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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: given that most popular vision datasets are easy for humans this paper proposes a method to collect ambiguous data by extracting images from videos using this method the authors collect a sizeable dataset a...	overview accept poster the reviews for ambiguous images with human judgments for robust visual event classification were originally somewhat mixed but converged to mostly positive reviews of the revised text clarifications many of the originally noted issues had more to do with the clarity of presentation than issues...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on dealing with a scenario where there are unseen intents or slots which is very important in terms of the application perspective the proposed approach tssm tries to form the embeddings...	this paper proposes a transfer learning approach based on previous works on this area to build language understanding models for new domains experimental results show improved performance in comparison to previous studies in terms of slot and intent accuracies in multiple setups the work is interesting and useful but i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a novel mcmc kernel which consists of a local move mathsfr eg a metropolisadjusted langevin update followed by a global isir update the latter is an mcmc kernel which proposes multiple pa...	three domain experts recommended acceptance for this paper one reviewer in particular made a confident and strong recommendation i find all three convincing reviewers agree that the paper is clear both in presenting the motivation and the argument and that the contribution to theory is substantial proving desirable mi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors investigate reincarnating rl which aims to utilize prior policies to train new agents rather than training rl agents from scratch this paper formalizes the reincarnation setting they demonstrate...	this paper proposes a novel method for transferring prior policies across design and system changes to improve the sample efficiency of rl algorithms which could ultimately help unlock rl for realworld use cases there was an active discussion across the reviewing process in which the authors managed to address the con...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper addresses the proposes a solution for multitask multicriteria hyperparameter optimization the solution hinges around pareto optimality the technique appears to do an exhaustive enumeration...	the paper has been discussed by the reviewers that have acknowledged the rebuttal and the authors responses however the reviewers still had the following weaknesses and concerns not solved post rebuttal expensive procedure eg exhaustive enumeration before finding pareto frontier the experiments should be more rigoro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe authors present some analysis and describes a new methodology on how to do forwardinverse causal inferences with tensor analysis there are no empricial results nor theoratic analysis to back the a...	four experts reviewed this paper and rated the paper below the acceptance threshold the reviewers raised many concerns regarding the paper mainly the lack of empirical studies and clarity some reviewers also suggested the authors better positioning the paper in the literature by discussing more related works the rebutt...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of multiagent markov games with one leader and multiple followers moreover the games considered are controlled by the leader meaning that the transition function only depends o...	this paper studies a markov game with a single leader and multiple followers where the state transitions are independent of the actions of the followers the paper studies online and offline rl methods for this subclass of the markov game and establishes a sublinear regret bound for the online rl method and sublinear s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tries to make improvements on the problem of quantizing transformers wherein the key problem is the presence of outliers the paper presents an analysis of the problem and tries to track the origin...	this paper proposes an outlier suppression method to improve transformer quantization the method is derived based on careful analysis and thorough experiments demonstrate the efficacy of it all reviewers agreed that this is a good paper i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper discusses the information plane of quantized neural networks the authors further investigate whether or not there are compression phases during training a question over which there has been much c...	initially some reviewers have raised several points of criticism regarding certain aspects of the model whose noveltysignificance was a bit unclear after the rebuttal and the discussion phase however everyone agreed that most of these concerns could be addressed in a convincing way and finally all reviewers were in fav...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a modular system film for egocentric instruction following in the alfred environment the system does not require expert trajectories and can operate without lowlevel instruction sequence...	this paper develops a modular system named film for egocentric instruction execution task in the alfred environment which uses structured representations that build a semantic map of the scene perform exploration with a semantic search policy to achieve the natural language goal they achieve strong performance while av...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new token routing strategy for the moe model architecture the existing methods mostly focus on how each token chooses experts to be processed by but this paper designs the opposite way ...	this work introduces a new token routing strategy for moe models instead of allocating a fixed number of experts to each token using a topk function regardless of the relative importance of different tokens the proposed strategy adopts a heterogeneous mixtureofexperts employing an expert choice method the proposed m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper a new type of molecular fingerprint is introduced and its application in the virtual screening setup is shown the fingerprint is based on multiparameter persistence homology that produces topo...	the reviewers mostly liked the paper they mentioned the sound theoretical foundations stability and strong empirical performance the rebuttal was able to convince most reviewers that the paper should be accepted for neurips
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: while several works have explored metalearning approaches for active learning the application of such technique to medical image classification has been more limited moreover the combination of metalearnin...	the reviewers are very positive about the paper and are of the opinion that this would be a very interesting read to the medical imaging community i find the rebuttal has addressed most concerns and the reviewers are satisfied with the responses
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel regularization term for designing loss functions to estimate outcome and propensity score models where the end goal is to estimate ate the regularizer is derived from the assump...	this paper proposes a regularization term that enforces the orthogonality between i a residual between the observed outcome and its estimator and ii the treatment and propensity score the method empirically performs competitively however there seems to exist a gap between the proposed method and the assumptions made to...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the asymptotic convergence properties of populationlevel policy gradient methods with twolayer neural networks softmax parametrization and entropic regularization in the meanfield regime ...	this paper takes a step towards understanding the role of nonlinear function approximation more specifically function approximation via twolayer neural netsin some variants of the policygradient algorithms the authors borrow the mean field analysis idea recently popularized in studying shallow neural nets and investiga...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper mainly targets fewshot learning the authors propose to enhance the invariance of features among different configurations they merge the regularization with gnn architecture to achieve good result...	three out of four of the reviewers are leaning weakly or strongly towards rejecting this paper unfortunately the authors only responded to the concerns of the most positive reviewer making it difficult to disregard the concerns from the three more negative reviewers i also took a look at the paper myself and share a n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper showcases three studies on relational reasoning where objects need to be compared on a certain attribute like size the experiments show large improvements in generalization performance over previ...	this paper is attempting to improve the ood generalization performance of neural networks on relational reasoning tasks this is an important failure point of general neural network architectures and important research topic the results of the paper shows impressive improvements on a set of subject the paper is improv...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i liked the formulation and motivation of the paper explaining the sequence metric learning problem and drawing parallel between synchronized trajectories produced by dynamical systems and the distance bet...	the paper proposed to learn a sequence metric by sharing a memory cell between two lstms that run on pairs of sequences i found the idea quite interesting but i and the reviewers found the inspiration and the analogy from a dynamical systems perspective a unclear unconvincing and maybe not even necessary to the core es...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper studies the problem of largescale pretraining for semistructured documents it proposes a new pretraining strategy called bert relying on spatiality bros with areamasking and utilizes a ...	the paper proposes a new pretrained language model for information extraction on documents it consists of a new pretraining strategy with areamasking and a new graphbased decoder to capture the relationships between text blocks experimental results show better performances of the proposed approach pros the paper is g...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: postrebuttal i acknowledge reading the rebuttal as well as other reviewers comments im satisfied with the rebuttal i think that the authors have addressed many of my initial comments and im happy to increa...	the paper received 3 reviews with positive ratings 767 the reviewers appreciated overall quality of the manuscript thoroughness of the evaluation and practical importance of this work mentioning though that the technical novelty is still not high they also acknowledged impressive empirical performance the authors provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors presents how to learn optimal adversary following the stateadversarial markov decision process samdp and also proposes alternating training with learned attacks atla framework that trains the op...	the paper describes a new technique to train an adversarial mdp to perturb the observations provided by the environment this adversarial mdp is then used to train an rl agent to be more robust since the adversarial agent essentially defines an observation distribution for the environment the rl agent needs to optimiz...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops a new approach for local bayesian optimization by incorporating gradient into the bayesian optimization as in the work by muller et al 13 but instead of moving in the direction of the exp...	all reviewers are positive and agree that the paper should be accepted the primary question raised about the poor performance on hopper was adequately addressed by the author response please integrate the changes and reviewer suggestions around clarity into the final paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study the batched dueling bandit problem under the condorcet condition they design an algorithm named c2b with a few adaptive rounds and derive the upper bound for the asymptotic regret computat...	this paper makes nice progress in the dueling bandits framework by giving a nearoptimal regret bound under exponentially fewer rounds of adaptivity this makes theoretical progress on this problem and may have realworld applications in settings where adaptivity is costly or difficult to implement with each round
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors create a language game in which one neural agent describes an item to another they study what happens to the language that emerges if an explicit parameter promoting compositionality is altered...	this work presents a proposal for increasing the compositionality of emergent languages that uses a measure of topographic similarity as an auxiliary loss function on the communication game the authors find that in certain cases this loss indeed results in increased generalization but overall the authors do not find a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigates the approximation properties of a family of neural networks designed to address multiinstance learning mil problems the authors show that results wellknown for standard one layer arch...	several reviewers thought the results were not surprising in light of existing universality results and thought the results were of limited relevance given that the formalization is not quite in line with realworld networks for mil the authors draw out some further justifications in the rebuttal these should be reinteg...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a differentially private training algorithm for federated learning the target is to achieve communication reduction while keeping differential privacy during training the proposed algorit...	this paper studies differentially private communicationefficient training methods for federated learning while the problem studied in this paper is wellmotivated and interesting the reviewers raised several concerns about the paper despite the authors reconstruction protection explanation the concern over large values ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper different selfsupervised learning architectures are adopted from nlp literature to predict brain activity specifically 1 autoencoders using lstms 2 gptstyle autoregressive models 3 bertstyle ...	this submission solicited interesting discussions between the reviewers and the authors and was seen as bringing interesting ideas to the table the ideas of the masked selfsupervised pretraining for brain imaging is an exciting one one strong concern is that the evaluation is not very conclusive and it is not clear th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a deep reinforcement learning drl method for solving the adaptive ipp problem the proposed drl architecture leverages a selfattention layer to inform local decisions with global inform...	the 4 reviewers all recommended a weak accept rating for this work the work makes a relevant contribution in the area of informative path planning overall some of the key strengths and weaknesses include strengths a well written work that is easy to follow benefits of attentionbased neural network is shown in exp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method for training an ensemble of classifiers for problems where spurious correlations may be present the models in the ensemble are encouraged to learn conditionally disentangled re...	the paper tackles a major problem of supervised ml that of the minimisation of the risk of a set of classifiers this problem has received attention in numerous work over the past decades much of which spans the formal aspects of the problem the paper tackles the problem from a diversity standpoint my main concern is fo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary main topic of the paper is to study various infinite width limits the paper notices different scaling used in ntk limit and mf limit and proposes a general framework for studying the limit behavior...	this paper proposes a general framework to study the limit behavior of neural models with respect to the scaling of hyperparameters in terms of network width which covers existing meanfield mf and neural tangent kernel ntk limits as well as other new limit models that were not discovered before while the reviewers agre...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work focuses on evaluating different finetuning strategies after structured and unstructured pruning the results show that high learning rate schedules like cosine schedule attain best perfor...	this paper follows the observations of renda et al 2020 that the learning rate in the finetuning or retraining phase of neural network pruning is an underconsidered component of the pruning process renda et al 2020 argue for a technique that uses the learning rate schedule of the original training regime for finetuning...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is generally well written and present interesting ideas within the specific mdpuc and dscm models my major concern is whether the foundation results namely cor 6 and thm 7 are indeed meaningful f...	thank you for your submission reviewers appreciated this papers use of counterfactual reasoning to analyze and characterize when human advice including poor advice based on state unobserved by an agent can inform a more optimal dynamic policy the papers setting is interesting and the work provides meaningful results re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors reveal the sensitivity of poisoned samples to transformations and propose a sensitivity metric fct and the authors propose two effective backdoor defense methods for training a se...	the authors propose a new method for defending against backdoor attacks which is based on the observation that poisoned samples are more sensitive to transformations than clean samples they design a metric called textitfeature consistency towards transformations fct to distinguish poisoned samples from clean samples in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents conditional masked language modeling cmlm which integrates sentence representation learning into mlm training by conditioning on the encoded vectors of adjacent sentences it is shown tha...	this paper proposes a conditional masked language modeling cmlm method to enhance the mlm by conditioning on the contextual information all of the reviewers think the results are good however the reviewers also think the intuition and experiments are not so convincing the responses and revisions still not satisfy all...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel multiarmed bandit framework to formulate the scenario of route recommendation based on dynamic traffic situations the formulated model fits in both stochastic bandits and linear ...	this paper introduces a new structured bandit problem called congested bandits where the expected reward for an arm is a decaying function of how many times it has been played recently this model aims to address problems such as route recommendation in which recommended routes tend to get congested hence yield lower re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have created a benchmark for testing computational models of classical conditioning cc a widely studied phenomenon with a popular history dating back to pavlov and his dog recently classical co...	the authors introduce a benchmark for testing computational cognitive neuroscience models the reviewers noted the extensive scope of the benchmark and the quality of the api and there is a consensus on acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the fairness of deep learning models in classification tasks with a large number of intersectional groups the paper has two primary contributions 1 the paper includes an empirical study ...	the manuscript performs an empirical analysis of existing bias mitigation methods on two large datasets celeba and imagenet people subtree where there are multiple sensitive attributes and some unavailable sensitive attribute labels the results show that existing methods can mitigate intersectional bias at scale but un...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper benchmarks various training objectives including loss functions and regularization schemes and measures accuracy calibration and outofdistribution robustness the paper also studies how these obje...	the paper presents an extensive empirical evaluation of several loss functions and regularization techniques used in deep networks the authors conclude that the classical softmax is significantly outperformed by the other approaches but there is no clear winner among them moreover the authors have noticed two interesti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the motivation for the work is not very clear to me the paper is difficult to follow especially the motivation problem setup and architecture part the dataset is not publicly available for everyone to use t...	this paper clearly has great ideas and reviewers appreciated that however the lack of experiments that can be validated by the community only 1 experiment on the proprietary dataset is an issue we dont know if the reported accuracy is a respectable one in the public domain having a proprietary dataset is a plus but n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper deals with nonrigid point set registration via partial distribution matching the problem is formulated as computing partial wasserstein1 pw discrepancy between distributions of the reference poin...	in this paper the authors proposes to use partial optimal transport to align point cloud in the presence of noise and partially observed data to this end they express the partial wasserstein kantorovichrubinstein duality and use it to adapt the classical wgan loss to partial ot the optimal alignment between point cloud...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles a symbolic regression sr sr is a task to explain observed data using mathematical expressions the authors state that there are five individual methods and the proposed method combines the...	the paper presents a novel deep symbolic regression approach that is a hybridization of existing methods showing stateoftheart performance on the srbench let me stress that being a hybrid is no reason to reject a paper as creating hybrids can be a very creative contribution and for me this is the case here the hybrid i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors address the audiovisual navigation task in this paper previous works usually assume that the interacted environment is clean containing solely the target sound different from them this work expl...	this paper addresses audiovisual navigation tasks where a reinforcement learning agent perceives visual rgb and binaural audio inputs rendered in a firstperson perspective 3d environment and is tasked to navigate to the audio source the authors propose to make the rl navigation policy robust by training the agent with ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel upscaling strategy to upscale the spatial features in an encoderdecoderbased spatial updown sampling network upscaling is performed on the frequency domain to explore the global ...	this paper proposes using fourier upsampling for multiscale modeling the paper received initial scores of 8 8 5 3 after the rebuttal and indepth discussions most reviewers are satisfied with the authors replies reviewertppx who gives negative scores still has concerns about the novelty and presentation of this paper as...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a novel procedure milan to interpret deep learning models for computer vision by generating natural language description that specifies the activation selectivity of a given neuron in t...	this paper presents a method to interpret neurons in the vision neural models by generating natural language description that specifies the activation selectivity of a given neuron the proposed method first identifies an exemplar set of input image regions that corresponds to a neuron then searches a natural language d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an architectureindependent way of measuring distance between two models for the same type of input data more specifically given each reference sample it first calculates a linear weight b...	this paper presents a method called zest to measure the similarity between two supervised machine learning models based on their model explanations computed by the lime feature attribution method the technical novelty and significant are high and results are strong reviewers had clarifying questions regarding experim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the case of group robustness when only some of the group labels are known they propose a generalized objective for this setting that considers the worstcase possible group assignment subj...	this paper introduces a novel method for learning distributional robust machine learning models when only partial group labels are available to improve performance of learning algorithms on minority groups pros the paper is well motivated and written the ideas are interesting most work on distributional robust opti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the method is based on soa technologies and the dataset is large and interesting albeit private the literature overview is good the authors have performed a few relevant ablation studies although the eval...	this paper describes an architecture to segment tumors in breast ultrasound images the authors have responded well to the comments and concerns raised by the reviewers and made subtantial improvements to the paper the evaluation problem on the test set has been partly addressed retroactively
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an extension of relation networks rns for natural language processing rns are designed to represent a set as a function of the representations of their elements this paper treats a senten...	this paper presents two extensions of relation networks rns to represent a sentence as a set of relations between words 1 dependencybased constraints to control the influence of different relations within a sentence and 2 recurrent extension of rns to propagate information through the tree structure of relations pros ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes the novel idea of using contingency awareness ie the agents understanding of the environment dynamics its perception that some aspects of the environment are under its control an...	the paper addresses the challenging and important problem of exploration in sparserewards settings the authors propose a novel use of contingency awareness ie the agents understanding of the environment features that are under its direct control in combination with a countbased approach to exploration the model is trai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: cl system has the problem of communication deficiency caused by limited bandwidth other solution model slicing matrix factorization has may degrade the model accuracy if compressing features this paper prop...	this paper proposes a novel communicationefficient learning method that significantly reduces feature size and communication traffic the rebuttal solved the reviewers concerns about the dataset size and accuracy latency trade off
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work tackles a challenging problem inhaletoexhale ct lung registration based on the work of heinrich and flownet the authors propose to use a correlation layer to generate a displacement field pros ...	the paper presents an extension of recent work based on keypointbased cnn registration all reviewers agree that the work is a incremental improvement over recent method heinrich et al etc and that a lot more work should be done before the work is mature nevertheless as this is a short paper the ideas presented and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors proposed the latentkeypointgan that detects keypoints and provides the editable capability using the keypoints the overall training is performed in the unsupervised way without the explicit keypoint...	the paper proposes an unconditional gan that learns a set of structured keypoints as the intermediate representation it was shown that these learned keypoints may be used to control the image synthesis output the paper received a mixed rating before the rebuttal with one reviewer rating the paper marginally above the b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies reluactivated twolayer neural networks the main contribution is that unlike traditional deep neural networks dnns this type of polynomial neural network pnn also learns highfrequency infor...	summary investigate the ntk of pnns and enhanced bias towards higher frequencies strengths spectral bias is a contemporary topic some reviewers found the paper well written weaknesses restricted setting twolayers no bias infinite width particularly in view of the objective to provide architecture design guid...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyses the wellknown and wellstudied maml algorithm and raises two key observations first one is requiring a high number of innerloop updates and the second one is the variation in the metatest...	three of four reviewers rated this paper as an 8 these positive reviewers felt that this paper provided a lot of value through extensive experimentation with maml in the fewshot setting it was felt that the detailed analysis of the inner and outer loop of maml provided a lot of understanding to the reader regarding th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the problem of providing a bound on the size of the coresets for the kmeans problem which is closer the lower bound than the existing state of the art approaches some experimental resul...	i actually really liked the paper despite the weak accept reviews and decided to bump this up improving the known coreset bound for kmeans is extremely important as that is a fundamental problem while it does indeed heavily build upon prior work and doesnt get optimal bounds it is giving a novel analysis for a very im...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors have done a very good job in reproducing the paper although there has been some deviations in the results achieved the authors managed to get very similar results and they tried to contact the auth...	an amazing reproducibility effort that goes above and beyond the results of the original paper and communicates its findings in a clear and approachable way
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the path kernel which decomposes ntk in terms of path kernel it decouples the ntk into two parts the datadependent part and the dataindependent part which is the path kernel the new per...	the paper proposes a very interesting decomposition of the neural tangent kernel which promises to decouple effects of the parameters and data the authors illustrate the effects of this decomposition by considering pruning strategies for initialization while the approach looks promising the current paper is somewhat pr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe paper proposes a data stability measure for early stopping in training various cnn architectures restnet18 vgg16 and a shallow cnn experiments demonstrate that comparing the means of layer weights...	this work presents a simple method for early stopping that is based on layer statistics the reviewers have all commented on the works relative lack of novelty poor writing and insufficiently general empirical evidence for the method working there are very few baselines being compared and little in terms of ablation stu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an improvement of the ppo algorithm inspired by some components of the cmaes blackbox optimization method the authors evaluate the proposed method on a few mujoco domains and compare it ...	this paper proposes to improve the exploration in the ppo algorithm by applying cmaes major concerns of the paper include paper editing can be improved the choices of baselines used in the paper may be not reasonable flaws in comparisons with sota it is also not quite clear why cma can improve exploration further justi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the problem of clustering n sets of m lines in detail the objective is to compute k means that minimize the squared euclidean distance to the closest point on the closest line in each of t...	the paper gives new coresets for sets of lines in a high dimensional space the problem comes from modeling an input data point with 2 missing attributes one continuous and one discrete as a set of lines previous results only worked with missing continuous attributes the reviewers appreciate the technical contribution o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a selfsupervised graph representation learning algorithm named bgrl bgrl employs similar architecture training mechanism with byol and necessary adjustments eg the augmentation methods d...	to perform selfsupervised graph representation learning that is scalable to large graphs the authors propose bootstrapped graph latents bgrl that learns its graph representation by predicting alternative augmentations of the input avoiding the need to construct negative examples the weakness of the paper lies in its no...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the goalconditioned continuous control rl task which is difficult due to reward sparsity the authors propose a method for training deep rl agents in a more sample efficient manner throu...	the paper proposes a novel metaalgorithm called selfimitation policy learning through iterative distillation splid which relies on the concept of distilled policy to iteratively level up the quality of the target data and agent mimics from the relabeled target data several aspects of the paper can be improved the revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes the hypothesis that deeper networks are inductively biased to find lowrank solutions ie in the sense of gram matrix of features being lowrank and presents empirical evidence to support th...	this paper experimentally investigate the inductive bias of deep neural networks tending to produce low rank embeddings of data which is important to explain why overparameterized dnn can generalize in particular the paper empirically finds that deeper networks are more likely to produce lower rank embedding through th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the contributions this paper proposes to review some literature of emergent communication ec in order to highlight bridges both inbetween studies focusing on artificial agents and also with the ...	this is an interesting position paper arguing for humanintheloop ec as an underexplored direction we believe it will be a great addition to the workshop and thank the reviewers for their great suggestions and citations we hope the authors can incorporate some of these into future work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper summary this paper proposes a regularization technique for existing rl algorithms by encouraging them to learn to reproduce the best past trajectories which obtained higher reward than that of current...	the paper proposes an extension to reinforcement learning with selfimitation siloh et al 2018 it is based on the idea of leveraging previously encountered highreward trajectories for reward shaping this shaping is learned automatically using an adversarial setup similar to gail ho ermon 2016 the paper clearly presents...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a method to binarize weights and activations of variational autoencoders and flowbased networks this is an important issue as these methods are valuable to solving unsupervised problem...	the paper develops an approach to training generative models with binary weights the reviewers are split two reviewers regard binary networks and the general theme of reducing the computational cost of training as important and the presented work as a solid contribution two reviewers raise concerns about the motivation...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the vulnerability of federated learning fl algorithm for untargeted poisoning attacks in this direction it formulates the problem of poisoning fl systems as a modelbased reinforcement lear...	the recommendation is based on the reviewers comments the area chairs personal evaluation and the postrebuttal discussion this paper proposed a modelbased reinforcement learning framework for data poisoning attacks on federated learning all reviewers find the results convincing and valuable the authors rebuttal has s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors develop a deepcoupling generative process for deep topic modeling where the key idea is to incorporate skip connections into the generation to alleviate the issue that higher layer representatio...	this paper proposes a new hierarchical neural topic model that alleviates the posterior collapse problem of previous models the key idea is to incorporate skip connections into the generation to alleviate the issue that higher layer representations exhibit similar patterns the sequencelike generation procedure is formu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper an extension to deep kernel learning is proposed a linear kernel is used as the base kernel which enables exact optimization of the kernel hyperparameters there is a universal approximator th...	the paper presents a dkl variant with a linear kernel representations from several networks is combined through concatenation making it not quite an ensemble its shown that the model is a universal kernel approximator experiments are conducted on a large number of uci datasets following the discussions the paper still...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission proposes a way to prune neural networks using a continuous penalty function pros the experiments include some interesting illustrations beyond the basic accuracy comparisons this includ...	this paper proposed a new method to prune neural networks using a continuous penalty function all reviewers suggest acceptance some are on borderline though as the authors did a good job in the rebuttal phase ac also could not find any particular reason to reject the paper in particular the overall writing is clear an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides an extension to a recently proposed problem how many data to collect to meet the requirement in a specific task when using a specfic model the authors add one more key step to the orgina...	the paper addresses a critical problem in the era of massivedataset ml which is how to estimate the size of data that needs to be collected to train a model of a given performance level this is not the first paper to propose the problem but it does give improvements and extensions over previous work the reviewers rea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to use selftraining to tackle the fundamental problem of causal inference where only one potential outcome is seen the proposed selftraining method is iterative after training a model on ...	the paper proposes an intriguing approach for individual treatment effect estimation from an observational dataset the approach is developed for multiple discrete actions beyond binary treatments as typically studied in ite literature and discrete outcomes a special case compared to related literature the idea is to u...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes deep encoder and shallow decoder models for autoregressive nmt they compare rigorously to nar models they also study three factors layer allocation speed measurement and knowledge...	this work demonstrates that autoregressive ar models for machine translation can can be competitive with their nonautoregressive nar counterparts in terms of practicality this is a timely observation given the flurry of recent work on nar models whose primary benefit is often cited to be fast inference it was argued t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an unsupervised model for segmentation and contour detection the unsupervised learning is based on training markov random field model find new feature maps the mrf is constructed by conne...	there was some disagreement on the value of this work the paper received 1 strong accept 1 accept and 1 reject the positive reviewers recommended the paper to be accepted because it proposes a novel unsupervised approach to semantic segmentation and contours detection and because of connections to neuroscience some of ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper establishes the cryptographic hardness of learning halfspaces with massart noise by reducing the learning with errors problem to it which as claimed is widely believed to be subexponentialtime ha...	the paper studies the hardness of pac learning halfspaces in the presence of massart noise recent work showed that the problem is hard for all algorithms using only statistical queries the sq model while this class contains most learning algorithms it does not include powerful algorithmic techniques such as gaussian el...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a theory and an algorithm for certifying the robustness of a 2d image classifier against 3d camera motion disturbances building off of a series of studies on randomized smoothing 22 25 41...	this paper addresses the problem of ensuring robustness certification of a visual perception model under camera perturbations via a smoothing technique the major contribution is the theoretical analysis to establish robustness certification for visual perception under camera perturbations the authors addressed the re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper studies how hyponymy between words can be mapped to feature representations to this end it lists out properties of such mappings and studies two methods from the perspectiv...	all three reviewers found this to be an interesting exploration of a reasonable topicthe use of ontologies in word representationsbut all three also expressed serious concerns about clarity and none could identify a concrete sound result that the paper contributes to the field
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an optimal transport framework solar for imbalanced partial label learning where each data point has multiple candidate labels and the latent label distribution is skewed the key of sola...	most approaches to partiallabel learning pll tasks assume the label distribution is balanced which may not hold in practice this paper provides a principled optimal transportbased framework to resolve the issues with performance degradation caused by skewed label distributions in pll the reviewers found that the work m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a trainingfree solution by using only good representations to detect noisy labels the author designed two detection methods of voting and ranking to filter instances that are likely to b...	this paper proposed a trainingfree method to detect noisy labels based a given pretrained representation the author suggested two methods based on either voting or ranking to filter noisy instances with corrupted labels without training reviewers generally agree that the technical novelty and contributions are only lim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros i appreciate an experimental study to delve deeper into the dynamics of cgh the rm3 algorithm is very interesting and scalable and can perhaps be adapted to be used more regularly for optimization in...	the reviews are concerned about the noveltyincremental nature of the paper and partially also about the conclusions drawn from the experiments the authors did not take the chance to write a response
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors study the problem of node labeling in the inductive case ie at test time the goal is to label all the nodes of a given graph for that problem several variants of gnns and crfs have been proposed in ...	most of the existing gnn based methods model the node labels independently and ignore the joint dependency of node labels the crfbased methods work in this setting but they are hard to learn hence this paper proposes to ease the learning difficulty by solving the proxy problem and simplifying the maxmin problem the sm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary one problem of fewshot episodic learning is a poor sampling resulting in negative impacts on the learned model the paper proposes a new episodic training by exploiting interepisode relationships t...	this paper explores the effect of poorly sampled episodes in fewshot learning and its effect on trained models the improvements from the additional attention module ceam and regularizer cecr are strong and the ablations are thorough the reviewers are not fully convinced that poor sampling is indeed the main issue that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: after feedback first of all i greatly appreciate the authors patient response to me during the feedback period the discussion was really fruitful unfortunately i still have a concern about interpretabil...	most reviewers found the method proposed to be technically sound wellmotivated and particularly interesting due to the interpretability of its results indeed the extraction of interpretable motifs from nas is a valuable contribution one of the reviewers was particularly concerned by the lack of guarantees of the propos...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the generalization performance of markov chain stochastic gradient methods for both minimization problems and minimax optimization problems the analysis is performed by using the method o...	the paper authors a new generalization analysis of sgd with mc sampling by using algorithmic stability the reviewers agreed that the technical contribution is novel and interesting though initially two reviewers were concerned about the potential applications for sgd with mc sampling the authors have updated their pape...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes federated robust decoupling fedrod to excel on both generic fl and personalized fl with extensive results it illustrates that strong personalized models emerge from the local training ste...	this manuscript proposes and analyses can approach to address the centralized and personalized tasks in federated learning jointly existing work has tackled this issue by developing separate tasks instead this manuscript proposes a shared architecture that aims to optimize centralized and personalized models one observ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a 3d shape reconstruction method using local patch priors the proposed method uses the multiresolution patch priors based on the observation that within a 3d structure some details are r...	this is an interesting paper on classindependent 3d shape completion reviewers agree that the paper has good quality and is moderately original there were initially some questions about the level of generalization to new classes but after a strong rebuttal all reviewers find the results compelling and all of them sugge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper investigates the previous maskingbased saliency map methods by detailly formulate the maskingbased saliency methods and sufficient experimentation the paper gives a simple formulation an...	while the reviewers found parts of the paper interesting the main concern about this paper was lack of novelty and marginal improvements obtained by the proposed methods
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an image abstraction ie simplification of image content for nonphotorealistic rendering algorithm based on region growing the approach starts with a seed placement stage where each regio...	all the reviews are positive about the results demonstrated in the paper it would be good to address the quantitative evaluation concern clarify the runtimebottleneck and add corresponding comparisons
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a robust novelty detection method maw to model the distribution of the training data in the presence of high fraction corruption ratios up to 30 of outliers the method add new features t...	the paper proposes a novelty detection method when training data is itself noisy a vaebased approach is developed that promotes robustness of the vae the paper assumes that the encoder a twocomponent gaussian mixture distribution individual components denoting inliers and outliers the paper hopes that the posterior of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides taskaware privacy preservation to improve the task performance for multidimensional user data for deploying a trained model the papers spirit is to use an encoderdecoder framework with a...	this work considers the problem of how to predict on sensitive user points while preserving their privacy it proposes a fairly straightforward way to create a local randomizer that optimizes loss for a given model subject to preserving ldp the work also gives theoretical analysis of the randomizer for least squares lin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper introduces a new neural network layer that enables training nns with quantized activations using reduced bitwidth accumulators the cyclic activation layer makes overflows smooth instead ...	most of the reviewers agree that this paper presents an interesting idea practically implementing a bnn that gains real world speedup is challenging and as past work 1 showed the bottleneck could shift into other layersbesides the accumulation the paper would benefit from a thorough discussion about the practical impac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose cmigcl to generate contrastive pairs in realworld imbalanced graph datasets automatically at first it designs the intermodality gcl module by cotraining encoders in differe...	all the reviewers finally give pronetoaccept score 558 to this paper after the authors informative communication and adding more experiments on two additional datasets i agree that the paper in general is novel and the approach is reasonably designed i suggest to accept this paper while it can be also improved in many ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary and contributions the paper proposes partial group convolution that can learn layerwise partial equivariance from data the main idea is to use the monte carlo approximation to the group convolution...	the paper proposed learning partial and full equivariances from data in an endtoend way the problem studied is an important issue of existing equivariant neural networks which always assume full equivariance however the paper only got 3 marginally below threshold and 1 marginally above threshold even after rebuttal the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the current paper considers the overlapping community detection problem and suggests to use the socalled graph neural networks for its solution the approach starts from bigclam model and suggests to parame...	the paper provides an interesting combination of existing techniques such as gcn and and the bernoullipoisson link to address the problem of overlapping community detection however there were concerns about lack of novelty evaluation metrics and missing comparisons with previous work the authors did not provide a respo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work aims to understand how transformers learn inductive biases as convolution when trained on large datasets with gradient descent they provide detailed analysis and find that vit relies on the positi...	this paper provides a theoretical analysis of the empirical finding that vision transformers learn position embeddings that recapitulate the spatial structure of the training data even though this spatial structure is no longer explicitly represented after the image is split into patches the reviewers are generally sat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper works on the interpretability of video understanding problem with a set of textual descriptions the authors propose a pipeline called codex to extract the key concepts for explaining the classifi...	the authors consider the task of interpretable video classification first a set of binary concepts is predicted and these concept features are then used for classifying a video the set itself is automatically generated from natural language descriptions instead of relying on expert annotations the authors collect two d...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a lifelong learning algorithm across multiple tasks that automatically learns which layers need to be optimized using an em learning strategy for each task in the expectation step the ...	the reviewers enjoyed reading about an interesting take on lifelong learning encapsulating an em methodology for selecting a transfer configuration and then optimizing the parameters r3 made valid concerns regarding comparison with previous recent work r2 also would prefer to see more thorough experiments ideally in se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper appears to beat the sota on inverse halftoning with an approach that uses diffusion models the details are not very transparent the artifact reduction in inverse results is significant in additio...	most reviewers are positive about the paper after rebuttal a number of issues were addressed and the additional evaluations provided in the authors response should be published in the paper or supplemental the clarity of the technical exposition and details can still be improved but reviewers found the results better t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is welllaid out with the major contributions provided in the main paper and the detailed proofs delegated to the appendix some concerns remain on the estimation procedure and the experiments...	meta review pros technically sound contribution with theoretical guarantees cons experiments only with simulated data although papers claims concrete motivation from brain research i lean towards acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work presents first of a kind logicbased framework that relates contrastive minimally absent and abductive minimally present explanations and shows that abductive explanations are essentially ...	the authors consider local why or abductive explanations for a model and a given class which identify a minimal subset of features such that theyre sufficient to imply that the model predicts the class and why not or contrastive explanations which identify a minimal subset st theyre sufficient to imply that the model p...

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