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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method to estimate the geometry material and lighting of an object from a set of multiview images it builds on top of previous work nvdiffrec different from nvdiffrec that applies spl...	the paper addresses the task of reconstructing 3d meshes materials and lighting from multiview images to this end monte carlo ray tracing is used in combination with denoisers for training efficiency experiments show improvement wrt sota nvdiffrec and nerfactor reviewers like the combination of denoisers for training a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper considers the important problem of stochastic bandits on a graph given a known graph ve there are unknown reward distributions with each vertex at each stage the learner can choose a vertex rando...	the reviewers largely agreed in the opinion that the paper has enough results on online learning with feedback graphs on the other hand concerns on the presentation and the overall picture of the contribution are raised which i agree with though some of them come from the inherent difficulty of the problem i strongly e...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission presents an infinite dimensional extension of relative measures of smoothness and strongconvexity to handle noneuclidean notions of regularity the theoretical guarantees cover the finite dime...	all reviewers recommend the paper the authors should think about ways to make the paper more accessible to a machine learning audience but i recommend accepting when preparing the cameraready version please take into account the reviewers comments and please also specifically address these two points raised in the disc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to reduce tne number of connections in a neural network needed to compute a boolean function the authors use a recurrent neural network instead given input x the rnn must settle to an equilibrium and the fi...	we had quite a bit of discussion on this paper i read the paper and agree with some of the discussions that the paper in its current form might not attract interest in the community due to the following reasons while it is highly interdisciplinary and potentially of high impact the authors did not manage to connect a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a simple yet effective technique for estimating a classifiers accuracy on test data which exhibits distribution shift from the training data given a score function for the model and a da...	the authors propose a simple method to estimate the accuracy of a classifier on an unlabeled dataset given an indistribution validation set in extensive experiments the authors show that the proposed method is significantly more accurate than previous methods and other baselines the reviewers are quite consistent in ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes an approach called mamf to augment a modelfree reinforcement learning algorithm namely td3 with a learned dynamics model the learned model is used to sample imaginary transitions from ac...	strengths reviewers agree that the method proposed is technically sound and well explained an extensive set of experiments in simulation seems to indicate a sample efficiency and performance advantage over the td3 baseline the method is general applicable to more than manipulation tasks and applicable on top of more...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents yformer to perform long sequence time series forecasting the key idea is to employ skip connection to improve the prediction resolution and stabilize the encoder and decoder by reconstru...	this paper presents yformer to perform long sequence time series forecasting based on a yshaped encoderdecoder architecture inspired by the unet architecture the key idea of this paper is to improve the prediction resolution by employing skip connection and to stabilize the encoder and decoder by reconstructing the rec...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper looks at how to build deep rl agents that can perform more efficient learning by directly leveraging the factored structure of problems when that information is given the approach proposed by the...	the paper introduces variants of rl algorithms that can consume factored state representations under the assumption that actions only affect a few factors these factored rl algorithms can learn more efficiently than their vanilla counterparts learning a factored dynamics model to be used in a modelbased algorithm or re...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: no rebuttal since there is no rebuttal i have not modified my score overall this paper presents some interesting ideas in particular this is the first time i have seen genetic algorithms used in the co...	this work appears to be a promising start to a research direction however as the reviewers noted the work does not compare to alternative approaches and the presentation of the work overall is incomplete
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies ssgd method to nonsmooth optimization problems with interpolation condition it has proven that ssgd converges with rate o1epsilon for convex problem and olog1epsilon for stronglyconvex pr...	the paper proves new rates of convergence for stochastic subgradient under an interpolation condition the analysis is rather simple but it produces better rates than previously known which all reviewers agree is interesting as pointed out by the reviewers this work has the potential to help the community better underst...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new multifaceted training objective that tries to enforce models to make predictions driven by known right image regions while being invariant to features outside of them the paper name...	2 out of 3 reviewers are positive about the paper and recommend accept after the author feedback importantly the paper contributes and the reviewers value the idea and design to make vqa models right for the right reasons the experimental validation including comparison to the recent work singla et al 47 new rrrm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper extends predictive state representation psr for pomdp to multiagent reinforcement learning marl setting strength the mathematical derivation appears sound and theoretical guarantee is given the t...	this paper presents an extension of the predictive state representation psrs to multiagent systems with a dynamic interaction graph represents each agents predictive state based on its neighborhood agents three types of agent networks are considered static complete graphs all agents affect all others experience static ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper targets to demonstrate social perception and humanai collaboration in common household activities it shows the development of a multiagent virtual environment that is used to test an ai agents abi...	summary this paper provides an interesting and unique challenge problem on humanai collaboration with sample baselines i think this is an extremely important topic and the community should embrace such challenge problems discussion reviewers agreed this paper should be accepted particularly after seeing that iclr has ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes diffstride as a dropin replacement to standard downsampling layers it extends previous work spectral poolnig and learns the size of the cropping box in the frequency domain by backpropag...	the paper proposes a method to learn the stride of downsampling in deep networks using a gradientbased learning approach the main idea is to work in the frequency domain and to learn the cropping mask in that domain the authors also introduce a regularization for applications seeking computationally and memory efficie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: combining the parametric uncertainty of bootstrapped dqn with the return uncertainty of c51 the authors propose a deep rl algorithm that can explore in the presence of heteroscedasticity the motivation is q...	the paper introduces a method for using information directed sampling by taking advantage of recent advances in computing parametric uncertainty and variance estimates for returns these estimates are used to estimate the information gain based on a formula from kirschner krause 2018 for the bandit setting this paper t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study how representative are panels chosen via sortition ie by selecting randomly individuals from a population the authors measure representation as follows first they assume that there is some...	reviewers like the problem of fair sortition for its importance as well as its fitness to neurips reviewers also liked the solid theoretical results minor concerns were raised about the technical depth and uninformative experiments but the overall sentiment is quite positive
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper puts forth a greedy algorithm that maximizes the true discovery rate wrt a set of labels akin to coverage subject to a userspecified restriction ie constraint on the false discovery rate ...	this paper suggests that in multilabel classification where there are multiple y that could be correct the usual conformal prediction setup could be too conservative too large a set with too many false positives because it asks for full coverage they propose to change the error metric from coverage to precision to inst...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors have explored the capability of box embeddings to model hierarchical data and have demonstrated that it provides superior performance compared to alternative methods requiring less of the transi...	reviewers unanimously appreciated this paper please do take into account their feedback to improve the paper from our perspective the paper is not written in a scholarly fashion there is so much work on hierarchical models learning embeddings of trees and why not give credit to these people please expand your related w...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper starts with three claims in existing works that motivate their work1 the relationship between generalization and invariance are largely qualitative in existing work 2 they are restricted to indist...	this work proposes a very simple to implement yet effective metric effective invariance or ei to assess the invariance of a model with respect to some input transformation the main novelty of the proposed method is that it does not rely on the true label but rather on the agreement between the predictions given an imag...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles an important problem in federated adversarial training robustness accuracy significantly drops at the later stage of training the authors first raise their assumption for the cause of thi...	this manuscript proposes and analyses a weighting approach to improve the conformance of adversarial training in federated learning the authors observe that adversarial training seems to degrade during the late stages of training and suggest that this degradation is a consequence of exacerbated crossdevice bias in fede...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to inject backdoors into reallife deployments of deep neural networks on hardware more specifically it proposes a constrained finetuning process to inject backdoors by locating ...	the work studied the problem of inserting backdoor into a deployed model through bit flip some important concerns have been proposed by reviewers including the incorrect claim of the treat model the potential defenses are only discussed but not validated experimental setups and analysis eg the sensitivity test of hype...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors describe a parametrized inference approach for nonlinear dynamical models with linear observations they borrow ideas from the wellknown kalman filter and use bayesian filtering and smoothing app...	this paper presents a method for inference in statespace models with nonlinear dynamics and lineargaussian observations instead of parameterizing a generative model the paper proposes to parameterize the conditional distribution of current latent states given previous latent states and observations using locally linear...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies the causal inference problem with interference under a linear model it assumes known interference structure and present conditions under which the bias due to ignoring interference is negl...	this manuscript offers some potentially important theoretical and practical contributions in the area of causal inference particularly surrounding the assumption of iid data and how this assumption can be violated in the presence of interference the manuscript describes a modeling framework for such interactions and de...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an online conformal prediction algorithm which is proven to satisfy a thresholdcalibrated multivalid coverage guarantee definition 21 compared with prior work several advantages of the p...	this paper proposes a conformal prediction based method for sequential prediction relaxing the exchangeability assumption it is robust to distribution shift and achieves groupconditional coverage guarantees the method is efficient novel and outperforms existing methods all the reviewers including myself find the pap...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper contributes to the study of the number of linear regions in relu neural networks an approximate probabilistic counting algorithm is used to estimate the lower bound of that quantity whereas an up...	the paper seeks to obtain faster means to count or approximately count of the number of linear regions of a neural network the paper improves bounds and makes an interesting contribution to a long line of work a consistent concern of the reviewers is the limited applicability of the method the empirical evaluation ca...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the singlepositive multilabel learning problem in which the learner only observes one label in the label set of each instance based on the estimated unobserved labels for each instance th...	this paper studies the singlepositive multilabel learning problem in which each example is annotated with only one relevant label the problem is practical and challenging to address this problem this paper proposes a new unbiased estimator with a theoretical guarantee the idea is novel and technically sound the experim...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a way of transforming rnns into attention based models the basic idea is to simply allow every cell to read the from all other cells instead of just the one immediately precedin...	the paper proposes a new computational block called starsaber which is a selfattention based block derived from rnn fixedpoint approximations all the 4 reviewers and the authors agree that the work is not ready for publication while the motivation of the authors is interesting some reviewers have raised concerns about...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a textbased robot instruction following benchmark where the instructions have different levels of ambiguities and the agent needs to resolve them via understanding both human intention a...	the authors presented a new textbased benchmark environment where agents are challenged to follow ambiguous instructions to help humans achieve their goal review summary strengths almost all reviewers agreed that the paper provided an important novel contribution by focusing on a benchmark for collaborative agen...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the problem of learning to subsequently execute tasks and transitioning from a first task to a second task the work contributes a method to train transition policies and a method to deci...	description of paper content the paper proposes a strategy to train a transition policy that can connect two pretrained policies the transition policy tries to reach stateaction pairs that are within the occupancy distribution of the second policy using inverse rl the technique was evaluated on robot manipulation and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work builds on a sumtop k identity to derive a pathwise differentiable sampler of unimodal row stochastic matrices the plackettluce family has a tractable density an improvement over previous works and...	this paper proposes a generalpurpose continuous relaxation of the output of the sorting operator this enables endtoend training to enable more efficient stochastic optimization over the combinatorially large space of permutations in the submitted versions two of the reviewers had difficulty in understanding the writin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a simple method for the arbitrary conditioning problem which trains an amortized inference network for the distribution qz xo compared with previous work the method does not require repa...	the paper presents a method for conditional generation of part of the data variable given the rest part where the joint data distribution is defined by a trained vae the partition can be made arbitrary a model standing alone from the vae is trained extension for faster active feature acquisition is also presented all r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this work is an empirical study of the relevance of the information bottleneck principle as a way of understanding deeplearning it is carried out in the setting of realistically sized networks t...	this paper explores an approach to testing the information bottleneck hypothesis of deep learning specifically the idea that layers in a deep model successively discard information about the input which is irrelevant to the task being performed by the model in fullscale resnet models that are too large to admit the mor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a datadriven approach to automatically learn the learning rate schedule for a given datasettask the paper claims that existing rlbased adaptive learning rate schedule methods are insuf...	description the paper develops a new automatic scheduler to schedule the learning rate during the training the scheduler has access to the current training state summarized by certain statistics of weights and gradients in all layers and the loss history it is trained by reinforcement learning with the reward derived...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use a discrete gaussian distribution the generate noise for differential privacy while it is claimed that the discrete gaussian distribution is better than the binomial distribution...	the paper considers differentially private federated learning a wellmotivated problem the proposed algorithm is a simple modification to existing methods eg dpfedavg but uses a different dp mechanism for noiseadding the reviewers liked the motivation but criticized the work for its incremental nature and for somewhat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors of this paper propose an compression technique for gnns that was inspired by lifted inference the compression consists of removing asymmetries by merging nodes they define two algorithms for com...	the paper shows that show that methods for probabilstic lifted inference can also be used to compress symmetries in convolutional models over structured data the resulting structured convolutional models are then shown to yield speed ups for learning graph neural networks too this is highly interesting since the existi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a model for verifying semantic equivalence between symbolic linear algebra expressions expressions are represented by trees and equivalence is proven by a sequence of axioms ap...	i think this is a very promising paper but the work is not ready for publication the most significant concern shared by several reviewers is the insufficient evaluation for example the work is not compared with more traditional approaches to equivalence checking or any other baselines beyond ablations of the proposed...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors introduce a relational surrogate loss learning method reloss for replacing the original losses the rationale and intuition behind are wellgrounded experiments on various tasks and ablation studi...	the paper presents an approach to learn the surrogate loss for complex prediction tasks where the task loss is nondifferentiable and nondecomposable the novelty of the approach is to rely on differentiable sorting optimizing the spearman correlation between the true loss and the surrogate this leads to a pipeline that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper build on recent progress in implicit object representations and where the representations are trainedor finetuned along with a feature head on down stream manipulation tasks experiments are condu...	the paper initially received negative reviews the authors did a good job during the response period two reviewers have updated their scores to 6 the ac has carefully read the reviews responses and discussions and agreed that the authors have also mostly addressed the concerns of reviewer gsut as well it is unprofession...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is working on a robust classifier that consists of two stages the first stage performs unsupervised conditional kernel density estimates kde of the covariate vectors and the second stage is featur...	all three reviewers feel that the paper needs to provide more convincing results to support their robustness claim in addition to a number of other issues that need to be clarifiedimproved the authors did not provide any response
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes the mean square error loss with whitening operation to project positive pairs closely to each others while projecting the different positive pairs far away from each other on a unit sphe...	this paper received borderline recommendations 5 5 6 7 but even the two slightly more positive reviewers were lukewarm r1 and r2 while the reviewers acknowledged the heavy computational requirements to do an applestoapples comparison with existing baselines they remain underwhelmed with the lack of experiments i agree ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper diversity and depth in perexample routing models extends previous work on routing networks by adding diversity to the type of architectural unit available for the router at each decision and by sc...	pros good clear writing interesting analysis very important research area nice results on multitask omniglot cons somewhat limited experimental evaluation the reviewers i think all agree that the work is interesting and the paper wellwritten i think there is still a need for more thorough experiments which it s...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary of the paper this paper addresses the task of understanding procedural text using a reading comprehension based approach this work proposes jointly modeling entity attributes and transitions in o...	this paper proposes a model for reading comprehension of procedural texts that jointly predicts entity attributes and transitions in entity state the model achieves stateoftheart results on multiple datasets reviewers appreciated both the novelty and the simplicity of the proposed model as well as the strong empirica...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i thank the authors for a thoroughly written paper studying an important question for both machine learning and neuroscience the authors propose a biologically inspired modification to cnn architectures by ...	this paper explores the use of a texturebased foveation stage in scene categorization they show that the foveated system shows presevation of high spatialfrequency information relative to other matched transformations this paper engendered a lot of discussion and had a wide range of ratings an extra review was reque...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces fedpara a lowrank based method for achieving communication efficient federated learning on the clientside low rank factorized models are trained different from the traditional approach...	dear authors the response you have provided based on the main concerns of reviewers have answered most of the questions raised as far as i understand from the added experiments you have provided the proposed methodology shows resilience in being at least as good as state of the art approaches while at the same time i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission details a novel technique to learn the routing in capsule networks for image classification tasks connecting capsules in such architectures typically requires iterative approaches which are c...	the paper proposes a new variant of capsule networks where iterative routing is replaced by an attentionbased procedure inspired by induced set attention from set transformers the method is competitive on several classification benchmarks and improves generalization to unseen views on smallnorb the reviewers note that...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides empirical evidence that sparse networks obtained using the lottery ticket hypothesis are also effective recognisers in settings where small datasets are available extensive experiments a...	the paper has received borderline and positive reviews overall the reviewers find the empirical contribution of the paper to be interesting and solid enough even though one reviewer find the explanations given in the paper to be a bit shallow the rebuttal was nevertheless convincing the area chair agrees with the revie...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new task of semantic actionconditioned video prediction the purpose of this task is to generate future frames given objects and action pairs the paper presents a new model for this tas...	this paper presents work on semantic actionconditioned video prediction the reviewers appreciated the interesting task and use of capsule networks to address it concerns were raised over generalization ability of the proposed approach points on clarity scalability and handling of uncertaintydiversity by the method a...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper introduces vlmbench a new benchmark for visionbased robot manipulation compared to the prior counterparts the tasks in this benchmark are compositional in terms of action objects and their attributes ...	the paper presents a benchmark for a domain that is of significant interest to the community and a complete pipeline is proposed and demonstrated the work proposes a systematic way to describe tasks in robotic manipulation problems suitable for the datasetbenchmark presented while reviewers were able to explore the too...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a twostage defense method to improve the adversarial robustness over different perturbation types specifically it first builds a hierarchical binary classifier to differentiable the pertu...	the paper proposes a model to defend against multiple lp norm attacks by classifying those attacks the reviewers raised several concerns about the methodologies furthermore its not clear how the proposed algorithm can deal with an unseen attack eg only trained on l1 linfty attacks but encounter l2 attack in the testing...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper addresses the problem of graphsubgraph similarity search in terms of the edit distance termed gedsed respectively unfortunately both ged and sed are np hard with exponential search space making th...	the paper proposes a new method for subgraph similarity search by learning embeddings via a gnnbased approach to reflect the edit distance between subgraphs reviewers highlighted that the paper proposes an intuitive and promising approach to an interesting problem and provides a good balance between theoretical and emp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed a method for learning the optimal individualized treatment rule itr it focuses on a situation of having extensive treatment options but limited observations for only a small number of sp...	this paper proposes a method for learning the optimal individualized treatment rule itr the proposed approach uses a fusion penalty term that encourages clustering between treatments a dendrogram of the treatments is generated by running the proposed algorithm using different tuning parameters as a solution path the ef...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a learnable frontend for classification tasks on audio signals the proposed learnable audio frontend leaf is a generalization of a mel filterbank used commonly in machine audition leaf co...	all reviewers agree that the paper has a clear and solid contribution furthermore all of them highlight that the paper has improved significantly after revision hence my recommendation is to accept the paper as a brief summary i highlight below some pros and cons that arose during the review and metareview processes p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: strengths the paper uses category theory to formalize the idea of causal model equivalence which is rather elegant and consistent with previous works in category theory applied to causal modeling the theory...	this paper studies some notions of equivalence between and abstraction of causal bayesian network models in categorytheoretic terms the basic idea is to treat a causal model as a functor from a daginduced syntax category to the category of stochastic matrices and define one model being an abstraction of another in term...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: what is the problem question how effective are pretrained language models plms in zeroshot settings across diverse prompting strategies and tasks why is it impactful recently there have been a battery o...	the paper focuses on zeroshot capability of bertlike models the key contribution boils down to a novel prompting techniques that effectively ensembles predictions made for mask tokens inserted at different places reviewers b5rv and 9k3x voted for rejecting mostly on the grounds that the contribution is not significant...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is generally wellwritten lacking details in some sections though my main criticism is about the lack of motivation for nonnegative vae and lack of comparison with nmf comments the motivation of ...	the paper introduces a variant of the variational autoencoder vae for probabilistic nonnegative matrix factorization the main idea is to use a weibull distribution in the latent space there is agreement among the reviewers that the paper is technically sound and well written but that it lacks in motivation and demonstr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new kd method to inherit classifier from teacher models and utilize it to train the student model feature representation where previous kd methods are mostly focusing on the proxy task...	this paper presents a knowledge distillation method for face recognition by inheriting the teachers classifier as the students classifier and optimizing the student model with advanced loss functions it received comments from three reviewers 1 rated ok but not good enough rejection 1 rated marginally below and 1 rated...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: paper proposes a new method for metalearning hierarchical imitation learning provides theoretical analysis of the algorithm showing its convergence and demonstrates sota results on the metaworld benchmark a...	phase 1 strengths the paper is overall well and intuitively written it includes convincing theoretical and empirical results and detailed ablation studies most reviewers appreciate the sound technical contributions and simulationbased experiments weaknesses a big limitation is the absence of real robot experiments an...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper develops an asynchronous multiagent actorcritic approach that allows agents to directly optimize asynchronous strategies in three stateoftheart multiagent training paradigms decentralized learnin...	all reviewers appreciated the clarity of writing thorough evaluation and effectiveness of the proposed method some reviewers had concerns about the novelty of proposed ideas however i feel these have been satisfactorily addressed in the authors rebuttal thus i recommend acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose interpreting the decision of a blackbox bb image classifier using diverse counterfactual explanations the proposed model consists of a pretrained tcvae which learns to extract a ...	the authors propose to use counterfactual aka as contrastive as they do not account for causal mechanism explanations to explain the errors of an already trained predictive model with images as input data to this end the authors rely on the manipulation of the latent space of a vae with disentangled representations i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a method for predicting a prediction interval the authors compare this method to deep ensembles and show improved performance on a set of benchmarks the are several things i like about...	the paper presents piven a deep neural network that produces a prediction interval in addition to a specific point prediction piven is distribution free and does not assume symmetric intervals all the reviewers agree that the paper investigates an important problem and the paper is wellwritten the reviewers also id...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors formulate a way to transform finitesum optimization problems in a proxy strongly convex problem and prove that it converges to a global minimum in a number of gradient steps that scales inverse ...	this paper proves a global convergence rate of a newly proposed algorithm finite sum problem under some assumptions while the proposed algorithm provides some interesting ideas to solving the finite sum problem using intermediate proxy solver the current assumptions are too strong and im afraid that this can make the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study a single index model sim for observations of the form y fax with f being unknown nonlinear function a is gaussian and covyax2 neq 0 this is also referred as misspecified phase retrieval m...	in this paper the authors study the standard phase retrieval problem in the case where the signal is assumed to come from a generative model prior in particular they propose an algorithm that starts with a spectral method followed by an iterative approach the authors provide two theorems giving guarantees on the perfor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies an approach to simplify the computation of prediction functions under constraints on pathspecific effects for the case where the the direct effect of the treatment to the outcome variable ...	the paper proposes an approach to facilitate the learning of predictive models satisfying certain path specific fairness constraints by introducing a reparameterization of the likelihood to reduce the computational complexity of the associated optimisation problem in combination with empirical likelihood techniques to ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper performs an empirical study of selfsupervised learning for rl from pixels specifically the study considers different ssl objectives eg moco byol etc evaluates them using the rl auxiliary ssl obje...	the paper studies an important question and extends the contrastive reinforcement learning framework to jointly optimize ssl and rl losses the paper also experiments with various selfsupervised losses to empirically validdate the main claim the existing ssl framework for rl fails to bring meaningful improvement over ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper considers a combinatorial multiarmed bandits cmab setting where multiple users interact with a learning algorithm the algorithm recommends arms and the users decide whether they want to follow al...	this paper investigates the problem of incentivized exploration in the combinatorial semibandits setting the reviewers are overall positive about the paper the main concern of the paper is that the contribution is incremental given the number of prior works on incentivizing exploration the authors responses have more...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors are concerned with the classification of eeg signals in order to predict age gender depression and axis 1 disorder diagonosis from eeg signals after standard preprocessing and optionnal...	the approach is novel and according to the reviewers comments addresses a relevant and important problem on eeg data analysis differences to related work are discussed methods and experimental results are sound the authors have provided a comprehensive response to the reviews
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents two contributions 1 it expands on linear transformers by introducing a feature map phi expx function whose dot product approximates the softmax kernel dubbed shift invariant kernel funct...	all reviewers are in agreement to reject this paper the main objection is that the tasks chosen are small scale and that the mixed results are not strong enough the authors did not attempt to raise substantial issues to be discussed
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to make the geometric neurons of melnyk et al21 to be steerable so that objects undergoing arbitrary rotations can be classified with higher accuracy this is done in multiple stages firs...	the paper proposed a new kind of neurons for 3d spherical data classification all the reviewers agreed that the new kind of neurons makes a good contribution however all the reviewers also agreed that the experiments are too weak only at the proofofconcept level and no comparison with the state of the arts only reviewe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper tackles the problem of outofdistribution ood generalization of deep learning models with a novel adversarial training formulation dat that introduces a shared adversarial perturbation per training...	this paper links ood generalization with adversarial training and argues that adversarial training can help address the problem of ood generalization based on all responses and reviews there still are novelty concerns in this paper in the meantime this paper lacks theoretical justifications more importantly dat only co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose code editing that control bitrate of neural image compression with semiamortized inference the authors solved the performance decay in low rate of code editing by making the quantizati...	thanks for your submission to neurips the reviewers are all in agreement that the paper is ready for publication they in particular appreciated your rebuttals and changes to the paper and increased their scores as a result the proposed method is novel interesting and performs well
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: targeting at less overhead in designing complicated architectures for geometric deep learning and training the paper proposes a simple yet theoreticalgrounded representation of equivariant features named fr...	pcs agree with the ac assessment we strongly encourage authors to incorporate these suggestions in order to improve clarity accessibility and the relation to existing work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to apply binary networks on point clouds to my knowledge this is the first time that this is attempted so unquestionably the topic of the paper is interesting from what the auth...	the authors propose techniques to deal with binarization of 3d point clouds and propose ema and layer wise scale recovery that improve results across the board for pointnet style models an accept
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper investigates the problem of data valuation using shapley valuebased approximation methods the authors propose a new value function that incorporates the notion of inclass and outofclass accuracy a...	the reviewers agree that the paper makes a potentially interesting contribution and clearly holds promise but also that it needs another round of revision the authors rebuttal was very much appreciated and could indeed clarify some misunderstandings eg a single vs several cooperative games though it also left some ques...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduced a novel method for unsupervised imagetoimage translation with density changing regularization different from most recent work which either assume a cycle consistency or employ contrasti...	this paper addresses the densitymismatch problem in imagetoimage translation by introducing a patchwise variance constraint regularization the approach is simple and effective according to the reviewers there were some general concerns about the validity of the assumption but the authors appear to have sufficiently add...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 summary contributions this paper develops an approach for solving a simplified circuit routing problem which is to find nonintersecting paths between pairs of points so called nets in a grid the pape...	the paper studies an interesting problem motivated by vlsi design the reviewers agree that there are interesting aspects of the rc algorithm nevertheless the paper could be improved by a clearer characterizationapplestoapples comparison to baselines particularly regarding computation cost use of parallelism as well as ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors present a nearest neighbour method for learning a model offline from the statistics of the given data set representations are provided from other offpolicy deep rl methods value iteration is use...	this paper proposes an algorithm for offline rl that consists in solving a finite mdp derived from a fixed batch of transitions the initial reviews were overall positive and the concerns raised at this stage were nicely addressed by the rebuttal and the revision from the authors the final discussion led to the consensu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper argues that language models lms require mechanisms to retain information about context words for better next word prediction several free recall experiments have been conducted to determine if su...	this paper explores the memorization of tokens in prior context in lstm and transformer based language models while all reviewers agree this is an interesting and important direction worth studying they raise several concerns about the validity of the experimental setup and the conclusions drawn about lstms primarily t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper focus on understanding the expressiveness of subgraph graph neural networks under its proposed nodebased subgraph selection policy the author demonstrates the representation power as strong as 3w...	this paper studies the recent hot topic in gnn namely subgraphbased gnns which apply gnn to each nodecentered subgraph copy of the original graph instead of directly applying gnn to the full graph these gnns were shown to be more expressive than 1wl but were unknown in terms of their upper bound of expressive power thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper addresses the problem of robustness for extracting factual information from large language models it first describes and motivates the problem of inconsistent predictions of large language models...	this paper introduces a prompting technique for eliciting factual knowledge from frozen pretained transformer lms the key idea is to modify the embeddings produced by the embedding layer before they are passed to the first attention layer and the paper investigates several different design choices the reviewers all agr...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed and explained an opensourced experimental design platform powered using bayesian multiobjective optimization to accelerate discovering solutions with optimal objective tradeoffs the auth...	the reviews are of good quality the responses by the authors are commendable but reviewers remain of the opinion that the scientific contribution of the paper is limited no matter how strong the software engineering contribution may be
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in vr first person perspective is considered the better choice for embodiment third person perspective has its own advantages as evident in many 3d games this paper explores the third person perspective f...	overall this is a good study of third person perspective in vr locomotion and interaction some of the explanations could improve with diagrams conclusions could be better written there are some typos and problems with citations which should also be corrected all reviewers agree that the paper should be accepted pleas...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method that offers explanation of action preference in a deep rl agent based on given features by the human in other words the model explains why action a is preferred to action b base...	this paper tackles the important problem of endowing deep rl agents with added interpretability action values are decomposed as the combination of gvfs learned on externallyspecified features offering action explanations in terms of discounted future returns in the space of interpretable quantities reviewers praised th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: working in the teacherstudent setting the authors propose and study a possible method of improving the efficacy of the teacher network by manipulating the temperature parameter of its probability density ov...	this paper studies distillation consequences of carefully tuning the softmax temperature reviewers found a variety of weaknesses but were positive overall i recommend acceptance but that the authors carefully address the concerns raised during review which will greatly improve the strength of the papers message
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper looks at one specific aspect of transformer architectures the normalization step that constrains the attention vectors in a probability simplex the authors argue that this restriction has some l...	this paper studies potential drawbacks in using softmax over attention in transformers and evaluates other normalization approaches reviewers while had been positive about the empirical analysis and the insights from the synthetic data experiments agree that the paper lacks real world experimentsinsights i agree with t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper describes a theoretical model based on recurrent and convolutional neural modules that achieves what the authors call turingoptimality more specifically the authors argue that a randomly initiali...	in discussion of this paper we agree that this paper presents a very novel treatment of learning algorithms and presents a new topic with an original formalization of the problem which will be of substantial interest to the neurips community the reviewers agreed that a formal understanding of rnn is of interest it is n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary in this work the author focus on transfer in rl via proposing to transfer knowledge through behavior instead of representations they propose using coverage as an objective for the pretraining pro...	the paper studies the unsupervised rl problem where the agent is allowed to interact with the environment for a certain amount of time without any extrinsic reward the main idea is that the initial unsupervised training phase can be used to learn a set of skills that could help both in exploration and zeroshot transfer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: valuedriven hindsight modelling proposes a method to improve value function learning the paper introduces the hindsight value function which estimates the expected return at a state conditioned on the futur...	i agree that it is an interesting idea and shows promise however given the current exposition and investigation done in the paper about the approach i feel that a weak accept is the right decision for this manuscript i hope this doesnt deter the authors from working on this in the future and i hope to see a more polish...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper argues that recently developed detection transformers didnt employ pretraining on transformer layers and not benefit from pretraining hence it proposes fpdetr to fully pretrain transformer on ima...	summary authors present an approach for transformer based object detection that fully pretrains the encoder structure of the transformer and drops the pretrained convolutional backbone used in other works pros eliminates need of extra visual backbone fewer parameters than other works achieves competitive performan...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: standard reinforcement learning algorithms such as ppo have several batch size hyperparameters parameters and changing them impacts how one needs to choose the step size to better understand these algorithm...	this paper studies the method to achieve the batch sizeinvariant for policy gradient algorithms ppo ppg the paper achieves this by decoupling the proximal policy from the behavior policy empirical results show that the methods are somewhat effective at providing batch size invariance after reading the authors feedback...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this is an interesting submission and i appreciate especially connecting to a body of literature which is not normally well known in our community eg fukumizuamari i think the perspective is definitely new ...	the paper proposes a method to escape saddle points by adding and removing units during training the method does so by preserving the function when the unit is added while increasing the gradient norm to move away from the critical point the experimental evaluation shows that the proposed method does escape when positi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper discusses the addition of a regularizer to a standard sparse codingdictionary learning algorithm to encourage the atoms to be used with uniform frequency i do not think this work should be acc...	this paper shows how to obtain more homogeneous activation of atoms in a dictionary as reviewers point out the paper is well written and indeed shows that the propose scheme results in a more uniform activation however the value of this contribution rests on making a case that uniformity is indeed a desirable outcome p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to use a transformer to perform multitask manipulation via languageconditioned behaviorcloning the key challenge is transformer is known to be data inefficient by casting behaviorcloning...	strengths the contributions are interesting and relevant to the corl community the experiments are generally convincing the paper includes experiments on a real robot the paper is wellwritten there is a detailed discussion of the limitations in the appendix weaknesses there are a lot of similarities with the arm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents a comprehensive unsupervised node outlier detection benchmark called unod that aims to understand graph od algorithms performance better it examines fourteen od methods on realworld and ...	this paper focuses on the task of anomaly or outlier detection in graphs it provides a formulation of the notion of anomalies that enables synthetic injection of them into existing data in addition to the consideration of organic anomalies while reviewers raised certain concerns about the benchmarking procedures as wel...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors consider a problem of modeling distribution evolution given samples for different discrete time moments the paper consists of several parts first the authors describe some concepts on how to...	even though several concerns have been raised by multiple reviewers the reviewers largely agreed on the significance and novelty of the contributions the authors provided quite detailed responses and given all the data overall i believe the strengths of the paper outweigh its weaknesses hence i am recommending an accep...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provide a method for highorder structure prediction problem specifically the paper first defines a highorder structure on graphs named graph simplicial complex gsc then the paper introduces a fea...	this paper proposes a method for predicting higherorder structure in timevarying graphs the paper was reviewed by three expert reviewers and while they expressed appreciation for the sensible solution they have remaining concerns about the novel contributions and comparisons analytical and empirical with previous appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studied the decentralized adaptive gradient methods and provided convergence guarantees experiment on mnist is conducted to show the effectiveness of the proposed approach 1 the theoretical res...	the reviewers have some following concerns 1 there is lack of experimental result the experiment on mnist with small cnn architecture is definitely not sufficient to verify the efficiency of the proposed method moreover the advantage of the proposed method is not very clear due to the choices of the parameters the ch...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: originality the paper approaches a previously explored problem under less restrictive assumptions with an estimator that generalizes a previously known one this provides sufficient originality significan...	the paper studies an extension of the rlearner to settings where both experimental and observational data are available the author show that asymptotically the proposed estimator converges to the truth at least as fast as the estimator that uses only experimental data this is an interesting extension of important work ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to recalibrate the probabilistic predictions of machine learning models by learning a secondary function that maps from their output parameters to a new set of calibrated distribution pa...	the reviewers highlight that several of significant claims of the paper are not backed up by experiments and the experiments themselves lack sufficient detail therefore at this stage i recommend rejection i suggest the authors address the questions and comments they have received before considering whether they might r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new method for speeding up convolutional neural networks different from previous work it uses the idea of early terminating the computation of convolutional layers the method itself is...	this paper proposes a new method for speeding up convolutional neural networks it uses the idea of early terminating the computation of convolutional layers it saves flops but the reviewers raised a critical concern that it doesnt save wallclock time the time overhead is about 4 or 5 times of the original model there i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a method to select reference samples from a mt dataset that are useful to discriminate among the output of mt systems aiming to reserve sentences for which mt systems produce differentdi...	the paper presents a new evaluation dataset for machine translation focusing on sampling test examples that can effectively rank different systems the evaluation set contains a wide range of language pairs 35 language pairs and shows a higher correlation with human judgments than original unfiltered datasets all revi...

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