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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors aims to analyze the limitations of existing mpnns on performing link prediction specifically they identify that existing nodebased mpnns are not able to handle outofdistribution oo...
this paper makes a compelling contribution to the study of size generation in the inductive link prediction setting the authors extend previous results on size generalization for graph classification in a nontrivial manner and propose a new mpnn architecture with improved theoretical properties though the analysis is b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a modular network architecture for fewshot concept learning the architecture consists of imagetoscene module that maps input rgbd images to 3d scene features and an objectcentric disenta...
this metareview is written after considering the reviews the authors responses the discussion and the paper itself the paper proposes a system for learning disentangled objectcentric 3dbased representations of scenes and shows that the proposed model works well on several tasks including fewshot classification and vqa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose metods meta optimized dynamical synapses a metarl algorithm that learns by updating its weights through interaction with the environment and its own current weight state the update rule ...
this is exciting work that demonstrates the ability of selfmodifying networks to solve metareinforcement learning problems the reviewers all agree that this is strong work and the authors have convincingly addressed most of the concerns the reviewers brought up during the reviewing phase there are a few lingering quest...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a novel 2stage technique to improve the classification accuracy of feedforward anns in particular after the feedforward pass a socalled introspective stage occurs the goal of which is t...
the reviewers all appreciated the novel concept behind the work i agree with this i think the principles behind the work are novel and interesting and i would encourage the authors to improve the validation of this method and publish it in the future however reviewers also raised a number of issues with the current pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a framework for dpsco and dpsmo such that any nonprivate algorithm with a certain convergence guarantee can be plugged in for smooth dpsco it achieves the first near optimal guarantee wit...
this work studies minimax optimization for convexconcave objective it studies the population loss version of this question and shows linear time differentially private algorithms for this problem that achieve the optimal privacy utility tradeoff the algorithm is based on the phased erm approach the reviewers were in ag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes autoencoder architectures based on cohenwelling bases for learning rotationequivariant image representations the models are evaluated by reconstruction error and classification in the sp...
this paper studies group equivariant neural network representations by building on the work by cohen and welling 14 which introduced learning of group irreducible representations and kondor18 who introduced tensor product nonlinearities operating directly in the group fourier domain reviewers highlighted the signific...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary modelbased rl that work on pixelbased environments tend to use forward models trained with pixelwise loss rather than using pixelwise loss for an actionconditioned video prediction model forward mod...
the paper presents an action conditioned video prediction method that combines previous losses in the literature such as perceptual adversarial and infogan type of losses the reviewers point out the lack of novelty in the formulation as well as the lack of experiments that would verify its usefulness in model based rl ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers using a gan to generate synthetic data in a differentially private manner see also httpswwwbiorxivorgcontentearly20180605159756 the key novelty is the integration of the pate different...
this paper improves upon the pategan framework for differentiallyprivate synthetic data generation they eliminate the need for public data samples for training the gan by providing a distribution which can be sampled from instead the authors were unanimous in their vote to accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes two variants of stochastic gradient algorithms without replacement for smooth functions satisfying the p condition the authors showed that the proposed shufflingbased variants converge f...
this paper analyzes local sgd under the random reshuffling data selection setting as is the case for standard random reshuffling better rates are shown for local sgd when random reshuffling is used this would already be a nice contribution to a line of work on random shuffling methodsbut the paper goes beyond that by s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose a framework to obtain the disentanglement of syntactic roles as latent variables for sentence representations the model is an attentiondriven vae which maps syntactic roles to separate la...
this paper proposes improving human interpretability and manipulability of neural representations by obtaining syntactic roles here subject object prepositional object and main verb without supervision by means of them becoming linked to latent variables in a novel proposed attentiondriven vae advae model which provide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an rl algorithm to learn a policy in a constrained setting without violating the safety constraints it relies on an initial baseline policy to collect data for the first episodes eventua...
i went through the paper reviews and responses this is a borderline paper with reasonable theoretical analysis but weak experimental results lack of comparisons to practical safe rl algorithms is not an advantage i tend to accept im also ok with a borderline reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to this reviewers understanding the proposed method is very similar or equal to the conditional vae the only difference comes from the way of involving the condition information during training ### Summar...
this paper proposes using conditional vaes for multidomain transfer and presents results on celeba and scut as mentioned by reviewers the presentation and clarity of the work could be improved it is quite difficult to determine the newproposed aspects of the work from a first read through though we recognize and apprec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new method called fourier temporal state embedding the motivation for this approach is unclear and should be appropriately justified in the abstract and introduction the claim appears ...
the paper proposes fourier temporal state embedding a new technique to embed dynamic graphs however the paper needs to be improved in writing computational complexity analysis and more thorough baseline comparisons
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work aims at advancing nighttime flare removal and proposes a new dataset called flare7k based on the proposed dataset extensive experiments are conducted which demonstrates that the proposed dataset c...
this paper propose a new nighttime flare hazard dataset the synthetic dataset enables to obtain ground truth which is otherwise very difficult in real scenes all reviewers are satisfied with the quality of the paper only one reviewer recommends marginal below acceptance and the concerns are minor the concerns has been ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes certified fairness as the worst case prediction loss on a distribution q such that dpq leq rho where p is the training distribution the proposed definition is analyzed in two different ca...
the paper considers an important problem of certifying fairness of trained classifiers based on its performance on some set of fairness constrained distributions they show the framework for two types of shifts sensitive shifts and general shifts reviewers are supportive of acceptance there were many concerns raised by...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies how different forms of label noise affect the performance of ml classifiers it is argued that the most benign form of label noise is uniform noise independent of features and labels and t...
the authors provide an interesting perspective on robustness by looking at how different forms of label noise affect performance although some of the results are unsurprising given the literature providing theoretical justification for empirically observed phenomena is an important contribution that could promote new i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new approach to universal value functions in reinforcement learning by decomposing monolithic universal value functions into two components and exploring different ways of combining the...
this paper proposes a new bilinear decomposition for universal value functions the bilinear network has one component dependent on state and goal and another component that depends on state and action the experiments with the ddpg algorithm in robot simulations show that the proposed architecture improves performance...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a study on audio adversarial examples and conclude the input transformationbased defenses do not work very well on the audio domain especially for adaptive attacks they also point out th...
the authors present a study characterizing adversarial examples in the audio domain they highlight the importance of temporal dependency when defining defense against adversarial attacks strengths the work presents an interesting analysis of properties of audio adversarial examples and contrasts it with those in visi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a framework for detecting incorrect visual demonstrations for imitation learning the framework first performs temporal segmentation of subtasks then it uses a maximum entropy model to ...
paper proposes a method to identify suboptimal demonstrations the main idea is following use an offtheshelf video segmentation algorithm identify key spatiotemporal features within each segment from what i understand next task prediction pt s is used to calculate if the subtasks are in the right order which is a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of sparsifying directed graphs a timely task of importance in many applications the main contribution is the proposal of a unified approach for spectral sparsification of su...
the paper proposes a fast nearlylinear time algorithm for finding a sparsifier for general directed and undirected graphs that approximately preserves the spectral properties of the original graph the reviewers appreciated the main contribution of the paper but they were concerned about the correctness and clarity of t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a benchmark dataset hwnasbench for evaluating various neural architecture search algorithms the benchmark is based on extensive measurements on real hardware an important goal with the p...
this paper presents a new nas benchmarks for hardwareaware nas for each of the architectures in the search space of nasbench201 it measures hardware performance energy cost and latency for six different hardware devices this is extremely useful for the nas research community since it takes very specialized hardware dom...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a propagation method to estimate rnn dynamic parameters during the learning process the algorithm is introduced well and the paper is clearly written the paper misses a related work se...
this paper introduces a method to estimate dynamics parameters in recurrent structured models during the learning process all three reviewers agreed that the idea is interesting and the proposed method could be potentially useful however two of the three reviewers have a serious concern about the lack of comparison wit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the problem proposed and studied by the paper is interesting and well motivated 2 the proposed feature selection framework sounds reasonable and the authors show that the empirical estimator of wcmmd can ...
meta review this work proposes a method for selecting features that are important for explaining treatment effect heterogeneity unlike most existing works the proposed approach is able to detect features that drive differences in the conditional distributions of counterfactual outcomes across treatments rather than onl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a latexbased language and compiler called kokoyi to write mathbased models and compile them to actual code such as pytorch the authors present an approach to support optimizations such as...
this paper proposes that ml models might be better expressed in a way closer to their mathematical representation than to python code this is an attractive proposition but the papers development of this proposition is that models might best be expressed in latex which is not a hypothesis that the reviewers consider pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the main idea of the paper is how to use the pretrained generator network of gan to improve the downstream task of classification specifically the paper use with vicregbased method to train the network s ca...
while there were initial concerns about the tasks used for evaluation the authors did extensive extra experiments and satisfied many of these concerns
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper demonstrates that the loss gradients are inherently linked to rnn dynamics when rnn dynamics converge to a fixed point or cycle the paper shows that loss gradients will remain bounded when rnn dy...
this paper studies the ability for an rnn to learn the dynamics of a chaotic system the authors relate the learning dynamics for these systems to the lyapunov exponents of the underlying dynamical system they then propose ameliorating the role of chaotic dynamics by sparsely forced bptt which forces the rnn hidden stat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the neuralcollapse nc phenomenon for data with class imbalances the authors study two versions of the unconstrained feature model ufm which is a theoretical model for studying neural colla...
this work makes interesting contributions toward understanding the geometric properties of welltrained neural networks by analyzing the neural collapse phenomenon on imbalanced datasets the proposed seli is novel i encourage the authors to increase the practical impact of the results by conducting experiments with more...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have built a platform for assisting medical residents and their supervising doctors in keeping track of their progress toward different milestones the system was designed over multiple iteration...
the reviewers are in agreement that this is a wellmotivated paper and should be accepted as r1 mentioned the contribution does not lie in a novel visualization but rather in the process insights and patterns learned during the design and evaluation process the reviewers also agreed that the design implications sectio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors proposed a new dag constraints based on the logdeterminant of the adjacency matrices compare to the original polynomial based dag constraints the new dag constraints do have some good properties...
overall reviews for this paper are quite positive the paper presents an interesting and effective new approach to incorporating a dag constraint into an optimization problem by using a characterization of dags in terms of the logdet function during discussion the reviewers raised several important questionspoints for ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper focuses on estimating when stochastic gradient dynamics have reached a stationary phase by considering the inner product of pairwise stochastic trajectories referred to as threads the cho...
this paper proposes to automatically determine when the sgd stepsize should be decreased by running two threads of sgd for a bunch of iterations divide those into windows and then look at the average innerproduct of the gradients in the two threads in each window if the innerproduct tends to be high that indicates that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the modality greediness of learning in multimodal deep neural networks dnns the authors hypothesize that multimodal dnns learn to rely on one of input modalities it could learn faste...
paper this paper presents analysis of crossmodal interactions in multimodal models and propose a method to help balance the multimodal learning process the crossmodal analysis is based on measures related to conditional utilization rate and the proposed approach is related to conditional learning speed discussion the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes an sde solver for the reverse diffusion process in score based generative models the paper is well written and within the scope of the workshop questions why is the only abla...
all reviewers recommend acceptance the authors might want to consider incorporating suggestions on additional ablations discussed by the reviewers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a homotopy approach for minimizing finite sum optimization problems the idea behind hsgd is to gradually solve a more and more similar problem to the original one using sgd and...
the authors provide a homotopy framework for sgd in order to exploit structures that arise by construction such as pl i very much liked the delineated homotopy analysis which is general ie as opposed to simply adding a quadratic the authors consider a homotopy mapping while the algorithm should not be considered new it...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the goal of the paper is to bring into attention that many normbased pruning criteria used for structured pruning are very similar in that their ranking of the redundant filters is highly correlated...
the paper works towards analysis to understand the difference and primarily the lack thereof between different pruning methods the central observation is that the convolutional filters in a layer are not strongly correlated and if the weights of the layer are taken as a matrix then the covariance matrix is block di...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a mixture of experts framework is proposed that uses a dynamic weight mlp with positiondependent weights for solving various coordinate based tasks such as signal fitting novel view synthesis and generative...
this paper presents a framework for positiondependent mlps where the weights in each layer depend on the input coordinate periodically with hierarchically tiled periodic weight patterns across successive layers the paper shows that such models outperform prior work on a variety of tasks involving data representation th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces sdrl a representation learning algorithm for supervised learning sdrl aims to enforce three constraints to the learned representation gx 1 that all the information from x about y is p...
this paper aims to present a new representation learning framework for supervised learning based on finding a representation such that the input is conditionally independent given the representation the components of the representations are independent and the representation is rotationinvariant while there were both p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper uses a multiagent reinforcement learning algorithm to simulate an economic environment and solve the general equilibrium of the induced game the authors propose to use a structured learning curri...
the authors propose a deep multiagent rl framework to compute equilibria in a economics problem several reviewers raised issues with the presentation as well as issues with evaluating the impact of the work partly because the novelty of the approach is made insufficiently clear while the authors have resolved some of t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new objectcentered framework to unify visual tasks including object detection key point detection and multilabel classification different from the previous pix2seq method this paper di...
the paper proposes an approach for formulating a few visual tasks as sequence prediction with class prompt reviewers are overall positive about the paper especially the direction towards a unified vision model where the paper is exploring however it is also pointed out the paper should be more explicit about how the se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes heterogeneousagent trust region policy optimisation hatpro in which 1 agents do not share parameters 2 there is no assumption on the decomposability of the joint value function two adap...
the submission proposes a new approach to deriving a policy gradient type algorithm for multi agent rl marl where the agents are interested in a common objective but with potentially different action spaces it extends the monotone improvement property for single agent trustregion based methods like trpo to a multi agen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a method to compute correspondences from shapes with application for shape registration shape interpolation and unsupervised segmentation transfer the authors use an implicit meshless sh...
this paper presents a creative approach to shape registration that incorporates a new parameterization of the deformation field all authors and the ac agree the results are convincing and that the method presents novel and interesting ideas the only borderline negative review by reviewer 86v4 seems to be welladdresse...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: originality the paper provides a new idea and method exploiting stability in shape was not exploited before to detect causal relationships as far as i know but fonollosa 2019 the notion of conditional diver...
the authors propose an observational bivariate causal discovery method when it is assumed that the conditional distribution of the effect given the cause has the same shape for any value of the cause using a conditional divergencebased causal score all reviewers felt the paper is well written and the contribution is ad...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work analyzes the key factors or indicators behind the successful identification of winning tickets in lottery ticket hypothesis lth that is the flatness of the trained models and the closeness of the ...
overall the paper analyzes the key factors or indicators behind the successful identification of winning tickets in lottery ticket hypothesis lth reviews the paper received four reviews strong accept absolutely confident accept absolutely confident accept confident and reject less confident it seems that there are at ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is full of new interesting ideas in particular that of using and learning effects rather than coarser level states or options for hrl all of the paper however relies on a precise definition of eff...
the paper proposes a method for using and learning controlled effects for hierarchical reinforcement learning the paper uses controllable states as goal an interesting aspect of the proposed method is that it allows learning a model of the world that considers only controllable aspects of the environment and hence faci...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces digrac a novel gnn approach for clustering based on the edges that are not present in a digraph the architecture achieves this by finding node embeddings for digraphs that directly max...
the authors propose a new algorithm for clustering direct networks the key idea behind the paper is to introduce a new flow imbalance measures and a new selfsupervised gnn model to solve the task overall the paper is interesting and it introduces some new ideas although it needs additional work before being published ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper aims to design a fair representation learning method to achieve this goal the authors have proposed a normalization flowbased method where an adversarialbased strategy is leveraged to train the m...
this paper addresses fair representation learning with the aim of obstructing the recovery of sensitive features from the learned representation hence enforcing the fairness of subsequent prediction tasks in the setting where probability density can be estimated for sensitive groups fair normalizing flows fnf tries to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new ganbased algorithm for time series synthesis they use progressive growing of gan architectures to improve the performance of gan and selfattention to enhance the expressive capabil...
this paper adapts the idea of progressive growing of gans to time series synthesis the reviewers thought that the idea was well motivated drp7 initially expressed concern wrt novelty they were also concerned with the lack of certain baselines the authors responded highlighting its contributions wrt evaluation contextfi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses known limitations of the expressiveness of message passing neural networks mpnns key idea is to generate subgraphs from the original graph to encode each subgraph with a gnn and to aggre...
improving the expressiveness of gnn is an important problem in the current graph learning community its key idea is to generate subgraphs from the original graph then encode the subgraphs into the message passing process of gnn the proposed method is proven to be strictly more powerful than 1wl the authors also quantiz...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is wellwritten and easy to follow in most parts the proposed method achieved a supervisor performance compared to the baseline histnet and a number of deep learningbased models the effectiven...
the paper presents an improved version of an existing model from the same group histnet and shows some improvement across several datasets despite the fairly incremental contribution of this paper reviewers generally pointed out that it has some value and that it might be interesting for the midl community
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents an interesting exploration of learning optimal data sampling probability it is formulated with a population based training strategy to this end authors propose to record the data frequenc...
the work focuses on a new method for sampling hyperparameter based on an populationbased training schedule that tend to sample more often configurations that gave good performances in the past the authors have conducted experiments to verify the superior of their method especially for the effectiveness and generalisabi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents aims to present a method for decomposing a cad sketch into a set of of modularconcepts that are learned from a large corpus of cad sketches the modular concepts are compostions o...
as summarized by reviewer 5g2f this paper proposes a novel learningbased approach to discover the modular concepts ie modular structure from raw cad sketches to tackle the problem the authors first define a domain specific language dsl such that modular concepts can be represented in a networkfriendly manner a transfo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: title intelligent matrix exponentiation summary of the paper the idea is to use the matrix exponential as a layer in a neural network this basically requires transforming to a latent variable which has a ...
this paper was reviewed by 4 reviewers who scored the paper below acceptance threshold even after the rebuttal reviewer 4 is concerned about motivation reviewer 2 rightly points out that there exist numerous works that use some form of spectral layers in a deep setting on challenging datasets something lacking in this...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces the idea of adding small incremental changes to grid world levels to create an automatic curriculum for navigating agents strenghts the idea is straightforward the paper is wellwri...
this paper tackles the problem of unsupervised environment design to train more robust agents the proposed method trains rl agents by generating a curriculum of training tasks to enable agents to generalize to many tasks the key contribution is an algorithm to generate this curriculum by incremental edits of the grid w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on the problem of 3d reconstruction of animals from a monocular video the proposed method is claimed to be categoryagnostic which means they can deal with different categories such as dog...
the paper shows how to combine 3d model retrieval with an inverse graphics framework to recover 3d models of a diverse range of animals from video the paper also introduces a new dataset of 3d animals that is projected to be of value in future works while one reviewer considers the technical problem to be an enginee...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to incorporate prior information about the optimum in the standard bayesian optimisation bo setting the prior is specified as a smooth function over the range having high values ...
this paper investigates bayesian optimization where a prior distribution over the optimal is available the authors conducted a systematic study on a very intuitive prioraugmented acquisition function that multiplication the prior probability with the ei heuristic including an asymptotic analysis on the regret comprehe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a linesearch for optimizing deep neural networks the method is rather unprincipled and quite close to the approach proposed in vaswani et al 2019 i do not think that the paper proposes n...
this paper proposes an empirical method to automatically schedule the learning rate in stochastic optimization methods for deep learning based on linesearch over a locally fitted model the idea looks interesting and promising but the reviewers have serious concerns in the lack of principled support and insufficient emp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a meta algorithm to improve the robustness of learning methods under noisy labels the idea is to squeeze out the negative effects of noisy labels actively the paper trains deep neural ne...
the paper presents an approach to mitigate the presence of noisy labels during training by trying to forget wrong labels reviewers pointed out a few concerns including lack of novelty lack of enough experimental support and lack of theoretical support authors have added some experiments and details about the experiment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: representation learning for chemistry and molecules in specific is an emerging area in deep learning in this work the authors propose a framework and then a model to generate low energy 3d conformations of ...
this work introduces fragmentbased datadriven model for molecular conformation generation the method has a segmentation that breaks each molecule into several fragments and then learns a joint probability distribution over the fragment configurations and dihedral angles between fragments with a markov random field whic...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper explores leveraging adapter in vision transformers similar to adaptertransformer in nlp this is done by replacing the mlp layer in each transformer block with a adaptermlp module in finetuning on...
authors introduce lightweight parallel fc layers to the mlp layers for finetuning freezing all other parameters of the model experiments across 5 datasets 3 image cifar100 svhn food101 2 video ssv2 hmdb51 show that performance is similar to fullfinetuning while changing less than 2 of the parameters some performance i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides theoretical results that favor mle estimators in terms of the excess square loss risk compared to empirical risk estimators under mild assumption in particular the paper devises an estim...
this paper has been independently assessed by three expert reviewers the results place it at the borderline of acceptance decision while one of the reviewers gave it a straight accept evaluation two others assessed it as marginally rejectable even after discussion with the authors all of the reviewers agreed that the t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of the paper address the problem of clickthrough rate ctr prediction customized to different instances they propose an adaptive parameter generation apg method for generating weight matrices in ...
the paper focuses on the application of clickthrough rate ctr and proposes inputaware model parameters which are dynamically generated in order to boost representation power of deep ctr prediction models to reduce time and memory complexity the method decomposes the parameters and dynamically generates only part of the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed to learn object representations that can utiltize the category informations for perception and reasoning in reinforcement learning experiments on two rl benchmarks show clear improvement...
this paper received three positive reviews and one borderline reject in the rebuttal the negative reviewer did not propose a response but the authors have given detailed responses to the problems and the other reviewers did not propose further concerns thus taking the comments of the reviewers into account the ac decid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a speech synthesisingbased attack ssa framework that generates audio examples entirely from scratch to attack automatic speech recognition asr systems a conditional variational autoencod...
this paper introduces a way of generating adversarial speech samples to attack an asr system based on speech synthesis the proposed approach by the name of speech synthesizing based attack ssa does not rely on real speech to create adversasial samples but rather create them purely from text using a conditional varia...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i think this dataset may be adopted by the community as a new tabular fairness benchmark which will be a very useful contribution however i have a major concern regarding potential implicit bias in the orig...
this contribution releases synthetic data generated by a gan from a realworld bank fraud dataset to provide 6 datasets each with 1m instances for studies of machinelearning fairness the submission generated many discussions between authors and reviewers it could play an important role as it would contribute to fairness...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a deeplearning approach called re3writer to imitate the clinicians working patterns for automatically generating patient instructions at the point of discharge from the hospital streng...
the authors propose and evaluate a method to automatically generate patient instruction drafts there was a consensus amongst reviewers that this is an interesting application while the technical innovation here may be modest the empirical results firmly establish the benefits of the proposed re3writer approach the ab...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new clustering algorithm for persistence diagrams they use fuzzy c means clustering the motivation for fuzzy clustering is that it allows each datum persistence diagram to have weighted...
this paper is overall clearly written and the proposed approach of performing clustering on the space of persistence diagrams can be a significant contribution however during the discussion the reviewers share the concern about insufficient empirical evaluation in particular datasets are limited and lacombe et al 2018...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper shows turing completeness of two modern neural architectures the transformer and the neural gpu the paper is technically very heavy and gives very little insight and intuition behind the results r...
this paper provides a theoretical analysis of the turing completeness of popular neural network architectures specifically neural transformers and the neural gpu the reviewers agreed that this paper provides a meaningful theoretical contribution and should be accepted to the conference work of a theoretical nature is a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors proposes a novel scheme named ecaq for learning an explicit creditassignment scheme for ctde tasks which in its theoretical form should converge to the optimal solution and also em...
this paper provides an interesting method to address the ctde problem in marl while the experiments are promising the theory is either insufficient or not rigorous one of the reviewers believe that there is a flaw in the paper there was an extensive discussion among the authors and the reviewer the authors could not co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a generalization of the invariant risk minimization objective to the continual learning setting where environments are observed sequentially an admm strategy for the solution of ...
the authors address the problem of learning environmentinvariant representations in the case where environments are observed sequentially this is done by using a variational bayesian and bilevel framework the paper is borderline with two reviewers r2 and r3 favoring slightly acceptance and two reviewrs r4 and r1 favor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the problem is relevant and interesting the text is well written and mostly understandable an improvement is made over earlier work darwiche 2020 being more optimal in finding causal treewidth shoul...
meta review i think this paper is important and that as some reviewers point out not an easy read probably the authors and most of us do were in a rush to submit the paper and neglected a certain care in making the paper somewhat more accessible they also somewhat did not properly highlight the originality compared to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a series of new datasets and task and investigates the inductive bias of seq2seq models for each dataset at least two hidden hypothesis could explain the data the tasks investigated are...
this paper proposes a set of synthetic tasks to study and discover the inductive biases of seq2seq models authors did a great job in convincing all the reviewers except r5 in their rebuttal i do not find any serious concerns from r5s review i personally think this is a very useful analysis paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper discusses an approach to augment a medical imaging dataset using images from another modality the images in the other ie source modality should have been originally collected labeled to ...
the paper proposes a method for data augmentation by crossmodal data generation while the reviewers agree that the paper addresses a relevant and important problem in medical imaging they also agree on that the paper has limited novelty over the state of the art also the setup of experimental validation to comparison m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes adafocal an adaptive focal loss that modifies the focal loss hyperparameter gamma for different sample bins based on historic values of gamma and the models perbin calibration properties ...
prior work has shown that training with focal loss improves the uncertainly calibration of the models in this work authors show that the adoptive choice of the hyperparameter used in the focal loss would further improve the calibration extensive empirical results showed in the paper suggest that the proposed method ada...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests a learningbased algorithm for sparse recovery where the goal is to recover a latent sparse parameter vector from observations say in the basic setting of sparse linear regression the obse...
dear authors the paper was received nicely and discussed during the rebuttal period there is consensus among the reviewers that the paper should be accepted this paper does contribute solidly to a timely topic of theoretical understanding of sparisty recovery with deep unroling the original version had very limi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper reevaluates wmd and identifies issues with the original paper it shows that the gain from the original paper is not the product of wmd but the normalization when the normalization is controlled w...
the authors conduct extensive experiments to show that there were some errors in the original claims of the wmd paper and as opposed to what was claimed in the original paper wmd does not outperform simpler baselines like bow and tfidf the authors claim that this is significant because wmd is widely used in the literat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper focuses on architecture design for spatiotemporal modeling for forecasting tasks the paper first proposes three types of layers ie s2t t2s sts which have emphasis on modeling spatial temporal and ...
this paper presents a framework for spatiotemporal sequence analysis the framework contains spatial temporal and spatiotemporal building blocks and is operationalized in an architecture search approach the reviewers considered the authors rebuttal and engaged in further discussion regarding the merits of the paper t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on semisupervised node classification with noisy node labels the authors propose a novel learning objective called the pairwise interactions which encourages node pairs holding positive p...
the paper studies the noisy labels problem in semisupervised node classification and proposes a method that leverages pairwise interactions to explicitly force the embeddings for certain node pairs to be close to each other leading to better robustness the reviewers agreed the proposed method is promising however the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for learning how to explore environments the paper mentions that the exploration task that is defined in this paper can be used for improving the wellknown navigation tasks for ...
the authors have proposed an approach for directly learning a spatial exploration policy which is effective in unseen environments rather than use external task rewards the proposed approach uses an internally computed coverage reward derived from onboard sensors the authors use imitation learning to bootstrap the trai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new nnsearch algorithm that reaches the peak performance on tpus the paper is based on observations of hardware architectural properties and the so called roofline performance model the...
the authors design an efficient implementation of nearest neighbor search on a tpu accelerator unit the implementation is motivated by a refined roofline performance model that takes into account the memory and instruction bottlenecks that are found to be significant and that are not typically optimized for empirical r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper gives a new algorithm for the setup where the test distribution is different from the train distribution the setup includes multiple groups whose information is present during the training time bu...
the manuscript proposes a method for addressing spurious correlations and subpopulation group shift problem by modelling intergroup interactions past work groupdro focuses on the worst group which is subject to failure when groups have heterogeneous levels of noise and transfer this work focuses on the group whose grad...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies balancing average case and worst case performance in a multitask setting the authors propose a new algorithm that extends the group dro algorithm by 1 taking task interactions into accou...
in general the reviewers recognized the importance of the question and the innovation in the proposed algorithm but do not seem to be super excited about the overall contribution of the paper one or two reviewers did not seem to respond authors response after the acs reminder the ac read the reviews and responses and o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as a validationapplication paper the topic multi source domain adaptation is potentially of broad interest to a wider audience even beyond rsfmri analysis mitigating batch effects is an important area of s...
as noted by most reviewers as a validationapplication paper a specific emphasis should be given to provide a rigorous experimental design however this crucial part of the paper appears quite unclear and the possibly dubious and not clarified way the hyperparameters are tuned make the current results difficult to accept...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of lpregression ie given an ntimes d matrix a and a vector binmathbbrn compute an approximation tildexinmathbbrd such that atildexbp 1epsilonminxinmathbbrd axbp in particul...
dear authors the paper was received nicely and discussed during the rebuttal period there is consensus among the reviewers that the paper should be accepted the new result about query complexity of regression problem that the authors have added along with the result on for noisy vandemonde matrix these make the pa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the contributions of the paper center on i the introduction of diffusionrelated tools for studying classifier decision boundaries and ii using those tools to connect decision boundary geometry adversarial r...
four reviewers have reviewed this paper and after rebuttal they were overall positive about the proposed idea we congratulate authors on the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a defense against adversarial examples the idea of the defense is to counteract transformation generated by pgd attack this is done by running one step of pgd on network input several tim...
this work is attempting to develop a new way to train models that are robust to lpbounded adversarial perturbations and to do so in a way that departs from the tools successfully used for this purpose in the past this is a worthwhile aspiration however as pointed out in the commentsreviews there are significant problem...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the experiments support the conclusion from multiple angles the paper is easy to understand the inverted dataset is constructed adversarially and may not really represent the true dataset models that are...
meta review the paper investigates similarity between representations learned by different neural networks on the same task the paper presents two main findings previously used methods to quantify representation similarity based on feature correlations for the same inputs have a flaw that can be explained theoreticall...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a benchmark for using machine learning to solve pdes the pdes considered vary from relatively simple to complex in addition to the data the authors provide a framework for data generation...
the paper proposes a new benchmark consisting of a variety of pde problems almost all the reviewers appreciated the extensiveness of the problems included timeindependent 13d etc there is code for generating data training baseline models recording variety of metrics all the qualities that make for a complete and usefu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel method for sampling examples for experience replay it addresses the problem of having inbalanced data in the experience buffer during training the authors trained a density model ...
the manuscript describes a procedure for prioritizing the contents of an experience replay buffer in a uvfa setting based on a density model of the trajectory of the achieved goal states a rankbased transformation of densities is used to stochastically prioritize the replay memory reducing the sample complexity of rl ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a scalable ensemble training with random gated block to enhance the model adversarial robustness 1 the random gated block enable the efficientscalable model ensemble but the introduced r...
the paper proposes a stochastic network named ensebmleinone eio to increase adversarial robustness eio replaces the layers in a given architecture by so called random gated blocks rgbs in which a random gate switches between multiple copies of the original layers by sampling from the random gates different subnetworks ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in learning procedural abstractions and evaluating discrete latent temporal structure the authors develop a hierarchical bayesian model for patterns across time in video data they also introduce new metrics...
while the reviews of this paper were somewhat mixed 764 i ended up favoring acceptance because of the thorough author responses and the novelty of what is being examined the reviewer with a score of 4 argues that this work is not a good fit for iclr but although tailoring new metrics may not be a common area that is e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: given that in qlearning the bellman error which we optimize involves the target q values with everchanging parameters two major approaches have been proposed to address the instability 1 have a copy of a sl...
this paper presents a simple reasonable alternative to target networks given the effectiveness of target networks and the fact that they are still somewhat poorly understood this is a good topic for consideration it is unfortunate that the paper did not have more depth in terms of analysis andor analytical experiment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a system to play ccp using some deep learning the system consists of three modules the bid module which is rule based and the policy and kicker networks which are simple convolutional ...
the paper presents a cnn that is trained from human games to predict which actions to take for china competitive poker dou dizhu the paper is poorly written not because of the english but because it is hard to understand the details of the proposed solution it is not straightforward to reimplement a solution from the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of paper this paper draws links between three common regularisation methods for continual learning ewc mas and si it shows that mas and si approximate the absolute fisher matrix the authors provide...
the paper proposes a unification of three popular baseline regularizers in continual learning the unification is realized through a claim that they all regularize surprisingly related objectives the key strengths of the paper highlighted by the reviewers were 1 the established connection is valuable and interesting ev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the need for graph outofdistribution datasets and a systematic graph ood benchmark they curate 8 datasets goodhiv predicting hiv inhibition from a realworld molecular dataset goodpcba g...
this paper proposed a benchmark for outofdistribution generalization in graph data the problem is interesting and the authors made a lot of efforts in addressing the reviewers comments i do think the authors addressed most of the reviewers concerns in addition graph ood benchmark can indeed benefit the community which ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i think this dataset may be adopted by the community as a new tabular fairness benchmark which will be a very useful contribution however i have a major concern regarding potential implicit bias in the orig...
this contribution releases synthetic data generated by a gan from a realworld bank fraud dataset to provide 6 datasets each with 1m instances for studies of machinelearning fairness the submission generated many discussions between authors and reviewers it could play an important role as it would contribute to fairness...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary this paper tackles the problem of modeling monotonic and nonmonotonic reasoning rules in different embeddings spaces mostly vectors but under different score functions used by the vector embed...
this paper presented a theoretical analysis on the representation capacity of entity embeddings based on their attributes ie modeling the semantic dependencies between attributes in particular monotonic and nonmonotonic attribute dependencies in general the reviewers appreciate the theoretical contribution of this pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes generative adversarial networks regularized by determinantal point process dpp to learn diverse data space dpp is a probabilistic model that encourages the diversity between the dataset ...
the paper proposes gan regularized by determinantal point process to learn diverse data samples the reviewers and ac commonly note the critical limitation of novelty of this paper the authors pointed out to the best of our knowledge we are the first to introduce modeling data diversity using a point process kernel t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose two key ideas the first is the idea of using the ucb algorithm to identify strong feature interactions in a computationally efficient way each set of interacting features is an arm that ...
this paper tackles the problem of feature interactions identification in blackbox models which is an important problem towards achieving explainable aiml the authors formulate the problem under the multiarmed bandit setting and propose a solution based on the ucb algorithm this simplification of the problem leads to a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper continues the recent line of study on the convergence behaviour of gradient descent for deep linear neural networks for more than 2 layers the optimization problem is nonconvex and it is known st...
this is a well written paper that contributes a clear advance to the understanding of how gradient descent behaves when training deep linear models reviewers were unanimously supportive
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to model the dynamics of audiovisual objects in the scene with a pseudo3d scene graph the model uses a rnn to roll out multiple features to represent the audiovisual features of differen...
all four reviewers agree that this paper demonstrates strong improvements over prior methods and there is broad agreement among the reviewers that the model is well motivated and novel and that the paper is clearly written there was a good discussion between the authors and reviewers on a number of perceived weaknesse...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper presents empirical analysis multiheaded selfattention msa as part of vision transformer vit and its variants it identifies the following properties of msa 1 vit with msa improves both accuracy and gen...
the paper presents an empirical analysis of vision transformers and in particular multiheaded selfattention and convnets with a focus on optimizationrelated properties loss landscape hessian eigenvalues the paper shows that both classes of models have their strengths and weaknesses and proposes a hybrid model that ta...