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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a novel concept of supervised learning advocacy learning in this framework supervised learning procedure is given by two subnetworks advocates and judge advocates generate evidence in th...
the paper presents a novel architecture reminescent of mixturesofexperts composed of a set of advocates networks providing an attention map to a separate judge network reviewers have several concerns including lack of theoretical justification potential scaling limitations and weak experimental results authors answered...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed adama which can automatically use adaptive learning rates for each agent in cooperative multiagent reinforcement learning marl adama calculated the learning rate of each actor and critic...
this paper investigates how to deploy adaptive learning rates in multiagent rl marl in particular the learning rates are adaptively chosen based on which directions maximally affect the qfunction and take into account the interplay and balance between the actors and the critics the topic is certainly of great interest ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work applies the batch decorrelation loss proposed in reducing overfitting in deep networks by decorrelating representations cogswell 15 to the final predictions an ensemble of neural networks in orde...
the paper tries to argue the value of making ensembles more reproducible through the use of a correlation loss to try to make components as different as possible the paper is tough to follow and the high level motivation is unclear as one of the reviewers points out dont ensembles provide an estimate of uncertainty and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: they propose to extend incrementalonline inverse reinforcement learning i2rl to the case with noisy observations and an unknown observation model making it suitable to realworld robotics applications their ...
overall the problem of learning to imitate given noisy and unknown observations is relevant to the community the approach is original although somewhat incremental and the technical quality appears to be sound it is great that real human demonstrations were used for the onion sorting task additionally the inclusion of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in order to localize the object emitting a specified sound ie sounding object localization this paper proposes a twostream universal referring localization network turn concerning the localization stream an...
this paper presents an effective transferbased twostream architecture for zeroresource sounding object localization which is an interesting paper that will benefit research in zeroresource tasks in multimodal settings the experiment results are pretty impressive both quantitatively and qualitatively the rebuttal succes...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the convergence behaviour of the general onehiddenlayer fully connected neural network in the practical scenario that the input features follow a gaussian mixture model gmm distribution...
this paper gives a way to learn onehiddenlayer neural networks on when the input comes from gaussian mixture model the main algorithm uses janzamin et al 2014 as an initialization and then performs gradient descent the main contribution of this paper is 1 to give a characterization of sample complexity for estimating t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed weak annotation scheme with hybrid label design is interesting it requires only 4 point for each slice and improves performance without increasing the overall annotation cost experiments show ...
the authors present a new method for performing weakly supervised segmentation using shape models the authors build on several ideas autoencoders for models etc to put together a pipeline that gets the job done most reviewers had several concerns and noted many missing literature aspects while the rebuttal helped i am...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims to train visionbased policies that can master a wide range of skills by learning from a large amount of diverse experience the paper claims that learning a latent representation of the enviro...
strengths all the reviewers have found that the experimental results of the paper is convincing all the reviewers have found the technical approaches in the paper making sense the paper is wellwritten and wellstructured weaknesses most reviewers have pointed out limited theoretical contributions as this artic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: briefly this paper presents a simple yet effective method ie ifnd for selfsupervised contrastive learning by effectively handling the falsenegative samples specifically the authors propose to cluster sample...
while the reviewers were somewhat split on this paper they all found some strengths and pointed out some weaknesses among these the main seems to be the somewhat incremental nature of the work in particular with respect to pcl as the authors point out the differences wrt pcl are meaningful and include the main thrust o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel fedsim approach which leverages the record similarity for soft linkage on top of the splitnn it is an improvement over the existing vertical federated learning which is mainly ...
this paper proposes a vfl technique that is effective in practice for some datasets but intuitively may not be general enough for a significant portion of common settings such as when the identifiers are names while we recommend to accept this work we hope the authors can seriously revise this paper in the final versio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors present an approach to partition the state space by generating a diverse set of goals and to explore the state space effectively by finding policies that can reach to these goals effectively at eac...
this paper introduces regioned episodic reinforcement learning rerl which partitions the state space by generating a diverse set of goals and then explores the state space by learning policies that reach those goals this idea is a combination of episodic memory techniques and goaloriented reinforcement learning after...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considered establishing identifiability theories for nonparametric latent causal processes from their observed nonlinear mixtures the authors proposed to recover timedelayed latent causal variabl...
decision accept this paper presents identifiability results of causal relationships in nonstationary time series under the assumption of latent dynamics with nonlinear mixtures the authors also propose an implementation of the assumed causal model as a sequential deep generative model experiments compare the proposed ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed to efficiently learn a causal structure through interventions under a causal sufficiency assumption the key idea is how to design experiments intervention in a way to figure out the cau...
the paper proposes a bayesian optimization strategy for causal discovery under causal sufficiency and additive noise the main point is to choose interventions that maximize mutual information between parameters and observations the procedure combines techniques from several existing methods the authors have successfull...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose multiresolution graph networks mgn and multiresolution graph variational autoencoders mgvae to learn and generate graphs in a multiresolution and equivariant manner that has been applied...
the paper proposes multiresolution and equivariant generative models experimental results for several applications are shown pros a first hierarchical generative model with multiresolution and equivariance extensive experiments cons marginal novelty multiresolution and permutation equivalence each is not novel fo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method vael which combines vae and problog the main idea is to interpret a subset zsym of the latent representation z of vae as symbolic representation of the input a neural network ma...
the paper proposes to include a component enforcing logical constraints on top of a variational autoencoder vae the resulting method vael does so by leveraging problog in addition to a neural encoder and decoder vael is employed for simple generative tasks with constraints over the outputs such as conditional image gen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper would like to address the problem of safe exploration with a conservative estimation of the environment although the problem seems reasonable i have the following several concerns on this paper ...
summary this paper introduces a different interesting definition of safety in rl the paper does a nice job of showing success with empirical results and providing bounds i think it provides a nice contribution to the field discussion the reviewers agree this paper should be accepted the initial points brought up agai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper talks about a simplification of transformer architectures the original transformers employ a dense attention between all tokens in a sequence to focus on sequence comprehension in this work howeve...
the paper proposes a new architecture named iterative memory network imn to encode long user behavior sequence for recommendations reviewers appreciate the clarity of the writing as well as practicality and the ol complexity of the proposed architecture however do raise questions on novelty different design choices emp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a tensorial representation of data and linear transformation and split into multiple spectral subsets an independent neural network is trained on each of these subsets at training and com...
reviewers generally agreed that the parallelization idea described in the manuscript is interesting but for the most part felt that it is not well positioned within existing literature making it difficult to gauge the exact novelty and that empirical results are not sufficiently convincing i encourage the authors to a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors offer insightful ablation studies that reveal the importance of segmentation maps multiple views and the influence of the predicted vs groundtruth segmentations the clinical application is rele...
all reviewers suggest rejection mainly due to lack of novelty and methodological developments and limited assessment of related work the authors have also decided not to rebut the reviewer comments and as such i go with the initial rating of the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper concerns the geometric distortion that causes domain gaps during unsupervised domain adaptation for semantic segmentation which is motivated by the differences between rectilinear images and fish...
this paper proposes a new segmentation method with geometric insight to deal with the distortions as pointed out by our reviewers this paper is featured with important practical value clear problem definition and interesting mathematical insight during the rebuttal phase most of the reviewers confirmed their support f...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 authors introduce the vector field to generalize different modalities for vessel segmentation 2 authors use an autoencoder to generate different styles of enhanced vessel maps for data augmentation as mul...
the authors have clearly clarified the issues raised by the reviewers overall all reviewers are satisfied with the response given by the authors and are glad to see that the quality of the paper has been improved substantially the rebuttal looks reasonable and correct to me 
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a safe reinforcement learning approach using latent shielding the agent learns a datadriven recurrent statespace model representing a world model based on an existing approach hafner et...
the paper proposes a modification of the dreamer method to account for safety constraints there is agreement among the majority of reviewers that the paper lacks in novelty with respect to dreamer in the safety analysis and in convincing experiments i encourage the authors to take the detailed reviews into account when...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a branchtotrunk network btnet with multiple independent branch networks bnets and a shared trunk network tnet to extract feature representation for multiresolution face recognition the cu...
this paper proposes a branchtotrunk network with multiple independent branch networks and a shared trunk network for multiresolution face recognition this paper received three detailed reviews while there are some merits in this work the reviewers raised many concerns including 1 inadequate experiments to demonstrate...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: for pairwise learningtorank problems it often suffers from class imbalance problem when constructing training data where negative class examples are much more frequent then positive class examples negative ...
the reviewers remained concerned about the overall novelty of the paper finding the contributions somewhat incremental the authors are encouraged to better substantiate design choices that they make to improve the overall presentation and to contrast with the worksline of research brought up by the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission titled recovering private text in federated learning of language models discusses privacy attacks in federated learning that recover private information from user gradients the proposed attac...
this paper proposes a novel gradient inversion attack to recover private text in fl training under the honestbutcurious server threat model through extensive experimentation the authors demonstrate that their attack achieves improved attack performance compared to prior work under the same threat model and performed pl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of solving lp and more generally convex programming via sketching based approaches in particular the running time of proposed algorithm in this paper matches the running time o...
the reviewers found it hard to understand the motivation of using both oblivious sketching and maintaining feasibility throughout the course of the algorithm given that the ultimate running times matched those of existing work because there wasnt a concrete improvement over prior work the worry is what the impact of th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a modification to the vae training scheme here the training objective is modified with the aim of encouraging the model to correctly learn invariances and equivariances of the data final...
this paper presents an augmentationbased training of autoencoders with stochastic latent space the proposed method is examined on the representation learning task on several image datasets while the reviewers found the submission interesting simple and easy to implement they also raised serious concerns around the nove...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach to learning active learning policies that rely on imitating the behaviour of known heuristics the resulting learnt policies can successfully transfer between the related data...
in the discussion all reviewers acknowledge the novelty of this paper such as learning from a wide range of al heuristics and the ability to transfer the to tasks with arbitrary number of classes they also think that the additional experiments provided by the authors improve the papers empirical validity however a ma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: generating data with multiple constraints on its correlated properties is a critical task the authors address this task by designing a new mask pooling layer to identify and control correlated properties us...
all three reviewers argue to accept albeit one borderline extremely substantial response from the authors addressing individual reviewer comments which led to reviewers raising their scores and to a much revised paper with new experiments this effectively led to a second round of review with engaged reviewers who conf...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper describes using the technique of modifying the weights for the outer layers used in teacherstudent network for same task to transfer learning for different tasks by modifying the loss func...
this paper argues that each layer of a network may have some channels useful for and some not useful for transfer learning the main contribution is an approach which identifies the useful channels through an attention based mechanism the reviewers agree that this work offers a valuable new approach that offers modest i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper discusses the notion of approximate value equivalence in modelbased reinforcement learning approximate value equivalence is concerned with the study of families of models that yield kstep bellman ...
a key discussion point in the rebuttal phase was the practical use of the proposed bounds which two of the three reviewers brought up the authors in response added an additional section section 6 and experiment to address this concern while some concerns regarding the practical use of these bounds remain the authors ha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper focuses on improving the robustness of differentiable architecture search models i am not an expert in the topic so please see my review as an outsiders perspective although the problem is clearly...
the paper proposed an interesting method to improve the robustness of darts and hence to alleviate the mode collapse the idea consists of adding an auxiliary skip connection branch that complements the output of the cell function together with a depth analysis about the effect of the auxiliary branch the proposed appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on the augmentation of graph contrastive learning authors make further explorations on graph contrastive learning based on the previous cv contrastive work haochen et al 2021 and hope to...
in this paper data augmentation for graph contrastive learning graphcl is studied most reviewers agree that the problems addressed in this paper are interesting and important for unsupervised graph representation learning literature however many reviewers were not fully satisfied with the novelty and the claim of the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the setting in the paper is the classic unsupervised domain adaptation problem where we are given a labeled sample from a source distribution and an unlabeled sample from a target distribution the goal is t...
summary from reviewer uzt5 this paper analyzes adversarial domain learning dal from a gametheoretical perspective where the optimal condition is defined as obtaining the local nash equilibrium from this view the authors show that the standard optimization method in dal can violate the asymptotic guarantees of the gradi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a wellknown issue in learned compression is that due to inconsistencies in the implementations of lowlevel floatingpoint arithmetic across different hardware architectures catastrophic decoding errors might...
the paper considers quantization issues for learned neuralnetworkbased image compression methods many works on the topic incorporate quantization into the training of the method the paper provides evidence that posttraining quantization is effective specifically the paper demonstrates that stateoftheart learned image ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors tried to reproduce the work conducted in the paper contrastive learning of sociallyaware motion representations they were able to successfully reproduce the paper with a slight deviation of 2 in...
good report well written and hyperparameter search conducted fairly however the paper lacks on analysis and ablation studies which could have strengthened the paper which makes the paper borderline however reviewers agree that the report is well written easy to follow and detailed discussion on the state of reproducibi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the semisupervised relation classification problem with only one manually annotated example for each relation the method is largely based on the bert matching model baldini soares et al 2...
this paper presents a method for oneshot relation classification experimental results demonstrate the effectiveness of the proposed method the main concern of the reviewers was the limited zeroshot nature of the problem in spite of that we think there are enough value in the paper and hence recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: inspired by frankle carbin 2019 the paper proposes to find winning trees from a set of gp solutions as initialisation for another gp procedure winning tress are random subtrees from gp solutions after simp...
this paper explores the hypothesis that bloat can be prevented in genetic programming by identifying winning subtrees from simplified solutions and use these to seed new gp runs this idea is connected with the lottery ticket hypothesis in deep learning reviewer are unanimous that the paper as it stands is not ready to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is wellwritten and adequately addresses prior works it makes sense to make use of negative samples and propose a loss to improve the performances in a weaklysupervised setting extensive experim...
although some further revision is required such as figures and details fo experiments this paper highlight the benefits of leveraging both negative and positive evidence based on the consensus of reviewers and myself a decision of accept is recommended
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a structuraljumplstm model to speed up machine reading which is an extension of the previous speed reading models such as lstmjump skimlstm and lstmshuffle the major difference as claimed...
the authors obtain nice speed improvements by learning to skip and jump over input words when processing text with an lstm at some points the reviewers considered the work incremental since similar ideas have already been explored but at the end two of the reviewers ended up endorsing the paper with strong support
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes an mlp architectures for problems in which the features do not have a known structure eg tabular data a differentiable routing matrix partitions the data into k blocks then standard mlps...
the paper proposes an mlp based approach for data without known structure such as tabular data at first the data are partitioned into k blocks in a differentiable way then the standard mlp is applied to each block the results are then aggregated recursively to produce the final output pros 1 handling less structured ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the problem of generalization to outofdistribution ood samples is key to most problems in ai the authors address this challenge in the context of iqlike tasks by introducing a method called fine for functio...
this paper tackles ood generalisation through a mechanism for analogymaking in functional spaces rather than the data space it involves construction of a functional framework that maps inputs to outputsby abstracting the transformation between inputs and outputs through a separate hypernetwork which provides the weight...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary   this paper introduced a general framework that incorporates multiobject reinforcement learningmorl perspective for constrained reinforcement learning to a policy set called pareto front that meet...
considering reviewers comments and comparing with similar papers recently published or submitted this is a good paper but hasnt reached the bar of iclr we believe that the paper is not ready for publication yet and strongly encourage the authors to use the reviewers feedback to improve the work and resubmit to one of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed weak annotation scheme with hybrid label design is interesting it requires only 4 point for each slice and improves performance without increasing the overall annotation cost experiments show ...
the authors present a new method for performing weakly supervised segmentation using shape models the authors build on several ideas autoencoders for models etc to put together a pipeline that gets the job done most reviewers had several concerns and noted many missing literature aspects while the rebuttal helped i am...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a new benchmark for evaluating reinforcement learning techniques mdpplayground it can be seen as a toolbox allowing to generate different mdps with different characteristics each mdp wil...
i thank the authors for their submission and very active participation in the author response period the reviewers and i acknowledge the importance of designing toy environments that allow the community to systematically investigate strengths and weaknesses of rl approaches that said the reviewers have criticized that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a transfer learning setting where the target domain variesevolves over time and the source domain is considered static the paper uses cdivergence to measure labeldependent domain discrep...
the paper proposes transfer learning where the target domain data is evolving along time they use both labeled and unlabeled data to learn domain and timeinvariant features based on a discrepancy measure they introduce their proposed algorithm uses vae to learn such features reviewers have mixed response although th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an alternative point cloud feature extractor named pointmlp pointmlp is composed of residual mlps and geometric affine modules classification results on modelnet40 dataset show the propo...
this paper proposes a new architecture for point cloud processing with good empirical results all reviewers recommended accept ac does not see a reason to overturn the consensus
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a measure of equivariance and invariance in 3 different contexts for multiclass classifiers 1 at channel level in a cnn 2 at representation level and 2 at softmax level the proposed mea...
the paper proposes metrics to empirically explore the nature of invariance and equivariance of deep learning models with the goal of better understanding the ways that they actually capture these concepts on a formal level they utilize their proposed metrics to shed light on two popular methods used to build invariance...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed the convolutional sparse coding layer csclayer to obtain performance comparable to standard convnets with better interpretability and stability by conducting extensive experiments on ci...
in this paper the authors introduce a convolutional sparse coding layer which is intended as a replacement for a convolutional layer that is has greater interpretability and stability experiments show that a resnet modified with this csclayer can achieve comparable performance on standard datasets as convolutional net...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a vae for modeling individual protein families that incorporates phylogenetic trees through an ou process on latent space they also use a sequence likelihood which does not factorize o...
the paper describes a vae model for individual protein families that uses phylogenetic trees through an ornsteinuhlenbeck process on latent space they also use a sequence likelihood which does not factorize over positions the paper claims these two advances represent a more expressive and efficient model of protein evo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: optimization of an unknown function under unknown constraints is a problem which has been often addressed based on gaussian process surrogate models in the past due to the unknown constraints existing appro...
i went through the reviews and authors responses the reviewers are experienced in this field and provided good quality reviews scores are the same weak accept i also went through the paper and considered it reached the bar of neurips
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an idea for a oneshot generative domain adaptation method to this end this paper proposed to minimize both global and local loss for global loss this paper exploits the difference betwe...
the paper focuses on oneshot generative domain adaption and proposes a novel method to obtain faithful adaptation it is well written and easy to follow the visualization results and quantitative evaluations demonstrate the proposed method can generate highquality results in all the metareviewer considers the contributi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an empirical study of language pretraining gpt2 image pretraining igpt and training from scratch for offline rl the study looks at the differences in activations parameters and gradients ...
the paper unanimously receives positive rates thanks to strong motivations and interesting results as the reviews show satisfaction on the authors feedback the final draft needs to respect it accordingly for example about the limitations of this research
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a new way of implementing the hamiltonian monte carlo method this new approach restricts the distance a single hmc step will travel hence to avoid unnecessary oscillations in low probab...
this paper proposes a new variant of hamiltonian monte carlo rather than using a fixed number of iterations as in the original hmc or choosing the stepsize adaptively as in nuts the paper simulated the dynamics until a fixed distance has been traversed the paper gives some arguments why this might be a good idea and a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper intends to turn an unsolvable planning problem into a solvable one by adding state variables to actions positive effects and such changes can serve as an explanation about why the problem is unsol...
the papers looks at a compilation approach for repairing classical planning problems with missing effects this is a good approach for explaining unsolvable planning tasks and we would like to see a discussion and presentation in the workshop as you move forward please consider the reviewers feedback particularly if the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study sparse coding models in which unit activations minimize a cost that combines 1 the error between a linear generative model and the input data an 2 the l1 norm of unit activations themselve...
while there has been lots of previous work on training dictionaries for sparse coding this work tackles the problem of doing son in a purely local way while previous work suggests that the exact computation of gradient addressed in the paper is not necessarily critical as noted by reviewers all reviewers agree that the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an empirical study of pruning algorithms on tabular neural networks using the lottery ticket hypothesis a comprehensive set of results show that iterative pruning seems to work better co...
summary the paper demonstrates the applicability of pruning to tabular datasets which arent typically explored in the literature on pruning the work identifies that yes pruning can indeed be applied to this domain with some success discussion strengths an unconventional domain that nonetheless should be studi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides three sign language datasets which by itself is already useful sign languages are largely underresourcedunderstudied the authors also provide indepth analysis of the extraction process d...
this paper presents a significant collection of unlabelled signing data 46k hours across 10 sign languages which have been preprocessed and converted to posekeypoints to remove identifiable information the paper also presents multiislr a multilingual dataset with labelalignment extracted from 11 other labelled datasets...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new benchmark to evaluate transferability of models that learn visual representations from language supervision consisting of 20 image classification ic and 35 object detection oc data...
the paper presents a new exciting benchmark for evaluating pretrained visionlanguage models it was reviewed by five experts who are uniformly supportive
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review this paper proposes a novel framework otter which considers the manytomany relationship within a batch of images and text captions for dataefficient languagesupervised zeroshot recognition an improve...
the paper addresses the interesting manytomany assignement problem between a set of images and a set of text most reviewers and i agree with them think that the idea and its application worth being published although the performance improvement is marginal i request the authors to update the paper based on the discus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this speech synthesis paper proposes to learn the forward diffusion process and reach better elbo values by doing that as well as facilitate inference with fewer steps while keeping good generation quality ...
this work suggests an extension of diffusionbased generative models where both the forward and reverse process have learnable parameters rather than just the reverse process this is then applied to speech synthesis with highfidelity audio generated in very few sampling steps compared to what is typical for this class o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in domain generalization recent work has shown that erm has comparable outofdomain accuracy to stateoftheart dg methods the paper aims to explain this result through model complexity the main argument is th...
this paper provides a learning theoretic account of domain generalization in which domains themselves are treated as data generated from some domain generating distribution all of the reviewers were positive about this approach and found it interesting there were however a couple of critiques raised by reviewers that l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a model to improve adversarial training by introducing random perturbations in the activations of one of the hidden layers experiments show that robustness to attacks can be improved but ...
while the paper contains interesting ideas the reviewers suggest improving the clarity and experimental study of the paper the work holds promises but is not ready for publication at iclr
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper intends to exploit the learned representation of the model to tackle partiallabel learning tasks the paper begins by a pilot experiment to show that the class activation map is better at selectin...
this paper considers the socalled partiallabel learning problem and proposes a class activation map that is better at making accurate predictions than the model itself on selecting the true label from candidate labels the authors investigate the approach in experimental results on four benchmark image datasets the re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a platform for audiovisual simulation that can be used for audiovisual rendering the paper also presents a dataset called soundspacespanoir for acousticvisual learning tasks the simulatio...
this paper was reviewed by six experts and received all positive scores ac feels this work is interesting and deserves to be published on neurips 2022 dataset track the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper the authors are encouraged to make th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to summarize this paper proposed a new noise injection method that is easy to implement and is able to replace the original noise injection method in stylegan 2 the approach is supported by detailed theoret...
this paper studies the role of noise injection in gans with tools from riemannian geometry and derives a new noise injection approach that aims to learn a fuzzy coordinate system to model noneuclidean geometry the new noise injection approach is shown to improve over styleganv2 noise injection on lowerresolution 128x12...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper builds upon the recently proposed s4 architecture which was shown to be effective at modeling longrange dependencies the authors propose simplifications to the s4 model by modifying the kernel suc...
this paper proposes a simpler alternative to s4 that achieves comparable performance the method makes sense and the experiments are thorough all reviewers agreed this is a good paper i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper seeks to develop invariance and equivariant graph neural networks based on the assumption that node feautures can be separated into a node coordinate feature vector and coordinateindependent node...
this work proposes to extend the invarianceequivariance properties of gnns by focusing on distancepreserving and anglepreserving transformations given respectively by the euclidean and conformal group preliminary experiments are reported that demonstrate the advantage of such architectures reviewers found this work ge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a method for cross domain fewshot classification that learns to generate domain specific data statistics from very few training examples for domain independent batch normalisation they...
this paper proposes an lightweight method for crossdomain fewshot learning using a metalearning approach to predict batch normalization statistics after the extensive paper revisions and discussion the reviewers all agreed that this paper is above the bar for acceptance assuming that the authors will include results fo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a conjunction of bayesian learning and regularization via information gain as a means of adversarial defense in particular they start from the perspective that bayesian lea...
in this paper the authors leverage information gain in conjunction with bayesian neural networks in order to to improve the robustness of bayesian neural networks however as pointed out by reviwers there are several mistakes in theier derivations and evaluations moreover the authors failed to crrectly refer to the exis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes conformal methods for learning a predictive confidence set that is guaranteed to be nearly the most statistically efficient among predictive confidence sets produced by a parametric clas...
this paper describes a few practically relevant extensions of the conformal prediction framework that has recently become popular in the ml community for providing marginally valid prediction sets without making distributional assumptions the conceptual contributions are not major given existing work without recalibra...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper built upon recent advancement in nlp and cv to introduce an auxiliary task in rl more specifically the authors proposed to reconstruct latents from masked observations with the goal of improving ...
unanimous accept scoring 5675 with confidence from reviewers who have published in similar areas all four reviewers all agree that the work is novel using such maskedbased representativesauxiliary losses in an rl setting in the latent space opposed to the original rgb space which doesnt sound like an obvious idea apri...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new sketching method for vectors which allows one to retain the guarantees associated with kmeans but with dimension bounded by sqrtn which can be much less than d the framework can be...
the paper analyses the performance of a class of samplingbased sketches for the kernel kmeans clustering problem the main contribution is a proof that the excess clustering risk of these sketches is optimal when a smaller sketch is used than in previous stateoftheart approaches to sketching kernel kmeans clear comparis...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a multitask network for pixelwise estimation tasks such as semantic segmentation and depth estimation the authors additionally introduced an ganbased image generation network a selfsuper...
the paper received borderline reviews while the reviewers acknowledged good motivation good number of experiments and good numeral results that demonstrated the proposed method outperforms the existing state of the art there are shared concerns the experimental setup is not really a low data regime generative models jo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper aims to provide a unified principle for multisource transfer learning under label shifts based on this principle this paper claims that a unified algorithm is proposed for various multiso...
the question the authors address is relevant and interesting mostly in the uda setting however there exists several recent works that have highlighted the importance of label distribution ratio in da wu et al combes et al etc hence the main contribution of the paper is to propose a novel analysis and results in the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a novel approach to complete code via sketches ie the proposed model can opt to leave a hole in the prediction whenever it is highly uncertain about the output the experiments provide co...
the paper proposes a transformer model of code that leaves holes at points of generation at which the model is uncertain the model is evaluated on c and python programs and outperforms existing techniques the reviewers found the grammformer model and the regexacc evaluation metric to be useful and interesting the exp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper deals with performing langevin dynamics as a form of sampling only using an amortisation mechanism this reduces the computational overhead of performing the sampling the method is then verified on...
the problem addressed in this paper is the one of inference in deep generative latent variable model the paper proposes a novel approach with an amortized approximation to the joint distribution of data and latent all three reviewers liked the paper with one reviewer being a bit concerned about the soundness of the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 this paper proposes a novel efficient algorithm for dpmeans problem 2 the delayed cluster creation idea is critical to enable the algorithm parallelizable 3 the empirical convergent speed of pdcdpmeans sh...
meta review n this paper the authors study the problem of improving the efficiency of dpmeans through parallelization the reviewers consider that this paper is novel and the experiments verify the major contribution of this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: objective of the paper the paper proposes a new optimizer adam that computes the first moment estimate at extrapolated points and the step size is normalized by the root of the norm of the first moment esti...
this paper proposes a new variant of adaptive stochastic gradient method that has notable differences from adam and claims the advantage of adaptive variance reduction while the algorithm construction looks novel there are several concerns by the expert reviewers on the theoretical results of the paper including lack o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce prospect a database for proteomics research based on a massive collection of lcmsms datasets already available from the proteometools project the paper is well written and the package ...
reviews were split reviewers agreed on the importance of the domain but differed in how they valued the contribution over proteometools which the dataset builds upon a primary concern was lack of baselinesbenchmarking the rebuttal argues that baselines would not add much value since strong methods have been published i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel federated learning framework for model training across multiple hospital data centers there are mainly three components in the framework including a student machine learning mode...
this work describes an interesting approach of using a reinforcement learning algorithm for federated learning the paper is well organized and the usecase of performing federated learning while preserving patient privacy is also important however the paper has room for improvement important baselines used for client se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose communicationcompressed methods for solving a particular class of problems that they refer to as variational inequalities the authors prevent theoretical guarantees for their method clai...
dear authors we had a long discussion about this paper overall the reviews are positive several reviewers raised their scores after the rebuttal phase and they found the response by the authors satisfactory however there were some concerns about the novelty of the paper that i summarize here this paper combines som...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces theoretical statistical guarantees for different types of sparsity inducing regularization in regression type settings for deep layered feedforward networks using techniques ...
the paper considers the problem of using sparse coding to create better generalization in neural networks the new generalization bound of the neural network only depends on the l1 norm of the weight instead of the original ell2 version as in previous papers well this direction is promising the major concern about th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper shows that binary discrimination between in and out of distributions is equivalent to several generative model based ood detection approaches such as likelihood ratios moreover the paper shows tha...
the paper contributes to the understanding of outofdistribution detection by showing that binary discrimination between in and outdistribution examples is equivalent to several different formulations of the outofdistribution detection problem the paper shows this in an asymptotic setup based on studying likelihood rati...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper uses an optimaltransport approach to ensure that two similar items that differ only on a sensitive feature eg gender are ranked similarly in this way individual items are treated fairly for exampl...
the paper focuses on individual fair ranking and proposes an approach for that based on optimal transport the reviewers are in general positive about the paper however there are a a couple of concerns that i believe should be addressed before publication first i find the treatment of the term counterfactual misleading...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper studies an interesting problem and proposes a novel recommendation framework to utilize user uncertainty over different item dimensions and the impact of display policy over users to ach...
this paper received borderline negative scores the reviewers all agree that the proposed approach is interesting however there are also common concerns around the clarity of the paper as well as lacking sufficient empirical evaluation one reviewer also argues that technical contribution is relatively limited the author...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel spatial frequency regularization technique that improves the robustness of training neural networks against superficial fourier statistics in a dataset in the loss function it a...
the reviewers all generally appreciated the idea in the paper however the nature of this contribution necessitates an empirical evaluation and the reviewers generally found this to not be sufficient convincing my assessment is that this idea can likely result in a successful publication but will require additional empi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the roles of privacy and personalization in crosssilo federated learning fl setting which has less explored than in crossdevice setting this paper firstly shows why existing privacy sol...
the paper presents an analysis of itemlevel or samplelevel dp with personalization in crosssilo federated learning the reviews are strongly divided with two recommending acceptance and two recommending rejection after reading all the reviews and the paper i find the argument of the accept side stronger while the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this study presented a novel method for the braincomputer interface where a manifold attention mechanism is applied to riemannian spd the results showed significant improvement over the sota methods on two ...
the paper proposes a manifold attention network matt that leverages the properties of the spd manifold in order to perform spatiotemporal analysis on eeg signals the results showed significant improvement over the sota methods on two typical datasets motor imagery and ssvep the paper is clearly written with adequate an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a multiobjective search algorithm that designs resourceefficient convolutional architectures the key idea is to maintain a population of networks and to iteratively approach the pareto fr...
the paper describes an architecture search method which optimises multiple objectives using a genetic algorithm all reviewers agree on rejection due to limited novelty compared to the prior art while the results are solid they are not groundbreaking to justify acceptance based on results alone
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors investigate the problem of learning a camouflage pattern which when applied to a simulated vehicle will prevent an object detector from detecting it the problem is frames as finding the camoufla...
this work develops a method for learning camouflage patterns that could be painted onto a 3d object in order to reliably fool an imagebased object detector experiments are conducted in a simulated environment all reviewers agree that the problem and approach are interesting reviewers 1 and 3 are highly positive whil...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a framework for artificial life where basic building blocks are artificial neural networks ann elements matrix multiplication and other linear algebra operations intended to be openended...
this paper proposes a framework for artificial life in the framework there is no primitive agent construct but rather a set of basic recurrent network components such as linear algebra operations the framework is openended and objectiveless the authors describe the emergence of different organisms out of these building...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an algorithm for batch multiobjective bayesian optimization the acquisition function uses chebyshev scalarization the goal is to solve problems with an infinite size pareto optimal set an...
this paper studied the problem of batch multiobjective bayesian optimization bo it considers a novel perspective to solve problems with an infinite size pareto optimal set by finding a pareto manifold of solutions the acquisition strategy uses chebyshev scalarization the key idea is to learn a mapping from preferences ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a labelinvariant augmentation for graphstructured data it conducts the augmentation in the representation space and augments the most difficult sample while keeping the label of the augm...
the paper finally received three unanimous scores 667 and all the reviewers think the authors have addressed their initial concerns the ac also think positive to this work and suggst to accept this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: overall the paper is well written and clearly structured the paper presents a solid data synthesis methodology it is well described how the anatomical context information is fused with the mr physicsbased...
the presentation organization and writing of this paper is good the data synthesis methodology is solid and convincing the experimental results are promising the implementation of this work is publicly available one reviewer vote for borderline and two reviewer recommend accept the rebuttal addresses the concerns from ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a quantum version of softbayes for the maximum likelihood qst task since softbayes enjoys fast periteration time complexity the proposed algorithm is a stochastic first order algorithm an...
overall the paper propose a stochastic firstorder algorithm that computes an approximate ml estimate for the qst problem reviews the paper received four reviews borderline reject less confident borderline accept confident borderline reject absolutely confident reject confident overall from the reviews there is not a r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as the title already suggests the paper proposes an extended taxonomy of overfitting adding an additional category of tempered overfitting to the previously acknowledge benign and catastrophic forms motiva...
this paper proposes a new taxonomy of overfitting that has the prospect of facilitating future discussions about overfitting overparametrization and various mysteries of deep learning the metareviewer recommends acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes one main method epic to measure the differences between the reward functions of mdps and two weaker baselines methods npec erc the methods are useful in directly comparing two different...
the proposed approach for evaluating reward functions is theoretically grounded while having several properties appealing to practical rl tasks this novel approach fills a gap in the literature all reviewers agree that this paper has a place at iclr
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors intend to propose an efficient automated reinforcement learning rl framework to achieve this goal they integrate three technologies ie evolutionary rl for hyperparameter se...
this paper tackles a very important topic in deep rl namely automatic nondifferentiable hyperparameter tuning it does so by combining ideas from genetic algorithms and neural architecture search with shared experience replay in order to obtain the key property of sample efficiency the proposed solution is communicated...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a object classification benchmark dataset for modeling the speedaccuracy tradeoff in human cognition the authors use the benchmark to compare human cognition to neural network behavior p...
inspiring from famous machine learning datasets such as mnist svhn and omniglot this paper proposes a synthetic data generator of characters to generate a wide variety of printed characters from various languages fonts and styles the dataset mainly focuses on meta learning this paper proposes a more diverse and challe...