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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper contains three main contributions first this paper shows that using eot m1 is not always necessary to break randomized defenses ie it does not necessarily save the number of gradient computations...	this paper considers the effectiveness of stochastic preprocessing methods at achieving adversarial robustness it shows empirically that the common expectation of transformations attack is not necessary to break many such defenses as these defenses are vulnerable to standard pgd attacks when the amount of randomization...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the instability in sgd optimization dynamics edge of stability and how that impacts generalization in particular the authors propose the idea of interactionaware sharpness which i believe ...	while this paper presents a series of interesting observation eg self regularization around the edge of stability and learning rate scaling in my view it fails to communicate the scientific value of the work in a coherent way for example i find it puzzling that the main result of the paper implicitly regularized intera...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a novel iformer architecture to capture both the high and low frequencies in visual data motivated by the observation that vit tends to capture few highfrequency signals ie...	this paper proposes a novel multibranch style architecture for vision tasks motivated by a frequency perspective of deep network behaviors all reviewers are very positive about the motivation presentation and experimental results the ac believes this should be a good contribution to the neural architecture design commu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a relational multitask learning setting and design a metalink model according to the setting introduced in section 2 it seems that the proposed setting is just a meta learning setting bu...	the paper describes a novel learning scenario where there are many related tasks some seen at test time and some seen only at training time where additionally the task labels can be hidden or present this approach generalizes both a relational setting where auxiliary task labels could be used as features and a meta se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce drima a distributional ctde multiagent rl approach that separately learns to model return stochasticity arising from other agents vs the environment they argue this is useful because ...	this paper proposes a method of multiagent reinforcement learning that separately deals with the risk associated with uncertainties of the other agents and the risk associated with the uncertainties of the environment this allows for example to be agentwise risk seeking and environmentwise risk averse the proposed app...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros the authors consider an interesting problem of learning from complementary labels they propose an approach that assuming that the complementary label is selected uniformly at random provides an unbia...	the paper studies learning from complementary labels the setting when example comes with the label information about one of the classes that the example does not belong to the paper core contribution is an unbiased risk estimator for arbitrary losses and models under this learning scenario which is an improvement over...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies manytoone matching markets which is a generalization of the onetoone matching markets studied in recent years in the online learning community the paper identifies a combinatorial conditi...	the paper generalizes one of the results of basu et als icml21 paper to the case of manytoone matchings showing a distributed multiarmed bandits mechanism with logarithmic regret for finding a stable matching assuming a strong uniqueness condition on the input i believe the paper does not meet the bar for acceptance in...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper revisits the agreement of recent results of transfer learning methods outperforming metalearning algorithms in fewshot learning domains and claims that they are in fact not much different in perf...	the paper performs some empirical study between transfer learning and maml as a metalearning method through the lens of task diversity when the task diversity is low the authors claim that the performance of maml and transfer learning methods are similar under a fair comparison eg same architecture optimizer etc all re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes the reproducibility of the counterfactual generative networks paper here are my comments 1 the paper is clearly written and easy to follow the authors have gave a nice summary of the c...	overall a good reproducibility study a more detailed analysis and improvements suggested by the reviewers would be a good addition to the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the model selection problem in offline rl and proposes a new procedure called pessimistic model selection pms that estimates performance lower bound for each candidate policy theoretica...	the paper proposes a new approach called pessimistic model selection pms for model selection in offline rl and tests it in 6 different environments under certain assumptions this allows theoretical results that the best model is recovered with high probability several points were raised by the reviewers and maintaine...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is a wellwritten paper that makes a meaningful contribution to the face modeling research area it proposes a piecewise morphable model for human face meshes with welljustified and reasonable methods fo...	all 3 reviewers were positive about the paper with two clear accepts and one weak accept hence i recommend that the paper be accepted to gi and request the authors to address all the issues identified by the reviewers in their final revision
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe paper present a graph neural network model for subgraph isomorphism counting the proposed gnn model is based on aggregating and propagating edge features the edge embeddings of the input graph are...	this work proposes a graph neural network gnn model for subgraph isomorphism counting the work cannot be accepted in its current form the reviewers provided good comments to authors that can improve their work strengthsweaknesses experimental results are reasonably detailed with an extensive ablation study experi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the aim of this work is to derive deep generative models that are able to incorporate relational constraints the proposed model learns relational constraints from training data by solving constrained optimi...	this work proposes an interesting approach for learning the relational constraints of a dataset and then generating according to those constraints learning the constraints via a constrained optimization problem is an interesting contribution the application of constrained generation is also interesting and can be appli...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers the problem of learning a policy for an mdp with unspecified reward given userprovided goal states to this end a reward model and a policy are jointly learned the reward model is the co...	summary this paper introduces a method to try to learn in environments where a person specifies successful outcomes but there is no environmental reward signal id personally be interested in knowing where people were able to easily provide such successful outcomes instead of for instance providing demonstrations or r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this manuscript proposes a new pooling layer in graph neural networks gnn by computing certain scores on edges which indicate the importance of edges in the process of information propagation top r edges ar...	this paper proposes a graph pooling mechanism based on adaptive edge scores that are then fed into a mincut procedure reviewers acknowledged that this is an important topic of study but all agreed that the current manuscript does not provide enough evidence about the significance and novelty of their proposed approach...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a novel graph conv neural network dubbed lgnn that extends the conventional gnn using the line graph of edge adjacencies and a nonbacktracking operator it has a form of learning direct...	this paper introduces a new graph convolutional neural network called lgnn and applied it to solve the community detection problem the reviewers think lgnn yields a nice and useful extension of graph cnn especially in using the line graph of edge adjacencies and a nonbacktracking operator the empirical evaluation show...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method active learning al on graphs unlike other al approaches the proposed approach provides soft labels via relaxed queries to the domain experts main contributions 1 the pa...	this paper proposes a new approach to graphbased active learning using the query whether the predictions made by the current model are correct or not although the theoretical underpinnings of the proposed approach are a bit weak the problem formulation that is newly proposed in this paper makes sense from a practical p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a framework that allows an ai agent to teach the human to do motor tasks eg using a joystick for parking a car in simulation or writing letters in an unfamiliar language this frameworks...	the reviewers appreciated the extensive replies and the paper updates those managed to clear up most of the concerns of the reviewers that now all rate the paper cautiously positive on the downside now a lot of important material and discussion has been included in the appendix while ideally the paper should be selfcon...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the following disconnect 1 bellman equation based models make the implicit assumption that the agent making the decisions is rational in a very strong sense they know the model correctl...	two very confident and fairly confident reviewers rate this paper ok but not good enough and two other fairly confident reviewers rate the article below the acceptance threshold therefore i must reject the article the reviewers provided encouraging comments and suggestions on how the manuscript could be improved which ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper reform the task to solve a pde into an image translation problem and used cgan to solve the pde although the authors reformed the problem as image translation using a cgan instead of gan or other...	the paper formulates fluid simulation as an image to image prediction task and proposes to solve the problem using a cgan formulation the objective is to develop fast approximate solutions for the modeling of fluid dynamics here navier stokes for incompressible flows the images correspond to the discretization of veloc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors hypothesize that a decrease in robot simulation fidelity may result in a higher efficacy sim2real transfer of deep reinforcement learning policies for visual navigation tasks a dichotomy is draw...	the reviewers commented positively about the general hypothesis discussed in the paper lower simulation fidelity can lead to higher sim2real success and the number of experiments reported which includes multiple simulators and platforms the main issues to be address by the authors in the rebuttal phase are 1 discuss n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a variant of multiarmed bandits where each action can change the distribution of some random variables which otherwise follow baseline distributions and the observed reward is a sum of th...	the papers main contribution is in my opinion conceptual it introduces a new multiarmed bandit problem with arms interventions that affect a sparse set of downstream variables a baseline effect and an additive reward uplift structure the motivation for this is drawn from uplift modeling and its associated causal infere...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers a method of evaluating the importance of variables of a possibly nonconvex function f under a bayesian perspective given a gaussian process over a function set including true function f...	the authors propose a new method for quantifying variable importance and thus for variable selection in a totally nonparametric setting they use a bayesian setting gp and quantify the variable importance based on the l2norm of the corresponding partial derivative the method comes with strong theoretical guarantees rate...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the role of overparameterization in learning normalizing flow models more specifically the authors analyze the optimization and generalization of such a model when the transport map f is p...	motivated by the fact that the benefit of overparameterization in unsupervised learning is not well understood than supervised learning this paper analyzes normalized flow nf when the underlying neural network is one hidden layer overparameterized network and proves that for a certain class of nfs one can efficiently l...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the alignment problem in video superresolution it conducts a series of experiments to show that attention plays a key role for the problem using larger window size for unaligned videos ca...	this paper rethinks the role of alignment in video superresolution based on transformer models the video alignment is costly which may need manual efforts this paper proposed several inspiring and counterintuitive remarks such as that alignment is unnecessary and may be harmful to the transformer model the authors pres...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: there is a lot of recent work on linkprediction in knowledge graphs one approach is based on embedding entities and relations in a knowledge graph into vector spaces and the other is based on finding rules ...	there is a consensus among the reviewers that the work is interesting and the paper should be accepted nevertheless several reviewers struggled with understanding the details while the authors largely successfully addressed these concerns i believe that the paper is still too dense and hard to follow i would encourag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strong point 1 the idea of putting noise insertion via noisy datageneration models and optimization of good representations together to obtain ldp representations andor synthetic data seems to be effective ...	the paper considers the problem of private data sharing under local differential privacy 1 it assumes having access to a public unlabeled dataset for learning a vae so it reduces the dimensionality in a more meaningful way than simply running pca 2 the ldp guarantee is coming from the standard laplace mechanism and r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a heuristic deep learning approach to computing agentfeature importance in complex cooperative game theoretic settings such setting are known to be hard to solve and understand exactly f...	this paper proposes a deep learning approach to computing agentfeature importance in complex cooperative game theoretic settings the reviewers are overall positive albeit some are a bit lukewarm about the paper overall the consensus after the discussion is that the idea of studying how well neural computation can be ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose an approach to perform authentication based on users behaviour behavioral biometrics on two different domains web and mobile by means of a siamese nn the proposal is evaluated on three diffe...	this paper received 3 reviews with mixed initial ratings 945 the main concerns of r1 and r3 who gave unfavorable scores included lack of novelty and hence limited value of this work for the ml community at the same time r5 strongly advocates for acceptance and mentions meaningful contributions in the context of the spe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a study on different last output layers under the continual learning problem more specifically the study is conducted in a controlled environment without projection shift the paper propo...	the paper proposes an empirical study on the effect of various types of output layers of deep neural networks in different scenarios of continual learning the authors draw several insights such as ways of selecting the best output layer depending on type of scenario and a description of the different sources of perform...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies shorting coming of existing offpolicy methods when it comes to prior data and finetuning and shows that those existing methods cant effectively utilize previously collected data with onli...	this paper proposed a new method improving online reinforcement learning using offline datasets three reviewers suggested borderline acceptance and two did rejection the main concerns of reviewers are a limitedincremental novelty from all reviewers and b limited experiments from three reviewers ac also agrees that the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes contextual dropout as a sampledependent dropout module which can be applied to different models at the expense of marginal memory and computational overhead the authors chose...	this paper proposes an inputdependent dropout strategy using variational inference to infer the rates while the idea is a fairly straightforward variant of recent probabilistic dropout methods the paper demonstrates consistent improvements across several types of nn layers dense convolutional and attention in largesca...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a lowprecision version of sgld which makes use of lowbit arithmetic in particular since lowprecision gradient accumulators might lead to divergence of sgld the authors propose a new quan...	the paper investigates the performance of lowprecision stochastic gradient langevin dynamics sgld while similar lowprecision techniques have been widely used in optimization much less is known for markov chain monte carlo mcmc methods the paper develops a new quantization function to make sgld suitable for lowprecision...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper assumes no access to the reward values and attempts to learn a policy by starting just with one demonstration to define the reward for obtaining the reward the authors rely on the ideas from valu...	the authors introduce vperl a model that generates an intrinsic reward for imitation learning vperl is trained on demonstrations to minimise a variational objective that matches a posterior formed by action backtracking and a forward model with the intrinsic reward coming from the reward map the authors might be intere...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the selfsupervised code functional representation learning and proposes a method called contracode contracode utilizes some code functionality invariant transformations to generate positi...	this is a nice paper using contrastive learning for code representation the idea is to generate variations on unlabeled source code using domain knowledge by creating equivalent version of code improvements over baselines on two multiple tasks are shown while some of the reviewers liked the and r4 should have responded...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the efficacy of transformers on a polynomial simplification tasks there are two main motivations for this work piotrowski et al and lample and sarton references in the paper the paper i...	while the reviewers find the experiments in the paper somewhat interesting they find that the paper does not sufficiently address whether the limitations shown for models in this paper translate to larger models and other more realistic tasks or an artifact of the setup considered in the paper overall the takeaways se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a method to close the generalization gap that arises in training dnns with large batch the author reasons about the effectiveness in sgd small batch training by looking at ...	dear authors your proposition of adding a noise scaling with the diagonal of the gradient covariance to the updates as a middleground between the identity and the full covariance is interesting and tackles the timely question of the links between optimization and generalization however the reviewers had concerns abou...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposed a new dag constraints for low rank adjacency matrices compared to original dag constraints the new constraint can scale to larger graphs on binary graph the proposed dag constraints is a ...	in this paper the authors propose a new dag constraint for lowrank adjacency matrices which can scale to larger graphs all the reviewers consider this paper is sound and the experiments are well designed however one question about the case of different graph spaces from other reviewer should be addressed in the final v...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a large scale dataset for search containing samples from baidus search logs the dataset contains a lot of new information about aspects of the search results page or user interaction that...	the reviewers seem to be in agreement on many aspects including the strengths the weaknesses and the final assessment as strengths the reviewers highlight the following points the size of the dataset the usefulness to the community as weaknessess the reviewers highlight the following points the paper in layout a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a point affiliation for feature upsampling which is one of the most essential parts especially dense prediction networks the proposed method generates similarityaware kernels by compar...	the paper focuses on the task of feature upsampling specifically in decoder layers for dense prediction problems the proposed point affiliation module can be used in upsampling kernels to produce semantically smooth and boundary preserving upsampled sets the paper received four detailed reviewers from experts there was...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focused on training a small network with a pretrained large network in a studentteacher strategy which also known as knowledge distillation the authors proposed to use a separately trained gan ne...	the authors propose a scheme to compress models using studentteacher distillation where training data are augmented using examples generated from a conditional gan the reviewers were generally in agreement that 1 that the experimental results generally support the claims made by the authors and 2 that the paper is clea...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to train a machine translation system using weakly paired bilingual documents from wikipedia a pair of sentences from a weak document pair are used as training data if their cos...	this paper proposes a new method to mine sentence from wikipedia and use them to train an mt system and also a topicbased loss function in particular the first contribution which is the main aspect of the proposal is effective outperforming methods for fully unsupervised learning the main concern with the proposed met...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider the sparse linear regression problem with an application to experimental design in linear bandits they propose a new sparse linear estimator of the true model based on catonis estimator...	the paper is motivated by the design of lowregret algorithms for highdimensional sparse linear bandit problems the challenge is to obtain regret guarantees even in the datapoor regime where the number of samples the learner can gather may be smaller than the dimension this challenge had been investigated in 12 with a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 strong clinical motivation for temporal modelling of covid progression 2 technically also well motivated authors argue that spatial lstms improve discriminative accuracy by correlating features from dif...	3 wa and 1 wr the wr reviewer found that the paper does not have a very clear presentation of the evaluation all reviewers agreed that the paper deals with an interesting topic and it presents some interesting methodological designs the authors addressed the points raised by the reviewers during the discussion and upd...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i will add it tomorrowdocsep1 summary of the paper this paper proposes a novel spatiotemporal graph scattering transform stgst as an intermediate representation of timevarying signals on graphs which can t...	this paper studies extensions of the scattering graph transform to spatiotemporal domains by exploring several design choices for spatiotemporal wavelet filters the authors provide a solid and broad study of such predefined represenatations including stability analysis as well as extensive empirical evaluations review...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work deals with the new matrix encoding method called volley revolver for efficient matrix multiplication on homomorphic encryption scheme to efficiently use the data structure and the homomorphic oper...	the reviewers were unanimous in their recommendation to reject the paper the authors responded to the reviews but recognized the limitation of their submission particularly in terms of missing comparisons to related work i want to take this opportunity to address the author who wrote in their rebuttal i will see the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors firstly used vision transformers in the context of image registration the code is available the method shows promising results on the inhouse dataset dice of 0726 compared to 0711 of voxelmor...	both reviewers favorably comment on novelty while the evaluation could be improved the ideas are worth discussing at midl i will accept provided that the authors fix the style sheet transgressions in the final version
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors extend the work xiao et al 2021 neurips to elaborate on the ideas of training snn based on the equilibrium and address some of the shortcomings the authors attempt to support the...	the paper introduces a purely spike based method for training spiking neural networks with recurrence by extending the recently published implicit differentiation on the equilibration state ide technique as a purely spike based method for both the forward pass and the gradient computation the proposed technique potenti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a realworld image denoising model with alternative optimization the formulation is carefully discussed in order to ensure the validity of the proposed pipeline this is an interesting app...	the paper under review introduces a deep unrolling network driven by a latent space blind model for image denoising although the network combines known components it has novel elements and good algorithms the experimental results are robust the implementation details are rich and the ablation research is extensive revi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focuses on the problem of inductive relational prediction for kg completion previous works often regard the rules as paths different from those works this paper regards the rules as circles based...	the paper proposes a new approach to inductive rule prediction for knowledge graph completion reviewers highlighted as strengths that the paper proposes an interesting approach to an important problem that is relevant for the iclr community however reviewers raised also concerns regarding model design and correctness a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: problem setting the paper addresses the causal representation learning task ie inferring highlevel causal latent variables from lowlevel observations specifically it considers a weaklysupervised setting i...	the reviewers were split about this paper on one hand they would have liked to see better experimental results particularly for larger graphs on the other they appreciated the identifiability results and the ilcm algorithm after going through the paper and discussion i have voted to accept for the following reason even...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of distance oracles for symmetric norms in this context the goal is to preprocess a dataset of n input points x1ldotsxn in some metric space into a smallspace data structure...	reviewers found the problem the results and the techniques very interesting the main concerns were about the practicality of the results esp lack of experiments and presentation notably various typos the presentation issues appear to be easily fixable with a careful pass over the paper ultimately the positives signifi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper presents a generative approach to modeling physical systems with highdimensional nonlinear dynamical systems such as those found in fluid mechanics the authors provide a physicsmotivated ...	the consensus of the reviews is to accept the paper i agree reviewers highlighted many strengths including a compelling main idea r5 the paper presents an interesting and motivating case for bayesian inference in probabilistic generative models a problem that has inherent uncertainty along with the ability to incorpo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper does a thorough investigation of influence functions applied to neural networks specifically the authors find that deeper networks result in erroneous influence estimates and weightdecay r...	this paper examines under what conditions influence estimation can be applied to deep networks and finds that among of items that influence estimates are poorer for deeper architectures perhaps due to poor inverse hessian vector approximations for poor for deeper models the authors provide an extensive experimental eva...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: it was believed that sparse architectures generated by pruning are difficult to train from scratch the authors show that there exist sparse subnetworks that can be trained from scratch with good generalizat...	the authors posit and investigate a hypothesis the lottery ticket hypothesis which aims to explain why overparameterized neural networks are easier to train than their sparse counterparts under this hypothesis randomly initialized dense networks are easier to train because they contain a larger number of winning tick...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe a new method of posterior sampling with latent variables based on sgmcmc and stochastic approximation sa the new method uses a spike and slab prior on the weights of the deep neural net...	this paper proposes a bayesian alternative to dropout for deep networks by extending the embased variable selection method with sgmcmc for sampling weights and stochastic approximation for tuning hyperparameters the method is well presented with a clear motivation the combination of smvs sgmcmc and sa as a mixed optimi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a new tensor network decomposition model for highorder tensor analysis the proposed model factorizes a highorder tensor into a set of latent factors connected to a specific wheel topolog...	two reviewers consider that the proposed construction is clearly innovative and all reviewers consider that the contribution is useful to the tensor learning community the experiments show that the proposed method yields improved performance the three reviewers who participated in the discussion with the authors an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper applies modern deep nlp methods especially transformers to information extraction from biomedical texts specifically those dealing with cancer genomics the task is to extract two pieces of infor...	the paper addresses the novel task of information extraction from cancer genomics the reviewers have applauded the important and meaningful application area and the comprehensive experimental design that beats state of the art the approaches are straightforward combination of existing methods there are also some clarit...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackes clinically and technically important problem the motivation of the study is plausible detailed information for the implementation such as experimental setup and network structure were ...	the paper received unanimously negative reviewing comments from four independant reviewers citing concerns about the limited novelty mostly combination of known methods possibly inappropriate choice of dataset performances below sota ones etc the rebuttal does not sufficiently address the above concerns as most of the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary one of the primary contribution of this work was to provide a new framework for designing followtheperturbed leader algorithms that are oracleefficient and adapt well to the smallloss environment u...	the paper received reviews from experts in online learning who all support acceptance following some clarifications provided by the authors from my own look into the paper i also firmly support acceptance the paper makes a clear solid and elegant contribution to a long line of research in online learning and it is als...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses the gap between closeworld and openworld assumptions which are two major assumptions for kgs even though the missing links in kgs are uncertain in advance the current rankingbased evalu...	this paper studies the evaluation of knowledge graph completion under an openworld assumption where the training or test sets may include many unknown missing facts it shows that the currently mostused metrics may not sufficiently reflect the true model performance and suggests alternative metrics to address this issue...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper sets up a spatiotemporal neural network claiming it hasnt been done before it may however be similar to a spatiotemporal graph network using a regular lattice graph connectivity structure the aut...	there was a consensus among all the reviewers that the methodological contribution is not significant enough for publication at iclr in short the main contribution of the paper is to include spatial modeling into a deep temporal point process model however to do that they just use a wellknown method kde on top of a met...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes the monotonic graph neural network mgnn model that can be exploited to learn tasks on knowledge graphs knowledge graphs are referred to as datasets that are based on constants unary and b...	this paper proposes monotonic graph neural networks mgnns for the transformation of knowledge graphs specifically mgnns transform a knowledge graph into a colored graph where each node is represented by a numeric feature vector and each edge encodes the node relationship with different colors the authors provide theore...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: after rebuttal i thank the authors for responses i carefully read the response but it is difficult to find a reason to increase the score so i keep my score unsupervised imagetoimage i2i translation i...	the paper formulates the problem of unsupervised onetomany image translation and addresses the problem by minimizing the mutual information the reviewers and ac note the critical limitation of novelty and comparison of this paper to meet the high standard of iclr ac decided that the authors need more works to publi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes several improvements to cryptonet proposed in dowlin et al 2016 the contributions include 1 better implementation to improve speed and throughput 2 modified architecture lola to reduce...	the paper proposes improvements on the area of neural network inference with homomorphically encrypted data existing applications typically have high computational cost and this paper provides some solutions to these problems some of the improvements are due to better engineering the use of the faster sael 321 over cry...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper uses a method inspired by column generation to continuously add temporal logic rules to their model to maximize the likelihood of the data the goal is to generate a model that is highly interpreta...	this paper has been independently evaluated by four expert reviewers after discussion with authors three of them set their recommendations at marginal acceptance one at straight accept perhaps the key criticism involved limited rigor of theoretical justification for the proposed method but it appears to be applicable i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a randomized primaldual coordinate method for solving linearly constrained nonsmooth nonconvex optimization problems at each iteration this method only selects a primal variable to updat...	dear authors the paper was received nicely and discussed during the rebuttal period however the current consensus suggests the paper requires another round of revisions before it gets accepted in particular it is not clear if the new method with randomization improves over the deterministic methods either in theor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use a deterministic classifier to replace the sampling process in randomized smoothing based certifiably robust models the goal of training a deterministic robust classifier to avoid...	although the connection between randomized smoothing and pde revealed in this paper is an interesting direction to explore the method proposed unfortunately is not certified the method could work as a good empirical defense since the smoothed classifier could be learned more efficiently
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper targets at weakly supervised semantic segmentation for both 2d and 3d domain the intuition is that the weakly supervisedly features in these two domains are complementary and can benefit each oth...	the paper proposes two constraints transferring the knowledge from 2d domain to 3d domain and vice versa to do weakly supervised semantic segmentation in 2d and 3d during inference the model doesnt require paired data the paper is clearly written and explains how the 3d geometrical information complements the redunda...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method of discovering through evolutionary search programatically defined rl algorithms pros novel to my knowledge in the search language it uses which renders the resulting lear...	this paper proposes a metalearning algorithm for reinforcement learning the work is very interesting for the rl community it is clear and wellorganized the work is impressive and it contributes to the stateoftheart
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: docsepthe paper aims at the tiny object detection and point out the issues are small context feature semantic feature conflicts and less tiny objects in training data to solve the aforementioned problems a...	this paper is proposed to address the tiny object detection with the help of the context augmentation module cam and feature refinement module frm to obtain rich context information for feature augmentation cam merges multiscale dilated convolution features the proposed method has been verified on the pascal voc datase...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new approach to detect outofdistribution ood examples in the transductive setting the idea is to train an ensemble of models that fit the indistribution id data well but disagree with ...	although the rebuttal helped clarify the reviewers confusion on notational confusion and the motivation of problem setup all reviewers are still in a position of unable to championing the paper the technical concerns by reviewer 4 need to addressed the paper would have been stronger if baselines such as oneclass clas...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper theoretically and empirically studies accuracy disparity in regression problems it proves an informationtheoretic lower bound on the joint error and a complementary upper bound on the error gap a...	this papers considers the problem of accuracy disparity in regression for the case of binary sensitive attributes it provides bounds for accuracy disparity and introduces two methods to enforce this criterion based on representation learning the reviews are in agreement that the paper is generally clear and well writ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces the problem setting where the environment has a piecewisestable context ie the context is constant for some stochastic length of time then changes abruptly to another context several ti...	this paper proposes an algorithm to deal with nonstationarity in rl in settings where a latent context variable changes abruptly at discrete points in time in contrast to previous work that focuses either on settings where the context is constant over an episode or may change at each timestep this is very much a borde...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: as far as i understand the authors study lyapunov chaos that occur in learning in nonzerosum games main issues 1 the current structure of the paper is very unusual what makes the presentation of the key r...	this paper looks at chaos in learning in games extending a line of work in two players zerosum games that i found quite restrictive in the past it somehow reduces the class of more general games to zerosum and cooperative games this decomposition is already known so that the techniques can be transposed here the paper...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors empirically investigate the underlying reasons behind the effectiveness of indiscriminate poisoning attacks according to the authors claims their analysis shows that the poisoning samples genera...	the paper studies poisoning attacks of small perturbations to training samples existing attacks introduce features that allow for easily fitting the data but do not lead to good generalization they use this principle to generate attacks based on random classspecific patterns they finally propose defense using a pretrai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an efficient attention mechanism with a linear complexity with respect to the context length and only requires bitwise operations the resulting model is called ecoformer compared to exis...	the paper after rebuttal addresses several of the limitations mainly lacking positioning in the rich existing litterature of the first submission the strength of the paper resides in a holistic approach to the yet another efficient attention mechanism evaluating and discussing tradeoffs between accuracy compute energy ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents several improvements over the original teacherstudent framework in fastspeech 1 training the model with groundtruth target instead of the output from teacher 2 extract phoneme duration pi...	this paper presents a number of techniques to improve the existing nonautoregressive endtoend tts model fastspeech these techniques include replacing the teacher forcing with ground truth targets and using a variation adaptor to introduce auxiliary information such as duration energy and pitch the experiments show th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper adopts hypernetworks in texttoimage generation which is used to control weights in both generator and discriminator based on the provided text descriptions then authors evaluate their method in tr...	after the author response multiple reviewers remained concerned over the degree to which the current manuscript makes the case for the proposed hypernetwork approach to texttoimage generation it was felt that this was mainly an empirical paper for which the reviewers remain unconvinced that the proposed hypernetwork ba...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose an approach for learning hierarchical policies from demonstration data tacorl first learns a goalconditioned imitation learned policy from play data similarly to 13 then tacorl uses offl...	the paper presents a framework for offline rl the key idea is to train a highlevel goalgenerator trained via offline rl to guide a lowlevel goalconditional policy trained via imitation learning the method is tested on the calvin benchmark and standard offline rl domains as well as a realworld robot setup strengths th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: note this is an emergency review i managed not to look at existing commentsratings for this paper before writing my review summary this paper studies deep multiagent rl in settings where all of the agent...	this paper was reviewed by three experts initially the reviews were mixed with several concerns raised after the author response there continue to be concerns about need for significantly more experiments if this were a journal it is clear that recommendation would be major revision since that option is not available a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a systematic study of reward hacking in the environments with the misspecified rewards the authors conduct a set of experiments with 4 environments several types of reward misspecificati...	i thank the authors for their submission and active participation in the discussions all reviewers are unanimously leaning towards acceptance of this paper reviewers in particular liked that the paper is presenting an interesting and systematic study of reward hacking gvmn that is useful to the research community bfgn ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: pros original idea of using separate discriminator paths for unknown classes thorough theoretical explanation a variety of experiments very wellwritten and clear paper cons the biggest problem for me ...	this paper extends the single source hdivergence theory for domain adaptation to the case of multiple domains thus drawing on the known connection between hdivergence and learning the domain classifier for adversarial adaptation the authors propose a multidomain adversarial learning algorithm the approach builds upon t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes randomized ensembled double qlearning redq a new modelfree rl algorithm that aims to improve the sample efficiency over existing modelfree methods experiments on mujoco show tha...	this paper develops an effective modelfree algorithm that achieves high sample efficiency the empirical performance is appealing which is comparable to modelbased policy optimization and significantly outperforms sac the paper is wellwritten and contains rigorous ablation studies weakness the theoretical analysis is se...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a method to improve sample diversity of gans they introduce multiple discriminators each aims to not only compare real and fake examples but also compare different microbatch of examples...	the paper proposes an approach to remedying mode collapse problem in gans this approach relies on using multiple discriminators and assigning a different portion of each minibatch to each discriminator preventing mode collapse in gan training is an important problem the exact motivation for the proposed techniques...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: an interesting paper which focuses on formalising the sequential problem of online decision mediation odm and proposes a specialised solution uncertaintymodulated policy for intervention and requisition ...	thank you for submitting your paper to neurips this paper studies sequential decisionmaking for mediation given actions chosen by an imperfect human it decides whether to accept the decision intervene with an alternative or request a costly expert opinion the authors identify an explorationexploitation tradeoff for th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a computationally efficient mean estimator for generative distribution that are heavytailed in nature the phenomenon of heavy tailed distributions for gradients in the training stage of ...	this paper studies the problem of multivariate mean estimation with a focus on the heavytailed setting the authors give an algorithm for this estimation task and then use it in essentially a blackbox manner to obtain heavytailed estimators for various supervised learning tasks as pointed out by one of the reviewers and...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work studies the problem of adversarial reprogramming which is a task that is defined as follows suppose we have a machine learning model m that takes in inputs from a particular domain x to a label do...	this paper develops several theoretical results around when adversarial reprogramming will and will not be possible they support these with experiments as this is the first meaningful theoretical analysis of adversarial reprogramming the paper is potentially impactful all reviewers support paper acceptance additionall...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a diffusion model that adds a mask as an additional inputs to noisy data the mask controls which positions in the input should be denoised in order to provide control for partial inference w...	this paper introduces sunmask for modeling discrete sequences it builds upon previous works such as sundae coconet and orderagnostic nade but uses a masking scheme that enables finegrained or humanintheloop control during the generation the qualitative experiments about musical inpainting and masking terms in language ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to study the ability of transformers model to predict values of a function given an input via sample prompting overall this is a nice study that sheds some light on the capability of tra...	this paper demonstrates compellingly that transformers are able to incontext learn simple function classes eg linear functions to the extend that they can recover solutions from algorithms like lasso the experiments are well designed and executed which lead to surprising and intriguing results while the paper does not ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a distributed version of kernel kmeans clustering where some federated structure is used to do distributed processing on the data privacy and communication issues are also studi...	this paper presents a approach to the distributed kernel kmeans problem using a combination of random features to efficiently approximate the kernel matrix a distributed stochastic proximal gradient algorithm which calls a distributed lanczos algorithm as a primitive to find a lowrank approximation to the kernel matrix...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: quality this is a wellwritten paper which tackles and interesting clinical problem has a welldescribed framework and experiments and does a good evaluation clarity of course more details would be nice but ...	there are three reviews all in favour of the paper one brief evaluation is rating it as weak reject there were critical questions raised by several reviewers ie about relation to prior work and a very important one about leakage between training and testing data r1 the authors decided not to respond to it this is...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper attempts to learn embeddings for objects based on their affordances ie verbs that could be applied to them to realise their meaning here each dimension corresponds to an affordance or an...	this paper is a computational linguistic study of the semantics that can be inferred form text corpora given parsers which are trained on human data are used to infer the verbs and their objects in text the reviewers agreed that the work was well executed and that the experiments comparing the resulting representations...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces skincon a set of expert annotations on images in existing dermatology datasets fitzpatrick 17k groh 2021 and diverse dermatology images ddi daneshjou 2022 motivated by concept analysis ...	this paper provides an augmented dataset with additional annotations intended to enhance interpretability and meta analysis of images for skin disease classification pros i the work is well motivated justified and executed ii the dense annotation will significantly help test ml models against this dataset cons i va...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new evaluation metric for generative adversarial networks and shows that it is better aligned with human judgment than fid the metric is based on a domainspecific encoder to extract fea...	the paper proposes a novel sample based evaluation metric which extends the idea of fid by replacing the latent features of the inception network by those of a dataset specific vae and the fid by the mean fid of the classconditional distributions furthermore the paper presents interesting examples for which fid fails ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an unsupervised approach to achieve groupbased disentangled representation learning as opposed to existing environmentbased approaches a theoretical framework for the groupbased vae was ...	the submission provides a theoretical framework on the learning of groupbased disentanglement representations and proposes a novel method to learn such representations the reviewers appreciated the novel perspective of the paper in introducing the concept of groupbased disentanglement in unsupervised vae furthermore t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: content it is about pruning for explanation the goal of the methods presented is given a sample x to extract a network which is an unmodified subset of the original network and has similar predictions to th...	overall this seems like a neat idea and welldone work main principle is to extract a very sparse net that does a good job at locally explaining a given example the neurochains idea does this with a diffentiable sparse objective i think this work is wellpositioned and has nice properties 1 retains a very small percentag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposed an approach that generates radiology reports from chest xray images by splitting pathologyrelated sentences and the others the authors should run a model without the pathologyabnormal sen...	this paper presents a pipeline for automatic interpretation of medical imaging and learningbased diagnosis on the one hand the paper tackles an important and challenging problem but on the other hand the validation is very limited and novelty over previous work is unclear this is therefore a borderline paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors train a neural net to predict responses of mouse v1 l23 neurons to visual stimulation the nn has a core that is shared between all neurons and a neuronspecific readout they train the core on mul...	this paper has received four positive reviews the main intellectual contribution of the paper is the introduction of a novel readout mechanism that allows models to be shared fully across neurons which in turn helps transfer learning across neurons and even across animals the reviewers commented on the technical streng...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper contains an overview of a multifaceted knowledge graph construction project it provides sufficient detail for the reader to understand the specific approach to kg construction and curation which ...	this is a paper that describes experiences from a largescale knowledge graph construction project it is an exemplary paper of what the organizers of the workshop consider as an experience paper and most reviewers agree however it is also clear from all reviews that there is still a lot of room for significant improveme...

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