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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors connect gnn and dp by using integral transforms as a common form to represent the operations used in gnn and dp the common form allows studying gnn and gp in unified framework and authors use th... | all the reviewers and the ac believe this paper makes solid contributions to gnn and its connection with dp therefore the ac recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how humaninterpretable are the concepts learned within the representation space of selfsupervised models it argues that linear probing methods are unable to identify whether a representat... | this paper proposes a method for inspecting and interpreting the visual representations learned by selfsupervised methods the method is conceptually simple and intuititive the authors assume that concept labels for the images are available and then go on to learn a mapping between the learned image vectors and the hum... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a training data augmentation technique to learn local keypoint descriptors which are invariant to certain 2d image transformations the required setup is simpler than that based on 3d geom... | reviewers felt positively that the proposed task of learning visual descriptors is important to robotics the proposed approach is simple reasonable and seems to work well the results and analysis are insightful and reviewers also appreciated the realrobot experiments the reviewers also felt that the paper is wellwri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper develops a novel approach to hyperparameter optimization that combines the respective advantages of blackbox and gradientbased optimization methods the proposed method called hozog... | the paper has been actively discussed in the light of the authors response following a strong consensus across the reviewers the paper is recommended for rejection even though the paper was overall found quite clear theoretically sound and tackling a relevant problem for the iclr community they listed several concerns ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows how full imagenet dataset with over 14m images and 21k classes can be used to train better backbones as part of the pretraining steps for few supervised tasks the paper claims that the contr... | this paper received mixed reviews leaning positive the negative review is mainly concerned about the significance of the work ac believes that the authors responses have sufficiently addressed these concerns overall ac believes that the paper will be a useful contribution given that many downstream tasks can benefit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a new contrastive learning algorithm for document representation the main idea is to generate pseudo labeled two texts whether the texts are coming from the same document to lear... | this promising work proves that the proposed contrastive learning approach to representation learning can recover the underlying topic posterior information given standard topic modelling assumptions the work provides detailed proof and detailed experiments the analysis is interesting and yields interesting insights ho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers a new setting where you can leverage both 1 offline play data that does not contain reward or task labels and 2 metatraining tasks in order to quickly learn new tasks at metatest time to... | the main contribution of this paper lies in the novel setting that is being considered offline data without rewards is combined with metatraining tasks to quickly adapt to new longhorizon tasks at metatest time within this setting it is shown that the combination of spirl and pearl outperforms the individual algorithms... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the exploratory conditions under which spatial representations will emerge as a byproduct of learning to predict the next sensory observation in particular the authors test three expl... | this paper is borderline for publication for the following reasons 1 the title is misleading the majority of the iclr audience understands by spatial structure the structure of the external 3d world as opposed to the position of the sensors in the internal coordinate system of the agent though the authors argue that kn... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
imitation learning review the gist of the paper is to improve irl with the socalled implant algorithm which is supposed to improve control policies in learning controllers pros it would be nice to have ... | the reviewers highly appreciated the replies and the additional experiments we also had a private discussion on the paper to summarize the replies alleviated quite a few concerns however the consensus was that the paper still does not meet the bar for a highly competitive conference like iclr the idea of combining mpc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a webbased infovis system that suggests visualizations by recasting the recommendation problem into something called a karmed contextual bandit problem and using an existing algorithm i... | the three reviews for this paper are very consistent in both their recommendations and their comments they all recommend that this paper not be accepted in its current form the main issue is that there are many places in the paper that are insufficiently clear on what was actually done rendering the contributions of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an unsupervised learning based anomaly detection method which masks the images at multilevels for restoration and then refine the restored images with refinement network to overcome hype... | the paper proposes a multilevel masking and restoration with refinement to solve the hyperparameter sensitivity problem in anomaly detection studies reviewers had some concerns regarding this work including limited novelty inconsistent numerical evaluation with prior works lack of discussions on benefits of using pri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a theoretical construction in which a one hiddenlayer relu network trained with gradient flow under some assumptions provably converges to a nonrobust network while at the same time a muc... | the result of the paper provides a particular vignette to the problem of lprobustness of trained 1 hidden layer neural networks the authors do not consider the statistical learning setting but define a robust model essentially in terms of smoothnessrobustness of the function around the training examples hence not disc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepfollowing the scenario of nobox attacks they propose a simple but efficient method that crafts adversarial perturbations by three types of handmade images ie concentric circles concentric squares and ... | this paper proposed a nobox attack method with mixed reviews while i appreciate the authors efforts which attempted to address the questions raised by the reviewers they were not sufficient to remove the concerns based on the reviewers comments and author responses i wont be able to recommend the paper to be accepted ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new library for executing and benchmarking hyperparameter optimization algorithms the library allows for different backends local cloud and simulation and facilitates distributed asy... | reviewers were satisfied with the empirical evaluation description of architecture and reproducibility the unanimously agreed that this work should be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper evaluated the robustness of the general deep equilibrium model deq in the traditional whitebox attackdefense setting the authors first pointed out the challenges of training robust deqs then they... | this paper studies the empirical robustness of the general deep equilibrium model deq in the traditional whitebox attackdefense setting as the topic is underexplored in the literature the authors first pointed out the challenges of training robust deqs then they developed a method to estimate the intermediate gradient... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
from the notion and empirical analyses from barely supervised learning it introduces super class based regularization which improves the discriminability of unlabeled data instances it largely improves the ... | this paper proposes a simple but effective method for barelysupervised learning where the label is scarce for instance 1 example per class the method is based on kmeans clustering of the unlabeled data to form superclass and rely on a contrastivetype of loss to enforce discriminativeness the proposed method improves cl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method of quantizing the parameters of pretrained language models by dividing the model parameters into sets or modules and quantizing each of them separately via techniques similar to... | in this paper the authors propose a practical method for posttraining quantization ptq of language models that divides the parameters and quantizes each separately following brecq in parallel with asynchronous updates and a teacher forcing method to reduce error propagation they show improvements on glue and squad benc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studied an interesting topic of trainingfree neural architecture search nas it utilizes two trainingfree indicators to measure the performance of a network without training it the experiments show... | the authors propose trainingfree neural architecture search using two theoretically inspired heuristics the condition number of the neural tangent kernel to measure trainability of the architecture and the number of linear regions in the input space to measure expressivity these two heuristics are negatively and positi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall i find the paper good they have multiple tasks to learn about the implicit and explicit object properties they show the gap that exists currently between learning to do descriptive tasks from visual... | the paper aims at benchmarking deep video question answering models in particular wrt counterfactual reasoning ie whether they may infer latent object properties for better counterfactual reasoning to this end it introduces a dataset crippvqa the empirical results show a gap in terms of answering questions about implic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
general statements this paper has a special flavour in the sense that it provides new light on a very established training method for energybased models contrastive divergence its core contribution is to p... | this paper reveals a novel interpretation of the wellestablished cd for energybased model training as an adversarial game through conditional nce the paper could be potential impactful for the community of ebms there are several points should be addressed in final version 1 based on such an interpretation the number ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims at optimizing the the loading latency of dnn models by repartition the model into modules that can be loaded in parallel the paper adopts reinforcement learning to find the optimal partition... | the paper proposed a novel rlbased solution to the optimal partial of dnns which is interesting to readers however the paper is not well presented and hard to follow the lack of comparisons agains existing solutions and inconsistencies in the writing as pointed out by the reviewers largely weakens the submission ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to use metalearning to learn an optimizer that automatically seeks wide local minima without the need to explicitly compute the sharpness measure on the fly when training the optimizer th... | this paper proposes a learningtooptimize approach that is flatnessaware ie it tries to find flatter minima in the loss landscape the idea is accompanied by both theoretical and empirical verification however in the current state the paper did not convince the reviewers about its potential impact in particular reviewer ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores to integrate equivariance deep learning to robotic applications the authors propose two main contributions 1 define and theoretically characterize an important class of groupequivariant ... | the paper investigates the use of equivariant neural network architectures for modelfree reinforcement learning in the context of visuomotor robot manipulation tasks exploiting rotational symmetries in an effort to improve sample efficiency the paper first provides a formal definition and theoretical evaluation of a cl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to estimate the multidimensional intensity function of a poisson process with a lowerdimensional projection the proposed method is motivated by perspectives of information geome... | the paper proposes a novel approach for estimating the highdimensional intensity function of a poisson process the proposed approach builds on generalized additive models using lowerdimensional projections the reviewers noted that although the paper is well written the position of this paper compared to earlier relat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work concerns itself about utilizing structural locality inherent in realworld datasets in improving the effectiveness of nonparametric language models it makes a claim that a structural locality is no... | reviewers were in agreement but borderline the paper has a nice hypothesis and develops the work using two realistic datasets wikipedia and code one reviewer was initially more negative but changed their views based on the authors improvements to the paper the idea is fairly simple but does require modellers come up ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper present a convergence analysis of the popular methods rmsprop and adam in the case of smooth nonconvex functions in particular it was shown that the above adaptive gradient algorithms are... | the reviewers and acs acknowledge that the paper has a solid theoretical contribution because it give a convergence to critical points of the adam and rmsprop algorithms and also shows that nag can be tuned to match or outperform sgd in test errors however reviewers and the ac also note that potential improvements for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
motivated from leveraging the uncertainty information in bayesian learning the authors propose two algorithms to prevent forgetting pruning and regularization experiments on several sequential learning task... | reviewers are in a consensus and recommended to reject however the reviewers did not engage at all with the authors and did not acknowledge whether their concerns have been answered i therefore lean to reject and would recommend the authors to resubmit please take reviewers comments into consideration to improve your s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider applying byzantinetolerant federated learning for online gpr and proposed a new algorithm with various modules for iot applications theoretical supports on the proposed algorithms are a... | this paper proposes a novel byzantinerobust method for performing gaussian process regression in a federated learning setup the contributions include the proposed method novel an accompanying theoretical analysis and experiments the reviewers were generally favorable about this paper finding that the approach is novel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to improve the ood detection capability of the existing ood methods the paper relies on the reprogramming property of dnns and learns watermarks that when applied can better sepa... | the reviewers agree that the proposed method is interesting and yields good performance a number of concerns were raised during the initial round of reviews concerning the rigorousness and completeness of experiments but these were addressed during extensive backandforth between authors and reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper explores the use of a nongaussian diffusion process for diffusion probabilistic models unlike the original work by ho et al the authors replace the diffusion process with a markov chain... | this paper explores replacing the gaussian noise typically used in diffusionbased generative models with noise from other distributions specifically the gamma distribution the effect of this change is studied empirically for both image and speech generation reviewers welcomed the exploration of the design space of dif... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the author analyzed the oversmoothing issue in gnn learning to compare with the related works the author proposed three metrics divergence indicator the intuition to set its value and the ease ... | this paper introduces a new layer for graph neural networks that aims to reduce the oversmoothing issue common to this model type the reviewers find the paper well organized and easy to follow and they recognize the importance of the problem that is addressed however they also identify critical errors in the mathematic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an asymptotic analysis of sgd when the noise sequence is not necessarily iid but can be a markov chain such as a random walk over an arbitrary graph the main contribution of this work is... | the paper proposes an asymptotic analysis of sgd when the noise governed by a markov chain such as a random walk over an arbitrary graph the paper connects efficiency ordering with an ordering of covariance matrices inherited from the central limit theorems one of the results of the work is that sgd algorithms can ach... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes the novel approach to generate highresolution images in progressive manner the approach is based on set of conditional flows that take the image generated from previous stage as conditio... | description the paper enhances flowbased generative models by putting them into a coarseto fine multiresolution framework the key technical challenge as i understand is designing upscaling conditional flow modules since the operation needs to be invertible the paper carefully designs what degrees of freedom need to b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper summarizes the theoretical guarantee for the existing lrmc and lrtc algorithms and provides the theoretical analysis for a new proposed multimode nonlinear deep tensor factorization the analytica... | the paper considers matrix and tensor factorization and provides a bound on the excess risk which is an improved bound over the bounds for ordinary matrix factorization the authors also show how to solve the model with standard gradientbased optimization algorithms and present results showing good accuracy the method c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary taking multilingual nmt mnmt into account this work investigates better model optimization alternative that is in part can be attributed as a multitask optimization problem mnmts are quite benefici... | this paper proposes a scalable optimization method for multitask learning in multilingual models pros 1 addresses a problem which has not been explored much in the past 2 presents very good analysis to show the limitations of existing methods 3 good results 4 well written cons 1 some missing details about various ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
robust ood detection is an important tool in medical imaging where dense annotations are usually hard to obtain i did not find any papers applying ensembles of density estimators to ood detection in the med... | all reviewers give a positive recommendation despite some limitations due to the short paper length and the necessity of further experiments i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers the graph deconvolution networks it proposed a graph deconvolutional networks to reconstruct the graph signals the concerns for this work are as below 1 the contributions in this work a... | the covered topic is timely and of potential impact for many application domains such as drug design the paper is well written and presentation is clear the proposed approach seems to have some degree of originality experimental results seem to be generally good and in the rebuttal the authors have provided further exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper identified the false negative issue in the pretrained language models and proposed two methods to counteract it the first method replaces the crossentropy loss in the standard mlm objective with t... | this paper gets decent performance gains 2 on glue by soft regularization to make negatives closer to positives in contrastive learning and hard correction of tooclose negatives to at least avoid synonyms these are useful ideas which to some extent build on the simple technique of electra controlling the size of the ge... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
mbw are proposed to tackle two problems 1 uncalibrated but synchronized videos with few views and 2 a limited manual annotations the main contributions lie in 3 aspects 1 propose a zoo dataset with uncalib... | this paper presents a dataset of uncalibrated pairstriplets of videos of zoo animals the paper also presents a method to label this data in a selfsupervised manner with minimal annotation reviewers appreciated the contents of this dataset and see value for follow up work the method for labelling was also appreciated we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the results of studies that examined using dwell and stroke gazebased gestures through a series of experiments the paper presents an analysis of how well dwellthengesturebased gaze inter... | based on the reviews i recommend that this manuscript be accepted to graphics interface while there are some issues with the presentation both r1 and r3 are confident that there is a small interesting contribution that is worthwhile publishing for the benefit of the community all reviewers noted several points where... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in traditional clustering algorithms incorporation of sideinformation or additional features only available during training time typically assume some prior knowledge of the groundtruth clusters ... | this paper proposes a new clustering method that takes into account side information the paper was reviewed by four expert reviewers who expressed concerns for novelty empirical and theoretical depth and unclear parts of the paper the authors are encouraged to continue research taking into consideration the detailed c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the training of gnn with compressed activation maps it provides an optimized gpu implementation and comprehensively studies the tradeoff among the memory saving time overhead and accurac... | there are numerous known methods for memory reduction used in cnns this paper takes two suchquantization q and random projection rpand applies them to gnns this is a novelty but i agree with the reviewers on its own this novelty would not be surprising enough to report at iclr the paper further goes to show empiric... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the theoretical learning of onehiddenlayer convolutional neural nets the main result is a learning algorithm and provable guarantees using the algorithm this result extends previous anal... | the reviewers seem to reach a consensus that the contribution of the paper is somewhat incremental give the prior work of goel et al and that a main drawback of the paper is that its not clear the similar technique can be applied to multiple convolutional filters the authors mentioned in the response that some of the t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose using bert embedding as an alternative to shallow word embeddings to find affective lexicons and also show that finetuning the model achieves stateoftheart in estimating af... | this work presents a new sentiment representation method with the use of affect control theory and bert reviewers pointed out several major concerns towards the insufficient experiments and results as well as the lack of ablation studies and related work discussion i would like to encourage the authors to take into acc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the work evaluates inrs in the context of image registration using only standard dl tools such as the pytorch library and stochastic gradient descent and demonstrates the use of inrs as a means of paramet... | all reviewers and myself appreciate the interesting idea here in combining the inr representation with registration and appreciate the cleanliness of the paper and execution of the idea the thorough discussion has also indeed improved the paper i appreciate the authorss thorough response and willingness to build on th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the structure of the paper is clear and combines both theoretical results and numerical experiments the result should spark interest in researchers studying robust identifiability of parametric models all ... | meta review this paper studies the question of robust identifiability of the parameters in linear structural equation models it builds on the work in sankararaman et al 2019 and establishes a sufficient condition for a bowfree model to be robustly identifiable by the algorithm proposed by foygel et al 2012 which is sho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using a variant of the nested crp as a prior on the latent space of a variational autoencoder the authors demonstrate that this approach is able to simultaneously learn a meaningful late... | while this was a borderline paper concerns about the novelty and significance of the presented work exist on the part of all reviewers and no reviewer was willing to argue for acceptance many good points to the work exist and a stronger case on these issues would greatly strengthen the paper overall i look forward to a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new way of molecular optimization that is based on chemical fragments the authors employ vqvae to encode a fragment library in a coherent latent space they argue that this method produc... | reviewers agree that the paper is wellmotivated and the proposed method is somewhat interesting and wellexperimented however reviewers feel that the paper relies on many existing methods and does not appear to be novel enough |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper argued that one current limitation of anyorder autoregressive models aoarms is that they suffer from redundancy in their probabilistic model ie they define the same distribution in multiple differ... | this paper introduces an improved training method for autoregressive generative models specifically the paper identifies a redundancy problem in common autoregressive models and proposes a way to fix this the reviewers found the contribution significant and important and it is likely that the paper will have substantia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new architecture for encoding the directed acyclic graphs into embedding vectors to benefit the downstream applications the proposed architecture breaks the limitation of sequentially e... | thank you for your first hopefully of many submissions to iclr this work describes a method for allowing nodes to be processed concurrently instead of sequentially allowing for a reduction in computation time the reviewers identified a number of concerns about the paper lack of citations and baselines an additional exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper investigates the adversarial robustness of model agnostic metalearning maml adversarial robustness can be added to maml in two places metaupdate stage and and finetune stage it shows tha... | the reviewers main concern was a lack of experiments and additional experiments were provided by the authors while the rebuttal was not addressed by the reviewers the ac feels that the rebuttal did address a number of experimental concerns well enough to justify accepting this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
updated to reflect author response this paper proposes a series of metrics to use with a collection of generative models to evaluate different approximate inference frameworks the generative models are de... | the paper introduces a benchmark suite providing a series of synthetic distributions and metrics for the evaluation of generative models while providing such a toolkit is interesting and helpful and it extends existing approaches for evaluating generative models on simple distributions it seems not to allow for very di... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces parrot a novel approach for pretraining a reinforcement learning agent on nearoptimal trajectories by learning a behavioral prior essentially the authors learn a word2vec style embeddi... | this paper presents an elegant and effective approach to knowledge transfer in rl by learning a policy prior from expert data the paper is generally well structured and well written generally all the reviewers were favourable about this paper with its simple idea and convincing results it was thought that the paper wou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the convergence of continuoustime residual networks with linear parameterization in the residual block trained by gd due to linear parameterization the residual block functions are unders... | the paper presents convergence analysis for resnet in a certain asymptotic regime for which the authors are able to establish local polyaklojasiewicz inequality the analysis sheds new light on the convergence of neural network training it is a technical sound paper and merits acceptance to the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a nice paper that clarifies the difference between the clean accuracy accuracy of models on nonperturbed examples and the robust accuracy accuracy of models on adversarially perturbed examples and it shows ... | this paper studies an interesting phenomenon related to adversarial training that adversarial robustness is quite sensitive to semantically lossless shifts in input data distribution strengths characterizes a previously unobserved phenomenon in adversarial training which is quite relevant to ongoing research in the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new probabilistic regression and classification framework called generalized variational inference in function space gvifs which involves taking the standard functionspace elbo formulat... | technically solid paper that introduces and benchmarks a novel inference framework with application to inference in gps all reviewers recommend to accept after a decent amount of discussion in which reviewers raised their scores in response to a fairly significant round of updates to the manuscript itself recommend to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the joint distribution matching problem where given data samples in two different domains one is interested in learning a bidirectional mapping between unpaired data elements in these dom... | this paper proposes a new image to image translation technique presenting a theoretical extension of wasserstein gans to the bidirectional mapping case although the work presents promise the extent of miscommunication and errors of the original presentation was too great to confidently conclude about the contribution... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a planning agent that can provide proactive task assistance to humans when the agent and the human have partial knowledge about their tasks by modeling and updating beliefs authors pro... | thank you for your submission reviewers agree that the ideas presented in the paper are interesting the solution is well defined and the user study is of value the reviewers also agree that this area of work human aware proactive assistance is of relevance to the xai community however anonreviewer2 believes that the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on a class of nphard combinatorial optimization problems called vehicle routing problems vrp which is of wide practical interest in the deep learning community there is a wide interest in ... | all the reviewers are in agreement to accept the paper the paper tackles vehicle route planning via a knowledge distillation framework using student teacher models the ideas in the paper are appreciated by all the reviewers there are minor criticisms especially regarding scalability with the problem size selection of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper analyzed the expressive power of kernels by studying the reproducing kernel hilbert space rkhs associated with the kernels specifically the authors analyzed the eigenvalue decays in term... | this paper analyzes the expressive power of ntk corresponding to deep neural network it is shown that the depth hardly affects the behavior of the spectrum of the corresponding integral operator which indicates that depth separation does not occur as long as ntk is considered the analysis is novel and gives a significa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a nonparametric reasoning method for reasoning on incomplete knowledge bases specifically for the task of finding a target entity given a source entity and a relation since this specific... | this paper proposed a casebased reasoningnonparametric approach for a widely studied knowledge base completion task given a subject and a relation predict the object based on a given knowledge graph the idea is novel and simple given the subject it retrieves similar entities in the whole kg and corresponding reasoning ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method to incorporate constraints into the output of learnable pde models they cover pointwise differential and integral constraints they achieve this by representing the pde solution ... | the paper introduces a framework for enforcing constraints into deep nns used for modeling spatiotemporal dynamics characterizing physical systems the authors consider different types of constraints pointwise differential and integral they start from a formulation approximating pdes as set of odes method of lines their... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides convergence results attached with invex regularizers few nonconvex regularizers with no global convergence guarantees profited from this analysis through invexity authors establish conver... | this paper addresses image reconstruction problems exploiting invex regularizers which are not necessarily convex for many modern signal processing applications invexity of the cost is proved many examples are considered and an extensive comparison with stateofthe art methods are provided in an application section as ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to increase the state space coverage with unsupervised skill discovery the authors propose upside they tackle reaching distant states direct and covering neighbor states diffuse at different stages also the... | the authors propose upside a method for improving state coverage in unsupervised skill learning directanddiffuse policies concatenate phases of directed behaviour followed by dithering to improve neighbourhood coverage in the region of state space visited trained with a discriminability objective to ensure diversity in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of point cloud completion through using an incomplete point cloud and an auxiliary viewimage as input moreover this paper proposes using viewimage as supervised signal and con... | the paper proposes a point cloud completion method that can take an auxiliary image as guidance all the reviewers rate the paper slightly above the bar they like the reported strong performance over the prior baseline and also the capability of using the auxiliary input although several reviewers raise concerns about m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a new algorithm for improved sampling of gans since gans are continuous functions that act on a connected latent space they will have trouble learning distributions whose support... | the paper proposes to train a rejection sampler in the latent space of a gan to learn disconnected data manifolds reviewers raised concerns about some theoretical aspects of the method as well as about the lack of larger scale datasets imagenet in the experiments authors responded to these concerns but some of them sti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors observe that in most stateoftheart knowledgebased vqa methods 1 visual features are extracted either from the whole image or in a sliding window manner for retrieving knowledge and the importan... | the paper incorporates regional features to better retrieve relevant knowledge and makes direct use of the visual signal in answer prediction whereas the previous sota methods simply rely on the retrieved knowledge for the final prediction the proposed method outperforms sota on okvqa by a large margin effectively show... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an online experience replay er based continual learning technique to mitigate forgetting of the past data the paper considers a repeated rehearsal setting that allows training for multip... | this work considers rehearsalbased methods in continual learning and revisits revisits the rehearsal dynamics most reviewers praised the analysis of overfittingunderfitting in replaybased methods and the presentation the proposed repeated rehearsal with dataaugmentation was shown to be effective in empirical evaluation... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies membership inference attacks and how differential privacy can help mitigate such attacks although the connection between membership inference and differential privacy has been known this ... | as the public post indicates significant deliberation went into this decision however the core criticism remains the primary contribution of this paper theorem 1 is somewhat incremental it is acknowledged that mi is an important problem and understanding its intricacies is worthwhile but the present papers contribution... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies pac reinforcement learning where an agent is required to identify an epsilonoptimal policy with probability 1delta the instancedependent complexity remains elusive in episodic markov deci... | the paper studies pac reinforcement learning in tabular episodic mdps with deterministic transitions and provides upper and lower bounds on the samplecomplexity that match up to horizon and logfactors overall all reviewers rate this paper positively after the authors responses and discussion they view the contribution ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a paper working for molecule generation especially considering the highfrequency and important subgraphs called graph pieces the graph piece extraction algorithm is not clear the iteration 1 highli... | while the reviewers appreciated the new methodology and presentation of the paper the reviewers were concerned about the experimental section specifically they wanted to see optimization outside of penalized logp and qed which are now viewed by the community as toy molecule optimization tasks eg penalized logp can alwa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to use a regularization term for stabilizing the perturbation trajectories in generating adversarial examples for medical image tasks more specifically they introduce a loss stabilization... | the paper proposes to use a regularization term for stabilizing the perturbation trajectories in generating adversarial examples for medical image tasks the authors tested the effectiveness of their proposal on different medical image datasets obtained by different modalities and the experimental results are generally... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose alignkgc a system for jointly learning to complete multiple monolingual kgs and aligning their entities and relations given a set of multilingual kgs alignkgc introduces entity alignment and... | this paper introduces alignkgc a neural model that performs entity alignment ea relation alignment ra and knowledge graph completion kgc on multilingual knowledge graphs the model jointly optimizes for the linear combination of losses for all 3 tasks the authors present a convincing set of experiments to show that each... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is wellwritten the theoretical work of this paper is sufficient which improves the value of the paper the paper has several novelties i this paper introduces two instances of this metalearning ... | meta review i recommend to accept this paper this paper proposes a framework for implicit kernel metalearning ikml in context of translationinvariant and deep random kernel families the core idea is to explore problems where data does not present a clear input structure and using a plugin translation invariant kernel ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the extension of proposalfree instance segmentation of 2d and 3d images is an interesting idea worth exploring also the paper contains a thorough experimental analysis with the current stateoftheart methods... | the reviewers are consistent with their ratings and comment that this work is interesting and well presented plus points are given for reproducible research through the authors release of source code and datasets it should be considered for oral presentation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a modification to the mdp formulation to model scenarios where humans are executing policies this model can take into account human uncertainty in the execution of the policy by ... | both reviewers note that the paper presents a novel and sound approach to addressing the problem of generating policies that could account for possible mistakes people may make while both reviewers were happy with the work in itself there were some concerns about how the work exactly connects to the workshop however th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the analysis of 13 zerocost proxies on 28 tasks and releases the precomputed scores of them the authors also studied a way to combine all zero cost proxies to allow better nas performanc... | this paper presents a systematic review of zerocost proxies for neural architecture search by design these proxies are cheap and easytoevaluate but results reported in the literature have been mixed in this light a benchmark seems relevant and important for further progress in this area the reviewers uniformly apprecia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the generalization of overparameterized metalearning models with a nested structure specifically modelagnostic metalearning maml and implicit maml imaml under some theoretical assumption... | this paper explores the generalization of minimum norm optima for various metalearning objectives including basic erm modelagnostic metalearning maml and implicit maml imaml the generative model considered is mixed linear regression in which each of tasks follows a linear gaussian noise data model a different directio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new measure for fairness in redistricting specifically the paper introduces the notion of local fairness where a redistricting plan is considered to be locally fair if no feasible dis... | the reviewers universally agreed that this paper is timely interesting and well written it has two limitations addressing which would make the paper even stronger first being upfront about the heuristic rather than rigorous nature of some of the statements as highlighted by the reviewers second is the investigation of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two novel methods for neuralnetworkbased combinatorial optimization the two methods sgbs and sgbseas show promising performance for solving three types of combinatorial optimization prob... | the paper follows in the footsteps of alpha go and presents two methods for neuralnetwork guided search targeting in particular beam search the paper was deemed a bit incremental but the method is simple is easier to parallelize than mcts and obtains good results on problems underexplored in machine learning please rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method proposes a method for goalconditioned rl that can be interpreted as a weighted version of prior workthese weights resemble a combination of discounting and advantage weighting the paper ... | the authors introduce a method that improves goalconditioned supervised learning gcsl by iteratively reweighting the experience by a variable that correlates with the number of steps till the desired goal the reviewers mention that the authors focus on an important problem their method is simple and the empirical resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on unsupervised anomaly detection in multivariate time series this is a important problem because anomalies are rare and labeling anomalies for supervised learning is labor intensive to m... | the paper tackles the problem of detecting anomalies in multiple timeseries all the reviewers agreed that the methodology is novel sound and very interesting initially there were some concerns regarding the experimental evaluation however the rebuttal and subsequent discussion cleared up these concerns to some extent a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes combinational music generation a task for creating different background music based on given conditions the task creates music samples with musical metadata and combines them to produce c... | all six reviewers recommend acceptance reviewers found the large dataset of professional midi music and metadata to be a useful resource authors should attend to main points in the reviews when preparing a final version these issues include those raised by reviewer 2g3b around more clearly presenting the contributions ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel state representation technique that is based on value functions vfs the core idea of the paper is to use vfs to construct a highlevel space representation in an hierarchical reinf... | this paper is good but at a borderline one reviewer increased the score during the discussions however no reviewer was in strong favor so that this paper is still a borderline one and it is up to the sac to decide |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of minimizing the objective defined as a finite sum of smooth and possibly nonconvex functions in a federated learning setting this paper aims to tackle the problem of expensi... | the authors have addressed many if not most of the issues raised as evidenced by the increase in scores all reviewers agree that the paper is worthy of acceptance the analysis is insightful the authors are suggested to contextualized with other gradient quantization schemes such as gandikota et al 2021 or lower bounds ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary pros this paper introduces contextual feature utility and contextual feature sensitivity to measure and identify high utility features and their associated model sensitivity and proposes feature c... | this paper proposes feature contractive learning fcl a training framework that takes a more nuanced view of robustness refining it to the sensitivity of the feature there are some differing opinions among the reviewers with some applauding the simplicity of this new take on robustness while others are unsure of its un... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors revisit the problem of overfitting to data set and construct an example where neural networks overfit to their training data without it affecting their performance the authors hypothesise that t... | the paper explores the question of why overparameterized networks can generalize well and shows a number of theoretical examples where overparameterized networks attain good generalization the question explored in the paper is an important one and the presented examples have potential pedagogical value however there a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses concepts that bert can capture the core idea is to use agglomerative hierarchical clustering method to discover latent concepts ie clusters with hierarchy those clusters were manually ass... | this paper analyzes the latent concepts learned in bert in contrast to previous work which tries to map embeddings to predefined linguistic concepts this paper sets out to discover what is inherently learned by bert this is however easier said that done since there is no easy way to inspect the embeddings and draw con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a synergyoriented learning solar framework that exploits the redundant nature of dof in robot control the method is inspired by the wellknown idea of muscle synergy which the human cent... | this paper propose an approach for learning lowrank synergies for morphologygeneralizable robot control all the reviewers agree that the paper is interesting and a valuable contribution hence i recommend acceptance additional comments the related work section does not cover virtually any past work from robotics that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a very well written paper with solid technical contribution the impact to the community might be incremental pros 1 i enjoyed reading the paper very well written clean and organized 2 comprehensive literat... | this paper proposes a document classification algorithm based on partitioned word vector averaging i agree with even the most positive reviewer more experiments would be good this is a very developed old area |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study spiking neural networks snns with a biologicallymotivated dynamic spiking threshold the underlying hypothesis is that having a dynamic threshold allows the network to fire similarly with ... | the paper proposes a biologically plausible dynamic thresholding mechanism spiking neural nets with dynamic thresholding appears to be novel the paper does a good job of motivating the choice of the model and illustrating its benefits across a series of control tasks all reviewers support the acceptance of the paper co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an improvement on an interesting problem poison a dataset to induce a machine learning process to a misleading model this field of study has been trending in recent years and this paper ... | the paper establishes an interesting relationship between poisoning and online learning instead of framing the poisoning problem as a bilevel optimization problem as what is done conventionally the paper proposes reducing the poisoning attack design to an online learning problem in which the adversary decides on a pois... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new framework of gnn which can deal with undirected and directed graphs in a unified way the authors argue that the size of the symbol space for a message passing path with length n is... | reviewers found the new framework interesting however reviewers are unsatisfied with empirical evaluations more experiments and discussion are needed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a graph coarsening strategy where a new way of assigning weights to a coarse graph is proposed by focusing on preserving properties of the laplace operator appropriate projectionlift oper... | this paper presents a way to use gnns to learn edge weights of a coarsened graph given the node mapping from the original graph to the coarsened graph the paper is wellwritten and the approach is wellmotivated as learning makes it easy to adapt the edge weights to different tasks and objectives as illustrated in the g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes mutual information regularized assignment mira which is a pseudolabelling algorithm for unsupervised representation learning inspired by information maximization the pseudolabelling proc... | this paper proposes a pseudolabelling algorithm for unsupervised representation learning inspired by information maximization the reviewers found that the proposed method is theoretically well grounded and that the authors provide extensive experimentations to demonstrate the validity of their approach i agree with ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces joint shapley values which directly extend shapleys axioms and intuitions joint shapley values measure a set of features average effect on a models prediction this work naturally extend... | the reviewers think the topic is important and challenging the results are novel and the experimental section provides a nice illustration how the joint shapley values can be used however the paper can be improved by including more real world applications and experiments |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper answers the question how complex inference models need to be to accurately estimate posterior distributions the conclusion is when a latent gaussian model with n parameters satisfies 1 strong inve... | all three reviewers viewed this paper as marginally above the acceptance threshold 6 most of the initial concerns of reviewers were around a the applicability of the theory to actual practical use cases and networks and b the presentation and framing of the work and scope of its results there were fairly detailed resp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper looks at the problem of oneshot imitation with high accuracy of imitation the main contributions 1 learning technique for high fidelity oneshot imitation at test time 2 policies to impr... | the paper introduces a setting called highfidelity imitation where the goal oneshot generalization to new trajectories in a given environment the authors contrast this with more standard oneshot imitation approaches where oneshot generalization is to a task rather than a precise trajectory the authors propose a techniq... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the crucial problem in computer vision pedestrian detection the issue of faster inference ie realtime performance with competitive accuracy is still a major problem as stated by the auth... | this paper improves singlestage pedestrian detectors with deformable vision transformers the paper initially received mixed reviews ie two weak accept and two bordeline reject recommendations the reviewers main concerns were essentially related to the novelty and contributions of the submission and to the performances... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies label smoothing when learning with noisy label it proposed generalized label smoothing gls containing positive label smoothing pls and negative label smoothing nls where nls allows the sm... | this paper studies generalized label smoothing gls which unifies positive label smoothing pls and negative label smoothing nls and studies its connections to existing loss functions it also shows the benefit of nls in the high noise regime although the reviewers acknowledge that the idea of nls in this paper is intere... |
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