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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors collected nine image classification datasets with multiple annotations which allow a realistic simulation of noise patterns based on these datasets a datacentric image classification benchmarkis pro...
overall reviewers appreciate the strength of the benchmark 9 datasets in different domains with multiple annotations 20 baseline methods and agree that it will benefit the research community in exploring future work related to labeling budget and model and label uncertainty many of the weaknesses pointed out by reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the geometry of adversarial examples under the assumption that dataset encountered in practice exhibit lower dimensional structure despite being embedded in very high dimensional input sp...
the paper gives a theoretical analysis highlighting the role of codimension on the pervasiveness of adversarial examples the paper demonstrates that a single decision boundary cannot be robust in different norms they further proved that it is insufficient to learn robust decision boundaries by training against adversar...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper breaks down the design of stateoftheart parameter efcient transfer learning methods and presents a unied framework that establishes connections between them the paper reframes them as modificatio...
the paper reviews and draws connections between several parameterefficient finetuning methods all reviewers found the paper addresses an important research problem and the theoretical justification and empirical analyses are convincing
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes uniclip unified framework for contrastive languageimage pretraining to unify inter and intramodality contrastive learning under a joint pretraining objective the main difference of unicli...
this paper proposed a framework for imagelanguage pretraining which include three techniques the techniques are well motivated and developed to achieve better performance on zeroshot linear probing and retrieval test ablation studies are provided to show the effectiveness of the three techniques the writing of the p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposed a simple graph neural network architecture that is easy to scale up and perform stochastic training instead of performing message passing as commonly used gnn this paper first...
this paper presents a way to aggregate and precompute node features on a graph to enable fast parallel training of neural models on massive graphs for various node prediction tasks we have seen quite a few papers in this line of work precompute node features without training and then treat the nodes as independent dur...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an outofdistributionood detection method for the image classification models based on the clip model the authors propose maximum concept matching which detects ood by aligning visual fea...
this paper presents an interesting and novel try at using visionlanguage multimodal models for ood tasks the experiments are sufficiently validated on diverse ood datasets besides the theoretical explanations of softmax scaling are quite insightful all reviewers give positive scores during the discussion phase the auth...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied developing robust algorithms in presence of an attacker who can corrupt a portion of the training set in the classical version space learning scenario in the realizable scenario the paper...
all reviewers agree that this paper comprehensively studies a fundamental question of pac learning under instancetargeted poisoning including the study of realizable agnostic deterministic learning settings overall this paper makes a nice contribution to the field of robust machine learning the authors are strongly e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies square loss theoretically in the ntk regime in this particular regime authors find indications that square loss might lead to adversarially robust models and good calibration authors then...
the paper contributes a theoretical understanding of training overparametrized deep neural networks using gradient descent with respect to square loss in the ntk regime besides giving guarantees on the classification accuracy using square loss authors reveal several interesting properties in this regime including robus...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a model to optimize large dl models it takes into account tmp dmp and pmp moreover the proposed model accounts for heterogeneity that exists across devices strengths models device he...
this paper presents amp a method to automatically find the optimal parallelization strategy for large model training on heterogeneous compute resources taking into account the model architectures and cluster setups the method is based on a model to estimate the cost of candidate strategies a combination of heuristics a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as follows 1 paper is well structure and solid work 2 surveyed is satisfactory and backgrounds are clear 3 description about the proposed method is concise and easy to grasp 4 experiments with three differe...
the paper presents a similarity metric for image registration based on a cosine distance between semantic features at different scales two options unsupervised and supervised are considered these propositions bring novel considerations to the problem of deep registration the three reviewers agree the approach is clear...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a local attention relative positional encoding type of network suited for image classification and detection tasks the first focus of the approach is to make attention scale to 2d ima...
this paper introduces lambdanetworks a new method to capture long range interactions in data such as global context in images the method is novel and simple and the experimental results are strong especially in terms of speedaccuracy tradeoffs the paper is well written and easy to follow for these reasons i recommend t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper authors propose to use informative prior for conditional diffusion model when applied to neural vocoding task most of the theory explanations focus on known mu and sigma but i see very lit...
this paper suggests using a conditional prior in conditional diffusionbased generative models typically only the score function estimator is provided with the conditioning signal and the prior is an unconditional standard gaussian distribution it is shown that making the prior conditional improves results on speech gen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors consider planning for markov decision process precisely they study the benefit of convex regularization in montecarlo tree search mcts they generalize the e2w by xiao et al 2019 by con...
most of the reviewers pointed out a lack of rigor of this submission unclear contributions not too convincing claims and empirical gains i thank the authors for the effort put in revising the paper and responding to the reviewer concerns however the reviewers did not deem them convincing enough
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper mainly proposed an evaluation framework for optimizers in machine learning jobs it points out that existing benchmarking often applies best hyperparameter or random search hyperparameter their pr...
this paper was referred to the iclr 2021 ethics review committee based on concerns about a potential violation of the iclr 2021 code of ethics httpsiclrccpubliccodeofethics raised by reviewers the paper was carefully reviewed by two committe members who provided a binding decision the decision is significant concerns d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a stochastic based method namely backdrop for updating the network structures via backpropagation type methods backdrop inserts masking layers along the network it acts as the identity ...
dear authors all reviewers pointed out that the proximity with dropout warranted special treatment and that the justification provided in the paper was not enough to understand why exactly the changes were important in its current state this work is not suitable for publication to iclr should you decide to resubmit t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigates injection attacks on recommender systems where an adversary injects a number of fake user profiles into the training data of the system with behaviors chosen such that the system is m...
this paper explores an interesting new attack vector against recommender systems one that targets recommending an item to users whose topk lists are easier to manipulate for that item and to a diverse set of users from different interest communities overall the paper does a reasonable job with showcasing the effectiv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a technique for long range timeseries forecasting that leverages a generative model to extend the existing time series to train a timeseries model to make the final prediction a...
this paper tackles the problem of long term time series forecasting one challenge in long term forecasting is that often no sufficient date may be available this paper proposes to use gans to generate data that can be used to improve longrange forecasts while reviewers agree that this paper presents an interesting ide...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new method for performing inference on topic models based on self supervised learning their approach is generalizable to multiple types of topic models specifically the authors show ...
this paper generated a large amount of discussion three reviewers were marginally above and one marginally below the paper presents an intriguing relationship between selfsupervised learning and topic model inference that extends earlier work of tosh the result seems to be subtle because there was considerable discu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper takes advantage of the pretrained large language models llms and assesses whether they can be helpful for embodied agents the authors choose the virtualhome environment as the testbed and prompt ...
this manuscript presents a method to refine highlevel task descriptions into midlevel executable steps the idea of using language models to generate steps for a robot to follow is very interesting reviewer concerns focused on the general applicability of the approach and the evaluation reviewers pointed out that the m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies fingerprinting a neural network model by using adversarial example techniques the idea itself is interesting enough the this work presents a neat development toward solving this problem a...
the paper presents a new idea for detection of model stealing attacks the new method generates fingerprint ie adversarial examples that transfer to surrogate models extracted in model stealing attacks but not to reference models ie models obtained independently from the same data if a model owner suspects that some mod...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a multidomain splitting framework for the time varying graph structures in applications such as traffics in urban areas the problem is interesting but the paper lacks of some important d...
the authors propose a graph multidomain splitting framework called gmds to detect anomalies in datasets with temporal information the reviewers agree that the paper studies an important and interesting problem but they think that the paper should be improved significantly before being accepted in particular the review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the classical pacbayes theory to the online learning setting where the sequence of priors and posteriors can dynamically involve the authors provide the first online version of training a...
pacbayes theory provides upperbounds on the risk of aggregation of predictors in the batch setting many pacbayes bounds are actually minimized by ewa exponentially weighted aggregation but these bounds can also be applied on slightly suboptimal aggregation procedure and allow to control their level of suboptimality cla...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses a wellknown problem representing an approximated distribution by a mixture of simpler distributions and presents a novel method that improves on existing approaches in an interesting an...
meta review the paper proposes an intriguing interpolation between sampling mcmc and variational inference in particular both can be seen as special cases of using an infinite mixture distribution with different constraints on the mixing distribution by varying the corresponding tradeoff parameter one gets interesting ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the approach proposed here is definitely interesting and well grounded theoretically the independence test proposed is likely to be used when dealing with relational variables the paper lacks clarity in som...
meta review the paper deals with an interesting problem the main contribution is a new conditional independence test for relational data the reviewers largely agree that the paper contributes new ideas and the results are likely to have an impact on the field the main issues raised by the reviewers have been addressed...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors develop a hierarchical bayesian memory allocation scheme to bridge the gap between episodic and semantic memory via a hierarchical latent variable model they take inspiration from tradit...
the paper proposes a variant of kanerva machine wu et al 2018 by introducing a spatial transformer to index the memory storage and temporal shift module lin et al 2019 the km model learns to encode an exchangeable sequence locally via the spatial transformer the proposed method is evaluated on conditional image generat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper empirically investigates whether relative vc bounds can explain the double descent phenomenon to this end random features of size n are created and then a regularized least squares approach in t...
having read the paper on my own i am like one of the reviewers not convinced by the authors approach the vcbound 3 is actually of the following form see cherkassy mulier page 420 for a statement that is more clearly formulated than those in vapniks books given a data set d in the unit ball the set hdeltad of all hype...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an unsupervised shape matching method where the core idea is to first generate noisy maps from existing unsupervised shape matching methods and refine them by learning pointwise features...
this paper received mixed scores with three reviewer recommending acceptance and one rejection the reviewers appreciated the simplicity and effectiveness of the method but nonetheless raised many questions about the method requesting the authors to clarify several points the authors feedback addressed most of these que...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission studies the optimization of the neural network with infinitedimensional input in the meanfield regime and provides a convergence guarantee based on weak convergence this result utilizes the ...
the paper considers the twolayer neural network in the meanfield regime and proposes an algorithm with complexity independent of the input dimension overall i think the paper is very interesting i recommend an acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: much like progressive growing of gans two years ago this paper adopts a similar coarsetofine procedure for scaling ebms to higher resolutions in particular the approach starts from learning ebms on lowresol...
this work proposes to train ebms using multistage sampling the ebms are then used for generating high dimensional images performing image to image translation and outofdistribution detection the reviewers are impressed with the results but indicate that the novelty is limited while i agree that the work can be seen as ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a method to reduce the cost of adding a final ilp stage to a nn the paper explains its ideas clearly it essentially transforms a linear ilp classifier into a continuous derivable proble...
the paper presents the first solverfree training approach for learning neural integer linear programs the idea is to encode within the loss that the final polyhedron separates the positives all constraints satisfied from the negatives negatives at least one violated constraint or a suboptimal cost value via a softmarg...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work is motivated by the different nature of the otherbackground class in many vision tasks such as object detection and semantic segmentation it introduces c1 loss which consists of 3 individual loss ...
this paper presents work on classification with a background class the reviewers appreciated the important standard problem the paper considers however concerns were raised regarding presentation empirical evaluation clarity novelty and signficance of the work the reviewers considered the authors response in their s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new method for testing for distribution shifts that can focus on different aspects of such shifts defined by the user the paper is very clearly written and easy to follow the problem is...
meta review although the main idea is relatively incremental and combines existing ideas the problem tackled is particularly relevant to uai and the manuscript does a solid and transparent job in describing its contribution and how it adds to the literature
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a very wellwritten easytounderstand and impactful paper it describes how to implement a sequencer in systems relying on consensus to define deterministic state machines the presented solution is nam...
dear authors thank you for submitting to jsys after reading the reviews we recommend a revise decision we believe the concerns of reviewers can be addressed in the next three months potentially sooner but we wanted to give you enough time to handle the comments after the submission of your revised version reviewers wil...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes deep infomax dim for learning representations by maximizing the mutual information between the input and a deep representation by structuring the network and objectives to encode input l...
this paper proposes a new unsupervised learning approach based on maximizing the mutual information between the input and the representation the results are strong across several image datasets essentially all of the reviewers concerns were directly addressed in revisions of the paper including additional experiments t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a simple algorithm named conadv to incorporate adversarial training into the largebatch training setting such that one can further increase the batch size without harming too much accura...
thank you for your submission to iclr this paper presents a straightforward but reasonable approach to slightly improving the performance of largebatch training via adversarial training the basic approach is to apply small epsilon adversarial training shown to help performance in smallbatch settings but accelerate th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses hierarchical classification where the classes live in a hierarchy and the cost of a mistake is the tree distance between the nodes the paper tests the latest cool algorithms for hierarc...
the approach explore the use of conditional risk minimization crm as a posthoc operation to amend a classifier decision by averaging a prior class hierarchy the authors show that it is beneficial for ranking predictions without sacrifying top1 accuracy the rebuttal period clarified some reviewers concern on paper pres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a false classification detection method the proposed method first trains an autoencoder using uncorrupted data to obtain a decoder to define a generative model the generative model is th...
this paper introduces a method for classifying corrupted data and quantifying uncertainty by training semisupervised autoencoders only on clean uncorrupted data pro the approach is novel utilizing metric gaussian variational inference cons more thorough experiments are needed 1 extensive experiments on more complex...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the purpose of the paper seems clear it proposes an attack to the recently proposed algorithm called instahide icml 2020 which is a probabilistic algorithm for generating synthetic private data in the distr...
the paper considers an attack of the recently proposed instahide algorithm mixing up public and private images by convex combination to achieve security of sensitive data the paper formulates the problem as a multitask phase retrieval problem with missingdata and shows that under gaussian data distribution setting we c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors analyze the hardness of different episodes for an episodic training regime in the context of a metalearning training for fewshot classification tasks the authors show that even tho...
this paper explores the contrast in performance between easy and hard tasks episodes in fewshot image classification and propose mitigating strategies to avoid large performance gaps none of the reviewers support the acceptance of this work despite the authors detailed rebuttals with all reviewers confirming their pre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: goal of the paper the paper addresses an important problem of verbalizing plans generated by automated planners such that it is more accessible to nonexpert users significance to the area it is indeed ...
the paper looks at the problemgenerating domainindependent plan verbalizations and builds on previous efforts in this direction in the domain robot path planning the method also provides the user a certain level of control in the kind of verbalizations that can be generated through updating various parameters again sim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a discussion of vagueness of noun phrases along with a categorization of types of vagueness and a corpus study that measures their prevalance in english wikipedia there ais a nice relate...
this paper presents a corpus of noun phrases annotated with vagueness with vagueness itself split into multiple types eg subjective versus quantitative the paper is particularly relevant to akbc because kbs often assume categorical unambiguous entries which vague nps can thwart the reviewers overall sentiment was posit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors formulated the dynamic survival analysis problem as modeling the distribution of hitting time for a terminal state given sequences of states under the assumption that the sequences of states fol...
this paper draws connections between survival analysis where covariates appear over time and tdlearning in reinforcement learning the connection is based on a recursion in the survival distribution when the process satisfies a markov assumption the paper then uses this connection to develop a new estimator for survival...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors developed a transformerbased model genebert to align dna sequences with regulatory elements in particular genebert first applies transformers to learn representations of sequencing...
while several reviewers acknowledge that the paper contains potentially useful ideas related to multimodal selftraining applied to genomic data they also point out a number of weaknesses and room for improvement that the discussion with authors did not fully address this includes in particular the need to better explai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes to incorporate a masked attention mechanism in qmix for value function factorization to disentangle value predictions from irrelevant agentsentities the masking is based on a ran...
this paper proposes an attention based technique to focus on relevant entities in multiagent reinforcement learning while the effectiveness of the proposed method is demonstrated on some tasks there remain major concerns including the following 1 it is not sufficiently convincing that the proposed method performs well...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers a setup with a sharded design encompassing two or more independent bft state machine replication systems the task is to allow the reliable transfer of quantities among two shards the clu...
dear authors we regret to inform you that your submission has not been accepted for publication at this round of jsys as you will see at the reviews the papers topic is of interest in the community however there were concerns on practicality as well as core algorithmic novelty compared to twophase commit we hope that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new method of fewshot incremental learning with its regularizationbased method motived by a subspace view regularization terms to the linear layers of incremental classes are propose...
the paper proposes a subspace regularization technique that encourages the new class weight vector to be in the subspace spanned by those of the base classes for fewshot class incremental learning even though similar techniques exist in fewshot learning literature reviewers appreciate the simplicity of the method and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose to model the relations as a rotation in the complex vector space they show that this way one can model symmetryantisymmetry inversion and composition another contribution is the socalled...
this paper proposes a knowledge graph completion approach that represents relations as rotations in a complex space an idea that the reviewers found quite interesting and novel the authors provide analysis to show how this model can capture symmetryassymmetry inversions and composition the authors also introduce a sepa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a framework to model disentangled directions for pretrained models such an approach mitigates the problems with poor generation quality arising while training models with additional regu...
the paper proposes a framework named disentaglement via contrast disco to learn disentangled representations via contrastive learning on wellpretrained generative models the method aims at simultaneously discovering semantically meaningful directions in pretrained generative models and training and encoder to extract t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this draft proposes to use the relu activation pattern of the neurons in the neural network as the hash code for the input essentially the input features are bucketized into small piecewise linear regions t...
the paper studies the behavior of the intermediate relulike activations of trained neural networks and show empirically that the intermediate activation can be used as a hashing function for the examples with some key advantages including almost no collisions and that there are desirable geometric properties ie can use...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes two ideas for improving the performance of certified training the first idea is to use assign weight for each input based on the margin to the decision boundary the second idea is to use...
the authors develop an approach to improve upon methods for training certifiably robust models they propose an input dependent marginbased weighting and an automatically generated curriculum schedule and demonstrate improvements on training certifiably robust models on mnist and cifar10 reviewers agree that the paper ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests a novel inductive physical bias to guarantee the conservation of momentum the latter is achieved by reconsidering the resampling strategies and a reformulation of a continuous convolution...
the paper models fluid particle dynamics with continuous convolutions where the convolutional kernels in the final layer are constrained to be antisymmetric this physical constraint enforces conservation of momentum reviewers think this is a wellwritten paper related work suggested during the review period should be a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper characterized the scaling of generalization error with respect to the number of training samples d and parameters p for certain smooth estimators in two regimes the variancelimited regime and the...
this paper investigates the scaling laws of neural networks with respect to the number of training samples d and parameters p for some estimators in two regimes the variancelimited regime and the resolutionlimited regime the theoretical results are supported by some numerical experiments unfortunately the paper has se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies objectoriented text dynamics ootd model and planning in textbased games ootd learns internal representation of object dynamics and uses transition layers to predict the belief of object s...
this manuscript makes an interesting observation there is no reason why planningbased methods like mdps must be limited to physical or grounded environments one can plan about more abstract textual domains it adapts the standard methods from planning to such text domains in a fairly straightforward way the fact that co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: a method is presented to modify a music recording so that it sounds like it was performed by a different set of instruments this task is referred to as music translation to this end an autoencoder model is ...
the paper describes a method which given a music waveform generates another recording of the same music which should sound as if it was performed by different instruments the model is an autoencoder with a wavenetlike domainspecific decoder and a shared encoder trained with an adversarial domain confusion loss even tho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper mainly focuses on improving rl policy performance on longhorizon tasks including learning efficiency and generalization the proposed framework has a highlevel objective to adversarially choose ta...
this paper proposes a robust option learning algorithm that learns subtask policies to maximise the worstcase performance the results on a 2d navigation environment and a simulated car racing environment show that the proposed algorithm achieves a better and more robust performance compared to alternative option learni...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper performs extensive experiments on mappo ie shared parameter ppo with centralized value function in cooperative multiagent settings the authors ran ppobased marl algorithms on the mpe smac hanabi ...
the paper presents extensive evidence showing ppo to be a surprisingly strong algorithm in multiagent rl environments compared to more sophisticated and specialized approaches the paper provides a helpful codebase along with elaboration on a variety of implementation details which significantly matter for ppos good per...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper seeks to explain the outcomes of binary contests whether between two tennis players or elements of a consumers choice set by imposing restrictions on the class of preference orderings considered ...
overall the opinion about this paper is quite positive especially because of its novelty it establishes the first connection between preference learning and explainabilityshapley in terms of presentation and technical soundness the paper seems to be convincing too a few critical points eg regarding the evaluation have ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies representation learning in low rank mdps in both online and offline setting this paper proposes repucb algorithm which improves the sample complexity of flambe significantly in addition r...
in this paper the authors extend the flambe to the infinitehorizon mdp and largely improved the sample complexity of the representation learning in flambe meanwhile the authors also consider the offline representation learning with the same framework although there is still some computational issue in mle for the linea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a new offline imitation learning algorithm to be compared with bc the main idea and difference with simple bc is to reuse the old learned policy as a reward function in a policygradi...
this paper focuses on the problem of performing imitation learning from trajectorylevel data that includes optimal as well as suboptimal demonstrations the authors wish to avoid the requirement of a separate filtering process that would throw away the bad trajectories the authors propose a clever innovation that allo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces the adversarial generative network into a physical simulation task ie reconstruction and refining of complex surfaces several losses are applied in the proposed framework such as mse a...
this paper addresses the problem of superresolution of coarse physical simulations into finegrained video by satisfying some physical properties the method uses generative models for sequences of images conditional gans with spatial and temporal discriminators that take into account both the multiplicity of realisation...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the papers addresses the important issue with asynchronous sgd stale gradients convergence is proven under an assumption on the path followed by the optimization walk namely gradient are assumed to be all ...
the reviewers that provided extensive and technically welljustified reviews agreed that the paper is of high quality the authors are encouraged to make sure all concerns of these reviewers are properly addressed in the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces hierarchical reinforcement learning hrl into automatic disease diagnosis which reduces the action space and improves training efficiency besides the authors also expand an existing pub...
the paper applies a reinforcement learning rl approach to a medical diagnosis dialog task motivated by a large action space the authors utilize a hierarchical model where the higher level model triggers a lower level model comprising of symptom checkers and disease classifiers they evaluate their approach on realworld ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a method for unsupervised generative part decomposition based on part kinematics by employing a common encoder operating on the input point cloud the method learns a nonprimitivebased imp...
the submission received split reviews two reviewers recommended accepts and the other two rejects the ac went through the reviews responses and discussions carefully the ac appreciates the authors effort during the response period and agreed that the revision has addressed some of the concerns of the reviewers however ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in paleo the authors propose a simple model of execution of deep neural networks it turns out that even this simple model allows to quite accurately predict the computation time for image recognition networ...
the reviewers were consistent in their praise of the paper they asked for newer architectures eg resnet densenet the authors released an update with a caffe converter which provides access to a wide range of cnns and residual networks resnet50 and densenet examples are provided this seems like an incredibly useful tool...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to estimate an inputdependent noise transition matrix ptm the authors make a strong assumption that the neural network output approximates the underlying clean probability and estimate t...
to tackle the problem of classification under inputdependent noise the authors proposed the posterior transition matrix ptm to achieve statistically consistent classification specifically the information fusion approach was developed to finetune the noise transition matrix experiments demonstrated the effectiveness of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose to impose sparsity upon the lowrank compressions methods imposing sparsity is generally interesting and meaningful the experimental results are appreciated there are some ...
the idea of using multiple sparse matrices seems to be new but the novelty of the idea alone isnt enough to convince the ac and reviewers indeed the idea might not be new but has never been discussed in literature because of the drawbacks we discuss here as the authors and reviewersac seem to agree the actual benefits ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a novel implementation of red regularization by denoising which better leverages multicore architectures to achieve a significant speedup the proposed implementation splits the gradient ...
the reviewers agree that this paper overcomes a number of difficult algorithmic and technical challenges in parallelizing the red method for image reconstruction
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a distributed protocol for the column subset selection problem under the ellp norms for 1leq p 2 the model of computation is a standard coordinator model of communication where the input...
clarity well written paper with a clear contribution statement related work is uptodate concise algorithm description and corresponding theoretical guarantees however the presentation could be still improved significance the polynomial running time guarantee makes the practicality of the proposed algorithm marginal ex...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces retroprompt which constructs an openbook knowledge store from training instances and implements a retrieval mechanism during the process of input training and inference thus equipping ...
the paper proposes retroprompt which builds a knowledgestore with training examples and improves fewshot and zeroshot performance all reviewers appreciate the improvements over competitive baselines and the quality of presentation the main weaknesses are the lack of ablations to clarify where the gains come from and u...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: thank you for submitting a revised version of this submission and addressing concerns raised in the previous round of reviews i reviewed the previous submission as r2 httpsopenreviewnetforumidvtyxuixuqnote...
this paper is a resubmission two reviewers provided reviews on the original submission both reviewers report that their concerns regarding the paper have been addressed in the revised version of the manuscript the reviewers agree that the paper presents a promising set of techniques to tackle topical problem for aug...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review summary the paper demonstrates an interesting and potentially useful idea but much of it is poorely explained and experimental results are not strongly convincing the only numerical evaluations ...
the paper proposes a novel method that learns decompositions of an image over parts their hierarchical structure and their motion dynamics given temporal image pairs the problem tackled is of great importance for unsupervised learning from videos one downside of the paper is the simple datasets used to demonstrate the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes two new modules to improve the motion generation capabilities of autoregressive networks the designing of modules lies in the idea of using a bank of learned features which are used to re...
this paper proposes to fix common issues in motion generation by representing motion latents as combinations of discrete latent codewords learned by a vqvae style approach the idea is interesting and novel and in the response period has been shown to potentially work for more than just dance generation including a huma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a novel approach to detect adversarial examples by measuring the perturbation norm after a counterattack they theoretically provide a certified detecting performance and empiric...
reviewers liked the concept of the zeroday attack and yet raised different concerns about the other parts of the paper in general reviewers wanted to see more thorough experimental evaluations eg against blackbox attack and adaptive attack and improved clarity of the theoretical analyses ac encourages authors to incorp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to improve efficient video recognition on lowresolution frames by crossresolution knowledge distillation reskd specifically the student network with shallower architecture and lowerresol...
after the rebuttal and discussion two reviewers recommend acceptance one borderline rejection most concerns of the raised in the borderline review were addressed at a sufficient detail in the rebuttal the ac sees no reason the reject this paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies a novel recommendation framework which combines two complementary ideas the infinitewidth autoencoder inftyae models the recommendation data while distillcf creates a small set of data sum...
this paper proposes an infinitewidth autoencoder for recommendation which trained using the ntg framework by the kernelized ridge regression algorithm the approach struggle with the large size of the data to this end the authors propose a method for data set summarization called distillcf for synthesizing tiny highfid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: experimentally the proposed approach seems to be quite strong in comparison to related earlier work large parts of the paper are not properly readable as only a quite abstract but complicated explanation ...
meta review the paper presents a novel learning framework with a concrete algorithm for learning finitestate controllers for pomdps the method is inspired by previous methods from the verification literature experimental analysis is appropriate and shows improvements and the paper is overall well written though the ma...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work targets the problem of continual learning cl and in particular the problem of populating the buffer memory in the experience replay erbased paradigm in er we are allowed to store a small subset of...
one way of avoiding catastrophic forgetting in continual learning is through keeping a memory buffer for experience replay this paper addresses the problem of online selection of representative samples for populating such memory buffer for experience replay the paper proposes novel informationtheoretic criteria that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores how to effectively do negative sampling for dense retrieval the paper shows that negatives sampled locally in batch are not informative and proposes ance a learning mechanism that selects...
the paper explores how to effectively conduct negative sampling in learning for text retrieval the paper shows that negative examples sampled locally are not informative and proposes ance a new learning mechanism that samples hard negative examples globally using an asynchronously updated ann index pros the problem s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies positive and unlabeled pu learning which apparently is an important problem in machine learning in many existing researches the pu classifiers assumes that the irreducibility assumption h...
this paper received a majority vote for acceptance from reviewers and me i have read all the materials of this paper including manuscript appendix comments and response based on collected information from all reviewers and my personal judgement i can make the recommendation on this paper acceptance here are the comment...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to make generalized additive models gams scalable by tensor rank decompositions of polynomials specifically the traditional gams are rewritten into the tensor computation form the weight ...
the paper notes that polynomial functions are inherently interpretable models and takes algorithmic advantage of the connection between polynomials and tensors by learning the coefficients of the polynomials using a lowrank tensor factorization the resulting algorithm is shown to outperform prior sota interpretable mod...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper unifies the two distinct compress techniques diana and ef21 into a single framework this new algorithm which is named efbv has advantages over the combined two techniques first efbv allows biased...
it is strongly suggested by the reviewers that the authors explicitly mention the limitations in their paper essentially everything that came out of the discussion period and not exaggerate the results it has been noted that the advantage of ef bv over existing ef21 scheme is marginal further authors seem to be oblivi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an approach to improve the fairness of vfl models without the requirement of storing the fairnesssensitive features in a central server to improve the fairness of vfl models an additiona...
this paper presents a fair vertical federated learning framework fairvfl by learning a set of unified fair representations of datafeatures distributed across decentralized platforms ie these representations do not reflect sensitive attributes such as agegender this is accomplished by having platforms learn local data ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduced a new datacentric perspective on the phenomenon of larger teacher worse student they search for the classes that disrupt the distillation process they defined them as the undistillabl...
this paper makes an interesting observation on knowledge distillation such that excluding certain undistillable classes improves performance this observation is quite interesting and potentially impactful for a better understanding of knowledge distillation the authors use this observation to consistently improve the e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors study an important problem in federated learning ie personalized federated learning where the goal is to balance the training of the local model of each client and the global model...
in this submission the authors study personalized federated learning and propose a selfaware personalized method to address the balancing challenge from the perspective of uncertainty quantification this problem is interesting and important as pointed out by b7bg and rrk4 and the proposed method is derived in a princip...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of learning to fulfill a task described by programs designed for parallelization with multiple agents to this end the paper proposes a framework that can infer the structure...
this paper deals with complex longhorizon tasks with multiagent rl the authors propose emapp method that leverages parallel programs to guide multiple agents with goals to accomplish the task jointly generally this paper is with an interesting idea and has sound technical contributions the presentation is a bonus point...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the original paper by raman shah and dickerson considers the matching problem at the heart of ridesharing platforms how can drivers and passengers be matched they develop cost functions that optimize for f...
a great reproducibility study where the authors extend the empirical analysis beyond the original work the overall presentation is great and with some minor issues which can be fixed
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a few new techniques 1 a new video modeling architecture that uses a pretrained vqvae to tokenize frames followed by a transformer encoder that aggregates the features and produces the fi...
none of the reviewers recommended this paper there were concerns that it is hard to draw meaningful conclusions from the experimental work due to the comparisons provided while the design of the block masking contrastive learning proposed in this paper was rated as potentially being quite important there remained som...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents the memorization effectbehavior in adversarial training in perspective of model capacity convergence and generalization they first investigate the difference of memorization behavior bet...
this paper demonstrates that deep networks can memorize adversarial examples of training data with completely random labels which motivates some analyses on the convergence and generalization of adversarial training at the authors identify a significant drawback of memorization in at that could result in robust overfit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the manuscript considers the unadjusted langevin monte carlo lmc algorithm and performs nonasymptotic analysis of its convergence with respect to the 2 wasserstein distance the main contribution is a mixing...
this paper provides a nearoptimal analysis of the unadjusted langevin monte carlo lmc algorithm with respect to the w2 distance the main statement is that the mixing time is d12eps under standard assumptions the authors also give a nearly matching lower bound under these assumptions the reviewers agreed that this is a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper seeks to explore and understand the improved performance of neural networks trained with additional parameters even though a majority of the weights can be pruned during inference they analyze th...
the reviewers were generally split on this paper on the one hand reviewers generally appreciated the clear presentation discussion and explanations and the experiments on the other hand most reviewers commented on the lack of comparative evaluation to other works including works that are related conceptually while the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a metric for evaluating disentanglement in compositional representation learning upending existing global disentanglement metrics that disregard any representational structure the propos...
this paper presents a new metric for disentanglement of learned representations extending a prominent framework dci to support objectcentric structured representations the reviewers agree on the importance of the question and find the metric a valuable contribution for addressing this problem in the discussion the rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a methodology pluggable to any learned index method that adjust the prediction error guarantee to data locality so as to achieve a given expected value of while improving index perform...
the authors present a new learning based algorithm for constructing index structure existing learned index algorithm use a fixed value in contrast the authors show that a more refined methods can be used to obtain higher quality solutions for the problem the reviewers after discussion found the paper interesting and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a stochastic gradient descent algorithm with adaptive learning rates for continual learning providing an analysis of convergence the main idea is to formulate the problem as a finite su...
this paper theoretically studies the convergence of memorybased continual learning with stochastic gradient descent and suggested several methods based on adaptive learning rates the reviewers appreciated the novelty of the direction and some of them thought the experimental results are promising however most reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper first points out the drawback of stateoftheart defenses for 3d point cloud classification via designing adaptive attack and then the author analyzes the effect of adversarial training on this tas...
the authors develop novel adaptive adversarial attacks for 3d point cloud classification tasks they show that many existing defenses are broken by develop a novel pooling operation deepsym and demonstrate that using this they can achieve significant improvements in adversarial robustness of 3d point cloud classificatio...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents some results about the information bottleneck view of generalization in deep learning studied in recent work by tishby et al specifically this line of work seeks to understand the dynami...
the authors admit the paper was not written carefully enough and requires major rewriting this seems to be a frustratingly common phenomenon with work on the information bottleneck
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to integrate the cost of errors into a classification algorithm the proposed loss function has two terms one for pushing samples towards their corresponding class prototype ldata...
thank you for your submission to iclr this paper had somewhat dissenting reviews but three of four reviewers felt negatively about the paper on the positive side the reviewers noted good motivation for the problem a good ablation study and in some cases good performance over standard cross entropy on the negative si...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this manuscript the authors present a method for predicting residueresidue contacts within protein structures using the attention layers learned by transformer language models using the largest transform...
the authors have done a very thorough job of responding to the comments from reviewers the paper has a clear contribution namely that attention maps predict contacts as well as existing unsupervised pipelines this paper deserves to be published in the final version the authors should discuss briefly bertology meets bi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors conduct theoretical studies on how activation quantization affects weight tuning and their conclusion is that involving activation quantization into the reconstruction helps the flatness of mode...
this paper proposes a simple theoretically motivated approach for posttraining quantization the authors justify its effectiveness with both a sound theoretical analysis and strong empirical results across many tasks and models including a stateoftheart result for 2bit quantized weightsactivations all reviewers agreed t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new approach for calibrating neural network outputs the idea is to train the neural network with a regularized loss function that is a linear combination of prediction and calibration e...
thank you for your submission to iclr the paper proposes a simple method for improving calibration performance using a loss based upon a dirichlet kde the method is appealing in its simplicity but several reviewers and myself have concerns simply about the fact that the method ultimately seemed to give rather margina...
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 method for improving model robustness to target shift ie shift in prior probability of labels in multitask learning mtl specifically the authors consider a different hypo...
the decision is to accept the paper the paper presents an interesting perspective on confounding in the marginal distribution of task targets in multitask learning settings under an anticausal prediction and nounobservedconfounders assumption the paper suggests an inference time strategy for eliminating some of the in...