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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of propagating adversarial robustness in federated learning adversarial training at is typically used for training models that are robust to adversarial examples however at req...
this paper considered the computational budgets of adversarial training in the context of federated learning and studied the propagation of adversarial robustness from affordable parties to lowresource parties although the authors conducted the extensive experiments to show the effectivenss of fedrbn there are still im...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a number of adversarial attacks on hybrid neuralsymbolic systems the systems are recommender and qa systems which use an underlying knowledgegraph kg such as conceptnet previous work has ...
the papers main message is that some existing nlp techniques that claim to improve performance by the use of a knowledge graph may not achieve this improved performance because of the knowledge graph or at least the explanation given may be questionable this is thought provoking and it will incite the community to thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper show the equivalence of optimal transport distributional robust optimization and tikhonov regularization under martingale constraints inspired by this observation the paper further introduce some ...
this work focuses on robust stochastic optimization under a wasserstein constraint and shows the efficiency of tikhonov regularization for this problem there has been a lively and constructive discussion between authors and reviewers and ultimately all agree that this work should be accepted and so do i
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies selfsupervised learning of articulated shapes under a very challenging setting where only a few 30 inthewild images of an animal category are available this setting is much more challengi...
this paper had substantial discussion amongst reviewers and concluded with mixed reviews 7 7 7 4 the positive reviewers mh51 rsf7 ljeq actively and strongly championed the paper the remaining concern comes from bonq who in reviewertoreviewer discussions was primarily concerned with making sure that the authors are cle...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a new model hetsngp that captures distanceaware model uncertainties as well as heteroscedastic data uncertainties hetsngp combines these two types of uncertainty in a beneficial way allow...
this paper studies the combination between model uncertainty and data uncertainty based on the spectralnormalized gaussian process empirical results show the effectiveness of the proposed method overall the paper is wellmotivated and wellwritten however there are several concerns about the paper 1 the novelty is margin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper is concerned with the fundamental problem of whether concepts of the real world can be understood exclusively from text descriptions in particular the authors argue against the position p...
the paper revisits the question of whether lms can learn meaning actually it argues that they are likely to capture important aspects of meaning to this aims it makes use of the conceptual role theory from cognitive science arguing that meaning can only be determined by examination of how a models internal states rela...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors use the reformulation of rl as inference and propose to learn the prior policy the novelty lies in learning a stateindependent prior instead of a statedependent one that can help expl...
the paper proposes a new rl algorithm mirl in the controlasinference framework that learns a stateindependent action prior a connection is provided to mutual information regularization compared to entropic regularization this approach is expected to work better when actions have significantly different importance ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents adaptive and anytime methods for semantic segmentation and pose recognition both of these are pixellevel tasks where the model is expected to output a prediction for each pixel in the inp...
this submission received 4 final ratings above the acceptance threshold 6 6 6 8 the reviewers mentioned limited novelty but acknowledged practical importance of this work and particularly appreciated thorough analysis provided by the authors after a strong rebuttal most of remaining concerns have been addressed the fin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of estimating a linear functional of an unknown regression function lying in an rkhs as well as optimal and adaptive design for estimating this the paper proposes to use a rid...
there is a wide consensus among reviewers after the discussion period that this submission has strong and novel results compared to the existing literature on experimental design which paves the way for confidence intervals that do scale in the dimension of the underlying possibly infinite dimensional hilbert space of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper looks at loss functions for semantic segmentation typical metrics are not easily differentiable wrt the outputs of the dnns that generate the labels instead a proxysurrogate loss function is lear...
auto segloss uses a differentiable surrogate parameterized loss function that approximates using rl some of the nondifferentiable metrics for segmentation auto segloss outperform crossentropy and other loss functions through a great number of experiments the main concerns rised by the reviewers more clarity on the abst...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: interesting overview of available augmentation methods in the introduction good comparison of different augmentation techniques for this problem interesting observation that hedjitter behaves differently...
the reviewers are in agreement that the paper should be rejected furthermore the authors have declined to rebut the arguments of the reviewers as such i agree with the suggested rejection
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper aims to learn a common embedding space for video appearance and text caption features the learned shared embedding space then allows multiple applications of zeroshot activity classificati...
the paper received mixed reviews the proposed ideas are reasonable and it shows that unpaired data can improve the performance of unseen video action classification tasks and other related tasks the authors rightfully argue that the main contribution is the use of unpaired multimodal data for learning a joint embedding...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper talks about solving an interesting problem of metaimitaion learning from watching human video demonstration the paper proposes a acyclegan approach to learn a latent representation for humanrobot ...
this is an interesting paper working on the difficult problem of learning from video demonstration the authors provided convincing experimental solutions for visual representation domain adaptation and imitation it would be a nice iclr paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: briefing this paper proposes a new infopro loss for locally supervised training that alleviates the problem from greedy supervised learning which collapsing taskrelevant information at the beginning of the ...
all reviewers agree that the paper brings new knowledge in the field of locally supervised learning and as such it should be accepted the authors should keep all reviewers comments into account when preparing their camera ready version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the proposed method addresses testtime adaptation as knowledge distillation from mixture of experts each expert is learned within each source domain as teachers during testing time a set of unlabeled sample...
this paper addresses the dgtta problem setting drawing inspiration from the recent adaptive risk minimisation arm it goes beyond arm to introduce a mixture of experts and distills from those mixture of experts during adaptation reviewers agree the moe idea makes sense and the distillationbased adaptation is interesting...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for exploration in reinforcement learning by using the uncertainty over the value function as an intrinsic reward it also offers an interesting theoretical analysis on the probl...
the submitted paper contains interesting theoretical insights into common approaches for exploration and proposes a new way for deriving intrinsic rewards for exploration which is evaluated in several benchmark environments while all reviewers appreciate these aspects there are concerns about whether the paper is ready...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a method for decoupled layer wise training of graph neural networks this method has the potential to be parallelized and offers computational and memory savings the authors pro...
in this paper the authors propose a new layerbylayer training approach for gnn in particular for a large graph the proposed approach can be easily parallelizable and scale well to a large graph reviewers are concerned about the novelty of the approach and the lack of theoretical analysis and it is not well addressed by...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strength it follows a clear research direction from wilcoxon rank test to covadj wilcoxon test and to the proposed ibet test the idea to introduce reward and use a gametheoretic way to design the test i...
the paper proposes a new test for determining whether a treatment has an effect rooted in a gametheoretic framework the reviewers and area chair all liked the paper and the authors rebuttal convincingly answers their questions please follow the suggestions when writing the revised version of the paper computing the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presented a relational graph attention networks that could consider both node features and relational information edge features to perform nodelevel and graphlevel classifications the basic ide...
the authors propose an architecture for learning and predicting graphs with relations between nodes the approach is a combination of recent research efforts into graph attention networks and relational graph convolutional networks the authors are commended for their clear and direct writing and presentation and their h...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of calibrating quantiles outputted by a regression model the data is assumed to draw from a noniid source eg time series with distribution shift the paper proposes a method ...
the paper studies an important problem of quantifying uncertainty as measure by calibration of predictions made by an ml algorithm in the presence of distribution drift however all reviewers point out a slew of concerns that went unrebutted by the authors the reviewers concurred that the paper deserved to be rejected a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper tries to verify a hypothesis that language grounding do help to overcome language drift when two agents creating their own protocol in order to communicate with each other there are sever...
this paper proposes a method to resolve language drift where a pretrained xlanguage model trained in an xlanguagey pipeline drifts away from being natural language in particular it proposes to add an auxiliary training objective that performs grounding with multimodal input to fix this problem results are good on a tas...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a 3phase heuristic algorithm to learn a causal graph from interventional data using continuous optimization unfortunately the paper is hard to follow specifically the exact procedure sho...
in this paper the authors study how to incorporate experimental data with interventions into existing pipelines for dag learning mixing observational and experimental data is a wellstudied problem and it is wellknown how to incorporate interventions into eg the likelihood function along with theoretical guarantees and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper overall presents a model that defines the multiperson activities using logic expressions and uses neural logic models to generate recognitions and predictions over events specifically the model f...
this paper presents work on temporal logic representations in neural networks the paper builds on work on neural logic machines dong et al adding temporal quantification the main positives to the method are this contribution of the temporal reasoning layers eg iii in fig 2 this layer provides an interesting extensio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the authors proposed method address an important problem the number of segmentation classes can quickly grow as datasets grow considerably larger and the scope of tasks for potential deep learning solutio...
the paper received three detailed reviews two of which are fairly enthusiastic a recurrent concern that was not fully addressed pertains to the use and definition of a specific atlas which may introduce some limitations that could be investigated further this however might be accomplished through a modification of disc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the communication complexity bits communicated of distributed optimization problems where the client objectives 1 satisfy the pl condition or 2 are overparameterized generalized quadrat...
this paper considers the following problem in distributed optimization to train an overparameterized model over a set of distributed nodes what is the minimum number of bits required to reach zero loss the paper gives lower bounds on the bit complexity for two settings nonconvex functions satisfying a pl condition and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript introduces the concept of augmented sliced wasserstein distances the main idea is to extend the sliced wasserstein distance based on mapping samples to higher dimensional hypersurfaces the p...
the paper presents a variant of sliced wasserstein distance where the slicing operation is performed with a neural network the resulting distance is studied and experiments on synthetic data and as cost in generative modeling are performed while the idea of the paper is not that novel the work is overall well execute...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a method called clsvae that generates combinatorial libraries of small molecules using a continuous underlying representation the authors demonstrate the forward and reverse query in su...
there are three reviews all of which place this paper above the threshold all reviewers agreed on several strong points such as originality convincing motivation behind the general approach and clarity of presentation at the same time the reviewers also raised some critical comments about the practical utility of the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: cyclesgym is a new benchmark environment for reinforcement learning rl applications to agriculture and farming the benchmark allows for different crops to be produced over a span of multiple years the env...
this proposal introduces cylesgym the first reinforcement learning rl benchmark targeted at long horizon decision making in agriculture crucially while prior work addresses singleyear decision making cylesgym captures the long term effects that one years crop has on future generations the benchmark is clearly highly ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper focuses on training deep learning models under differential privacy the main contribution is a technique based on projecting the gradient into a nonsensitive anchor subspace and then pert...
the paper introduces a method for differentially private deep learning which the authors term gradient embedding perturbation this is similar to several roughly concurrent works which project gradients to a subspace based on some auxiliary public data however a crucial difference involves the use of the residual gradie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper their goal is to improve calibration and accuracy by augmenting a classification model with a gp they base their model off rio iclr 2020 which targets regression problems and tries to predict ...
in this paper the authors use a gp classifier to detect if the output of a nn classifier has been decided correctly the gp takes as input the original input vector x and the output of the nn ie the calibrated posterior probabilities given by the nn it uses that as an input vector for the gp classifier to decide if the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a multimodal multitask model is proposed for ui understanding it has an imagestructure transformer and questionanswer transformer to encodedecode image structure and language information the method is evalu...
this paper proposes a neural architecture for tasks involving user interfaces tasks involve detecting objects on screen writing captions about ui components attribute recognition etc the reviewers for this submission found the proposed model to be reasonable and effective they also found the paper to be well written an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: principal component analysis pca is a wellknown dimensionality reduction and feature learning technique in the literature that leads to uncorrelated features while there are a plethora of algorithms for pca...
this paper introduces a novel gametheoretic view on pca which yields an algorithm eigengame algorithm 2 that allows evaluation of singular vectors in a decentralized manner the proposed algorithm is significant in its scalability as demonstrated in the experiment on a largescale dataset resnet200 activations this paper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces an algorithm for training neural networks in a way that parameters preserve a given property the optimization is based on using a transformation r that perturbs parameters in a way th...
this paper discusses a method to updateoptimise invertible matrices via lowrank updates the key property of the proposed method is that it keeps track of the matrix inverse and its determinant through the optimisation with updates that are much cheaper to compute than a direct inversiondeterminant computation while th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors assessed how these subnetworks can be as diverse as independently trained networks the contribution of this paper is in proposing an approach to improve uncertainty estimation and robustness with mi...
this paper proposes a simple but effective method to obtain ensembles of classifiers almost for free essentially you train one network on multiple inputs to predict multiple outputs the authors show that this leads to surprisingly diverse networks without a significant increase in parameters which can be used for en...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the author proposes an algorithm that improves dpsgd by using public data to identify a lowerdimensional space where the gradients lie in they show that the algorithm can provide a better convergence guaran...
based on the observation that the stochastic gradients for deep nets often stay in a low dimensional subspace this paper proposes projected differential private sgd dpsgd that performs noise reduction by projecting the noisy gradients to a lowdimensional subspace under certain assumptions the authors provide a theoreti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a new regularizer that can be plugged in gradientbased learning algorithms which aims at solving the problems induced by unobserved confounders and the authors provide the upper ...
this paper deals with domain generalization with causal modeling specifically it considers a broader class of distribution shifts arising from the system intervention perspective and proposes some robust learning principle to achieve domain generalization the paper is well written and has some interesting ideas however...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses the pretrained large model clip to transfer the language knowledge to the unseen labels for zeroshot semantic segmentation the idea is reasonable and coherent with previous works that distil...
the paper presents an approach to semantic segmentation based on text embedding of class labels this enables zeroshot semantic segmentation with class labels that were not seen during training i appreciate the new ablation against a resnet101 backbone i dont find the similarity with clip substantial and i recommend tha...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tries to address the question whether we can have different noise scale for different bits for a high dimensional vector and still preserves privacy they propose a method to do that the idea of t...
the paper proposes bitrand a bitaware randomized response algorithm to preserve local differential privacy in federated learning the main idea is to take into account the bit indices and prioritise higher order bits focussed towards achieving a utility which is higher than other algorithms which are oblivious to the fl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose two research questions 1 are adversarial examples distinguishable from natural examples and 2 are adversarial examples generated by different methods distinguishable from each ot...
the paper investigates an interesting question and points at a promising research direction in relation to whether adversarial examples are distinguishable from natural examples a concern raised in the reviews is that the technical contribution of the paper is weak a main concern with the paper is that the experiment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i took a look at the revision i am glad to see that the authors clarified the meaning of optimality and added time complexity for each algorithm the complexities of the algorithms do not seem great 3rd or ...
this paper proposed a method to reduce the memory of training neural nets in exchange for additional training time the paper is simple and looks reasonable its a natural followup with previous work the improvement over previous work is not significant with some overhead incurred in training time this is a borderline p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the article proposes an iterative procedure to compute wasserstein barycenters the parametrised barycenter is modelled as a latent distribution pushed forward by a neural network the authors study the rel...
this paper proposes a new iterative method for wasserstein barycenter based on a generator parametrization of the barycenter and fixed point method that alternates learning the generator and learning the ot maps from barycenter to measures the work is empirical and lacks theory but proposes a new image benchmark on ce...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach called controlled effect network cen for agents to predict the controlled parts of the environment cen is a dynamics model that separately predicts the controlled and normal ...
this paper presents an attempt to infer controllable aspects of the environment dynamics by imposing an architecture on a pixel prediction model such that the prediction is the sum of an actionaware and actionagnostic prediction trained on a fixed dataset gathered under a uniform random policy in such a way as to incen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary previous work studied maml and showed that representation reuse is the main contributing factor in performance and not representation change this paper first asks the question of whether representat...
the paper presents a new algorithm boil on the importance of representation change vs reuse in maml all reviewers found the paper insightful with some proposing a few changes to make the paper even stronger like them i recommend accepting the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a heterogeneous graph embedding method p2ir the authors first argued that such an embedding should be invariant to partial permutations of nodes then the authors gave a general formulati...
ar1 is concerned with the presentation of the paper and the complexity as well as missing discussion on recent embedding methods ar2 is concerned about comparison to recent methods and the small size of datasets ar3 is also concerned about limited comparisons and evaluations lastly ar4 again points out the poor compl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a learningbased system for calibrating the extrinsic pose of a robot arm and its end effector by using a depth sensor the approach collects depth segmentation labels in order for it to i...
dear authors thank you for submitting your manuscript to corl im happy to inform you that your paper has been accepted we have completed the review of your manuscript and a summary is appended below the responses from authors have addressed concerns of most reviewers the reviewers have advised accepting your manusc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this paper the authors propose a novel approach for quantifying the statistical significance of binary masks predicted by a subclass of deep neural network dnn models for image segmentation pro...
four reviewers evaluated your work and provided a detailed review with many suggestions i also think that there is an interesting idea and encouraging results but there is a lack of numerical results and still some parts are still unclear and need to be polished consequently in its current form the paper can not be ac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proses a new adversarial poisoning defense based on a known graph reweighting scheme known as the ricci curvature the ricci curvature assigns a weight to each edge that captures the grap...
the paper proposes a new defense against adversarial attacks on graphs using a reweighting scheme based on ricciflow reviewers highlighted that the paper introduces interesting ideas and that the use of riccicurvatureflow is a novel and promising contribution reviewers also recognized that the paper has significantly i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a theoretical investigation into and comparison between two forms of correcting biased data reweighting and resampling in particular since previous empirical analyses have suggested that...
the paper theoretically investigates two biascorrection methods reweighting and resampling it considers a very interesting problem and presents illuminating results the paper could benefit substantially from improving the experiments so that they clearly validate the theoretical results presented
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces film which stands for frequency improved legendre memory model for longterm time series forecasting the authors leverage legendre polynomials to obtain a fixedsized representation of th...
paper provides a time series modeling technique combining the use of legendre polynomials for projections and frequency based low rank approximation selection the reviewers found the paper to be interesting and the results convincing and possibly usable in other sequence modeling tasks some questions were raised by nn...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a new denoiser based on the gradient of a proposed trained regularizer to be employed within a plugandplay pnp framework which is claimed to have a convergence proof compared to other exi...
the paper proposes a plugandplay method for solving imaging problems plugandplay methods use a denoiser to solve linear inverse problems the paper proposes a plugandplay method and uses convex optimization tools from analyzing proximal gradient methods to provide convergence guarantees the algorithm is applied to a var...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a variant of multiinstance learning mil for biomedical entity extraction called abstractified multiinstance learning amil which uses entity type information to construct bags o...
this paper proposes a variant of the canonical multiinstance learning mil paradigm called abstractified mil amil motivated in particular by the task of biomedical relation extraction this paper presents a simple but clever approach to handling the long tail datasparse difficulties of distantlysupervised biomedical re ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method using cnns to emulate an implicit pde numerical solver this is a challenge since typical cnns in the literature have small support kernels that do not model longer range interac...
the submission received very good reviews with some minor concerns regarding clarity the reviewers were eager to hear more and so this submission would make a good spotlight talk for the workshop although not noted by the reviewers i would recommend clarification regarding the claim of the method working on a system o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of showing tight generalization bounds for randomized uniformly stable algorithms the key contributions are the following 1 the paper uses the framework of confidenceboostin...
confidence boosting via aggregating multiple run of algorithms has been used before the main result of the paper relies on a generic confidence boosting trick the authors for instance cite shalevschwartz et al 2010 theorem 26 in remark 4 of their paper and correctly point out that for deterministic algorithms like erm ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel framework cage causal probing of deep generative models for inferring the causaleffect relationship in deep generative models the treatment is implemented by moving linearly alon...
this paper proposes the framework cage causal probing of deep generative models for estimating counterfactuals and unitlevel causal effects in deep generative models cage employs geometrical manipulations within the latent space of a generative model to estimate the counterfactual quantities the estimator is written in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors answered my questions so i am increasing my score to 7 the paper presents a new defense for being robust to adversarial examples in nlp this is a very exciting topic and i am glad to see mor...
all three reviewers are positive and the authors have addressed essentially all the questions raised by the reviewers the main insight of the paper is clear and the empirical results are good so a spotlight is deserved
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a variational autoencoderbased architecture for binary code embedding for evaluation they construct a dataset by compiling source code in the ndss18 dataset they evaluate their approache...
strengths this paper applies deep learning to the domain of cybersecurity which is nontraditional relative to more common domains such as vision and speech i see this as a strength additionally the paper curates a dataset that may be of broader interest weaknesses while the empirical results are good there appear...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper study the effects of adding random features rf to graph neural networks gnn first it is shown that quite surprisingly adding random features makes gnn universal approximators of invariant function...
in this paper the authors show the effect of rni on the expressive power of gnn for the first time where the rni was initially proposed in sato et al 2020 overall i like the idea of random node initialization because it is simple effective and theoretically wellfounded the key concern was that the novelty over the sato...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a nonsmooth method to enforce individual fairness in gradient boosting to deal with the nonsmoothness of the model it restricts the optimal transport distance to that defined on an augme...
the paper provides a method to train boosted decision trees to satisfy individual fairness all of the reviews suggest that this paper is wellwritten and gives novel techniques for solving an interesting problem the authors have addressed most of the concerns raised by the reviewers during their response however the aut...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: positive the paper extends rml mapper with access to excel data it represents a solid piece of java engineering work although the chosen semantic representation approaches are not optimal the formatted t...
the paper presents an extension of the rmlmapper tool to cover excel features the three reviewers agreed that the contribution is relevant to the workshop and presents a solid work please take into account the comments provided to include them in the cameraready paper try to be clear if the work presents a demo or a sh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary from a theoretical point of view one might be tempted to believe that deep cnns are translation equivariant and their predictions are translation invariant in practice this is not necessarily true...
the reviewers are reasonably positive about this submission although two of them feel the paper is below acceptance threshold ar1 advocates large scale experiments on ilsvrc2012cifar10cifar100 and so on ar3 would like to see more comparisons to similar works and feels that the idea is not that significant ar2 finds eva...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper introduces a new type of classification model called the cascading decision tree the cascading decision tree is a rulebased classifier designed to have an overlapping hierarchical stru...
this paper introduces the idea of cascading decision trees the reviewers agree that this is a potentially novel and valuable idea but they also agree that the paper fall short in execution the paper would be substantially strengthened with more theoretical analysis more discussion of why cascading decision trees are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a corpus exmix and a model ext5 which extend work on multitask pretraining for large language models their exmix covers 8 families of supervised natural language processing tasks eg su...
this paper explores large scale supervised multitask training across 107 nlp tasks combined with selfsupervised c4 masked span infilling using the t5 sequencetosequence model the results improve over prior strong t5 baselines on several nlp benchmarks such as superglue gem and rainbow the papers main strengths are th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an extension of the arc dataset where tasks are labeled with naturallanguage descriptions that are sufficient for a human to generate the output grid given an input grid without any addit...
the paper addresses the important problem of program synthesis from human natural language instructions sufficient analysis is done on the collected dataset including annotation and data cleaning for quality assurance and the work is a valuable contribution to the program synthesis community based on the reviews i rec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a modification of hierarchical vqvae for video prediction task to model temporal dependency the encoder and pixelcnn in original vqvae are extended with 3d convolutions the propo...
while this paper was perceived as being fairly well written the level of novelty and the evaluation were seen as weak by many reviewers the aggregate opinions across reviewers is just too low to warrant an acceptance rating by the ac the ac recommends rejection
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a multiproduct purchase problem authors design an optimal ranking policy when the online retailer can precisely model customers behaviors most of the existing work assume that each custom...
the paper studies the problem of choosing a ranked list of products to show to consumers in a regret minimization model consumers are assumed to follow a certain search rule to purchase a subset of presented products and the goal is to maximize the revenue of the product listing under this search model the model makes ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes continuous query decomposition cqd a novel method for evaluating complex queries over incomplete kgs each variable of a logical query involving existential quantifiers conjuncti...
the reviewers unanimously agree that this paper is a strong accept it makes important progress in developing our ability to query relational embedding models
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a scheme to identify causal and spurious features with human supervision more specifically the method presented decomposes the activations that map to the logits of a supervised dnn into ...
the paper tackles the important problem of spurious feature detection in deep neural networks specifically it proposes a framework to identify core and spurious features by investigating the activation maps with human supervision then it produces an annotated version of the imagenet dataset with core and spurious featu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the oneshot domain adaption problem it decoupled adaptation into two parts style and entity transfer unlike most previous works that mainly focus on style transfer the proposed method u...
this paper focuses on the oneshot domain adaption of gan model the idea of disentangling style and entity transfer is simple and effective the metareviewer recommends acceptance of the paper and the authors are encouraged to take the reviews into consideration when preparing a final version of the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to equip modelbased deep reinforcement learning with posterior sampling for exploration where posterior sampling is approximated using a variational distribution approach one key...
this paper proposes to implement posterior sampling for reinforcement learning for mbrl using three types of noisy convolutional layers inspired by object and eventbased domain knowledge these layers are used to augment the simple agent kaiser et al 2020 resulting in the evadesimple agent and experiments demonstrate th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthis paper proposed several ideas to improve neighborhoodbased recommendation systems by characterizing user preferences using both rating data and item content information the 2 major proposed ideas ...
this paper proposed to improve hybrid neighborhoodbased recommender systems by incorporating learned useritem similarity overall the scores are towards negative the reviewers did acknowledge that the paper proposed a simpletoimplement method and reads well however the negatives are plenty the lacking of a comprehensive...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: sequential monte carlo smc has since its inception some 25 years ago proved to be a powerful and generally applicable tool the authors of this paper continue this development in a very interesting and natur...
this paper presents a new approach for posing control as inference that leverages sequential monte carlo and bayesian smoothing there is significant interest from the reviewers into this method and also an active discussion about this paper particularly with respect to the optimism bias issue the paper is borderline an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a defense against poisoning attacks using an outlier detection technique they develop using a notion of selfexpanding sets they assume a number of properties for inliers and outliers and ...
the paper presents a new defense against backdoor attacks based on the discovery of homogeneous populations in the training data and subsequent filtering of poisoned data due to its difference from the said populations the method has a solid theoretical foundation which however requires strong assumptions on attacks an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: interesting work the imbalance problem is essential problem for machine learning and its applications even though many works focus on foregroundbackground class imbalance problem such that polyp detectiontw...
the paper receives overall positive comments from four knowledgeable and independent reviewers they all like the novelty of the proposed work in addressing imbalanced sampling one of the most serious issues in medical image analysis however they also share the common concern that is lack of sufficient validation curre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new benchmark for studying generalization in deep rl along with a set of benchmark results the benchmark consists of several standard rl tasks like mountain car along with several mujo...
the manuscript proposes benchmarks for studying generalization in reinforcement learning primarily through the alteration of the environment parameters of standard tasks such as mountain car and half cheetah in contrast with methodological innovations where a numerical argument can often be made for the new methods per...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 this paper proposed to use svd to analyze the token uniformity across layers based on this observation they propose to use singular value transformation function by alleviating the skewness of the singul...
meta review this paper studies the token uniformity problem prevalent in transformerbased models namely all tokens ending up with similar information in the upper layers of the transformer it characterizes this phenomenon in terms of the singular value distribution of transformer layer outputs and proposes ways to alle...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes several architecture changes to a wavenetlike dilated convolutional audio model to improve performance for midiconditioned singleinstrument polyphonic music generation the experimental ...
the paper describes a wavenetlike model for midiconditional music audio generation as noted by all reviewers the major limitation of the paper is that the method is evaluated on a synthetic dataset the rebuttal and postrebuttal discussion didnt change the reviewers opinion
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper apply multi scale score estimates to outofdistribution detection they demonstrate the usefulness of multi scale estimates and adopt auxiliary model to identify outlier data the proposed method is...
there seems to be some disagreement between reviewers with some borderline scores and some very good scores after careful consideration of both reviews and answers and after reading the updated version of the paper with some detail i believe the approach is valuable the use of scores for detecting outofdistribution dat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors introduce a framework for sufficient conditions for proving universality of a general class of neural networks that operate on point clouds which takes as input a set of coordinates of p...
the paper presents a theoretical analysis of the expressive power of equivariant models for point clouds with respect to translations rotations and permutations the authors provide sufficient conditions for universality and prove that recently introduced architectures eg tensor field networkstfn do fulfil this property...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a differentiable metric for text generation tasks inspired by bleu and a random training method by the gumbelsoftmax trick to utilize the proposed metric experiments showed that the prop...
the paper presents a differentiable approximation of bleu score which can be directly optimized using sgd the reviewers raised concerns about 1 direct evaluation of the quality of the approximation and 2 the significance of the experimental results there is also a concern 3 regarding the significance of bleu score in t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written the work is well motivated the experiments considered in the paper are mostly lowdimensional datasets it would be good to consider more challenging highdimensional datasets it rem...
meta review the reviewers and myself agree that this is an interesting theoretical paper on characterizing the optimal in the sense of asymptotic sample complexity noise distribution for noise contrastive estimation though the results are mostly derived for simple data distributions eg gaussian some of the results are ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors identify an interesting empirical phenomenon across a range of network architectures and training approaches supervised unsupervised autoencoders the feature spaces identified by these networks ...
this paper presents an intriguing empirical phenomenon in deep learning they train a variety of architectures for different tasks using different datasets and study the relationship between the learned representations in particular they collect the representations into a large matrix and take the top left singular vect...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper examine optimization stabilities encountered during training of gpt2 models it demonstrates that as model size learning rate and batch sizes grow training dynamics of the model become unstable to ...
this submission proposes a simple way to improve the stability of training gpt2 increase the sequence length of examples over the course of training it is shown that this simple heuristic can result in using larger learning rates therefore significantly speeding up convergence reviewers agreed that this was a simple an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a learnable authors called dynamic threshold scheme and a moderate dropout method for snns the effectiveness of the proposed approach is reflected by classification tasks and densenet b...
this paper introduces an trainable threshold and a dropout variant to improve training of spiking neural networks there were serious issues raised by the reviewers primarily about 1 the idea of having trainable spiking thresholds being not new and 2 the paper providing insufficient computational validation the authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission is a theoretical paper which investigates a common belief in the community around the problem of the deadly triad regularization would prevent instability and divergence of td methods with f...
this paper presents a counterexampledriven analysis of regularization in td learning with function approximation despite the papers simplicity the reviewers unanimously though there was a good contribution being made here and i agree highlights include a clarity of presentation and new insights into what is known as t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to generate molecular graphs with optimized properties molecular graphs are constructed by the iterative addition of molecular fragments in a deep reinforcement learning framewo...
after discussion all reviewers are convinced about the novelty of the proposed method and adjusted scores to recommend acceptance they all appreciate the attempt to attack covid19 using machine learning
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents a number of empirical comparisons for the metrics on uncertainty estimation performance such as auroc ece with 484 imagenet classification models and has drawn some observations such as t...
as an empirical paper this paper studies uncertainty estimations with respect to various architectures and learning schemes three reviewers suggested acceptance based on the strength of the paper fairly extensive experiments were conducted and some new observations were discovered such as the superiority of vit on the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work provides a nice extension to the swav proposed by caron specifically it proposes a variant that can be used to build meaningful cluster assignment for different languages at the same time in an un...
overall reviewers are positive the majority praised the approach as novel and viewed the results as quite strong further reviewers valued the provided ablations and analysis that helped motivate the proposed method a few concerns were raised about overall clarity though some reviewers praised the clarity of presentatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors presented a nice piece of work in this paper towards improving deep model explainability through concept learning with prototypes the proposed method is designed to generate explanations that ar...
the paper is of good quality and presents an interesting approach to interpretability in a clear manner generally the paper is very well written and due to extensive ablations and experiments offers many insights into the relevant aspects of the proposed approach at the current stage the method might not be fully pract...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposed a soft spatial sequential topdown attention model which enable the agent and classifier actively select important task relative information to generate the appropriate output g...
1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the paper tackles an interesting problem makes a concerted effort to provide qualititative results that give insight into the models behaviour sufficiently cites related work 2 describe the weaknesses of the pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a full binarization of bert including 1bit activation called bibert the key observation of the paper is that binary activation becomes a big challenge for the attention weights in selfat...
this paper present a way to fully binarize a bert model the authors convincingly demonstrate that a naive binarization results in large quality losses and then propose amendments it is pretty impressive that it is possible to get a fully binarized model to work at all at the same time the quality losses are still signi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces an imitation learning algorithm that can take a single state from an experts trajectory in order to infer the goal of the task the idea is to train a reward function that explains both...
first as a procedural point the paper got 7 7 5 5 anonreviewer3 gave it a 5 but seemed satisfied by the discussion and promised to raise their score they did not do so but i must interpret their last messages as indicating they now support the paper anonreviewer2 the other 5 had some concerns that other reviewers seem ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes carlane a 3way simtoreal domain adaptation benchmark for 2d lane detection which encompasses the singletarget datasets molane tulane and the multitarget dataset mulane compensates for da...
the meta reviewer has read the paper rebuttal reviews and the authors revision the meta reviewer agrees with the reviewers that this lane benchmark is of interest to uda and the authors release the data tool and source codes to support their claimed contribution the meta reviewer thus recommends acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: general the authors propose the miniarc dataset which is inspired by the arc dataset by f chollet 2019 but every task has a small fixed gridsize they performed a study with humans to create groundtruth tra...
the paper key contribution is a nwe dataset miniarc similar to to the arc abstraction and reasoning corpus it consists of 5x5 inputoutput image pairs that can be used in program induction and applications one of the goals of the authors is to have a compact dataset that enables model learning to reason in human way...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the idea of languagemodel style selfsupervised learning approach to training logical reasoning models from unlabeled mathematical expressions the main idea is to develop a skiptree proxy ...
all reviewers find the idea of selfsupervised learning on mathematical reasoning with the proposed skiptree training interesting and gave the firmly positive scores the paper is clearly written and the experiments and the analysis are wellorganized particularly the ability of freeform conjecturing is quite thoughtprov...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a conceptbased explainability method craft to generate both global and local conceptbased explanations this paper introduces some key contributions 1 recursively decomposing higherlevel ...
reviewers generally agreed that this paper is innovative the decomposition of highlevel concepts into subconcepts in particular sets this paper apart from existing conceptbased methods and appreciated its potential practical utility for the explainability community for example by providing localization in input space i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider a classification setting in which a class label ct is to be predicted on the basis of time series observations x1 xt up to time t the goal is to maintain accurate prediction even as th...
this paper presents a reinforcement learning algorithm to target variable in every time step although the paper proposes an important problem in many realworld applications there were various major criticisms raised by reviewers most importantly technical novelty is not well motivated or justified there is also a si...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper deals with physical triggers for backdoor attacks physical triggers are realworld objects present in images at their creation and such backdoors have been shown to successfully evade existing defe...
the main contribution of the work is a versatile tool to generate natural backdoor datasets that can be used to benchmark future models and backdoor defenses the reviewers acknowledge that having a lowcost approach to generating these physical backdoor datasets is important since there is a typically a high cost to int...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: it is a well written short submission it offers a singlesubject analysis of rare cases for diagnostic purposes in contrast with group analysis the authors present promising results but the significance at t...
although reviewers have raised concerns in terms of novelty and validation most of them have given a positive evaluation i therefore recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a well written paper proposing a quantitative framework to expand the inferences that can be done in the study of the causal effects of task stimuli on brain signals the originality of the proposal ...
the authors develop two metrics for evaluating how different brain zones may be affected by the same stimuli the framework created shows promising results when applied to actual and simulated data this is a wellwritten paper with a particular application in mind it designs a framework for discussing causal effects for ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a method that combines variational gaussian processes with a neural network that produces inducing points and associated variational parameters depending on the evaluation location the ...
three reviewers recommend reject two reviewers recommend accept although do not champion the paper i believe the paper develops an interesting idea to better estimate the location of the inducing inputs in sparse gp models however i still think the paper would benefit from another careful revision and therefore i do no...