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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
positive points dynamically controlling the beta parameter of beta vae is an interesting idea negative points 1 the authors do not put their work into the context of the closely related information bot... | the paper is in general well written and easy to follow and the considered approach of controlling beta is sensible however all reviewers identify shortcomings in the empirical analysis of the proposed method missing comparison with stronger baselines convergence issues of the considered baselines considered datasets e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a neural mesh renderer that operates on a feature level for 3d object pose estimation the optimization surface of the loss between the render for a set of pose parameters with the actua... | this paper received 4 reviews with mixed initial ratings 4567 the main concerns of r2 and r4 who gave unfavorable scores included lack of clarity around design choices and inconclusiveness of some of the experiments in response to that the authors submitted a new revision with a summary of changes and provided detailed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new gan procedure its maybe easier to reverseengineer it from the simplest of all places that is p16 in the appendix which makes explicit the difference between this gan and the origin... | both r3 and r1 argue for rejection while r2 argues for a weak accept given that we have to reject borderline paper the ac concludes with revise and resubmit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on designing pac meta rl algorithms while prior works took a modelfree approach of learning regularized history conditioned policies this work first estimates the underlying task distribut... | the paper provides a theoretical pac analysis of metalearning when the task distribution is directly learned under the assumption that the task distribution can be approximated in a lowdimensional space this approach leads to improved bounds wrt to previous literature the authors further illustrate how the lessons lear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper improves existing drlbased co methods in two terms firstly the authors leverage a continuous probabilistic space for the solutions leading to a reinforcementbased training method which is more ef... | this paper proposes a differentiable metasolver applicable to largescale combinatorial optimization after a thorough discussion phase all the reviewers are on the positive side of this paper the reviewers appreciated the novelty of this paper and the importance of scaling neural combinatorial optimization for largescal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
many realworld machine learning applications encounter both labeled and unlabeled data in such problems there may be a scarcity of highquality labeled data while large amounts of unlabeled or partially lab... | this paper extends graphbased semisupervised learning to decision tree classifiers where the optimization gets much more challenging the proposed solution reformulates the problem with a new auxiliary variable which leads naturally to an iterative solution of alternating between 1 supervised learning on trees and 2 la... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a userguided training for cnn to focus more on casual features which are based on human perspective and termed as casually focused convolutional neural network human guidance is used to ... | although this paper is on an interesting topic there is a consensus that this paper is below the bar for acceptance my advice is to take take criticisms of the reviewers seriously add the extra experiments rewrite the paper and then submit it to a different conference if the authors feel that the reviewers misunderstoo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose uwilds which extends the wilds benchmark typically used for domain generalization or subpopulation shift to the unsupervised domain adaptation scenario they select eight datasets from wi... | this paper presents uwilds an extension of the multitask largescale domainshift dataset wilds the authors propose an extensive array of experiments evaluating the ability of a wide variety of algorithms to leverage the unlabelled data to address domainshift problems the vision behind sounds quite ambitious and convinci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has two contributions first it argues for the need to benchmark multiobjective problems using analytic functions for convex and nonconvex conditions second it presents a twostage method for find... | the paper makes two contributions 1 multitask benchmarks where the pareto solution is known analytically and 2 a verification method for testing if solutions are on the pareto front the authors make the point that mtl methods are applied to largescale problems but fail to find the pareto front in problems where it is k... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends the neuralcages work to nerf to enable the deformation of implicit fields given a nerf it first extracts surface points and then optimizes a template cage to enclose the points by penalizi... | all reviewers consider the central idea of the paper to be novel and interesting and that deformable nerfs are a valuable research area all reviewers agree that the initial paper was poorly presented and that the revised version is considerably improved while accepting the authors rebuttal regarding the lack of suita... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes the occgen toolkit which extracts genderbalanced multilingual parallel data and evaluates three multilingual models in highresource and lowresource genderbalanced datasets the proposed ... | this paper describes a toolkit for building multilingual datasets that are balanced across preselected gender categories in occupations drawing from source datasets such as wikipedia the toolkit performs data collection aligns data and balances data in a customizable way case studies are performed on a machine translat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to generate adversarial examples for selfdriving car it has two fold contributions first the paper analyzes the sensitivity of a learning algorithm wrt different image transformation in a rea... | this metareview is written after considering the reviews the authors responses the discussion and the paper itself the paper has 2 main contributions 1 analysis of the sensitivity of a deep network predicting steering angle from images wrt different synthetic image perturbations 2 a training method based on adaptively... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview this paper presents a method for identifying users epistemic knowledge of a model without requiring a priori specification ie its adaptive this approach is in the realm of model reconciliation but ... | thanks very much for submitting your paper summary this paper proposes an endtoend adaptive explanation generation system that learns the different types of users that the agent could interact with and adjust its explanations accordingly strengths clear motivation and interesting perspective broad evaluation with ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strength the eventbased tracking idea is good the method achieved sota on the standard benchmarks the presentation is not clear i can hardly understand the formulas see comments for detail the paper has ... | meta review this paper introduces an endtoend online multiobject tracking methodology it receives three reviews with two weak accepts and one reject the reviewers believe the proposed approach is novel with convincing experimental results the main concerns include unclear presentation missing details and failure to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
graph and subgraph edit distance ged and sed are important mechanisms to measure the distance between graph pairs however it is nphard and thus hard for scalability this paper proposes a framework based on ... | the paper studies an important problem of computing distance functions across graphs which is nphard to solve in the worst case the author provide a theoretical analysis of certain properties of the algorithm and show its relevance in practice the reviewers pointed out some weakness but the rebuttal helped resolve some... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i am posting here my review from before the revision of the paper by the authors all my concerns have been addressed in that revision this paper studies how interesting negative statements can be identif... | this paper explores a new direction in knowledge base construction how to identify interesting negative statements for kbs towards this general goal two approaches have been developed peerbased statistical inference and patternbased text extraction two datasets of negative knowledge bases are provided along with an ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies generalization capability of deep neural networks by the eigensystem of neural tangent kernel ntk the findings of this paper include 1 target functions corresponding to fewer leading eige... | summary study generalization in kernel regression discussing the ntk case and experiments on finite width nets strengths mix of theoretical and empirical results in an important topic advances a promising recent line of work weaknesses concerns about novelty and lack of comparison with existing works concer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper purports to be about hybrid vehicle fuel optimization using rl in reality most of the content seems to be a long derivation of a continuousspace generic rl based controller for a trajectory optim... | this paper proposes to solve the fuel optimization problem in hybrid electric vehicles using reinforcement learning the work is interesting but the reviewers consider it lacks novelty and it has different concerns on the assumptions of the modeling the paper is quite difficult to follow |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an interesting paper that seeks to provide new noncyclic constraint formulations for dag learning the key novelty here is the employment of finite geometric series dag constraint to escape from grad... | during the initial review phase the reviewers were mostly positive in their opinions of the manuscript noting that it is wellwritten novel and solves an important problem however the reviewers noted a few perceived flaws and technical weaknesses in this manuscript as well fortunately these issues appear to have been po... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a largescale metadataset that consists of 30 datasets from 10 domains extensive competition and challenges have been organized on the benchmark currently it focuses on fewshot classificat... | the reviewers were unanimous in recommending acceptance for this paper multiple reviewers commented on the datasetcompetition being well organized and the experimental baselines provided in the paper were generally appreciated there were some suggestions of expanding the baselines in the paper or further diversifying t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the labour inspection checklists dataset consists of 63634 instances where each instance is an inspection conducted by the norwegian labour inspection authority 575 features are provid... | the paper proposes a dataset on labor inspections where a set of curated features are used to predict inspection checklists and violations the perspective is unique and fresh to the machine learning community and the underlying goal of safe working environment is relevant to everyone the reviewers mostly agree with thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper identifies structure determination of novel natural products as a bottleneck in the drug discovery pipeline the authors address this problem by using deep siamese neural networks to learn an repr... | the reviewers highlighted that the application in the paper is interesting but note a lack of new methodology and also highlight serious flaws in the testing methodology specifically the reviewers are discouraged by the straightforward reuse of siamese networks without clear modifications further the testing setup migh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to address the visual active tracking problem in which the tracker is automatically adjusted to follow the target a training mechanism in which tracker and the target serve as mutual opponent... | the paper presents an adversarial learning framework for active visual tracking a tracking setup where the tracker has camera control in order to follow a target object the paper builds upon luo et al 2018 and proposes jointly learning tracker and target policies as opposed to tracker policy alone this automatically c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper examines an audiovisual approach for dereverberation where dereverberation of speech is conditioned on rgb and depth images either fieldofview or panoramic it proposes a dataset for this task bas... | this paper investigates the dereverberation problem from the audiovisual perspective the geometry of the environment is represented by rgb and depth images the authors propose a socalled visuallyinformed dereverberation of audio vida model and also create a dataset consisting of both synthetic and real data to verify... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to understand and establish based on empirical evidence if and why treebased models tend to perform better than neural networks on tabular data existing work has indicated that this is the c... | the paper proposes a benchmark comparing modern neural network architectures with gradient boosting overall the paper was reviewed quite positively with an average score of 633 most criticism by the reviewers was addressed by the authors major remaining issues are 1 while the results of bo vs random search indicate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a sketching method for tensor network tn structured input data unlike previous methods mainly focusing on specific tn structures of the input data this paper considers more general stru... | summary the major strength is that the sketch size is polynomial in the number of modes for tensor train this was not known in previous work for example in the paper by rakhshan and rabusseau httpsarxivorgabs200305101 which is reference 38 and gets a sketch size which is exponential in the number of modes there is co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents methods for 1 adding inductive bias to a classifier through coarsetofine prediction along a class hierarchy and 2 learning a memorybased knn classifier through an intuitive procedure tha... | the reviewers raised a number of concerns including low readability clarity of the presented work and methodology insufficient and at times unconvincing experimental evaluation of the proposed and lack of discussion on pros and cons of the presented the authors rebuttal addressed some of the reviewers comments but fail... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the key idea proposed in this paper is to use generative replay as negative samples to improve performance in classincremental scenarios of continual learning the authors argue that samples from a generativ... | this paper suggests a new technique to utilize generative replay for continual learning specifically the authors claim that even though the generated samples are imperfect thus cannot be used as positive samples for old classes they can still be used as negative samples for the current class 3 reviewers are negative an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of this paper propose a platform safebench for the safety evaluation of avs they claim this platform is the first of its kind testing 8 different safety critical scenarios additionally different... | the paper addresses a muchneeded benchmark for the safety of autonomous driving all reviewers recognize the significance of the papers contributions most of the questions have been addressed satisfactorily by the rebuttal overall all reviewers are positive about the paper and recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shared some interesting observations about gradient values and correlations and utilized these findings in the context of neural architecture search to improve the search efficiency to be specifi... | this paper proposes a new criterion for neural architecture search that does not require the expensive step of training the model the reviewers found the proposed approach of relying on gradient statistics promising however the reviewers found that the clarity of the paper needs to be improved and that the empirical ev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of adversarial overfitting that is a critical breakdown of robust accuracy that commonly happens in adversarial training and makes early stopping a necessity for at they give a... | this paper introduces a new insight on the relationships between noisy labels and adversarial training all reviewers agree the contriubtions of this paper in terms of interesting observation novel perspectives theoreticalpractical anlaysis and promising experimental results and gave all acceptance scores ac also agr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a hierarchical generative model for generating long text the authors use a hierarchical lstm decoder to first generate sentencelevel representations then based on the representation of e... | strengths interesting work on using latent variables for generating long text sequences the paper shows convincing results on perplexity ngram based and human qualitative evaluation weaknesses more extensive comparisons with hierarchical vaes and the approach in serban et al in terms of language generation quality and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of this paper propose a transformerbased multimodal autoencoder architecture including a sequence encoder a structure encoder and a sequence decoder for protein design in the method a claimed no... | this is a promising idea without enough empirics to substantiate its potential utility and also with a lack of clarity on the importance of the outlined task itself foldbased rather than structurebased conditional sequence generation there remain concerns about the lack of a more comprehensive comparison to methods for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
instead of building a modulebased ads this work aims to achieve offroad selfdriving endtoend concretely a driving policy trained in a simulator can be directly transferred into the real world the core techn... | the paper is well written and the addressed problem is well motivated the approach of using the segmentation map as an intermediate representation to solve the sim2real problem is interesting and the evaluation on a real truetoscale demonstrator vehicle was seen as a strong point and valuable contribution by all review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel mixedscale sparse voxel transformer to capture both types of information simultaneously by the divideandconquer philosophy experiments on waymo show promising results 1 the gener... | after the rebuttal and discussion two reviewers are positive one remains negative the reviewers liked the overall approach the writing and the core experimental results some reviewers asked for additional broader experiments and comparisons which the authors were able to provide the main concern of reviewer qryf is the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
recently local attention based vision transformers achieved stateoftheart results on various visual recognition tasks this paper rephrases local attention as a channelwise spatiallylocally connected layer w... | all three reviewers recommend acceptance the paper introduces an interesting study and insights on the connection between local attention and dynamic depthwise convolution in terms of sparse connectivity weight sharing and dynamic weight the reviews included questions such as the novelty over cordonnier et al 2020 and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper tackles generative modeling sampling in particular via finding the push forward functions t equivalently the velocity fields v that iteratively moves particles from a reference distrib... | the paper proposes a discretization of wasserstein gradient flow with an euler scheme and propose a way to estimate each step of the euler scheme using ratio estimators from samples regularized with gradient penalties statistical bounds are given to bound the estimated flows from the wasserstein flow reviewers have ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a cheap attention module that focuses on mobile settings eg limited flops and latency the cheap attention module is implemented as two depthwise convolutions followed by sigmoid attentio... | this paper aims to augment efficient cnns with selfattention however since the naive approach to selfattention is computationally expensive and would contradict the point of efficient cnns the authors introduce a new attention mechanism which captures longrange information without substantially added computation cost t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work contributes a few interesting ideas for deep sufficient dimension reduction sdr authors developed a new stochastic neural network and proved that the output of last hidden layer satisfies the sdr ... | this paper gives a new method to perform nonlinear sufficient dimension reduction by utilizing a stochastic neural network the derivation of the proposed method is justified by some theoretical background and a convergence rate analysis is given for the derived algorithm the practical performance is evaluated by some n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a new active learning algorithm for classification problems the authors propose a selection criteria that trades off between uncertainty and diversity the novelty lies in formulating a t... | the paper studied an interesting yet challenging problem in active learning and provided an intuitive heuristic for selecting informative subsets of training examples the reviewers generally find the paper well presented and highlight that the clarity of the exposition of the issues of existing query heuristics especia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel approach to finding possibly large sets of diverse plans to a planning task with quality that is still within a given ratio from the optimal cost the authors baptize their a... | dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a convergence analysis in the nonconvex setting for a family of optimization algorithms which the authors call the adamtype this family incorporates popular existing methods lik... | this paper analysis the convergence properties of a family of adamtype optimization algorithms such as adam amsgrad and adagrad in the nonconvex setting the paper provides of the first comprehensive analyses of such algorithms in the nonconvex setting in addition the results can help practitioners with monitoring conve... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes soft pruning and soft l0 regularization the soft pruning learns a binarization function based on a sigmoid i am curious to understand how the algorithm can let some low magnitude weigh... | this paper proposes a method for differentiable pruning that replaces the hard thresholding of standard pruning with a soft version that permits taking the gradients of the pruning threshold the proposed benefits are an accuracy that is better or competitive with alternative methods as well moreover the paper suggests ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presents a framework for alerting when the risk of a deployed model exceeds predefined levels observing a sequence of target instances coming from possibly different distribution than source one it... | this paper is concerned with the problem of distribution shift and develops techniques for detecting when the risk of a deployed model performs significantly worse on a testing distribution than on the training distribution the reviews for this paper were extremely consistent after the discussion period all five revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an autoencoderbased approach for semisupervised timeseries clustering specifically the paper exploits convolutional autoencoder cae and integrates internal validity indexes to evaluate cl... | this paper addresses an important problem of semisupervised learning of timeseries data their approach is based on a convolution autoencoder for learning a timeseries latent space to guide learning an appropriate embedding they explore three alternative internal clustering metrics prototype loss silhouette loss and d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
well written computation of baseline performance if i understand it correctly is interesting it indeed shows that the different metrics ssim psnr produce very good metrics eg ssim0961 when computed on pair... | this paper presents a deep generative models for multicontrast synthesis mri th proposed unsupervised method uses knowledge of the mr physics models and is applied to radiotherapy most of the reviewers found this paper interesting the technical choice and the validation could be improved especially the choice of the b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of transferring knowledge from abundant data with low granularity labels to the fine grained data with few labels the model uses gaussian mixture approach to link the structu... | this work presents an approach to learning good representations for fewshot learning when supervision is provided at the superclass level and is otherwise missing at the subclass level after some discussion with the authors all reviewers are supportive of this work being accepted two reviewers were even supportive of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the inconspicuous and transferable adversarial attacks on face recognition models different from previous works that consider lp norm perturbations this paper introduces the framework of ... | this paper studies adversarial attacks on facial recognition systems the key contribution is that instead of directly manipulating pixel space this paper proposed to perturb the facial attributes for generating inconspicuous and transferable adversarial examples the initial concerns are mostly about requiring 1 more ab... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve the scalability issue of partial auc maximization including the sum of ranked range loss minimization in the setting of largescale imbalanced binary classification it proposes a gra... | the paper proposes a differenceofconvex dc based algorithm for optimizing the partial auc performance measure the authors show convergence guarantees and superior empirical performance compared to baselines the reviewers had some concern about the novelty of the use of dc optimization to which the authors point out th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a modification of the wellknown actorcritic algorithm give a intuition for how it works adding an adversary and present experiments showing stateoftheart performance on certain tasks on ... | this work tackles to address the sparse reward problem in rl they augment actorcritic algorithms by adding an adversarial policy the adversary tries to mimic the actor while the actor itself tries to differentiate itself from the adversary in addition to learning to solve the task this in a way provides diversity in ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work analysis streaming pca algorithms in the time varying covariance model and shows that the noisy power method that relies on a batch of samples at each update is retaoptimal as opposed to ojas meth... | the authors consider the streaming principal component analysis problem where the data generation process may be subject to perturbations the paper provides fundamental limits and analyze the convergence of the noisy power method and ojas method in this setting this shows that the former is rateoptimal the reviewers fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new learning from demonstration architecture that creates a structured policy capable of controlling robots with high dof from a limited number of demonstrations the paper presents the... | reviewers agree that this is an interesting paper however they also identified a few issues with the paper the relation and novelty wrt to the rmp paper seems unclear as both approaches seem to be very similar the comparison to the rmp approach is missing many details and one reviewer was questioning the poor perfor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to learn the invariances relating to mdps with different observations eg invariances in the underlying dynamics of the systems using a generative model of the observations in an unsuperv... | meta review for invariance through inference the motivation of this work is to address the problem of learning a model that generalizes well on a test distribution that samples outside of the training data distribution reviewer x3p2 wrote a good summary of the paper in this paper the transfer of a reinforcement model... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for computing birds eye view bev occupancy maps unlike methods that explicitly use geometric information or that compare all pairs of pixels they use an encoderdecoder transform... | this paper presents an encoderdecoder transformer model for bev vehicle semantic segmentation with cameraonly inputs the technical quality is very good and clarity and originality are good the strengths are wellwritten and ideas easy to follow the proposed approach is quite efficient in addressing common computati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new cnn module to learn video feature representations for action recognition with a particular focus on increasing channel interactions for spatiotemporal modeling to achieve that the ... | the paper focuses on the task of learning efficient representation models for video classification to avoid the excessive computational cost of performing 3d convolutions on video the authors propose to break the channel dimension of video representations into subdimensions that are treated separately this cuts down on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this challenge paper provides ideas on how explanations within the realm of ai planning can be generated if the decision making process is a black box called inscrutable in the paper ie if the plan generati... | we thank the authors for their contribution the reviewers agree that the paper would facilitate interesting discussions during the workshop please refer to the commentsconcerns provided by the reviewers when preparing your cameraready submission in particular the paper would benefit from a more clear demarcation of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem setup the paper proposes a mutual information objective to learn a latent representation which can be used for planning the paper note that most of the existing model based rl methods learn a model... | this paper presents nonmarkovian predictive coding npmc a method for learning state representations in visual rl domains that can be used for planning this work builds on recent work on pc3 shu et al 2020 and planet hafner et al 2020 concretely npmc replaces the image reconstruction objective in planet with a noise con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of adversarial transferability ie the ability that an adversarial example generated by one model can successfully fool another model there are numerous papers on this topic ... | while the paper contains significant information most insights have already been revealed in previous work as noted by r1 the empirical novelty is therefore limited and the authors do not provide theoretical analysis to complement this |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a reweighting of the bellman update for offline rl using the variance term that leads to an improved bound for offline rl the paper is well written and easy to follow with the key improv... | in this paper the authors motivate the paper well by the gap between the upper bound of the popular offline rl algorithm and the lower bound of the offline rl by exploiting the special linear structure the authors designed a varianceaware pessimistic value iteration in which the variance estimation is used for reweight... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this study proposes a method that aims at efficiently solving the inverse problem of stochastic simulators the new methodology uses neural networks to learn both an embedding of the simulator output and an ... | all reviewers agree that the paper proposes an interesting approach that aims at efficiently solving the inverse problem of stochastic simulators although some reviewers have some technical concerns at their first reviews basically those have been resolved by the authors responses thus although there are some points th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to combine differentiable neural architecture search darts with standard reinforcement learning rl frameworks by searching the model structures convolutional cells for the policy and val... | the paper studies network architecture search in the context of reinforcement learning in particular it applies the darts method to the procgen rl benchmark and conducts extensive experimental evaluations it identifies a number of issues that could potentially prevent darts from working well in the rl setting such as n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds on a recent theoretical work by dai wipf 1 dai wipf analyze the optimal behavior of vaes when applied to manifoldvalued data this work analyzes the training behavior of vaes when applied... | the paper analyzes the behavior of vaes in modeling data lying on a low dimensional manifold it formally proves some of the conjecturesinformalstatements in an earlier work by dai and wipf 2019 in the case of linear vae and linear manifold and disproves the same for the nonlinear case in particular it proves by analyzi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a bilevel optimization approach for hyperparameter tuning this idea is not new having been proposed in works prior to the current resurgence of deep learning eg do et al 2007 domke 2012 a... | the paper proposes an approach to hyperparameter tuning based on bilevel optimization and demonstrates promising empirical results reviewers concerns seem to be addressed well in rebuttals and extended version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose learning control strategies in realtime for agent collectives they demonstrate the result of tabular qlearning on a closedloop dynamic optical microenvironment dome platform to control t... | this paper applies and evaluates the use of qlearning for the control of microscopic collectives of volvox algae while the application is indeed very cool and potentially impactful the paper has no theoretical contribution to the field of machine learning as it consists of an empirical evaluation of an existing and w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post response update i would like to thank the authors for their detailed response the response addresses my confusion around the use of the terminology of model inversion i would further suggest that the ... | in this paper the authors change the loss function of nns to reduce the separability of the different classes in one of the hidden layers the rationale for this assumption that the trained network will be more robust against whitebox model inversion attack the reviewers all concur that the paper had some merit but that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present myriad a testbed written in jax which enables machine learning researchers to benchmark imitation learning and reinforcement learning algorithms against trajectory optimizationbased meth... | this paper provides a testbed called myriad for trajectory optimization and system id in jax with the hope of engaging rl practitioners to benchmark against the test bed the proposed testbed provides examples ranging from different domains such as medicine and biology deviating from traditional domains that are usually... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after author rebuttal after reading the rebuttal im pleased that the authors have made significant revisions but i still think more work is needed the hardsoft hybrid approach still lacks justificat... | all reviewers wrote strong and long reviews with good feedback but do not believe the work is currently ready for publication i encourage the authors to update and resubmit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a dynamic normalization named dynamic token normalization dtn to replace the vanilla layer norm in vit it learns to normalize tokens in both intratoken and intertoken manners enabling ... | a new method for dynamic token normalization in vits both within and across tokens is introduced in the paper as noted by the reviewers the proposed method is technically sound with a clear and solid motivation the main raised concerns included the lack of experiments using larger models unclear reason for the accuracy... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a videobased hoi detection method that formulates the spatiotemporal representation in a video clip as tubelet tokens in which the tubelet tokens are extracted based on the windowbased m... | summary this paper presents a novel vision transformer tutor for humanobject interaction detection in videos tutor structurizes a video into a few tubelet tokens by agglomerating and linking semanticallyrelated patch tokens along spatial and temporal domains experiments are conducted on vidhoi and cad120 showing that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
building on the recent progresses in the analysis of random highdimensional statistics problem and in particular of message passing algorithm this paper analyses the performances of weighted tied autoencode... | this paper analyzes random auto encoders in the infinite dimension limit with an assumption that the weights are tied in the encoder and decoder in the limit the paper is able to show the random auto encoder transformation as doing an approximate inference on data the paper is able to obtain principled initialization ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed cocoinr an implciit neural representation trained with sparse multiview images leveraging on prior information from pretrained image prototypesfeatures specifically two attention module... | this paper focuses on improving the training efficiency of coordinate based representations by reducing the number of camera views needed during training to accomplish this the authors proposed a codebook attention module and a coordinate attention module to inject prior knowledge into implicit representations the intu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed approach is potentially interesting and has been shown to work well in an experimental setting the proposed model and algorithms are novel but quite incremental with respect to the state of the... | meta review the reviewers felt that this paper offered a valuable contribution to the area of multiagent planning and specifically in the use of communication in interactive pomdps to handle certain forms of open systems involving the presenceabsence of other agents there was an appreciation for the novelty of the prob... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a variant of transformer to train language model it uses two modifications one is the segment level recurrence with state reuse the other is relative positional encoding which significan... | despite the significant improvement in language modelling it has always been a thorny issue whether better language models at this level lead to better performance in the downstream task or whether such a technique could be used to build a better conditional language model which often focuses on the aspect of generatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the problem focus on an online convex optimization problem in which the learner wants to minimize the regret and at the same time does not want to violate some known or unknown constraints too often in part... | this paper provides an algorithm for online convex optimization with varying unknown constraints reviewers agree that the methods involved appear novel and interesting however the authors are strongly encouraged to add a discussion of the computational complexity of the method which may provide the missing tradeoff for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper investigates catastrophic forgetting phenomena where machine learnings model trained on a new domain suffer from performance losses on older trained domains the paper first finds that d... | this paper studies how layerwise representation and task semantics affect catastrophic forgetting in continual learning it presents two findings 1 the higher layers contribute more to forgetting than lower layers 2 intermediatelevel similarity between tasks causes the maximal forgetting it also indicates that existing ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a novel dataset and its code to increase the number of samples the dataset is named gamified association benchmark to challenge visionandlanguage models winogavil inspired by winograd sc... | the paper presents a new visionandlanguage benchmark that associates images and text collected using a crowdsourced game similar to codemaster all reviewers were positive on the paper they praised the cleverness and novelty of the idea the clarity of the writing that the benchmark and game are publicly available and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes dsn a dynamic sparse network for timeseries classification the goal of dsn is to avoid hyperparameter tuning and operate with sparse kernels to improve the resources and computational cos... | the paper presents a sparse network model for time series classification which dynamically determines receptive fields through the use of sparse kernels the method matches state of the art performance while reducing cost all the reviewers agreed that the paper solves an important problem and that the authors conducted... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a twoplayer zerosum quantum game consists of three steps 1 two players prepare two mixed states sigmarho 2 a third party makes a joint measurement r on the tensor product rhootimes sigma 3 the payoff of t... | in this submission the authors consider zerosum games and analyze two algorithms for learning the nash equilibrium in this version each players strategy is to probabilistically prepare a quantum pure state that is sent to a referee who performs a joint measurement on the two quantum states to determine the payoffs of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach for learning diverse temporally extended and reusable options it is based on the assumption that learning diverse options are generally useful for downstream tasks thus the ap... | this paper proposes infomax termination critic imtc a new approach for learning option termination conditions with the aim of discovering more diverse options imtc relies on a scalable approximation of the gradient of a mutual information objective with respect to the termination function parameters reviewers liked th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for visualizing and understanding gans representation this seems an important topic as several such methods were performed for networks trained in supervised learning which relat... | the paper proposes an interesting framework for visualizing and understanding gans that will be of clear help for understanding existing models and might provide insights for developing new ones |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work proposes a simple enough idea to speed up the training of bert by progressively stacking new layers while fixing older layers empirically with the same number of training steps and less time the pr... | this paper proposed a variant of the existing training method progressive stacking and showed good empirical results comparing with the normal training procedure for bert models it contains some interesting points on the technical side eg freezing the bottom layers when training newly added layers but there are several... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a modelbased data augmentation method cabi for offline rl which uses the agreement of forward and backward models to assess the validity of transitions it proceeds as follows 1 train forw... | strengths the paper introduces a new and interesting idea of double checking with bidirectional models and thoroughly evaluates the idea on a variety of offline rl datasets and through multiple ablations weaknesses the main weaknesses seem to be that 1 some of the performance improvements are small and 2 like prior m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose a new framing of the matrix local low rank representation technique identifying 3 different subproblems and claiming most existing approaches sonly solve some then proceed to pro... | we thank the authors for detailing their answers to the reviewers and uploading a new version of the paper with more details and experiments while the experimental section has improved in the revision the fact that the method proposed is an ad hoc sequence of 6 heuristic steps not supported by theoretical justification... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript considers the use leaveoneout error to analyse the generalization ability of oneversusall multiclass classification models that can be expressed as multipleoutput ridge regression models as e... | this paper proposes to use loo to characterize the generalization error of neural networks via the connection between nn and kernel learning the reviewers find the new results interesting the meta reviewer agrees and thus recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors present an elegant markovchain monte carlo mcmc method to carry out the task of generating molecular structures that satisfy several objectives pros the work is well written concise a... | this work proposes a method for generating candidate molecules using a novel fragmentbased mcmc proposal mechanism pros wellwritten paper novel idea for an important application very good empirical performance compared to the stateoftheart in multiobjective molecule generation careful ablation studies cons some ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies multiagent communication with an aim to mimic conditions for the emergence of language in society they argue that the emergence of language requires cooperation however people can... | the authors present a study on what maintains the stability of emerged communication protocols to study this question the authors design experiments in bargaining communities of agents in 3 setups a no punishment of restriction of liar agents b allowing individual agents to refuse bargaining with liar agents and c in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the decentralized bilevel optimization problem it proposes a gossipbased method which overcomes the challenges in computing the hypergradients in decentralized bilevel optimization meth... | this paper proposed a fully decentralized algorithm for bilevel optimization although the techniques are a combination of existing ones from bilevel literature and the decentralized optimization literature but the setting considered is considerably sophisticated ie both levels are distributed the algorithm is a singlet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel crossdevice federated dataset flair federated learning annotated image repository with associated download and benchmark code stored in github the dataset consists in 429k imag... | the authors provide a benchmark for federated learning the commonly mentioned strengths there is a big need in the community for this type of work easily accessible code various levels of complexity with different granularity regarding the weaknesses i see no showstoppers some feedback about the experiments done... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the problem of finding an approximate extensiveform correlated equilibrium efce of a finite generalsum multiplayer extensiveform game under the perfect recall assumption they propose an... | this paper builds upon existing works to prove that learning correlated equilibrium can be fast ie faster than sqrtn even in extensive form games three reviewers are rather lukewarm and one reviewer is more positive but seems less confident in his score the two major criticisms is that this paper is very difficult to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of coreset selection for realistic and challenging continual learning scenarios the authors proposed online coreset selection ocs a simple yet effective online coreset selec... | the authors propose three strategies for coreset selection in the context of continual learning in particular the authors consider classimbalance and noisy scenarios the authors run extensive benchmarks and ablation showing that the approach can be effective in practice all reviewers were positive about this work but f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes neurolight a variant of neural operators that is suitable to emulate optical devices efficiently while the core behavior of the proposed neurolight is similar to the fourier neural opera... | the authors propose a domainspecific extension of neural operators that is appropriate for photonics applications this is an interesting application of neural operators which demonstrates the usefulness of building in physical priors some reviewers expressed concern about the topic being too far outside the usual focus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes the agreementontheline phenomenon instead of relying on accuracyontheline the paper shows that it is possible to use the agreement of a pair of models as a proxy for the id vs ood perfo... | this work addresses the agreementontheline phenomenon by extensively analyzing a phenomenon relating to the agreement and accuracy of models on indistribution and outofdistribution data in particular one of the findings is that when there is a linear correlation between indistribution test accuracy and outofdistributio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study how pruning network parameters affects relative recall across classes in particular they argue that high levels of pruning increases the asymmetry in recall already present in the dense ne... | this paper studies the disparate effect of model pruning across classes and proposes a new method to reduce the recall distortion across classes this is a critically important problem and one which has just begun to be carefully studied in the literature so this work is timely and relevant all reviewers recognized the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript challenges the widely believed assumption that bayesian neural networks bnns are well suit for outofdistribution ood detection by showing empirical results obtained using infinitewidth allowi... | the authors question the assumption that the epistemic uncertainty provided by bayesian neural networks should be useful for out of distribution detection they start their analysis in the infinite width limit so as to be able to understand how the induced kernels in a gaussian process behave the paper also discusses th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper provides an interesting algorithm for tensor pca which is based on trace invariants the problem consists of recovering a singlespikemultiple orthogonal spikes tensor corrupted by a gauss... | this paper studies the tensor principal component analysis problem where we observe a tensor t beta votimes k z where v is a spike and z is a gaussian noise tensor the goal is to recover an accurate estimate to the spike for as small a signaltonoise ratio beta as possible there has been considerable interest in this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the task of gzsl more specifically they provide a way to improve the quality of the generative samples in generative gzsl a closedform probe model is introduced to provide an efficient... | the paper proposes to improve generalized zeroshot learning by training a generator jointly with the classification task such that it generates samples that reduce the classification loss to achieve this they use a zero shot model that has a differentiable closed form solution eszsl so the full model can be optimized ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a generative model that consists of two components a normalizing flow and an energybased model with shortrun mcmc as proposed in nijkamp 2019 the whole procedure operates by pushing some ... | the paper proposes a methodological improvement in the langevinbased training of energybased models the idea is to initialize the langevin flow used to train an energybased model with a normalizing flow which learns to mimic the langevin flow as the energybased model is being trained the method is empirically evaluated... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an architecture for adapting the locomotion of a legged robot in response to semantic terrain information a human teleoperates the robot with a joystick to provide scalar velocity labels... | i believe many reviewers are convinced by the authors response the motions and behaviors of the robot in the video are not impressive but i respect the reviewers opinion quality the reviewers agree that the papers quality is high clarity all reviewers rated the clarity as good or above however a few comments about i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
inspired by recent work on scorebased generative modeling this paper proposes to solve schrodinger bridges for generative modeling different from other schrodinger bridge works this paper connects the train... | the paper presents a new computational framework grounded on forwardbackward sdes theory for the loglikelihood training of schrdinger bridge and provides theoretical connections to scorebased generative models the presentation of the results is not satisfactory the algorithm should be clarified in several places and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed work introduces a defense which uses an auxiliary reconstruction task along with the classification to trap the backdoor within the classification head in the second stage a new classification ... | the recommendation is based on the reviewers comments the area chairs personal evaluation and the postrebuttal discussion this paper proposed a new training method to defend against backdoor attacks while all reviewers see merits in this paper some discussions about 1 the practicality of the defense using clean data ... |
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