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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros 1 the paper is wellmotivated clearly written and neatly organized i like the writing style of this paper explaining very clearly what the improvements are and how they perform with respect to the coun... | the submission proposes a transductive fewshot classification method on the basis of the simple conditional neural adaptive processes cnaps introduced by bateni et al the paper received two borderline accept and two borderline reject reviews indicating that the paper may not be yet ready for a publication the meta revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the general idea of combining data of different laparoscopic surgeries due to same similar steps is reasonable however the applied strategy of freezing a feature extractor trained on a single surgery is n... | the reviewer agree that the paper shows an rounded analysis of an intersting problem albeit with little methodological novelty the authors hae taken onboard the reviews and improved their manuscript accordingly |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the optimization method apollo a quasinewton method that relies on a parameterwise version of the weak secant condition to allow for a diagonal approximation of the hessian additionally ... | dear authors i took your concerns into account and i also understand the whole crazy situation around the covid19 many of the reviewers have families eg in us many kids are now homeschooled and there are no good daycare solutions as well i do not plan to list all the good parts of the paper and list weaknesses that ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackled a studying the effect of ensembling neural networks to particularly improve accuracy in the low data regime the paper is well laid out and the experiments are somewhat well motivated as ... | the paper received negative and borderline reviews the reviewers have raised several concerns about the novelty of the approach and the lack of convincing experiments the rebuttal only partially addresses these concerns overall the area chair agrees with the reviewers assessment and follows their recommendation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an approach to generate a named entity linking dataset with a temporal dimension it identifies various phenomena related to the problem and the authors tackle them in the data generatio... | this paper describes a dataset for entity linking with entities that may change over time both in how they are referred to as well as their kb description as well as new emerging entities baselines are evaluated on this dataset reviewers appreciated the general thrust of the work the resource itself and the clear pres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide four families of datasets there is diversity in the dataset sources two of the families are based on mathdriven synthetic data while a third dataset is based on simulations from a real r... | all reviewers agreed that the proposed benchmark datasets for multistructural seismic full waveform inversion are solid and valuable and there is diversity in the dataset sources the baselines and metrics are clear it may well encourage the research in this direction and also inspire future opensource efforts on ai fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work authors attempt to improve sample efficiency as well as accuracy of montecarlo policy evaluation by an interplay between onpolicy and offpolicy data collection the key idea being onpolicy sampl... | the paper seeks to improve the efficiency of policy evaluation in reinforcement learning settings montecarlo sampling is commonly used for onpolicy evaluation but the paper eloquently shows that noniid offpolicy sampling can be a better strategy the reviewers agreed that the technique was novel interesting and promisin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
nbsp the authors provide an extensive benchmark for molecular property optimisation together with a nearexhaustive empirical evaluation of molecule generation architectures i believe this project is timely... | five out of the six reviewers are supportive to this work there have been very extensive discussions between the authors and reviewers during rebuttals especially the one reviewer who provided slightly negative recommendations overall i feel most of the concerns have been addressed and thus recommend an accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new learning algorithm for multiagent reinforcement learning marl when the stationarity of the policies are bounded nonstationarity measures how the agents policies change with time an... | although the initial scores of the paper were not positive the authors managed to properly address the questionsconcerns of the reviewers and the changes they made to the paper convinced the reviewers to update their scores this clearly shows that there were flaws in the original presentation of the paper so i would re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a study for the best arm identification problem and an algorithm that constructs an adaptive experimental design to efficiently balance exploration between the refinement of estimates and... | 3 reviewers evaluated the submitted paper 2 recommending rejection 1x reject 1x borderline reject 1 borderline acceptance there was some interaction between authors and reviewers and the reviewers considered the authors responses unfortunately the reviewers expertise was more on the active learning side and less on the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method that marries parametric face models and neural radiance fields to achieve view synthesis of a portrait that provides expression control another view of this work is extending p... | this submission received 4 ratings all below the acceptance threshold the reviewers expressed concerns around overall novelty of contributions and quality of produced results and also pointed out lack of comparisons with some prior works and gaps in empirical evaluation the authors responded to most of these comments b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a theoretical analysis of two sources of bias in the gradient estimations of metareinforcement learning methods that perform a two level optimization of an outer metalearner and an inner ... | all reviewers are positive about this paper and recommend either weak 3x or borderline 1x accept we had some good discussions through which some of the reviewers rjbj and h2bz decided to increase their initial scores the reviewers consider this work a relevant topic providing intuitive and novel theoretical results wel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies an offline marl setting with a focus on the decentralized case and discovers that the difference between transitions in the dataset and other agents can be very large authors propose two t... | this paper studies the offline multiagent rl problem the finding is that the dataset collected by one agent could be very different for other agents the authors provide two solutions to this problem although being interesting the reviewers found that the there are many imprecise math statements and some of the methods ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel method to identify postnonlinear mixture models under mild assumptions by removing the nonlinear transformations after which standard linear mixture model identification methods... | the postnonlinear pnl mixture model has been studied for a while in bss community this paper presents a method to identity nonlinearity under mild conditions so that after removing the nonlinear transformations a method for source separation from a linear mixture is employed all of reviewers agree that the paper is w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose a theoretical model that is generally wellsuited for continual learning and exhibits less forgetting in particular they present a novel universal approximator theorem with m... | the submission proposes a novel type of neural network based on bsplines and exponential functions designed to reduce catastrophic forgetting proves universal approximation results and provides some experimental results the reviewers find the submission interesting but believe that the submission could be improved sign... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper revisits the cascading bandits problem where the decision maker must choose an ordered list of k distinct items from a universe of l geqslant k items at each round tinleftlbrace 1n rightrbrace to... | all the reviewers were generally happy with this paper there were some comments about a better experimental section and maybe a better discussion of results and extensions eg gapdependent bounds what happens in the kl regime but everyone felt that the manuscript as written was solid enough to merit acceptance i encoura... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper gives an algorithm to sample a distribution given access to pairwise comparisons from it the technical contribution is to design a markov chain whose stationary distribution matches the unknown o... | the authors show how to perfectly sample a discrete distribution given sample access to the bradleyterryluce model on subsets of size 2 while the learning problem has been previously studied extensively this work initiates the study of sampling technically the authors introduce reweighting and rejection sampling ideas ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors derive exact and nonasymptotic in size or time expressions for the expected test loss of a linear model during the sgd training dynamics the timedependent average test loss is given as function ... | the work presented in this study gives a theoretical finitesample generalisation performance of stochastic gradient descent on linear models for different batchsizes and feature structures this approach enable the authors to predict the training and test losses of neural networks on real data while there were some par... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper discusses learning neural network models under weight parameter perturbations in particular the paper motivates the use of a new loss function equation 9 based on the analysis of neural ne... | the authors study empirically and theoretically the behavior of neural networks under linftyperturbations on the weight matrix for this purpose they first derive bounds on the logitlayer of the neural networks under perturbuations of a single or all layers then they propose to merge this bound which depends on the prod... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a technique for adversarial generation of environments for the interesting problem of web navigation and provides an environment that enables learning to design complex websites out of a... | this paper considers the problem of agents learning to autonomously navigate the web specifically by focusing on filling out forms the focus is on using adversarial environment generation to form a curriculum of training tasks thank you for the revisions to the manuscript which have particularly improved readability th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a novel method for defending against adversarial attacks on deep neural networks in a blackbox setting the idea is simple as it is effective to simply add some small gaussi... | the paper proposes a defense against blackbox adversarial example attacks based on adding small gaussian noise to the inputs its evaluation is carried out empirically using cifar10 and imagenet datasets despite a somewhat complete experimental evaluation on two datasets the lack of theoretical justification strongly a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose kagan a novel method for knowledge graph kg alignments using gans in contrast to most other methods kagan does not rely on a supervised setting where a set of already aligned triples is ... | this paper considers an important problem of aligning two knowledge graphs the entities and relations therein the reviewers found the use of adversarial training quite novel and appropriate for the the task especially as it works in the unsupervised setting as well the reviewers were also impressed that the proposed wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for selfsupervised pretraining on tabular data to improve the performance in supervised transfer the method adapts the successful contrastive learning framework to tabular data b... | the paper explores selfsupervised learning on tabular data and proposes a novel augmentation method via corrupting a random subset of features the idea is simple but effective experiments include 69 datasets and compare with a number of methods the result shows its superiority it would be inspiring more work for ssl on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper cast the imitation learning problem as an iterative rlirl process and proposes a new adversarial imitation learning ail algorithm based on mirror descent the authors prove the convergence of the ... | this work proposes imitation learning via the route of mirror descent inverserl mirror descent is a wellunderstood optimization algorithm and framing irl via it is a good theoretical exercise using an expert to help schedule learning is a novel theoretical contribution in the context of adversarial imitation learning t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
brain age estimation can be important for estimating brain disease and agerelated effects the combination of methods is interesting the experimentation seems appropriate results are good the paper is ... | there was strong agreement among reviewers recommending acceptance while some points in initial submission were unclear the authors responded to these points to the satisfaction of all reviewers strengths of the paper include 1 novelty of the proposed approach for regularizing model training with gated knowledge distil... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the fewshot segmentation task through a proposed mask matching transformer mmformer the mmformer contains two parts the first part decomposes query images into multiple segmentation propo... | this paper introduced a new matching mechanism in masklevel instead of pixellevel matching in previous fewshot segmentation methods additionally they propose a featurealignment block based on the attention mechanism to align both support and query features individually and crossalign between them reviewers in general a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a point tracking dataset with 1189 real videos three baseline methods are designed to evaluate the performance 1 the research field of video tap is understudied this paper ... | tapvid presents a benchmark that will be highly useful for tracking research for tracking arbitrary physical points on surfaces over long video clips the reviews are all positive with one reviewer raising ethical aspects in preparing the benchmark i find the rebuttal sufficient and adequate and hence recommend accepta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the problem of efficient feature selection on small datasets when having access to related datasets they propose to encode information about each dataset via a small random sample of inst... | the paper studies the problem of feature selection with few labelled samples the paper develops an optimization framework which applies for both regression and classification the regression setting has been explored for exposition and the classification details are in the appendix the use of permutation invariant neu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a weakly supervised monocular 3d object detection framework using lidar point cloud as the supervision instead of 3d bounding boxes in order to achieve this the authors introduce geometr... | this paper received 5 quality reviews the rebuttal and discussion were effective and addressed many concerns from the reviewers after which most reviewers increase their ratings of this paper the final rating is 6 from 4 reviewers and 8 from 1 reviewer the ac concurs with the positive recommendation from the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a dataset to train ai models on computer vision tasks such as optical flow estimation depth estimation and selfmotion estimation the dataset is gathered by rendering camera views in virt... | acceptposter the paper received reviews leaning towards accept the rebuttal by authors addressed a number of concerns it would be useful to see improvements to the documentation of the dataset in the final version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper revisits nonconvex stochastic decentralized optimization and extends existing convergence analysis with special weight matrices to establish an optimal convergence rate with general weight matric... | this paper presents some new results on nearoptimum algorithms for distributed optimization nearly matching lower bounds most of the reviewers are positive about the contributions of this work however one issue that came up is the assumption of bounded gradient dissimilarity which is essentially a gap between upper and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work learns embeddings for proteins they use techniques from deep learning on natural langauge that are typically applied to scentences and words and apply them correspondinly to proteines and amino ac... | the reviewers and authors had a productive conversation leading to an improvement in the paper quality the strengths of the paper highlighted by reviewers are a novel learning setup and new loss functions that seem to help in the task of protein contact prediction and protein structural similarity prediction the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present an approach to parallelize mcts on a large number of processors out of potentially many different applications they chose to use the domain of molecular design and show improved performa... | i think this is a very solid and good work in the topic of practical massive parallel mcts i think it will be good to open up perspectives among iclrs audience going beyond just deep learning and machine learning i also noted a lot of positive comments during the evaluation and discussion period still it was a borde... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of path integration for the purpose of determining an agents position in space the authors propose a recurrent neural network architecture that fuses information from two se... | the paper considers the problem of path integration in cognitive maps where combining proprioception with visual inputs is required to estimate the displacement the paper proposes a small mechanism a resetting path integrator that extends a conventional lstm for this purpose the resulting networks demonstrate better ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper defines crosssupervised object detection which learns a detector from both imagelevel and instancelevel annotations it proposes a unified framework along with a spatial correlation module for th... | after the rebuttal phase all scores are borderline 6 or negative 4 among the most confident reviewers confidence 5 one gives 6 and one gives 4 the reviewer with confidence 4 gives overall score 6 but states they cannot support the paper there were several concerns about the novelty of the task and method the challenge ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a collaborative perception model that specifically focuses on reducing communication using spatial confidence maps these maps allow agents to decide which areas of the scene they need fur... | this paper proposes a multiagent collaborative perception algorithm where agents exchange perceived sensors eg lidar and share their observations with other agents sparsily by maintaining spatial confidence maps that determine the communication connectivity matrix communication happens over multiple rounds and incoming... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an extensive empirical analysis of the subgroup robustness of treebased models like xgboost distributionally robust models like dro and fairnesspromoting methods like fairlearn on five ... | this work looks at sensitive subgroups propensity to be incorrectly scored across both traditional treebased models and other approaches from the recent literature on tabular data i believe reviewer kdgjs numeric score is lower than it should be thank you reviewer kdgj for a technically strong review and for participa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied a nonconvex nonconcave zerosum game setting called hidden convexconcave game hcc as shown in def 1 which includes several examples such as hidden matching pennies games generative adversa... | the paper studies the convergence of a generalized gradient descent ascent gda flow in certain classes of nonconvexnonconcave minmax setups while the nonconvexnonconcave setups are computationally intractable and gda is known to converge even in some convexconcave setups the paper argues that generalized gda can conver... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is wellwritten and wellorganized the authors applied geometric deep learning based on spline convolutions to the problem to learn the relationship between the functional organization of visual co... | the reviewers mostly appear in agreement that this is a well written paper with an interesting application and promising results within the midl domain |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a stochastic expectationmaximisation em algorithm the main idea is that the target distribution is specified as a deterministic mapping aka a normalising flow from some simple b... | this work combines normalizing flows with conditional sampling while there are connections to other works the paper seems novel and applicable and has nice experimental results the authors did a good job clarifying the reviewers questions and have addressed their major concerns we appreciate the additional analyses add... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
addresses the important problem of augmentation and which augmentations to use in medical imaging augmentations are often approached with a set of highly unrealistic transformations that are generic for al... | i would like to thank all reviewers for their time and effort spent reviewing this paper and for engaging with the authors detailed rebuttal on balance i think that there is sufficient consensus to accept the paper but i would strongly encourage the authors to try to address as best they can the remaining comments in t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in my opinion developing approaches for improving neural network performances on limited data is an important field of study especially in the medical domain the method proposed by the authors could define ... | all reviewers agree that the proposed work is of great importance to the problem of image segmentation particularly under the condition where limited number of annotations are available the proposed work has decent quality of experimental design however the reviewers also have raised several concerns of the paper major... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper concerns statistical inference in linear systems a typical approach uses an integral formulation of the problem via greens function of the differential operator the approach taken in this paper i... | the paper looks at a method for inference in latent force models that uses the adjoint method to help out with the inference three of the reviewers describe the work as easy to read sound relevant and useful some of the reviewers lament the lack of more experiments i would have loved to see the results on the spatia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper uses the statistical physicsinspired energybased model formalism to study the by now canonical problem of retrosynthesis using deep learning the authors use an interesting variant that c... | before the discussion phase nearly all reviewers had doubts about the comparison of the current work with stateoftheart works notably yan et al 2020 retroxpert and graphretro the authors then compared with these works and emphasized that these works rely on handcrafted features they argue that the fairest comparison is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
sensible but novel idea some theoretical justification universality of the results good empirical results there is one obvious algorithmic change that could potentially be a significant improvement bu... | meta review the focus of the submission is encoding sets particularly with neural networks the authors propose to use a potential function ftheta based generalization of standard aggregation schemes as formulated in 2referred to as equilibrium aggregationwhere ftheta is a neural network with parameters theta they show ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors approach the problem of modelling irregularly sampled data with continuous time rnns they first show through a series of theorems that continuoustime rnns are expected to suffer from vanishing a... | after carefully reading the reviews and the rebuttal i feel the paper fails slightly short unfortunately some of the issues that i have are aligned with the feedback from reviewer 6ywu and puly a significant part of the paper is the formalism and theory introduced by this work followed then by the empirical evaluati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provided the pitfalls of wasserstein kmeans via giving the examples and theoretical proof and proposed a distancebased formulation of kmeans in the wasserstein space in addition t... | this paper provides a wassersteinbased kmeans formulation for clustering probability distributions though the overall reception was mildly positive but two reviewers raised their scores following the author feedback there remains some doubts that there is enough evidence to support all claims in the papermost relevant ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel analysis of thompson sampling using ensemble sampling which is an approximation technique in order to correct for the fact that in general sampling from the posterior distributio... | there was broad agreement about this paper all reviewers valued the main contribution the first rigorous analysis of ensemble sampling as an approximation to thompson sampling the reviews and discussion all indicate that the paper is clear and honest in stating its contributions and supporting them with evidence and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present both a dataset of videos of a realworld foam ball bouncing and a model to learn the trajectory of the ball at collision bounce points in these videos the model is comprised of a physics... | this paper proposes a novel dataset of bouncing balls and a way to learn the dynamics of the balls when colliding the reviewers found the paper wellwritten tackling an interesting and hard problem in a novel way the main concern that i share with one of the reviewers is about the fact that the paper proposes both a new... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a hybrid neural network of snn and ann to solve the binding problem this hybrid network on the one hand expands the representation space with additional temporal dimension and on the oth... | this paper presents a solution to the binding problem that uses a combination of spiking and reconstructive attention the authors show how spike timing can be used to group sensory inputs into objects and then have attention alter the synchrony of firing to bind multiple objects they demonstrate this on a variety of vi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that a sentence selection evidence scoring model for qa trained on squad helps for qa datasets where such explicit perevidence annotation is not available quality pros the paper is mostly... | this paper presents a model for question answering where the idea is to have a collaborative model that aligns queries and sentences on a small supervised dataset and also uses semisupervised information from a weakly supervised corpus to answer open domain questions resulting in short answer spans the main criticism ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summarycontribution this paper focuses on the problem of incorporating uncertainty into rl the primary contribution is exploring the use of successor features for uncertainty prediction over qvalues the pro... | pros interesting algorithmic idea for using successor features to propagate uncertainty for use in epxloration clarity cons moderate novelty initially only simplistic experiments later complemented with atari results initially missing baseline comparisons no regretbased analysis questionable soundness because u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes the reproducibility results and analysis for the robust counterfactual explanations on graph neural networks paper 1 the paper is very well written clear and easy to follow the introdu... | the paper is well written the reproducibility study and the extended ablations are well motivated and executed one reviewer points out the lack of indepth analysis in ablation studies which could have strengthened the paper further however the extended analysis on a different domain dataset and special emphasis on eval... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a very interesting dataset of euclidean shapes and objects it shows the limitations of current vision models in understanding these shapes and geometrical structures this task is especial... | this paper introduces a new dataset to evaluate the discrimination of geometric shapes using these images the paper shows that humans who probably have had extensive training with geometry seem to generalize better across geometric shapes than standard computer vision algorithms which have had no direct exposure to tra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows empirically that under certain conditions overtraining large width in all layers data augmentation and regularization neural networks nns tend to learn redundant representations in the last ... | this paper undertakes an empirical investigation of overparameterized neural networks studying the last hidden representation and identifying representation mitosis a cloning effect whereby neurons split into groups that carry the same information the effect is observed for a variety of architectural configurationsdata... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper provides an interesting model that can be used for a metalearning situation where both data distribution and the number of features vary across tasks the proposed model referred to... | this paper addresses a metalearning method which works for cases where both the distribution and the number of features may vary across tasks the method is referred to as distribution embedding network den which consists of three building block while the method seems to be interesting and contains some new ideas all of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the text explores estimation under a rollout setup whereby the treatment of units is sequentially increased over time this is a common setting in tech companies for example also known as a rampup period by ... | the paper proposes a staggered rollout randomized design for estimating the total treatment effect with network data without requiring the knowledge of the network this is an interesting problem that appears in many real world settings the paper has many strengths and few weaknesses i believe that the weaknesses can be... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work studies effect of pruning neural networks on their losses for specific groups and the differences between them termed as unfairness it shows that gradient norm and hessian of the loss function are ... | the paper hits two important angles in current ml first offering theoretical predictions about the behavior of networks in the context of pruning and second providing guidance on how differences in data distributions will be affected by pruning examples include face image analysis with labels for race these should be t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies online learning under adversarial corruptions in three settings in the regret minimization setup the first setting is the classical stochastic multiarmed bandit the second one is contextu... | the discussion with the expert reviewers reached the consensus that the paper lacks in novel technical contributions and as such it does not meet the bar for a theoryoriented paper at iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the convergence rates of the twotimescale versions of extragradient eg and optimistic gradient ogda methods for nonconvexstronglyconcave ncsc and nonconvexconcave ncc settings similar ra... | the reviewers appreciate the novel theoretical contribution to the convergence analysis of ogda and eg methods in the settings of the nonconvexstronglyconcave ncsc and nonconvexconcave ncc as well as the lower bounds showing the tightness of their convergence guarantees i recommended its acceptance accordingly the sugg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper mainly introduces a metric to benchmark the performance of neural networks without training the correlation of jacobian subject to different augmented versions of a single image the key... | this paper proposes an interesting new direction for lowcost nas however the paper is not quite ready for acceptance in its current form the main area of improvement is around the generalizability of the score presented both empirically and ideally theoretically the two main directions of generalizability that would be... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes changes to the elbo loss used to train vaes to avoid posterior collapse they motivate their additional components rather differently than what has been done in the literature so far whic... | this paper proposes a solution for the wellknown problem of posterior collapse in vaes a phenomenon where the posteriors fail to diverge from the prior which tends to happen in situations where the decoder is overly flexible a downside of the proposed method is the introduction of hyperparameters controlling the degre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an improved method for uncertainty estimation in deep neural networks based on their observations that the confidence scores based on highly confident points and low confidence points w... | the paper proposes an improved method for uncertainty estimation in deep neural networks reviewer 2 and ac note that the paper is a bit isolated in terms of comparing the literature however as all of reviewers and ac found the paper is well written and the proposed idea is clearly newinteresting |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission integrates the encoderonly and encoderdecoder transformer for both understanding and generation tasks through parameter sharing the authors present a variable encoderdecoder pretraining appr... | this paper proposes a unified crosslingual pretraining method that works well for both natural language understanding nlutypically done using encoderonly architectures like mbert and xlmand conditional natural language generation nlg tasks like machine translationtypically done using encoderdecoder architectures like m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel scheme to apply autoregressive language models decoding to retrieval tasks in which documents are represented using all constituent ngrams as possible identifiers the key idea i... | this paper proposes a method seal for document retrieval where a language model lm conditioned on a question generates ngrams as document identifiers this is done by training bart on question and ngram pairs where the ngrams are sampled from the gold passages and at test time constraining generation to output valid ngr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
goals the paper presents a new manner of mixing up training samples to create new training distributions like mix up it uses optimal transport between minibatches of data of size k then they perform mixup b... | this paper proposes an extension of mixup a data augmentation method to kmixup using optimal transport the idea is to select randomly at each iteration two subsets of k samples and compute the optimal transport solution each pairs of samples assigned by the optimal transport plan will then be used to perform mixup an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the proposed framework is interesting 2 the collected dataset is large and it should be beneficial in the clinic and experiments demonstrate the effectiveness of the proposed method 3 overall the writi... | despite the initial concerns from two reviewers the authors rebuttal addressed most of the raised weaknessesclarifications which led to a final common score of weak accept among the three reviewers after reading the reviewers comments and authors rebuttal i side with the reviewers and recommend the acceptance poster of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles the task of semisupervised object detection via a teacherstudent method the authors introduced a training regime where a teacher and student network who share the same initial weights pret... | this paper proposed a new semisupervised object detection approach using unbiased teacher to jointly address the pseudolabeling bias and overfitting issues significant improvements over sota were reported on coco and voc reviewers agree that the proposed method is simple and effective and the experimental results are s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed perceiver io which is a general architecture for structured input output perceiver io is based on the perceiver architecture which scales linearly with the size of inputs and outputs an... | this paper proposes perceiver io a general neural architecture that handles general purpose inputs and outputs it operates directly in the raw input domains and thus does away with modality specific architecture components the paper contains extensive experiments showing the capabilities of this architecture in differe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
operators are key elements in deep learning tensorflow pytorch etc or scientific computing numpy frameworks this paper introduces a generic convenient and elegant way of massively describing large portion o... | all reviewers agree that this paper is a useful and valuable contributions to ml engineering insightful analysis highly user friendly operator design useful and i can see it having large adoption in the community of scientific computing personally i tend to buy these advantages of einops however there is a la... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary while much work has been devoted to understanding the role of the discriminator in gan training comparably little is known about the role of the generator in this work the author address this impo... | paper summary this paper investigates theoretically and empirically the effect of increasing the number of parameters overparameterization in gan training by analogy to what happens in supervised learning with neural networks overparameterization does help to stabilize the training dynamics and improve performance em... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new exploration scheme for general multiagent reinforcement learning called pmic pmic maintains two separate buffers by keeping trajectories with high rewards and trajectories with les... | this paper includes an interesting idea of pushing towards good and away from bad trajectories in a natural clean way the main problem of the paper is one of clarity the paper could be written to be more concise and clear which would allow for instance for sufficient space for the figures which are currently sometime... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a geometry representation based on irregular grids for generative shape modeling strengths it is an interesting idea especially when combined with transformers and vector quantization ... | all reviewers agree to accept this work which presents a creative new shape representation for 3d generative modeling the negative aspects raised by the reviewers are fairly minor and most were addressed during the rebuttal phase please be sure to incorporate all commentsadditional results into the final cameraready v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the hyperparameter optimization problem with a onepass approach that alternatively optimizes over machine learning model parameters and hyperparameters to optimize over a bilevel optimiza... | the paper provides a method for with tuning continuous hyperparameters hps it is closely related to a previous work lorraine 2019 that was limited to certain hps and in particular could not be applied to hps controlling the learning such as learning rate momentum and are known to be influential to the convergence and o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hypothesis convolutional neural networks are biased towards either texture or shape according to the dataset used for training if so can we develop an approach that can do shapetexture debiased learning th... | after the rebuttal stage three of four reviewers recommend acceptance and one gives a borderline score but argues they lean positive concerns seem well addressed the method is simple yet effective |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deal with learning abstract mdps for planning in tasks that require longhorizon due to sparse rewards this is an extremely important and timely topic in the rl community the paper is generally c... | the paper presents a novel approach to exploration in longhorizon sparse reward rl settings the approach is based on the notion of abstract states a space that is lowerdimensional than the original state space and in which transition dynamics can be learned and exploration is planned a distributed algorithm is propose... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of reinforcement learning of reinforcement learning with a linearly realizable optimal value function while this problem is infeasible in general as shown by recent lower boun... | we thank the authors for their submission the paper studies finitehorizon mdps in which only the optimal value function is realized by a linear function the learner has access to the mdp via a generative model and has to minimize its sample complexity for finding a policy with approximately optimal value function this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new offline multitask rl algorithm named conservative unsupervised data sharing cuds prior works on multitask rl require the functional form of the reward functions or are limited to g... | although sharing data between tasks benefits multitask rl this requires that rewards be relabeled across tasks this paper shows that for binary rewards directly reusing data from other tasks with constant reward relabels is effective and the paper develops a method around this idea that is highly effective the reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers learning a model for reinforcement learning and proposes to also learn the gradients of the model in addition to just the predictions they approximate the model gradient using the neare... | the paper considers modelbased rl and focuses on approaches that benefit from the differentiability of the model in order to compute the policy gradient it theoretically shows that the error in the gradient of the model wrt its input appears in an upper bound of the error in the policy gradient computing using the lear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after author response the authors have addressed my comments and my recommendation remains unchanged summary the paper proposes a novel bayesian method for fewshot classification the propose... | the paper presents a bayesian approach for classification able to adapt to novel classes given only a few labeled examples the models combines a onevseach approximation of the likelihood combined with a gaussian process this allows to resort to a dataaugmentation scheme based on polyagamma random variables ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
typical knowledge distillation losspipeline failed for unconditional gan distillation due to the output discrepancy between teacher and student model even if same inputs are fed this paper proposed a framew... | the paper proposes a method for compressing unconditional generative models by leveraging a knowledge distillation framework two reviewers consider the paper slightly above the acceptance threshold for the interesting topic studied in the paper and the simplicity of the method however the other three reviewers consider... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the ... | this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the nethack challenge 2021 iii code for users to apply these trajectories in a compressed format to demonstrate the u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new method to train ensembles of classifiers which are robust to adversarial attacks in particular blackbox transferbased ones this is achieved by enforcing the output of early layers o... | the paper proposes a new method to train ensembles of classifiers that are robust to adversarial attacks in particular blackbox transferbased ones this is achieved by enforcing the output of early layers of different members of the ensemble to have on average gradients with low cosine similarity which should in turn cr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i apologize for the late review since i did not realize i was assigned an emergency review for this paper summary the paper proposes a new dsl language embedded in julia that can represent reversible pro... | after reading the paper reviews and authors feedback the metareviewer agrees with the reviewers that the paper touches an interesting topic reversible computing but could be improved in the area of presentation and evaluation therefore this paper is rejected thank you for submitting the paper to iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on the problem of uniformity in representation learning especially laplacian representation to address the issue the authors propose tatc method which leverages the skills training that re... | the topic of this paper is nonuniform priors and exploration in reinforcement learning with the graph laplacian all reviewers appreciated several aspects of this work but they all also have several reservations looking at the paper reviews and discussions i see the potential a very nice more general contribution thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written deals with a valid and crucial endtoend imaging problem comments 1 section 2 it is not clear how 10574 compounds increase to 11585 2nd paragraph page 3 also how does one arrive a... | this work studies the performance of several endtoend cnn architectures for the prediction of biomedical assays in microscopy images one of the architectures gapnet is a minor modification of existing global average pooling gap networks involving skip connections and concatenations the technical novelties are low as ou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses graphlevel distribution shifts on graph neural networks it propose a causalbased invariant learning objective based on contrastive learning and prove its equivalenceapproximation of the... | graph nns have proven to work considerably well in the indistribution setting however they fail when test data come from a different distribution than test as shown by previous work this paper aligns with recent works and aims to study how to obtain invariance to shifts described by the assumed causal model the assum... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a visionlanguage transformer representation learning model denoted as tvlt the proposed model is based on masked autoencoders comprised of two encoders one for vision and one for audio a... | reviewers acknowledge that the proposed method is simple and performs well and have the potential to present an interesting research direction for future works the authors respond actively to the review comments and one reviewer raises the score after author response it is a good paper and i recommend acceptance author... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies algorithms for the online prediction with experts problem in the multiscale setup where the losses of the different experts have varying and unknown scale parameters within this setup the... | the reviewers were generally happy with this paper there were some comments about better experiments and one comment about properly comparing this work to bubeck et al eg difference in rates and comparative advantages i encourage the authors to better explain this related work and also incorporate some of the clarifyin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the problem of deployment complexity in reinforcement learning problems where we want to reduce the number of cycles an agent is typically deployed for interacting with the environment ... | the authors present a precise definition of deployment efficient rl where each new update of the policy may be costly and theoretically analyze this for finitehorizon linear mdps the authors include an informationtheoretic lower bound for the number of deployments required the reviewers found this an important setting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how to approximate sinkhorn computation using more efficient kernel matrix representations lowrank approach lsh based sparse approach neither of both ideas is completely new the authors ... | the authors propose to approximate the kernel matrix used in the sinkhorn algorithm by a combination of sparse low rank approximation to do so the authors propose to compute a low rank approximation of a sparsified thresholded below a certain value to be 0 kernel matrix using nystrm and then correct it by adding back ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
final evaluation i have gone through the other reviews as well as the author response firstly i would like to thank the authors for providing detailed responses to my questions in general i agree with r2 t... | this paper studies memorization properties of convnets by testing their ability to determine if an imageset of images was used during training or not the experiments are reported on largescale datasets using highcapacity networks while acknowledging that the proposed model is potentially useful the reviewers raised s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
what is the task a general flexible and efficient framework to control autoregressive generation models with neurallydecomposed oracle nado what has been done before pplm gedi and fudge also aim to guide... | all three reviewers sided to accept the paper the method of the paper is formulated as an optimization problem based on posterior regularization and as such is quite different from existing paradigms in controllable nlg eg lexically constrained beam search or modified probability sampling the works theoretical basis al... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a semisupervised reward learning approach to reduce the efforts of reward engineering which contains two key components the first is to produce artificial labels for these unlabeled sam... | the topic of learning reward functions from preferences and how to do this efficiently is of high interest to the mlrl community all reviewers appreciate the suggested technical approach and the thorough evaluations that demonstrate clear improvements while the technical novelty of the paper is not entirely compelling ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the connection between 2x2 confusion matrices and show that any measure that is defined on those can be optimized with a threshold optimization method the strength of this paper is i... | after discussion with the authors reviewers are positive about this paper some loose ends remain but it is impressive that the authors have discovered something new about binary classification the single most intensively studied topic in all of ml |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on neural networks with relu activations for these networks the paper proposes bounds on the number of neurons needed to represent continuous piecewise linear functions cpwl these bounds a... | three reviewers agree that this work meets the bar for acceptance rating it weak accept weak accept and accept the work provides bounds for approximating continuous piecewise linear functions by relu networks and an algorithm reviewers praised the novelty and significance and were positive about clarifications offered ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
introduction since the state dynamics and rewards depend on the input process why do the rewards depend on the input process conditioned on the state does the scenario being considered basically involv... | this paper proposes an inputdependent baseline function to reduce variance in policy gradient estimation without adding bias the approach is novel and theoretically validated and the experimental results are convincing the authors addressed nearly all of the reviewers concerns i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses design choices of onestage architectures for the task of scene graph generation sgg specifically the degrees of feature entanglement for predicting predicates relations and entities obje... | paper was reviewed by five reviewers and received 3 x borderline accept 1 x borderline reject and 1 x weak accept generally the reviewers thought that the paper was interesting and had merits raised issues revolved around 1 lack of clarity in certain parts of exposition 2 evaluations and ablations that could have been ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a python library on modeling proteinprotein interaction for the field of target discovery and drug design it includes commonly used database on both structural data and interaction data ... | the paper describes a python library called graphein for working with biomolecules the manuscript provides a bridge between life scientists and machine learners describing the high level concepts that will facilitate a meaningful interaction between the two fields by suitable use of the graphein library the library pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose the aggregation rule tmean for federated learning they show the effectiveness and byzantine robustness of tmean by both theoretical analysis and empirical evaluation this paper is of go... | the paper suggests a new aggregation rule for federated learning in order to mitigate byzantine attacks however as the reviewers pointed out the theoreticial results of the paper are weak and incremental and the experiments are not solid |
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