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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of differentially privately learning deep neural networks in order to improve the accuracy and reduce the communication cost this paper proposes to randomly freeze a progres... | this paper provides a new differentially private training method the key idea is sparse gradient updatesthat is their variant of differentially private sgd dpsgd only updates on a random subset of the parameters in each iteration the authors argued that their method has a benefit in terms of memory and communication ef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper suggests image synthesis method to improve data efficiency in offline rl in offline rl we can only use stored data but it is too small for improving performance thus many researches try to learn... | summary the performance of the offline rl methods can be limited by the amount of coverage in the dataset most realworld problems have limited coverage in the offline rl datasets and the sample efficiency of the pixelbased offline rl methods in general is often poor thus it is an important direction of research to imp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on modeling 3d garments with a novel neural sewing machine nsm the nsm is a learning framework that can effectively encode garment representations which could facilitate 3d garment constr... | this paper was reviewed by four experts in the field based on the reviewers feedback the decision is to recommend the paper for acceptance to neurips 2022 the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper for example 1 the evaluation on realworld data... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is concerned with 3d molecule learning they propose a collection of existing and new datasets curated from existing datasets they show that a lot of existing tasks can do well when 3d structure i... | for many problems such as ligandprotein binding quantitative structure activity prediction qsar predicting protein function from structure etc the 3d geometry of the molecules is of great importance one way to represent this is simply to assign locations to all atoms in 3dimensional space if using graph convolutional... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an adaptive tree search algorithm for nmt models one advantage of this algorithm is that it does not make any assumptions about search objectives and this enables the proposed algorithm ... | this paper proposes an adaptive tree search algorithm for nmt models with nondecomposable metrics and shows its efficacy against strong baselines this is an interesting contribution towards overcoming the performance caps introduced by the uncontrolledfor biases of beam search and it speaks to a growing community inter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an ensemblebased semisupervised learning method for novelty detection the goal of their training scheme is to create an ensemble of models that has a high disagreement on the outofdistri... | the authors propose a semisupervised novelty detection method which tries to identify outofdistribution samples in the unlabeled data consisting of in and outdistribution samples using a disagreement score of an ensemble the ensemble is generated by finetuning the trained classiifer on the labeled training data plus th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors investigate the innerloop optimization mechanism of metalearning algorithms the analysis shows the effectiveness of the multistep adaptation and 1 the key of metalearning... | maml is a wellknown gradientbased bilevel optimization to learn a good initialization over a set of relevant tasks this paper investigate different variants of maml providing empirical analysis of two new algorithms rdp and mcl reviewers agree that it is interesting to see what the change of optimization mechanism on b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide nonasymptotic convergence rates of markov chain score ascent mcsa methods by casting them as instances of markovian chain gradient descent for which such rates have been recently establi... | all reviewers recommend accepting the paper if the authors want to increase the impact of their work a demonstration on a largescale problem would help a lot |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes museformer a transformerbased music generation model which can handle long music sequences via tailored design of attention mechanism called fine and coarsegrained attention specifically ... | this paper presents a novel attention selection scheme for modeling the longterm structure of symbolic music modeling multitrack music with repetitive structure is a challenging task especially due to the quadratic memory problem of the transformer the authors propose measurelimited finegrained attention and coarsegrai... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to analyze and improve idfs for lossless compression the authors claim is mainly three following points 1 idfs treat the random variable as integers with a countably infinite number of class... | the reviewers of this paper unanimously agreed that this paper adds an interesting theoretical and practical discussion to discrete flows the paper has improved from the first version to the final one in which the comments and suggestions by the reviewers have been followed the paper is still incremental with respect... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is quite clear and is wellmotivated by a practical situation of having a classifier that is a black box and that is evaluated by various metrics that one would like to assess as efficiently as pos... | the paper addresses a wellmotivated problem of evaluating the accuracy of a blackbox classifier ax using actively selected set of labeled examples they predict two additional classifiers one to predict if an example will be corrected by ax and the second a bayesian nn to assign a distribution over likely labels of un... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper addresses the problem of no press diplomacy it applies existing search techniques to improve on an imitation policy which is learned with improvements on existing supervised learning met... | all reviewers agree that this paper is very solid work that presents great progress in nopress diplomacy the method and presented experiments are of very good quality and the work merits to be presented at iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses linear interpolations in the latent space which is one of the common ways used nowadays to evaluate a quality of implicit generative models more precisely what researchers often do in t... | all the reviewers and ac agrees that the main strength of the paper that it studies a rather important question of the validity of using linear interpolation in evaluating gans the paper gives concrete examples and theoretical and empirical analysis that shows linear interpolation is not a great idea the potential weak... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides metrics benchmarks and algorithms that can evaluate transferability not just catastrophic forgetting in continual learning these methods are reasonable but there seems to be a need for m... | this paper presents a new benchmark for evaluating continual learningcl algorithms on transferability and scalability it also introduces a datadriven prior to reduce the architecture searching space experiments show the new benchmark helps to analyze the properties of cl algorithms and the proposed algorithm performs b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel method for ensemble learning by introducing a anchor scheme and specialization loss the base learner are forced to be specialized the method is validated on both tabular and ima... | this paper proposes a novel ensemble method that enforces specification of the base models to improve accuracy base models are specialized on subregions of the latent space to calculate the ensemble prediction for a given example base models are weighted based on how close the example embeddings are to a learned anchor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality the authors have published code for replicability the baseline evaluations are of reasonable quality the proofs and theorems around convergence and complexity are high quality the results on th... | the paper proposes an optimization framework that automatically adapts the learning rates at different levels of a neural network based on hypergradient descent the ac and reviewers all found the approach interesting and promising and appreciate the author feedback we strongly encourage the authors to incorporate th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends prior work on equivalence between predictive coding and backprop in layered neural networks to arbitrary computation graphs this is empirically tested first on a simple nonlinear scalar fu... | this paper extends recent work whittington bogacz 2017 neural computation 295 12291262 by showing that predictive coding rao ballard 1999 nature neuroscience 21 7987 as an implementation of backpropagation can be extended to arbitrary network structures specifically the original paper by whittington bogacz 2017 demo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the random covariance matrix of infinite depth and width limit of initialized deep neural networks using recent work on deep kernel shaping the authors show that shaping activation functio... | there is a clear consensus to accept this manuscript the results are impressive and have a nice theoretical orientation that will allow the results to have continued impact as the field advances there are some minor errors by the authors in the discussions which are worth the authors being aware of before submitting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to argue that the formulation of irgan a method from 2017 that aimed to use gans for the standard ir task of estimation querydocument relevance is now wellfounded and has inherent weaknesse... | the manuscript centers on a critique of irgan a recently proposed extension of gans to the information retrieval setting and introduces a competing procedure reviewers found the findings and the proposed alternative to be interesting and in one case described the findings as illuminating but were overall unsatisfied ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
synopsis of the paper this paper presents a new model for assessing to what extent a deep generative model is disentangled in contrast to existing methods this paper proposes an approach founded on topolo... | the paper proposes the use of topological similarity between conditional submanifolds for a given latent dimension as a metric for measuring disentanglement in generative models to estimate the topological similarity between conditional submanifolds the authors build upon an earlier work of relative living times rlt ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to train an image generator using only a short video clip or a single image the overall framework follows the design of singan that has an unconditional generator that genera... | the authors consider the problem of unconditional image generation in the lowdata regime such as learning from frames of a single video or even from a single image the main idea is to apply gans with a specific twobranch discriminator architecture such that the content features and layout features are handled independe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to learn a novel interpretable neurosymbolic encoder for sequences in an autoencoding framework the key idea is that one learns both a symbolic as well as a neural encoder and gradually m... | the authors develop a technique for unsupervised learning of neurosymbolic encoders some of the difficulty with the paper came from the accessibility to a broader machine learning audience though there is related work such as shah 2020 in machine learning the other difficulty came from the experiments there was both a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper identifies a gap in datasets with 3d assembly objects with paired manuals and introduces a dataset with 102 ikea objects paired with assembly manuals additionally they include several annotations ... | this submission proposes an interesting benchmark dataset with finegrained annotations for 3d ikea object assembly many of the concerns the reviewers raised are well addressed by the authors in discussion and it obtains fairly positive concerns at the end ac finds that the small scale of the dataset and the order ambig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
training for faster adversarial robustness verification via inducing relu stability as i am familiar yet not an expert on adversarial training and robustess my review will focus mainly on the overall soun... | this paper introduced a concept called relu stability to motivate regularization and enable fast verification most of the analysis was presented empirically on two simple datasets and with lowperforming models i feel theoretical analysis and more comprehensive and realistic empirical studies would make the paper strong... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed idea presented in this work is based on the observation that skilled programmers write and read source codes in a hierarchical way and pay close attention to the conceptual entities like statem... | the paper presents a multigranularity input represenaion and a pyramid attention mechanism for code summarizaiton tasks after extensive discussion the reviewers still cannot agree on accepting or rejecting this paper the key discussion points and my opinion are summarized in below 1 performance improvement a few re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a hybrid datadriven approach for solving the tsp based on graph neural networks and guided local search the model predicts the regret of including each edge of the problem graph in the so... | in this paper a novel machine learningbased method for solving tsp is presented this method uses guided local search in conjunction with a graph neural network which is trained to predict regret reviewers disagree rather sharply on the merits of the paper three reviewers think that the paper is novel interesting and ha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after looking over authors responses ive decided to increase my rating of the paper the main concern i original had was sufficiently motivating the need for this specific dataset compared to existing alter... | the paper presents a corpus of 10k news articles about protest events with document level labels sentencelevel labels and tokenlevel labels coarsegrained labels are protestnot and finegrained labels are things such as triggersplacestimespeopleetc all reviewers agree that this paper is interesting and the contributed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about exploring better baselines for sentencevector representations through randomly initializeduntrained networks i applaud the overall message of this paper that we need to evaluate our mode... | this paper provides a new family of untrainedrandomly initialized sentence encoder baselines for a standard suite of nlp evaluation tasks and shows that it does surprisingly wellvery close to widelyused methods for some of the tasks all three reviewers acknowledge that this is a substantial contribution and none see an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work devises a two step process for searching optimal models for unsupervised domain adaptation the first step involves a modification of darts where a discrepancy term between features for source and... | this work studies an intriguing problem of searching optimal architectures for unsupervised domain adaptation it is based on a twostage approach 1 transferable architecture search via darts mkmmd 2 transferable feature learning via backbone mcd the reviews for this paper are very insightful constructive and of high ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the prediction problem on tabular datasets and proposed a differentiable multilayer fernbased architecture the training and inference algorithms are provided and the computational complex... | the submission introduces the sparse hierarchical table ensemble shte based on oblivious decision trees for tabular data the reviewers acknowledged the clarity of the presentation and the importance of the computational complexity analysis however they also raised concerns regarding the novelty of the proposed method a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors argue as follows naively training on all driving data via imitation learning is suboptimal since some examples are harder than others a way to solve this is via upsamplingupweighting more diffi... | this paper describes an approach for upsampling a large dataset of driving scenarios in order to enable a learning agent to face the most difficult safety critical scenarios during learning it enables the learning agent to reduce collisions and increase route adherence using a small fraction of the training data stren... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper analyzes the bias of models in poolbased active learning settings where the sampling procedure is probabilistic nondeterministic it proposes two unbiased estimators of the population ri... | this is an excellent paper that provides analytical and empirical insights on the sample selection bias of poolbased active learning it provides two very practical methods of removing the bias also it shows that in overparameterized networks like modern neural networks the active learning bias could actually be useful... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work study the adversarial robustness of convolutional neural networks cnns based on the popular hypothesis about the frequency bias phenomenon in cnns by introducing a shapley value they quantify the ... | all reviewers find the papers approach on using shapley values to measure the impact of frequency spectrum on the adversarial robustness of cnns novel and the results interesting initially there were concerns about limited evaluation of the proposed approach and presentation authors response provided additional results... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach to provide contrastive visual explanations for deep neural networks why the network assigned more confidence to some class a as opposed to some other class b as opposed to th... | paper studies an important problem producing contrastive explanations why did the network predict class b not a two major concerns raised by reviewers the use of one learned blackbox method to explain another and lack of humanstudies to quantify results make it very difficult to accept this manuscript in its current... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes climb a continual learning benchmark on visionandlanguage tasks climb includes several cl algorithms and a modified vilt model it is presented to benefit for cl in multimodal tasks with ... | overall the reviewers have expressed positive support for the submission it proposes a continuous learning framework for multimodal models the reviewers concerns were quickly addressed in the responses the primary concern appears to be a weak motivation for the problem being tackled the authors propose a stronger frami... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary inspired by recent theoretical analysis of trpo and ppo that use mirror descent this paper proposes two new algorithms that directly minimize a mirror descent objective by taking multiple gradient s... | this paper proposes and studies a variant of policy optimizationmirror descent policy optimization mdpowhich was inspired by the mirror descent algorithm in the optimization literature the proposed algorithm attempts to find a policy parameter that maximizes the expected regularized advantage function where the regula... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper aims to present a method that allows efficient learning in neural networks architecture that present optimization blocks these blocks have the form of xi1 arg minx fx xi theta and can be... | the authors propose an intriguing alternative to ift or unrolled gd as a method for optimizing through arg min layers in a neural net by using a differentiable samplingbased optimization approach i found the general idea in the paper to be intriguing and thoughtprovoking the reviewers generally seem to have also apprec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper leverages two methods for improving generalization in standard training logit smoothing and stochastic weight averaging and show that these results can mitigate robust overfitting and imp... | this paper focuses on the problem of robust overfitting the philosophy behind sounds quite interesting to me namely injecting more learned smoothening during adversarial training this philosophy leads to two simple yet effective methods one leveraging knowledge distillation and selftraining to smooth the logits and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
main idea as a classical and effective optimizer vanilla sgd can always compete with or even outperform its momentum or adaptive variations when training overparameterized dnns the paper aims to theoretical... | the paper primary theoretical contribution claim is to establish the constant size sgd converges linear to the optimal solution in nonconvex settings this is shown in the interpolation regime for overparametrized situations when starting from points nearby to the optimum the papers empirical claim is to use relatively ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the previous version of the paper was not clear enough in the motivation and uniqueness of the work after a long and devoted discussion with the authors we agreed on certain ways of improving the paper pres... | pros the paper is wellwritten and clear and presented with helpful illustrations and videos the training methodology seems sound multiple random seeds etc the results are encouraging cons there was some concern generally about how this work is positioned relative to related work and the completeness of the relate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author presents supported policy optimization spot a policy constraint method to offline rl built upon an offtheshelf offpolicy rl algorithm spot introduces a pluggable regularization term applied dire... | this work presents an interesting idea of constraining the policy network in offline reinforcement learning rl to not only be within the support set but also avoid the outofdistribution actions effectively unlike the standard behavior policy through behavior regularization the proposed supported policy optimization ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript presents a concrete formalization of the autonomous reinforcement learning arl problem this problem refers to a scenario where the agents has no or very few resets during learning of the task... | this paper formalizes the setting where an autonomous rl agent operates with zero or very few resets and provides a novel benchmark for this setting with diverse environments ranging from simple manipulation to complex manipulationlocomotion the paper then uses this benchmark to analyze current methods and provide insi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends safaryans smoothnessaware compression method to the general unbiased compression method meanwhile the authors propose two nonlinear compressors for dcgd and diana strengths 1this paper h... | the reviewers are all in agreement that the paper passes the bar for acceptance and no significant concerns remain following the review period quite a few questions and concerns were raised in one of the original reviews and the authors gave very detailed responses that the reviewer found to be sufficiently convincing... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a endtoend deep learning model called netdnf to handle tabular data the architecture of netdnf has four layers the first layer is a dense layer learnable weights with tanh activation eq1... | the paper proposes an endtoend architecture netdnf for handling tabular data this is a novel approach in the relatively underexplored domain of application of neural networks the paper also presents justification of the design choices via ablation studies the paper is clearly written and empirical results are convinci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work uses bilevel optimization and a normalizing flow parameterization of learned sampling distributions this allows for learned sampling distributions for mpc without requiring differentiability of dy... | phase 1 strengths the submission is overall seen as providing intuitive technical contributions and and clear presentation the experiments support the introduction of nfs into mpc and the method works well will reduced number of samples weaknesses the evaluation is missing out on some important details such as a comp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
revision the authors have thoroughly addressed my review and i have consequently updated my rating accordingly summary modelfree reinforcement learning is inefficient at exploration if rewards are sparse ... | the paper presents recall traces a model based approach designed to improve reinforcement learning in sparse reward settings the approach learns a generative model of trajectories leading to highreward states and is subsequently used to augment the real experience collected by the agent this novel take on combining mod... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes extensions of neural logic machines nlm dong et al 2019 to make them more scalable nlms operate on dense hypergraph representations since the space requirement is exponential in terms of... | this paper has conflicting reviews with no strong advocate one of the positive reviewers states the caveat that paper is very dense to read and needs to be improved having looked at the paper myself i would agree with this criticism one of the negative reviewers states that the paper gives an incremental variant 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 icla an approach to tackle the problem of incremental and continual learning by keeping track of a models internal representations of data they identify and overcome the dr... | this paper tackles the challenge of continual learning it approaches the problem by combining a gaussian mixture model gmm to model concepts in a latent space and and a decoder system to generate new data points for pseudorehearsal and maintenance of previous information when new concepts arrive the gmm can be updated ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to express the stochastic representation over manifolds using a novelly defined riemannian neural stochastic differential equation rnsde the method is theoretically wellanalyzed... | there was a consensus towards weak acceptance among all the reviewers and i agree with this consensus this paper solves an important problem of applying sdes to manifolds it is clearly written and all the reviewers agree that the claims are wellsupported by strong experimental results on the other hand this clarity of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper gives proof of the existence of universal lottery tickets specifically a definition of universal lottery tickets is proposed and then proved based on functions approximation results for polynomia... | dear authors the paper was received nicely and discussed during the rebuttal period the current consensus suggests the paper be accepted but could have another round of revisions before it gets published definition of sparsity within theoretical results clarity of results this seems to be the main concern by one of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes to apply selfattention mechanism from vaswani etal to the task of clickthrough rate prediction which is a task where one has input features which are a concatenation of multiple o... | all reviewers agree in their assessment that this paper is not ready for acceptance into iclr and the authors did not respond during the rebuttal phase |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the sample complexity of instahide challenge in an idealized setting where it is assumed that each public and private image is generated using a standard gaussian distribution further simi... | all reviewers agree that this is a reasonable contribution but that it is also extremely limited in scope the authors suggest in one of their response that their technique could apply to any data mixing method with batched ksum structure such a larger level of generality might make the paper more interesting but at the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a system for food skewering by considering both visual and haptic information specifically the authors propose a neural networkbased framework that fuses the multimodal information durin... | the paper proposes a system for food skewering by considering both visual and haptic information and evaluates it thoroughly strengths interesting problem of food skewering jnun nczr relatively little data required nczr good evaluation jnun nczr weaknesses limited action space jnun limited amount of hardnesses ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes tpgnn a novel graph model for multivariate timeseries forecasting the most significant improvement of tpgnn is the ability to learn dynamic correlations between nodes tpgnn models a dynam... | this wellwritten paper has been carefully evaluated by four competent reviewers three of them rated the work as marginally acceptable one gave it full accept score in despite of a few identified deficiencies including limited cohort of comparison models overstated claims about performance of the proposed model at longr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to understand what makes general architectures trainable specifically what limits the maximum learning rate for deep learning models trained with sgdm from the loss curvature aspective they e... | the paper provides a thorough study of the evolution of hessian depending on a wide variety of aspects such as initialization architectural choices and common training heuristics the paper makes a number of interesting observations some of them are not really new but overall the experimental evaluation of the paper mak... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the trust region policy optimization trpo problem by replacing the kl divergence policy discrepancy constraint in trpo with optimal transport discrepancies such as wasserstein distance co... | the paper studies trust region optimization but replace the typical kl divergence with optimal transport distance which is a natural and meaningful generalization the authors provided a tractable algorithm by using optimization duality and provide experimental results on control tasks all reviewers appreciate the main... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
some argumentation might better be supported by some reference like when humans are tasked to perform in a new environment we do not explicitly know what param eters affect performance instead we probe t... | this paper proposes an approach for probing an environment to quickly identify the dynamics the problem is relevant to the iclr community the paper is wellwritten and provides a detailed empirical evaluation the main weakness of the paper is the somewhat small originality over prior methods on online system identificat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a method for hyperparameter optimization hpo for deep neural networks its main idea is to replace hyperparameters by trainable parameters which can be included in the training process... | the paper presents a gradientbased hyperparameter optimization method wherein a differentiable reparameterization is proposed for various popular cnn hyperparameters including kernel size number of channels and hidden layer size all reviewers have pointed out the lack of novelty such reparameterizations are standard a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel method for disentangling latent representations specifically for use with variational autoencoders this is accomplished by treating the latent codes as a tensor product of 1sphere... | three reviewers had a positive impression of this paper two of them were willing to champion it the main positive aspects mentioned by these reviewers were clarity methodological strength novelty and convincing experimental evaluation on the other hand the was one clearly negative vote raising issues about the proposed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a framework to accelerate dnn inference on small embedding systems using an extremely low bit network and a moderately quantized network jointly the mechanism of the proposed wo... | all four knowledgeable referees have indicated reject mainly because the novelty is limited they thought and i also agreed that it would be difficult to argue the novelty of the proposed framework simply by considering the more recent compressed network training technique as the reviewer mentioned through rebuttal in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves that indyks classical fp streaming algorithm for frequency moments satisfies the differential privacy dp requirements whenever p is in 01 this leads to the first dp streaming algorithm fo... | the reviewers agreed that this is a technically novel and interesting paper with results for a very natural problem and all voted for acceptance the paper gives more evidence for the wideranging compatibility between the goals of sketching and of privacy |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary the authors propose to use invertible networks to solve ambiguous inverse problems this is done by training one group of realnvp output variables supervised while training the other group via max... | this paper proposes a framework for using invertible neural networks to study inverse problems eg recover hidden states or parameters of a system from measurements this is an important and wellmotivated topic and the solution proposed is novel although somewhat incremental the paper is generally well written some theor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the idea of potentialbased reward shaping pbrs is to improve the performance of learning agents by incorporating additional domain knowledge into their reward function making it dense while mainta... | this paper presents an approach to reward shaping in rl centred on the question of how to select between different shaping signals as such this is an interesting research direction that could make important contributions in the area generally the reviewers felt that the paper is too preliminary in its current form ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to convert residual network architectures to equivalent plain networks after training this is accomplished by augmenting convolutional layers with dirac initialized filters folding extr... | this paper propose a reparametrization approach for pruning residual networks the proposed approach replace the skip layer connections with feedforward layers and show the equivalence to the original network however the current presentation is not very clear on the advantage of the proposed approach for pruning as two ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has proposed a novel trustbased multiview classifier the idea of transferring classification output to the parameter of dirichlet distribution to give uncertainty in output is novel and interesti... | the paper introduces a new idea for multiview classification using a dirichlet distribution over the views to model uncertainty the paper appears to be clear well written and sound also the experimental comparison is thorough the authors have given pertinent responses to the reviewers questions including wrt comparin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the idea of adversarial attacks in supervised learning of nns to a full repurposing of the solution of a trained net the note of the authors regarding transfer learning is making sense ... | reviewers mostly recommended to accept after engaging with the authors i have decided to reduce the weight of anonreviewer3 because of the short review please take reviewers comments into consideration to improve your submission for the camera ready |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an extension of message passing gnns that can learn approximately universal graph representations specifically based on the colourings search tree method of exact isomorphism solvers the... | this paper presents a neural version of individualrefinement ir architecture for improving the expressiveness of gnn in terms of isomorphism tests as ir is the dominant approach of practical graph isomorphism tests adapting ir to gnn is a novel and important idea as ir suffers from the exponential number of branches th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a brand new dataset to fill in the vacancy of current conversational ai community specifically the introduced dataset aims at providing a platform to perform largescaled knowledgegrounded... | the paper proposes a new dataset for studying knowledge grounded conversations that would be very useful in advancing this field in addition to the details of the dataset and its collection the paper also includes a framework for advancing the research in this area that includes evaluation methods and baselines with a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes qscan which considers local coordination within a subset of the agents and dynamically solves each task by subteam coordination in order to incorporate subteam coordination qscan extends... | this paper presents qscan a hierarchical approach to value function decomposition where the agents are grouped into subteams to solve different subtasks via local coordination qscan extends the monotonic mixing network in qplex in order to represent subteam coordination and shown to outperform qplex and qmix in a numbe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper asks an interesting question one that appeared eternally relevant for nlp are languages harder or easier to contextually languagemodel by transformer in light of their varying morphological comple... | the authors address a very important question pertaining to the relevance of morphological complexity in the ability of transformer based conditional language models through extensive controlled experiments using 6 languages they answer as well as raise very interesting questions about the role of morphologysegmentatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to reutilize pretrained maml checkpoints for outofdomain fewshot learning combining with uncertaintybased adversarial training and deep ensembles pros 1 the idea of combining metalearni... | this paper considers a new and practical setting of metalearning for outofdomain task adaptation where a pretrained model exists but the original metatraining data is not available the authors incorporate several ideas including deep ensembles adversarial training and uncertaintybased step sizes and achieve competitive... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a modelbased offline imitation leaning algorithm dmil the method jointly trains a policy a dynamics model and a discriminator in an iterative algorithm the policy and the dynamics model ... | paper proposes a method for offline imitation learning by setting up a three party game the problem is definitely interesting to the corl community the presentation is largely clear the reviewers are generally enthusiastic about the method and appreciate realworld experiments however the main drawback is missing compar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a gradient estimator for expectationbased objectives which is called gogradient this estimator is unbiased has low variance and in contrast to other previous approaches applies to either... | this clearly written paper develops a novel sound and comprehensive mathematical framework for computing low variance gradients of expectationbased objectives the approach generalizes and encompasses several previous approaches for continuous random variables reparametrization trick implicit rep pathwise gradients and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a domainagnostic ssl benchmark suite consisting of six domains each domain consists of one unlabeled training dataset and several transfer datasets for evaluation embedding modules are us... | all reviewers vote for accepting the paper one initial concern was an unusual choice of pretraining dataset cifar10 but the authors switched to imagenet for pretraining which is more common the authors also extended the range of languages to include nonwestern languages which was another concern brought up by a reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presents a multiagent extension to the dynamic algorithm configuration dac framework as such the paper discusses how to extend the formulation of a contextual mdp to a contextual cooperative multia... | after reading the reviews feedbacks and discussions i lean towards acceptance reviewers are all in favour of acceptance with different levels of enthusiasm some reviewers found particularly interesting that marl methods could be applied to dac problems but other reviewers were not entirely convinced why marl is more su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper unifies under one theoretical framework the different stateoftheart regularization approaches for linear collaborativefiltering recommendation models which leverage the useritem interaction data ... | the paper presents a new perspective on recommendation systems categorizing them as linear predictors where the main difference between the various methods is the regularizer the authors then propose an objective function that aims at optimizing the frobenius norm while maintaining a lowrank solution and present algori... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose to replace gaussian distribution over latent variables in standard variational autoencoders vaes with a sparsity inducing spikeandslab distribution while taking the slab to ... | the paper develops and investigates the use of a spikeandslab prior and approximate posterior for a vae it uses a continuous relaxation for the discrete binary component in the reconstruction term of the elbo and an analytic expression for the kl term between the spikeandslab prior and approximate posterior experiments... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the role of the biologically realistic divisive normalization computation in the context of deep learning models trained to perform image classification tasks the authors compare divisive ... | this paper explores addition of a version of divisive normalization to alexnets and compares performance and other measures of these networks to those with more commmonly used normalization schemes batch group and layer norm various tests are performed to explore the effect of their divisive normalization scores were... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents crosslayer attention cla modules to find informative keys across different cnn layers for each query feature furthermore an adaptive crosslayer attention acla is also formulated to dynami... | the paper introduces an crosslayer attention mechanism for image restoration to reduce the computational complexity the framework uses deformable convolutions and an adaptive selection for reducing the number of keys as well as a neural architecture search the paper received three borderline reject recommendations and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper emphasizes the importance of context and nuance when discussing efficiency the authors explain different efficiency metrics and the distinction between training and inference efficiency they then... | overall the reviewers like the ideas in this paper it calls out some of the issues with the current line of thinking in the mlai community there were some concerns but overall this paper offers a new way to think about present and question efficiency results this could be quite infulential i think this is interesti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an approach to generate a named entity linking dataset with a temporal dimension it identifies various phenomena related to the problem and the authors tackle them in the data generatio... | this paper describes a dataset for entity linking with entities that may change over time both in how they are referred to as well as their kb description as well as new emerging entities baselines are evaluated on this dataset reviewers appreciated the general thrust of the work the resource itself and the clear pres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses three problems in the context of online computing with a sample in this context the online algorithm is presented with a random sample of a pfraction of the input sequence and then as to... | this paper gives improved bounds for the assignment loadbalancing problem the steiner tree network design problem and facility location clustering in the case when a some of the input is given as a sample this is a strong paper at the intersection of online algorithms and learning |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
apart from being more flexible the proposed framework combines different features like 1 input prediction 2 datageneration given new inputs 3 continuoustime etc into a single unified framework while margina... | meta review this paper proposes a learning framework for timeseries data where a ode model in a latent space is learned together with a measurement process from a series of system inputs and outputs this is a generative model which allows natural interpolation of time series and prediction of output for new inputs pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes searchguided training for structured prediction energy networks spens spens are structured predictors that learn an inputdependent nonlinear energy function that scores candida... | this paper proposes searchguided training for structured prediction energy networks spens the reviewers found some interest in this approach though were somewhat underwhelmed by the experimental comparison and the details provided about the method r1 was positive and recommends acceptance r2 and r3 thought the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new method for haplotype reconstruction in polyploid species and viral quasispecies their approach relies on graph message passing neural network the paper offers a clear and careful e... | this paper presents a method neurhap that addresses the haplotype reconstruction problem using a combination of graph representation learning and combinatorial optimization the reviewers engaged in a detailed discussion with the authors on the merits of the paper some reviews found weakness in the novelty yet as a cont... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1the idea of addressing task heterogeneity from the perspective of distribution is novel in the community of metalearning which makes sense to me 2this paper is theoretically sound due to a clear derivation... | meta review this paper proposes a novel method stmaml that empowers modelagnostic metalearning to learn from multiple task distributions the method encodes tasks using a stochastic neural network module that summarizes every task with a stochastic representation the proposed stochastic task strategy learns a distributi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a combinatorial approach to controlling and improving the effects of diversity a relevant and interesting feature in bayesian networks the approach is general in the sense that it involve... | the authors present a new framework to make deep ensembles provide better coverage of the posterior and be less reliant on initialisation the authors generally did a good job presenting their approach avoiding dubious claims that deepensembles are nonbayesian and instead focusing on ways in which deep ensembles can be ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the problem of universal replies plaguing the seq2seq neural generation models the problem is indeed quite important because for problems with high entropy solutions the seq2seq model... | this paper seeks to shed light on why seq2seq models favor generic replies the problem is an important one unfortunately the responses proposed in the paper are not satisfactory most reviewers note problems and general lack of rigorousness in the assumptions used to produce the theoretical part of the paper eg strong a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces the semantic probabilistic layer spl a replacement for the predictive layer of neural networks that is composed of probabilistic circuits and ensures the outputs satisfy given logical c... | on the basis of the reviews i am recommending acceptance a weakness for me is that neural models tend to learn logical constraints on structured labels directly from the data so in many cases enforcing the constraints does not improve performance however the idea of putting sumproduct networks at the classification lay... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is focused on slicedwasserstein sw and maxslicedwasserstein maxsw distances and it provides important theoretical results on three fronts 1 empirical convergence rates 2 robustness to data contam... | all the reviewers are positive about the paper they found that it is well written and provides very interesting theoretical as well as practical contributions which are relevant for the machine learning practice |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a new theoretical framework to understand the ability of convnets to deal with pattern recognition tasks the authors suggest a new property of convents where filters have large dot prod... | this paper considers a new model of input data specific for image classification problems in particular the high level idea is that each image contains certain patterns and which patterns it contain decides its label in this framework under some stronger assumptions eg patterns are orthogonal one positive pattern and o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers and formulates a generalized version of the private information retrieval pir problem where a user aims to retrieve one of m files from a dataset but wants to keep the index m private u... | the paper got mixed ratings however keeping in mind the low confidence of some of the reviewers the paper needed an additional look the ac himself went over the paper the paper presents an interesting formalism for private information retrieval as reviewers have pointed out the formalism is based on several existing id... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with federated learning fl for graphs specifically the authors investigate fl for heterogeneous graph distributions that can arise when the local graphs belong to different communities withi... | the authors presents a new subgraph federated learning approach to learn a single gnn model that computes embeddings based on the relationship between local graphs this approach goes beyond the previous approaches that consider the local subgraphs separately the paper is interesting and present some novel ideas but i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of online learning in competitive settings in twosided alphareducible matching markets a general framework for the construction of decentralized communication and coordination... | executive summary the paper studies twosided matching markets in the stable matching variety on one side there are the workers and on the other there are firms each worker has a ranking over all firms and each firm has a ranking over the workers the goal is to find a stable matching where no two worker firm pairs woul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros superior empirical results are the key highlights of this paper the experiments are well designed and benchmarked against the stateoftheart models cons one typically uses affine transformations of ... | the paper proposes a data augmentation technique to ensemble classifiers reviewers pointed to a few concerns including a lack of novelty a lack of proper comparison with stateoftheart models or other data augmentation approaches overall all reviewers recommended to reject the paper and i concur with them |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a 3d object segmentation method that can be trained in an unsupervised fashion the core underlying assumption is the rigid motion dynamics and shape invariance between point cloud sequen... | this is an interesting paper that proposes a novel unsupervised approach for object segmentation from point clouds for rigid objects the strong results demonstrated can be impactful both for 3d as well as potentially 2d vision after rebuttal all 4 expert reviewers are convinced that the paper should be accepted so the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary and contributions briefly summarize the submission and its contributions if desired add formatting using markdown and formulas using latex for more information see faq authors demonstrate how new... | the authors have compiled a new dataset using data from the greek parliament the dataset is interesting because it is comprehensive data over 30 years in modern greek it is also a political speech database that accounts for modern greek politics this data will be helpful for people working on nlp to test their models a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper targets at stylizing a mesh with a text prompt it represents appearance of a mesh as spatially varying brdf normal and lighting and matches the clip feature of rendered image and given text promp... | this paper presents a new clipdriven stylization method given an input mesh and text description compared to previous works text2mesh the paper introduces a more expressive rendering model based on learnable svbrdf and normal maps many reviewers found the paper easy to follow the idea promising and the results visuall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper demonstrates a claim no spurious local minima in the optimization landscapes of deep neural network given the width is onl where n is the number of training samples and l is the depth st... | this paper studies an interesting problem the landscape of neural networks i agree with the authors comment that this work improves our understanding of one aspect of neural networks and i do find the result of this paper is of interest to some extent reviewer 5 pointed out the technique used in the paper is interestin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit the qualitative results help illustrate what the variational bias entails in practice and indeed the worse coverage constitutes a problem worth overcoming the ant experiment was a good attempt at showi... | this paper revisits the underexplored implicit variant of variational intrinsic control introduced by gregor et al they identify a flaw that biases the original formulation in stochastic environments and propose a fix reviewers agree that there is a at least a potential r4 contribution here even the description of wha... |
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