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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a symbolic regression model using transformers it enables to pretrain the model using datasets from the other domain which is helpful when the target domain dataset is relatively small m...	the paper proposes a transformerbased approach to perform endtoend symbolic regression all three reviewers seem to agree on the usefulness of the proposed approach to reduce inference time as pointed out by reviewer hxn5 although the performance is not superior the advantage of using pretraining over gpbased approach ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed an improved variant of the stochastic compositional optimization sco framework to train gnns replacing all nodes moving averages with a sparse representation the proposed algorithm only ...	this work proposes to train largescale graph neural networks by replacing the moving averages used in the stochastic compositional optimization sco framework with sparse moving averages this reduces the memory required for sco allowing their algorithm to scale to larger graphs the consensus is that the approach is r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper revisits the stochastic proximal point algorithm sppa and apply sppa to solve nonconvex optimization problems with efficient subproblem solvers firstly there is a work chen et al 2020 which also...	all reviewers recommend rejection concerns were raised in terms of technical correctness quality of presentation and the quality of experiments there was no rebuttal the ac agrees with the reviewers and recommends rejection
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper propose selective convolutional unit scu which can replace the bottleneck in resnet block the difference between scu and bottleneck is that scu adds channel distributor cd and noise controller nc...	this paper proposed selective convolutional unit scu for improving the 1x1 convolutions used in the bottleneck of a resnet block the main idea is to remove channels of low importance and replace them by other ones which are in a similar fashion found to be important to this end the authors propose the socalled expected...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposed a simple yet effective greedy algorithm with a new heuristics on checkpointing deep learning models so that people could train large model with restricted gpu memory budgets the ...	the paper presents an online algorithm for dynamic tensor rematerialization the theoretic analysis on the tensor operation and memory budget bound of the proposed method as well as on the relationship between the proposed method and optimal static analysis method is novel and interesting it covers a pretty comprehens...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper suggests an extension of randomized smoothing wherein the degree of smoothing is optimized both at training and testtime on each individual sample at training time the model is first pretrained u...	the paper considers an extension of randomized smoothing where the smoothing noise may differ for different points the resulting method shows good performance experimentally however the reviewers raised a number of problems which at the moment precludes the acceptance of the paper such as the following the paper anal...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors investigate relational adversaries adversarial attacks that lie in a reflexivetransitive closure of logical relation the authors focus on such attacks as they are motivated by attacks ...	i thank the authors and reviewers for the lively discussions about the paper all reviewers indicated that the work has merits and novelty however there were concerns about showing the benefits of the proposed method experimentally specially on malware applications given all i think the paper needs a bit more work to be...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: interesting on language emergence under the lens of cognitive theory it introduces the externalist view of language which regards language and the abstractions that it tries to represent as a tool to be lea...	we are deciding to accept this paper on the merits of it presenting a view of cognition and language that may be relevant to attendees of the emergent communication workshop we believe there may be some confusion between reviewers and author and the program chairs would like to apologize for causing this confusion an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: after reading author responses thank you to the authors for your detailed responses with regard to the highlighted implication that the harder feature can be obscured completely by a spurious one ie there ...	the paper studies the features extracted by the pretrained language model and how finetuning makes use of these features the paper is wellmotivated by two lines of research in the nlp area 1 probing approaches for understanding the features extracted in the pretraining model 2 model behavior analysis that shows models...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper explores the landscape of the objective function in training a singlehidden layer neural network with relu activation and l2 regularization impressively the paper has the following contributions ...	a conceptually and technically highly innovative paper which reinforces an existing powerful connection between the critical set of twolayer relu networks and suitable convex programs with cone constraints the reviewers are in strong consensus that the paper is sound and has merits for publication
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new model for unsupervised event detection which has the following three technical contributions it proposes individual criterion and mechanisms to detect expected and unexpected obse...	thanks for your submission to iclr this paper considers a variational inference hierarchical model called variational predictive routing prior to discussion several reviewers were on the fence about the paper most notably having concerns about some of the experimental results as well as various clarity issues through...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes relaxing ctcbased models which train the model with the objectives that allow nonmonotonic alignment between the output and the reference furthermore the authors propose to finetune a c...	this paper proposes relaxing ctcbased models which train the model with the objectives that allow nonmonotonic alignment between the output and the reference although there is some concern about the empirical results most reviewers think the motivation is clearly given and the paper is wellwritten
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides various ablation studies to show the effect of scaling various architecture parameters on the performance of a downstream task the studies are performed on encoderdecoder transformer arc...	the results reported in this paper and the model checkpoints released are of interest and broad utility to the community in the opinion of the nlp while one reviewer was somewhat negative most reviewers were in favor of acceptance of this paper which expands the results from 1 to downstream tasks the ac therefore reco...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a denoising diffusion probabilistic model ddpm to learn to produce natural spectrograms from noise without a condition this enables them to train a generative model on unlabelled speech ...	the paper proposes using unlabelled speech data for tts by decoupling parts of the model however all reveiwers agree that the technique is already known and the experimental results are not strong enough to make advantage of training on more data a reject
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors present a neural network based method to solve a special class of integral equations their approach involves training a neural network with legendre polynomial based activation functi...	all three reviews for this paper were negative and the authors did not provide rebuttals or comments on the reviews the main drawback of this work identified by the reviewers is that the empirical study is not sufficient eg limited comparisons and ablation studies as well as lowdimensional examples
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies the minimum enclosing ball problem where we are given a set p of n points in ddimensional euclidean space and the objective is to output a ball that contains all these points such that the...	the paper improves the stateoftheart for the minimum enclosing ball problem under differential privacy constraints moreover the algorithm and its analysis are simple and intuitive the reviewers agreed that the paper is a concrete advance in the area and the ideas may lead to a practical implementation the authors car...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the aspect of preserving geometry on the learned latent space representations in particular the paper looks at a hierarchy of geometrypreserving mapping isometry conformal mapping of degr...	this paper proposes an extension to learning a representation it motivates proposes and evaluates a new regularizer term that promotes smoothness via enforcing the representation to be geometrypreserving isometry conformal mapping of degree k comparisons with a standard vae and fmvae chen et al 2020 are shown and exper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: irda method for sparse convolutional neural networks this paper considers the problem of training a sparse neural network the main motivation is that usually all state of the art neural networks size or t...	this paper proposes an iterative regularized dual averaging method to sparsify cnn weights during learning the main contribution seems to be in an iterative procedure where the weights are pruned out greedily by observing the sparsity of the averaged gradients the reviewers agree that the idea seems straightforward and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary and contributions of paper this paper modifies the work when to trust your model modelbased policy optimization janner 2019 to handle the metalearning case the definitions paper structure and algo...	the paper presents a metalearning for modelbased rl that introduces branched rollouts to improve sample efficiency of the learned model while the paper addresses an important topic of sample efficiency in rl and provides theoretical analysis the reviewers raised concerns with the novelty and clarity the extension to p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a secondorder method for minimizing secondorder smooth and convex problems based on an extragradient template thus term it as extranewton the key feature of this method is that it uses a ...	a solid theoretical paper that proposes a secondorder method of iteration complexity osigma t12 t3 for minimizing hessiansmooth convex functions a notable feature of the proposed method is its ability to adapt to problem parameters the paper has generated considerable discussion between the reviewers and the authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose to use a graph hypernetwork ghn to speedup architecture search specifically the architecture is formulated as a directed acyclic graph which will be encoded by the bidirectional ghn as a...	the paper proposes an architecture search method based on graph hypernetworks ghn the core idea is that given a candidate architecture ghn predicts its weights similar to smash which allows for fast evaluation wo training the architecture from scratch unlike smash ghn can operate on an arbitrary directed acyclic graph ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an approach to learning an invariant representation which simultaneously learns the representation along with an environment partition over samples based on auxiliary measurements such a...	this paper has been well received by the reviewers all reviewers are positive including significant revisions upwards after rebuttal notable strengths are clarifying when you cancannot identify environments for invariant learning and proposing sufficient and necessary conditions for the same further some reviewers hav...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework called temporal point cloud upsampling to capture temporal and spatial features in light of the difficulty to obtain point correspondence annotation the framework is constitu...	the paper proposes a gan framework for dynamic point cloud superresolution it does not need scene flow supervision for training and has an interesting adaptive upsampling mechanism results are shown on several datasets and are reasonably convincing overall all the reviewers are slightly positive about the work after th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose the novel technique for neurosymbolic program induction for this they combine program synthesis neural compilation and differentiable optimization together the novel algorithm offers inter...	the paper is good for the workshop please try to make the paper more readable and going forward you need a better comparison with existing work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as the title suggests the paper does a detailed investigation of how simsiam avoids collapse without negative training examples the key idea is to decompose the original vector into a center vector componen...	this paper provide an explanation why contrastive learning methods like simsiam avoid collapse without negative samples as the authors claimed this is indeed a timely work for understanding the recent success in selfsupervised learning ssl the key idea in this submission is to decomposes the gradient into a center vect...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyses the roles of virtual nodes in the link prediction problem extensive experiments are conducted to support the claims and show that virtual nodes can improve the link prediction performan...	this paper considers gnns for linkprediction predicting which links are likely to appear next an idea that has been used before is to add virtual nodes to improve the underreaching problem in shallow gnns this paper considers this systematically in the context of link prediction specifically one approach developed is t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new way of doing generative modeling with an incomplete potentially labelled heterogeneous data set dealing generatively with heterogeneous andor incomplete data is an important open ...	thanks to the authors for this submission the reviewers agreed that this work presented an interesting and novel combination of techniques to achieve good imputation results the reviewers also agree that the authorresponse and subsequent revisions have improved the submission and addressed the vast majority of review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies postedprice auctions for roiconstrained value maximizing bidders who seek to maximize their total value subject to the condition that the returnoninvestment roi on their spend is at least ...	this paper got uniformly positive reviews that said reading into the actual text of the reviews it is evident that the results are not as strong as one might like the biggest limitation is that the result rely heavily on personalized pricing for reducing the problem to one of utility maximization for utility maximizers...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors introduced a new discrete datadependent prior to the pacbayesian framework and prove a high probability generalization based on floored gd the bound depends on the gradient differe...	authors study generalization properties of gradientbased optimization algorithms via a pacbayesian approach based on a datadependent prior authors establish a generalization bound for fgd fsgd gld and sgld the authors also provide convincing empirical studies to demonstrate that their results are not vacuous authors ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes learning an underlying pde through the use of a physicsinformed neural network and sparsity regularization on the partial derivatives a neural network representing the pde solution is tr...	the reviewers are in consensus that this manuscript falls just short of the bar i recommend that the authors take their recommendations into consideration in revising their manuscript with a particular focus on comparison to the state of the art
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes two novel norms selfnorm and crossnorm for model robustness selfnorm recalibrates style in features to reduce texture sensitivity crossnorm performs style augmentation swap chan...	this paper proposes two mechanisms selfnorm used during training and inference leveraging an attentionbased recalibration of mean and standard deviation for instance normalization and crossnorm which performs crosschannel swapping of meanstdev is is shown that the combination often combined with augmix performs well ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors research the problem of robust metric learning in this work they propose a minmax formulation to learn the adversarial example and robust representations simultaneously the empirical study confirms ...	this paper proposed a novel adversarial deep metric learning approaches the reviews pointed out the paper proposes an interesting idea and it is among the rare works that address directly robust metric learning which an important topic for efficient metric learning some concerns were raised about the analysis and the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper suggests using neural networks to solve the nested optimisation problem of designing a disclosure scheme in persuasion schemes this allows authors to remove the assumption of prior knowledge of re...	the paper studies the bayesian persuasion model in a more realistic setting where the sender does not know the receivers utility but can interact with the receiver repeatedly to learn the utility the paper proposes a learningbased framework to optimize the senders strategy then analyze the theoretical properties of the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents self imitation via reduction sir an approach to learning longhorizon tasks by successively reducing it to easy to solve tasks generating solutions to these easier tasks and selfimitation...	the paper proposes a method for solving challenging sparse reward problems by performing task reduction followed by selfimitation learning from solution trajectories to the reduced tasks the core innovation seems to me to be the uses of the reduction search which is essentially a form of recursive subgoal selection bu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this submission focuses on the cold start problem of new entities new items in a recommender system new treatments in a medical application etc it combines the strengths of the relations between a new entit...	this work presents a straightforward and easy to understand method for using hypernetworks to adapt existing models to be able to increase their output space the method itself is also interesting and is detailed enough for reproducibility however the experiments and results should be improved by expanding the demonstra...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work is wellwritten but the quality of some sections can be improved significantly as suggested in the comments i have a few main concerns that i explain in detailed comments among those the paper argu...	this work introduces a rewardshaping scheme for multiagent settings based on the tderror of other agents overall reviewers were positive about the direction and the presentation but had a variety of concerns and questions and felt more experiments were necessary to validate the claims of flexibility and scalability w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the branched optimal transport bot problem with multiple sources there is a finite number of sources with supplies and sinks terminals with demands located at fixed positions we optimiz...	the paper presents novel structural and algorithmic results for solving the branched optimal transport problem in the problem flow is to be routed from sources to sinks terminals in the plane with the possibility of adding nonterminal intermediate nodes the flow cost on each edge is proportional to the distance between...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: using a generative model as the surrogate distribution for kernel twosample test is novel an important and new application of deep generative models strong experiments on synthetic and realworld time se...	this paper proposes a new kernel learning framework for change point detection by using a generative model the reviewers agree that the paper is interesting and useful for the community one of the reviewer had some issues with the paper but those were resolved after the rebuttal the other two reviewers have short revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to let the discriminator estimate the geometry of the scene from the 2d rendered version of the generated 3d scenes to improve the geometry of the generated scenes the discriminator est...	this paper presents a new 3daware image generative model compared to previous methods such as pigan the paper introduces a new geometryaware discriminator which helps the model learn better 3d shapes many reviewers found the paper wellwritten the idea novelinteresting and the results convincing they also raised several...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the study of nguyen et al 2020 reported that wide and deep neural networks tend to have similar feature representations across layers called block structure nguyen et al 2020 also revealed that the block st...	this paper experimentally shows that the blockstructure of similarities between layers typically appears for different models and such a structure is mainly induced by small set of dominant datapoints moreover the dominant datapoints are not just noisy artifacts but represent some common image patterns such as backgrou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a mechanism c2far to parametrize a conditional distribution via successive hierarchical binnings parametrized by an autoregressive function here a neural network this parametrization c...	the reviewers highlight the clarity of the writing the effectiveness of the proposed approach resulting in sota performance and in particular the comprehensive and clear empirical evaluation with ablation studies and stability experiments as well as a laudable discussion of the limitations of the proposed approach the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper advances the previously proposed direct speechtospeech translation s2st model translatotron direct s2st has many benefits but has quite limited research effort the major contributions of this wo...	the paper proposed a speechtospeech translation s2st model the model is trained endtoend from speech to speech along with an auxiliary speechtophoneme task experiments firmly support multiple claimed improvements to the previous model however most reviewers argue the novelty and clarity of this paper making this paper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: tackling an interesting medical problem to provide realtime information to the examiner the authors identify correctly weaknesses in their method ie overfitting of the networks the approach itself is also p...	the review highlights numerous problems with the current progress of the work while midl encourages early submission of ongoing research as short paper this work is not mature enough for publication i therefore recommend rejection
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed an analysis of sparsely distributed objects in the context of cell segmentation instead of otherwise common error emulation approaches based on perturbations there are no obvious flaws ...	the authors present a systematic analysis of the effects of different annotations errors inclusion omission bias on the behaviors of 3 different deep learning architectures for segmentation while the analysis is focused on the cell segmentation in microscope images the reviewers agree the proposed evaluation framework ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper experiments on a large number of dataset pairs and models to access the factors for outofdistribution generalization ability importantly it shows that many ood performance proxy metrics do not co...	this paper presents a largescale empirical study of deep neural networks outofdistribution ood generalization on visual recognition tasks the main motivation is that previous studies for ood generalization consider specific types of distributional shifts and are evaluated with specific datasets and architectures and th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper investigates the effectiveness of random pruning for sparse training specifically the paper adopted several random pruning methodserk uniform uniform and compare the results with nonrandom prunin...	summary this paper builds on previous work on sparse training that shows the many modern sparse training techniques do no better than a random pruning technique that selects layer wise rations but otherwise randomly selects which weights within a layer to remove the key difference in this work is to take these exist...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work solves the entropy regularized meanfield model for a twolayer neural network as the fenchelrockafellar dual of that problem is a finite dimension problem they consider an sdcatype scheme to solve ...	this is a solid paper and considers the problem of training a wide neural network with a single hidden layer this can be framed as an optimization problem in the space of probability distributions with a suitable entropy regularization where each atom in the distribution corresponds to a hidden neuron the dual of this ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper revisits the regret of undiscounted reinforcement learning in mdps with a birth and death structure specifically they consider a controlled queue with impatient jobs and the main objective is to ...	this paper studies reinforcement learning in a restrictive set of mdps it showed that a tweaked version of the classic ucrl2 algorithm achieves an upper bound independent of the diameter and state size this bound is obtained by carefully analyzing the stationary measure for this restricted mdp class and exploiting its ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: when learning with noisy labels under certain robust loss designs the authors focus on addressing two open questions 1 why do robust losses underfit and 2 what affects the robustness of a loss the two quest...	the paper focuses on investigating the underfitting issue of certain robust loss functions and why functions deviating from theoretical robustness conditions can still be robust a key vehicle to support the analysis is a standard form with equivalent gradients that enables the investigation of different robust loss fun...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an interesting approach for estimating densities and providing uncertainty estimates for these densities the paper extends normalizing flows in several ways 1 by using objective functions...	the paper proposes a framework for training autoregressive flows based on proper scoring rules the proposed framework is shown to be a computationally appealing alternative to maximumlikelihood training and is empirically validated in a wide variety of applications all three reviewers are positive about the paper and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper finds its motivation in scheduling for semiconductor manufacturing systems it proposes a deep rl algorithm for tackling the highly delayed feedback usually encountered in this type of dynamic sys...	this paper deals with solving the problem of scheduling machines in a semiconductor factory using an rl approach as the different actions take a different amount of time to complete the authors propose to use a predictron architecture to estimate the targets in dqn the experimental results show that the proposed method...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors analyze two different approaches to learning to learn which correct various pathologies however primarily restricted to the quadratic setting the first is the use of the log objective rather tha...	the paper studies the problem of learning the step size of gradient descent for quadratic loss interesting theoretical results are presented which formally support the empirically observed problems of explodingvanishing gradients as well as another result showing that if metalearning is done based on the validation per...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents novel bounds that hold for the dro hypothesis interestingly unlike erm uniform bounds are not required and for mmddro the final bound depends only on the optimal hypothesis also unlike lo...	the paper gives generalization bounds out of distributionally robust optimization dro unlike standard bounds eg erm that depend on the complexity of the function space the presented dro bounds depend on the ambiguity set geometry and its compatibility with the true loss function the authors instantiate their dro bounds...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is well written and easy to follow the proposed framework is technically sound the experiments are comprehensive ablation study is conducted to demonstrate the effectiveness of graph similarit...	suggest acceptance with the following revision advices 1 as the reviewers suggested there are relevant works that need proper survey and citations such as the works using superresolution eg a comparative study of cnnbased superresolution methods in mri reconstruction and its beyond signal processing image communication...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the cramerwold autoencoder the first contribution of the paper is to propose the cramerwold distance between two distributions based on the cramerwold theorem more specifically in order ...	the reviewers in general like the idea of using the cramerwold kernel noting that its heavy tails and closed form solution are appealing properties that lead to increased stability and improved training the main concern was novelty as this paper can be seen as simply changing the kernel in waemmd one suggestion is to m...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to use dl to predict the optimal strategy in words for angry birds levels it applies a image captioning model to predict the optimal strategy description using the screenshot of the setup...	this paper trains a neural network to predict expert strategies described in natural language in the game of angry birds while the reviewers agreed this was potentially interesting there was also a consensus that the scope of the paper was too narrow that the writing was imprecise and that the evaluations too few and t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strong points 1 fairness and privacy are both relevant research areas and knowing how they interact and finding ways to achieve both is certainly important 2 the proposed approach makes sense at a high l...	this paper proposes an algorithm to address the disparate effect that dp has on the accuracy of minoritylowfrequency subpopulations unfortunately the work does not actually guarantee or analyze the resulting privacy guarantees in particular it may provide much worse privacy or no privacy at all to the minority subpopul...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the key motivation of this work is that the bottleneck of replay in continual learning is the processing time in each training cycle and not storage space for the historical dataset hence this work has been...	this paper studies the problem of dynamically selecting samples to replay given that all previous data is stored the paper shows that in this setting selecting which samples to replay outperforms several baselines over a variety of datasets i believe that the reviewers understood this work but their initial opinions ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: intuitively the same amount of data poisoning will have a larger impact when the learner is solving a constrained optimization problem than an unconstrained one this paper proposed an attack algorithm spec...	the authors consider the impact of designing fair algorithms on adversarial robustness the particular focus is on poisoning attacks they show experimentally that for some datasets and modelsalgorithms that using fair algorithms increase adversarial vulnerability compared to the standard training procedure ignoring fair...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is overall well written despite some minor typos the presentation is clear the state of the art is well documented and the main mathematical claims are proved and the asymptotic correctness of the...	meta review the authors introduce a novel method to estimate transfer entropy between longranged dependency time series with the key novelty of using a generic discriminative model together with a local sensitivity hashing to augment the training data the authors show theoretical convergence results and numerical resul...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a model for text generation based on target dependency relations that should be in the output the wordlevel output probabilties are modified to increase the likelihood of generating word...	the paper describes a model for text generation based on target dependency relations that should be in the output the wordlevel output probabilities are modified to increase the likelihood of generating words that match the target relation evaluation is performed on several datasets formulating the task as text generat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper calls into question the significance of previous results on selfexpressive deep subspace clustering sedsc models which are touted as successful extensions of the linear subspace clustering...	the authors carefully study a class of unsupervised learning models called selfexpressive deep subspace clustering sedsc models which involve clustering data arising from mixtures of complex nonlinear manifolds the main contribution is to show that the sedsc formulation itself suffers from fundamental degeneracies and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper aims to address the important problem of training ai agents in multiagent games standard selfplay training leads to agents that overfit to a particular partner and even naive population based trai...	this paper has several issues 1 the empirical results were incomplete and hard to interpret 1a the paper uses nonstandard benchmark domains making comparisons with results in the literature very difficult the paper does not use the same environments as related baselines they build on some progress on this last point wa...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: some notions in section 2 are confusing to me maybe because im not familiar with related literature for example i dont understand why eq2 is a kind distance measure between a sample x and a hypothesis how...	while the results are promising several concerns were raised in the reviews leading to the reject recommendation at this time there is an agreement among all reviewers that the paper would benefit from a revision most reviewers felt that the paper lacks a rigorous and compelling theoretical justification for the prop...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel method for computing the derivative of the weights assigned to datapoints in a dataset with respect to the generalization error of a learning task the core idea being that one can...	this paper has been independently reviewed by four expert reviewers two of them recommended straight acceptance one of them assesses this work as marginally acceptable after increasing their score as a result of the authors rebuttal and the last reviewer considers this paper marginally below the acceptance threshold wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is about solving cmdps in an uncertaintyinformed modelbased fashion without going through the usual lp route the blueprints for this paper is the following 1 take a standard cmdp formulation 2 ...	the paper describes a new modelbased rl technique for constrained mdps based on bayesian world models it improves sample efficiency and safety the reviewers are unanimous in their recommendation for acceptance this represents an important advance in rl great work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper develops a decentralized algorithm for solving variational inequalities with a certain structure motivated by machine learning applications the key innovation is the utilization of compression ie ...	in this paper the authors consider two algorithms for solving strongly monotone variational inequalities with compressed communication guarantees masha1 and masha2 masha1 is a variant of a recent algorithm proposed by alacaoglu and malitsky while masha2 is a variant of masha1 that relies on contractive compressors by c...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: dales law is the idea that most neurons express only a single neurotransmitter making them excitatory or inhibitory but not both this paper studies a few models of neural networks constrained to follow dale...	this paper examines the impact of dales principal from neuroscience on neural network computation dales principle says that neurons only release a single neurotransmitter type from their axons which in principle means neurons are either excitatory or inhibitory but not both using both spiking and ratebased recurrent ne...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary prediction sets are used to quantify the uncertainty of classification the naive approach which include the labels until a prespecified coverage probability is satisfied often leads to large pre...	the reviewers all agreed that the paper is a solid contribution pros a simple and reasonable extension to adaptive prediction sets that performs well empirically the procedure presented is versatile ie can be applied to general scores or be used to improve base conformal prediction methods a very thorough experimen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review this papers proposes an algorithm to learn a model for spatio temporal data assumed to be described by a stationary spatio temporal pde data considered in the paper consists of vectors yt of obser...	this paper proposes a new method for learning a model for spatiotemporal data described by an unknown spatiotemporal pde the model learns a continuous time pde using the adjunct method and uses graph networks to perform message passing between different discrete time steps on a grid obtained with delaunay triangulation...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper builds and extends the theory of infinitewidth neural kernel computations compared with prior works we can summarize its contribution as follows 1 it explicitly computes the nngp and ntk kernels ...	most prior works on neural kernels have focused on using the relu activation in this work the authors provide new methods that can approximate multilayered neural network gaussian process nngp kernels and neural tangent kernel ntk matrices for a wide range of activation functions all the four reviewers recommended acce...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this submission presents a method for upsampling point clouds using a gan the method operates on height maps over local patches of a sparse point cloud for each height map from the sparse cloud th...	it is recommended that the paper be accepted for presentation at gi20 the merits of the submission include the importance of the topic and convincing results but the paper needs to be revised to improve its validation in terms of using a larger data sets and comparing with or citing other related works please see the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the robustness of deterministic autoencoders by introducing a regularization scheme to incorporate adversarially perturbed data points into the training pipeline the proposed method incre...	this paper received generally positive reviews that after discussion all backed acceptance the paper was praised for its empirical evaluations potential significance clarity and applicability while some questions and lowerlevel issues were raised i do not feel that the reviewers raised any significant issues that wou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an approach for learning predictors that have a small sufficiency gap here the sufficiency gap is a difference that measures how invariant a predictor is across different subgroups the ...	all reviewers acknowledged the contribution of the paper and its focus on the multiple potentially a large number of subgroups sufficiency gap this is also a practically challenging setting with each subgroup having only a very limited number of samples the paper presents a bilevel optimization solution that shows favo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the author introduces a simple stochastic algorithm hdetach that is specific to lstm optimization and targeted towards addressing this problem specifically the authors show that when the lstm weights are la...	this paper presents a method for preventing exploding and vanishing gradients in lstms by stochastically blocking some paths of the information flow but not others experiments show improved training speed and robustness to hyperparameter settings im concerned about the quality of r2 since as the authors point out some...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors studied the role of loss landscape in training certifiable robust models the authors reviewed linear relaxation based methods and showed that interval bound propagation ibp is a sp...	the authors argue that tighter relaxations for certified robustness suffer from a worse loss landscape and thus are outperformed by the much simpler and less tight ibp relaxation and come up with a new relaxation to overcome this problem after the rebuttal there still remain doubts about the reasoning regarding the l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 summary this paper introduces an aggregation mechanism designed for neural networks with batch normalisation layers this mechanism relies on two parts probabilistic mixing weights of the loss function an...	the authors feedback has not fully addressed the reviewers concerns and the reviewers think that the paper is not ready for the publication the authors should consider the following issues for the future submission 1 the concern from reviewer 1 if a local device receives very little data but its data come from a mixtu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper analyzes the implicit bias of gradient descent on a wide twolayer network with standard parameterization and initialization and the squared loss it is first proved that in this setting gradient d...	this paper analyzes the implicit bias of gradient descent of infinite width 2layer neural networks with relu activation it is shown that the dynamics of gradient descent to optimize the 2layer nn converges to the optimization dynamics on the random feature model in the infinite width limit then it is shown that the gra...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a twostage approach to learning with noisy labels lnl 1 a clean sample selection based on cosine similarity with k nearest neighbors in embedding space the average of class distribution o...	this work describes a twostage method for learning with noisy labels the crux of the reviews discussions with the authors and postrebuttal discussions between reviews and myself was related to the novelty of this work the main concern is that while this body of work presents a relatively solid method from an empirical ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a model to generate locationcontrollable images built upon gans the experiments are conducted on several datasets although this problem seems interesting here are several concerns i hav...	the submission proposes a model to generate images where one can control the finegrained locations of objects this is achieved by adding an object pathway to the gan architecture experiments on a number of baselines are performed including a number of reviewersuggested metrics that were added postrebuttal the method n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a hyperbolic feature augmentation method to avoid the overfitting problem of hyperbolic learning in few data setting the authors extend the method by using an infinite number of augmenta...	this paper attempts to improve learning in hyperbolic space under limited data few shot setting in this regards the authors propose a hyperbolic feature augmentation method to circumvent overfitting furthermore as optimizing using a large number of sampled data can be expensive the paper proposes an upper bound the cla...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces a new dataset and benchmark called feverous which consists of more than 87k claims the claims are labeled as supporting refuting and inconclusive if there is support for the claim found...	this paper introduces a dataset for factverification using both structured and unstructured data from wikipedia reviewers found the paper and dataset well motivated documented and novel
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents experiments for both posthoc and adhoc explainers to better understand their quality and robustness the paper touches on a very important problem the quality and understanding of smoothe...	the paper conducts a series of empirical studies to evaluate the robustness of smoothed attribution methods although the reviewers think this is an important direction there are several concerns about the experimental settings such as the sample size and the models to be tested also one of the main finding that lp base...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the work is clearly motivated inverse problems eg inpainting and denoising are common in medical imaging pipelines improving performance on this task is of clinical significance the paper is well written an...	this paper introduces a new bayesian approach to deep image prior using meanfield variational inference where the goal is to enable pixelwise uncertainty quantification and mitigate the need for early stopping regularisation the paper defines a prior distribution in a bayesian setting to learn the parameters of the we...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a method for link prediction based on random walk based pooling method walkpool it aggregates the probabilities of the adjacent structure of a node or link to design the node embeddings f...	this paper proposes a new link prediction algorithm based on a pooling scheme called walkpool the main idea is to jointly encode node representations and graph topology information into node features and conduct the learning endtoend the paper shows the superiority of the method against the baselines strength the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduced a generalization of bwk model which admits increasing in budget the authors then proposed an offline mdpbased algorithm named cb follows by a learning algorithm that combines the offlin...	the paper investigates a generalisation of the bwk problem where the budget is increasing the authors first propose an offline mdpbased algorithm called cb and an online learning algorithm that combines the offline version with an algorithm from li etal the authors also provide a regret analysis for the proposed online...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends the traditional randomized smoothing which only supports singlelabel classifiers to support multilabel classifiers the extension is based on a generalization of neymanpearson lemma the ne...	this paper studies adversarial examples for varieties of randomized smoothing namely ways to improve the robustness of a classifier by adding noise and averaging over inputs the main contribution is multiguard which is a provably robust defense for multilabel classification moreover the method works for a variety of cl...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces mate a multiagent learning environment that models an asymmetric game between two teams of players the cameras and the targets the cameras are fixed in their location but can change di...	this paper introduces an interesting cooperativecompetitive marl environment involving groups of camera and targets with the objective of transportation the benchmark environment appears to be scalable with novel components including partial observability and generalsum rewards in an interesting environment the authors...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents urpe a new universal relative position embed for stronger transformer architecture starting from absolute position embedbased transformers are universal approximators of continuous seque...	this paper studies relative positive embeddings based transformers the authors present a negative result that there exist continuous sequencetosequence functions that relative based transformers cannot approximate irrespective of the depth and width of the network the authors then propose a novel attention module calle...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new approach to compute embeddings of multirelational data such as knowledge graphs for this purpose the paper introduces a variant of transe that operates on riemannian manifolds in pa...	this paper proposes a generalization of the translationstyle embedding approaches for link prediction to riemannian manifolds the reviewers feel this is an important contribution to the recent work on embedding graphs into noneuclidean spaces especially since this work focuses on multirelational links thus supporting k...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an elastic net inspired approach for the optimization of boolean matrix factorizations bmf relying on a relaxed objective with regularization towards binary values they derive the proxim...	this was a borderline paper but i recommended accepting it mainly due to the impressive rebuttal that answered at least most of my concerns there were issues with the experimental results but i believe most of them can be fixed since the authors provided full source code which is not so common
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a way to infer the implicit information in the initial state using irl and combine the inferred reward with a specified reward to achieve better performance in a few simulated environment...	the paper proposes to take advantage of implicit preferential information in a single state to design auxiliary reward functions that can be combined with the standard rl reward function the motivation is to use the implicit information to infer signals that might not have been included in the reward function the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study a new multiarmed bandit problem where there are n users and k arms at each time t a central entity allocates each user i to an arm j several users may be allocated the same arm and a stoc...	the paper introduces a conceptually new variation of the standard multi armed bandit problem motivated by anonymity and ensuring privacy of user responses this is likely to open up a new avenue for research into formulations of sequential decision making involving anonymity constraints the reviewers opinions were ins...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents an implementation of the hessian approach for certifying the convexity of differential functions it is argued that it complements the wellestablished disciplined convex programming dcp so...	this was a though call two reviewers were only slightly positive about the paper and one of them did not seem to understand it very much while a third reviewer who is an expert really like the paper very much and so i tend to accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the autocast dataset was introduced a dataset for measuring the ability of neural networks to forecast future world events autocast poses a novel challenge for large language models and improved performance...	the paper presents a novel dataset on the task of judgmental forecasting autocast was collected by scraping questions from public forecasting tournaments accompanied by a news corpora corresponding to each question the reviewers agree that this is a high quality and novel dataset with diverse questions and tasks it has...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper designs a system to automatically quantize the cnn pretrained models this system contains three main components 1 different scale factors for channelwise network 2 winograd 8bit quantization 3 to...	the paper proposes to combine three methods of quantization and apply them to neural network compression the methods are known in the literature there is a lack of theoretical contribution and experimental results show variable speedups that may not be competitive with the current stateoftheart in neural network comp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors investigate a generative model for mil data where instances are generated from bag level and instance level latent factors they develop variational auto encoders to model this generative process...	the paper studies multiple instance learning mil by treating bags as auxiliary information aiming to identify invariant causal representations using only bag labels available in the mil setting to achieve identifiability it is assumed that the prior distribution over the instance latent variables belongs to the nonfact...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the framework of mtsgi is logical and natural this work focus on solving and generalizing unseen compositional sparsereward tasks with complex subtask dependencies without human supervision effectively ba...	meta review the authors propose a multitask subtask graph inference mtsgi for fewshot learning of tasks which first infers the common highlevel task structure in terms of the subtask graph in metatraining compared with the previous metarl methods this proposed model improves fewshot generalization performance experimen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an approach for controlled pivoting of objects using tactile sensing the outcomes of an lstm approach are compared to an mlp based approach and shown to be superior vision is used as a gr...	strengths the problem is relevant the paper is well written with a clear presentation of its contributions novel approach to pivoting task for inhand manipulation weaknesses poor justification of the baseline model to compare the results of the proposed approach mlp design is not well justified paper lack...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a manifold learning approach for speeding up solutions to parametric pdes inspired by deepsdf 22 they associate a latent vector for each each instance of the pde and learn a solution m...	the paper considers a metalearning approach to solve families of pdes ie learning a solution operator the main idea of the paper is to parametrize the solution of a member in the pde family as being a function of a learned latent representation z or that pde precisely at a point x they parametrize the solution as fthet...

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