionbased architectu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a framework to learn depth prediction and semantic segmantation jointly the key idea lies in making use of the pseudo depth label from stereo to provide supervision and as a means to enfo... | all reviewers agree that the paper overclaims its contributions both in the main text and in the title and given also the limited novelty and scope it is not suggested for publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary given an inverse problem we want to infer x st ax y but in situations where the number of observations are very sparse and do not enable direct inversion the paper tackles scenarios where x is of t... | this paper proposes a novel method of solving inverse problems that avoids direct inversion by first reconstructing various piecewiseconstant projections of the unknown image using a different cnn to learn each and then combining them via optimization to solve the final inversion two of the reviewers requested more ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a frequencybased understanding of adversarial examples in deep neural networks the main observation is that the adversarial examples are neither in highfrequency or lowfrequency componen... | the paper investigates adversarial examples in deep neural networks from a frequencybased perspective their main conclusion is that adversarial examples are neither in high or lowfrequency components but instead depend on data the topic is clearly important and the paper is overall clearly written and makes some intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to extend semisupervised learning techniques to address domain adaptation problems and proposes a unified method adamatch that can handle unsupervised domain adaptation uda semisupervise... | thanks for your submission to iclr this paper presents a novel way to combine domain adaptation with semisupervised learning the reviewers were on the whole quite happy with the paper on the positive side the results are very extensive and impressive its a clever way to combine domain adaptation and semisupervised l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose dynamicdeephit a survival analysis framework for modeling longitudinal data with multiple competing risks as opposed to previous works dynamicdeephit can model survival events eg... | while there was disagreement on this paper reviewers remained unconvinced about the scalability and novelty of the presented work while it was universally agreed that many positive points exist in this paper it is not yet ready for publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper under review is working on an important question could vision transformers vits outperform cnns on medical imaging when performing tasks such as classification detection and segmentation the autho... | i recommend a rejection of this paper my overall impression is that this is genuinely an interesting topic and this a good basis for a solid paper however as pointed by several reviewers there are multiple unanswered questions due to a very large scope of this work it might be that a format of a conference paper is no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the behaviour of training sdebased scorematching generative models for time t close to 0 the paper identifies two issues with existing forward sdes for training such models 1 the score of... | this paper analyzes the behavior of score function as t rightarrow 0 and proposes simple approaches to mitigate issues around estimating an unbounded data score the reviewers have acknowledged the importance of the problem and its relevance to current efforts on denoising diffusion models however they have also raised ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
thank the authors for addressing reviewers comments extensively after rebuttal i agree with the significance of the proposed method in terms of performance improvement in this particular task however the te... | the paper initially received a mixed rating with two reviewers rate the paper below the bar and two above the bar the raised concerns include the need for an autoregressive model for upsampling and the effect of batch sizes these concerns were welladdressed in the rebuttal both of the reviewers that originally rated th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel dataset of depth maps and stereo images called surdis it exemplifies the issue of surface discontinuity in the urban areas of klang valley malaysia the dataset contains 1 mor... | all reviewers recommend that the paper be accepted the ac sees no basis to overturn reviews and recommends that the paper by accepted the authors should attend to main points in the reviews when preparing the papers final version this includes reviewer s4aes suggestions about addressing diversity and balance and review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the novelty of the paper seems to be in application of the counterfactual analysis to address the longtailed ie issues which might be interesting to the ie researchers overall more theory about the counterf... | this paper introduces an architecture based on structured causal model for longtailed ie tasks it incorporates the dependency tree structure of the sentence using a gcn for learning the representations the key idea is to use counterfactual reasoning to help with the inference in attempt to reduce the impact of spurious... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a novel architecture for video prediction consisting of a feedforward path with sparse convolutions and an lstm generating predictions of chunks of video based on the sequence of ... | there was major disagreement between reviewers on this paper two reviewers recommend acceptance and one firm rejection the initial version of the manuscript was of poor quality in terms of exposition as noted by all reviewers however the authors responded carefully and thoroughly to reviewer comments and major clarity ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the present paper considers the challenging policy learning problem of latent multiarmed bandits the setting as follows there are m latent contexts and corresponding to each latent context there is a distri... | all the reviewers found the problem solved to be challenging at least mathematically interesting and most reviewers found the problem itself to merit study and the authors algorithmic approach to be elegant and novel one reviewer has doubts about the practical applicabilityrelevance of the latent mab lmab model all thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors proposes a new algorithm for improving the stability of class importance weighting estimation procedure lipton et al 2018 with a twostep procedure the reparamaterization of w using the weight shift ... | the paper gives a novel algorithm for transfer learning with label distribution shift with provably guarantees as the reviewers pointed out the pros include 1 a solid and motivated algorithm for a understudied problem 2 the algorithm is implemented empirically and gives good performance the drawback includes incomplete... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
weaknesses 1the authors claim that compared to other dynamic reparameterization methods that reallocate nonzero parameters during training our approach broke free from a few key limitations and achieved mu... | the authors presents a technique for training neural networks through dynamic sparse reparameterization the work builds on previous work notably set mocanu et al 18 but the authors propose to use an adaptive threshold for and a heuristic for determining how to reparameterize weights across layers the reviewers raised... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a set of techniques called fast attention via positive orthogonal random features favor to approximate softmax self attention in transformers and achieve better space and time complexity... | this is a solid paper that proposes a new method for approximating softmax attention in transformer architectures that scales linearly with the size of the sequence even though linear architectures have been proposed before using a similar idea katharopoulos et al 2020 this paper provides a better solution along with t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper highlights the fact that when doing unstructured pruning with extreme sparsity targets we end up pruning entire neurons which effectively detaches neurons from the inputoutput the authors argue t... | summary this work investigates effective sparsity an assessment of the sparsity of pruned networks that accounts for the fact that unpruned neurons can still be completely disconnected through pruning hence the effective sparsity of a network may be much lower than otherwise reported discussion strengths the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this manuscript authors proposed a novel 3daware generative model for photorealistic high resolution image synthesis the proposed method combines neural radiance fields nerf and stylegan and tackles the ... | an interesting paper on combining nerfs with stylegan to get highquality and highresolution 3d aware generative models the results are very good visually and also allow interactive speeds the technique is natural and concurrent papers are proposing variations the reviewers identified a few limitations including that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper a method for pose estimation is proposed which is based on the well known neural model stacked hourglass networks the novelty in the proposed paper is a multiscale formulation which creates mu... | the paper presents a multiscale extension of the hourglass network as the reviewers point out the paper is below iclr publication standard due to low novelty ie multiscale extension is not a new idea and significance ie not a significant performance gain against the stateoftheart method or other baselines |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests a new way of sampling minibatches for training deep neural nets the idea is to first index the samples then select the batches during training in a sequential way the proposed method is t... | this paper proposes a new batching strategy for training deep nets the idea is to have the properties of sampling with replacement while reducing the chance of not touching an example in a given epoch experimental results show that this can improve performance on one of the tasks considered however the reviewers consis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the sample size of observational and experimental data needed to estimate the probability of causation given a specified confidence interval the authors derive the number of adequate sampl... | this paper considers the upper and lower bounds of the probability of necessity and sufficiency pns derived by tian and pearl the authors propose to compute cis for the estimation of the upper and lower bounds in order to use them to decide on how large the sample size needs to be to achieve a certain ci size as the au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a loss function for unsupervised representation learning it has two terms an instance classification loss and a consistency loss the novel part seems to be the consistency loss it explici... | this paper introduces a consistency loss for instance discrimination by adding a term to maximize the squared dot product between two views of the same image the impact of the proposed approach is evaluated on a variety of settings with mixed improvements while reviewers generally found the proposed method to be intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 introduces a new multi headed architecture for explicitly incorporating class hierarchy into training 2 created a new metric to measure the impact of a missprediction according to class hierarchy tree dis... | the paper studies subpopulation shift in object recognition when classes obey a hierarchy it proposes an architecture a relevant metric and a dataset subset of imagenet the problem of classification in hierarchical label spaces is important and of great interest and the effect on domain shift is interesting naturally ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an environment called honor of kings arena which is derived from the popular mobile game honor of kings the environment can be used for evaluating the generalization ability of agents i... | this paper introduces a novel rl benchmark based on the popular computer game honor of kings arena there are two modes of evaluation one is a single agent task of beating the computer ai and the second one is a competitive setting two player zerosum the game offers interesting challenges from a generalisation and tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose three modifications to dropout specifically in context of dropout applied to deep networks utilizing the relu nonlinearity the three modifications seem independently motivated and aim to ov... | the paper introduces a new variant of the dropout method the reviewers agree that the procedure is clear however motivations behind the method are heuristic and have to lean much on empirical evidence a strong motivation behind the procedure is lacking and the motivation behind the method is unclear furthermore the emp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for endtoend learning for retrieving topk items in recommendation system setup this is achieved by learning the hidden representations of the items and under neural network as a ... | the introduced method is novel and interesting however as pointed in the reviews the paper misses several important references the authors should extend their discussion on related work by methods from both recommender systems and extreme classification besides the papers listed by the reviewers the introduced method s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new physics engine for regid body simulation that 1 is differentiable 2 can run environment simulation and rl algorithm optimization on the same accelerator core without data marshelli... | the paper presents a differentiable physics engine in implemented in jax that can take advantage of modern hardware accelerators all reviewers saw the benefit of the proposed physics engine and agreed that it would be very useful to practitioners initial reviews raised some concerns about the paper most importantly tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper conducts a systematic and thorough analysis of a longcriticized problem of current knowledge base completion kbc research its evaluation setup it discovers several major issues of the popular ra... | this paper points issues with evaluation of knowledge base completion proposes triple classification as an evaluation method and introduces a new dataset to help with this in this sense the paper is essentially an analysis paper that focuses on the evaluation aspects of the problem all the reviewers appreciate the ana... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops an empirical process theory for irreducible reversible markov chains with applications to statistical learning theory for non iid sampling it adopts an ambitious and historically faithfu... | the reviewers support acceptance of the manuscript based on the quality of the results but have expressed concerns about the organisation of the results which appear to be a result of the page length limits imposed on neurips submissions there reviewers would welcome publication if these organisational issues were res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method called temporal abstract latent dynamics tald tald is built up on rssm hafner et al 2019 but with hierarchical dynamics the experiments are conducted on moving mnist gqn 3d maze... | the paper studies the properties and advantages of temporal abstraction in hierarchical latent variablebased video prediction approaches producing interesting results on various simulated environments and the kth action dataset the two key drawbacks of this paper are limited visual complexity of datasets used for eva... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a control variate scheme for reinforcetype estimators based on the stein operators for discrete distributions discrete stein operators generate zeromean functions under the discrete sa... | thanks to the authors for this submission the reviewers all agreed that this is a novel and effective method for reducing gradient estimates in a discrete setting the reviewerauthor discussion was fruitful and changes to the manuscript have improved the submission |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript proposed a framework for flowbased unsupervised datasetdistribution alignment where a variational objective was derived and is shown to upper bound the jsd based on the analysis the authors ... | this paper addresses the problem of the alignment of multiple distributions the authors propose a new method for distribution alignment based on invertible flow models and a new training objective that gives an upper bound on the generalized jensenshannon divergence gjsd between the distributions the authors derive a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors suggest the use of multiparameter persistence for explicitly capturing he latent time dependencies in spatiotemporal data they propose the timeaware multipersistence spatiosupra graph convolu... | the authors introduce the timeaware multiperistence spatiosupra graph cn that uses multiparameter persistence to capture the latent time dependencies in spatiotemporal data this is a novel and experimentally wellsupported work the novelty is achieved by combining research in topological analysis multipersistence and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel adversarial attack for spatiotemporal traffic forecasting models moreover theoretically analysis are conducted to demonstrate the worst performance bound of the attack comprehens... | the authors have made a significant effort to address reviewer concerns in their rebuttal they are strongly encouraged to include these additional results and observations to either the main body of the paper or the supplement |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a variant sredaboost of the variance reduction method sedra for solving nonconvexstronglyconcave minmax problem the first contribution of the paper is to relax the conditions on the initi... | the paper introduces a new variant sredaboost of a variancereduced method sedra for nonconvexstronglyconcave minmax optimization given that sedra is already optimal in the worst case the proposed modification is intended to improve practical performance of the method by relaxing conditions needed at initialization and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper combines robust control theory with nns to obtain robustness guarantees the paper shows stable behavior on adversarial dynamic models on many different simulated tasks the papers main idea revolve... | while the reviewers seem to like the main idea of the work they had several concerns particularly regarding the experiments both their setup and description and the overall language of the paper that they found it more suitable for the control community than the ml and representation learning community the authors prov... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses how to learn a constant feature that can be concatenated to a frozen pretrained embedding to promote statistical group fairness in a downstream classifier these extra features called th... | overall the reviews are more or less positive towards weak accept while there are some remaining concerns eg a wording in the abstract i think many of the raised concerns are addressed properly and some of them are checked hence i believe this paper is worth being published |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes methods to further reduce energy consumption of binary neural networks by removing or replacing 32bit components eg skip connections in sota bnns more specifically the proposed architect... | description the authors note that the most recent and successful in terms of accuracy binary networks are in fact combining binary and floatingpoint computations in particular have residual fullprecision paths with their parameters that connect all the way to the output although such paths are made lightweight they ca... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a generative model to synthesize videos using vqvaes the scheme works in latent space by using embeddings for video sequences learnt by the vqvae for inference an autoregressive transfor... | the paper focuses on the problem of high quality video generation it approaches the problem by extending vqvae to videos where a gpt is used to model the low dimensional representation of the vae as agreed upon by the authors and the reviewers the proposed method is simple and produces interesting results based on al... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of paper the motivation for the paper is a bit unclear in the introduction the authors begin by claiming to extend selfsupervision to information from a set of evolutionarily related sequences ho... | this is a creative piece of work wherein learning of what is normally familyspecific potts models is turned into an amortized optimization problem across different families of proteins the potts models are learned with a pseudolikelihood approach and the evaluation of the model against baselines is performed only on a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper contributes the design and evaluation of swipering a novel circular keyboard designed to enable gesture typing on a smartwatch using a statistical decoder the design uses a clever technique where... | this paper received three reviews from reviewers who are all fairly confident about their assessment and rate this paper as a strong accept within the top 15 of accepted papers all of the reviewers agree that the paper is wellwritten and presents an interesting and compelling novel design for improving text entry on sm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a model collaboration scheme to tackle the insufficient model capacity against adversarial examples instead of model ensemble through replacing votingbased strategy with selecting the b... | this paper proposes an ensembletype solution for improving the adversarial robustness of a model the proposed idea is simple yet novel with theoretical supports the authors did a good job clarifying reviewers concerns and all reviewers finally recommend acceptance ac also thinks that this is a good paper in various asp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i really enjoyed reading the paper the exposition is clear with interesting observations and most importantly the authors walk the extra mile in doing a theoretical analysis of the observed phenomena quest... | this paper makes the intriguing observation that a density model trained on cifar10 has higher likelihood on svhn than cifar10 ie it assigns higher probability to inputs that are out of the training distribution this phenomenon is also shown to occur for several other dataset pairs this finding is surprising and intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced an active learning mechanism on top of robust policy search in rl for better sampling efficiency the authors proposed effacts active learning framework and combined it with policy sear... | the paper addresses sampleefficient robust policy search borrowing ideas from active learning the reviews raised important concerns regarding 1 the complexity of the proposed technique which combines many separate pieces and 2 the significance of experimental results the empirical setup adopted is not standard in rl an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a pacbayesian framework that bounds the generalization error of the learned model while pacbayesian bounds have been studied before the focus of this paper is to study how different cond... | existing pac bayes analysis gives generalization bounds for stochastic networksclassifiers this paper develops a new approach to obtain generalization bounds for the original network by generalizing noise resilience property from training data to test data all reviewers agree that the techniques developed in the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focus on addressing the problem of high reward uncertainty in multiagent reinforcement learning marl to address this problem this paper proposes a new distributional reward estimation dre framewo... | the reviewers carefully analyzed this work and agreed that the topics investigated in this paper are important and relevant to the field they believe that the neurips community could benefit from the ideas and techniques presented in this work they argued eg that the paper is novel and interesting technically sound cle... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an exploratory study of the effects of performing representation learning based on a generative model trained on data as opposed to the data itself it is very well written and coherently laid out an... | all of the reviewers appreciate the clarity of exposition and the importance of the problem studied that said i agree with reviewer p9ys that the results are somewhat underwhelming the baselines appear weak and are likely not well tuned on the stanford car dataset key question that remains unanswered in my opinion is w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
metarl is an important direction to apply rl to realworld applications which require an ability to adapt to new tasksenvironments this paper tackles metarl using hypernetworks that produces the parameters o... | strengths novel research direction good empirical results in simulation for some tasks weaknesses some important parts of the method are not clear eg how is task id inferred by the network only baseline is varibad which is not sota on some of the tasks no comparison of the proposed initialization in supervised l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the transfer interference perspective of lifelong learning is well motivated and combining the metalearning literature with the continual learning literature applying reptile twice even if seems obvious was... | pros novel method for continual learning clear well written good results no need for identified tasks detailed rebuttal new results in revision cons experiments could be on more realisticchallenging domains 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:
this paper focuses on decentralized local stochastic extragradient for variational inequalities this paper uses extragradient as the main tool to solve saddle point problems which satisfy variational inequa... | the paper studies decentralized local stochastic extragradient for variational inequalities an extragradient method is developed for this problem theoretical results are established and complemented by simulations while there were some concerns about the novelty of the work in the initial review the authors adequately ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the semisupervised learning problem under the setting of imbalanced label data by extending fixmatch with a classaware method to reweight the loss and an adaptive thresholding method to ... | addressed semisupervised learning with the mnar setting well written paper several additional experiments were reported in response to the reviewer questions general agreement amongst reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a projection system to help unexperienced people to draw latte art on a cappuccino there is a user study comparing participants performance with the system and with watching explanatory ... | all of the reviewers found that the paper explores an interesting topic latte art although there are details about the study participants scaling of the system and system design choices that should be added to improve clarity it would be beneficial for the authors to include such details and make the explanation of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce prospect a database for proteomics research based on a massive collection of lcmsms datasets already available from the proteometools project the paper is well written and the package ... | reviews were split reviewers agreed on the importance of the domain but differed in how they valued the contribution over proteometools which the dataset builds upon a primary concern was lack of baselinesbenchmarking the rebuttal argues that baselines would not add much value since strong methods have been published i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a theoretical study of the successful deep qnetworks dqn framework under an online episodic markov decision process mdp model with t episodes they focus on besov and barron function spac... | this paper provides a theoretical study of the successful deep qnetworks framework under an online episodic markov decision process mdp model with t episodes all reviewers and the ac believe this is a solid rl theory paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors present a conditional languagespecific routing clsr scheme for transformerbased multilingual nmt systems they introduce a clsr layer after every transformer encoder and decoder laye... | this paper proposes a conditional languagespecific routing clsr mechanism for multilingual nmt which also considers the tradeoff between language specificity and generality all of the reviewers think this paper is interesting for both idea and empirical findings therefore it is a clear acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present recross a retrieval augmentation method to improve crosstask generalization of seq2seq models starting with a t5like model upstream model trained on a diverse set of tasks in seq2seq for... | this paper presents an approach called recross that improves zeroshot task performance by retrieving and finetuning on examples of similar supervised tasks this method is shown to help multitask finetuned models when evaluated zeroshot on novel tasks the interesting finding of the paper is that finetuning on relevant ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how the preprocessed data can be reused as auxiliary tasks in primary multitask learning mtl for the multimodal emotion detection task the authors propose and test three hypotheses for pr... | the initial reviews for this paper were very borderline the authors provided detailed responses as well as a few additional results and observations the authors responses answered the reviewers questions and addressed their main comments including in the discussion of related works as well as with more indepth analysis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the lack of shift invariance in stateoftheart neural networks namely the paper introduces results that show that stateoftheart deep neural networks are affected by 1pixel shifts because t... | this paper attempts to answer its suggestive title by arguing that this generic lack of invariance in large cnn architectures is due to aliasing introduced during the downsampling stages this paper received mixed reviews positive aspects include the clarity and exhaustive empirical setups whereas negative aspects focu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors argue that uniform priors for the highlevel latent representations improve transferability which is beneficial in a number of tasks involving transference the approach is evaluated on deep metri... | the authors argue that uniform priors for the highlevel latent representations improve transferability which is beneficial in a number of tasks involving transference the approach is evaluated on deep metric learning zeroshot domain adaptation and fewshot metalearning pro a simple yet effective method signifiant gai... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a trainingfree robust multimodal learning latefusion methods via samplewise jacobian regularization the key idea of the work is to minimize the frobenius norm of a jacobian matrix so that... | three experts reviewed the paper and gave mixed reviews reviewer bbzl raised their score to 6 in the discussion phase reviewer dv5k was not fully convinced by the rebuttal and remained negative reviewer ourr also remained negative the reviewers were not excited by the proposed method in general and raised questions abo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
trained and release highquality agents that can track over three hours of mocap data for a simulated humanoid in the dmcontrol physicsbased environment release mocapact a dataset of these expert agents an... | in this paper the authors propose a multitask dataset for simulated humanoid control reviewers had concerns about the scale of this benchmark and its significance many of which are addressed during the author response periods we encourage the authors to further address the remaining feedback especially those from eawt ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a post hoc method for ood detection in classification models the key to the proposed approach is to determine the typical feature set from the data and the trained neural network and use ... | this paper received unanimous recommendations of acceptance concerns were expressed regarding the similarity between the proposed method and react but the concerns were addressed by the authors the ac agrees with the reviewer regarding the contribution of this paper and recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach towards multiagent reinforcement learning marl in the context of centralized training with decentralized execution ctde this paper considers the individual global max igm pri... | the majority of reviewers recommend acceptance for this paper and the average score is in the acceptance rate only one reviewer reviewer 2 recommend rejection and from the reading the review the authors answer and the paper i think it is possible that the reviewer missed the motivation behind this architecture which is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a reimplementation of dqn that improves training speed with lower hardware requirements showing a decrease of running a single atari experiment from 25 hours to 9 hours on a specific sys... | this paper introduces a variant of dqn optimized for desktop environments to make large scale experiments more feasible for anyone this paper was close the reviewers appreciated the effort and motivation but in the end the reviewers all seemed to think that the paper was not ready the main contribution is framed as ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a transformerbased architecture for joint localization and classification of 8 different conditions of the chest xray images in nih dataset the main contribution of this paper is utilizat... | this paper is on the right track to be accepted after a revision but it is not ready yet the reviewers were mostly puzzled by different details in the evaluation process however as far i can see most of them should be possible to address my impression is also that the authors might be more used to a slightly different ... |
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