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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a physically sensible data augmentation that takes into account the actual variation of day light illumination in selfsupervised contexts they analyze the impact on the classification p... | the reviewers were in general lukewarm about the paper not convinced by why realistic augmentation mean more robust features in ssl had concerns over the szie of the datasets up to 100k and the success depends on the relevance of color for classification the ac agrees with the reviewers while the paper sounds interesti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors analyse the behavior of sgd under gradient clipping their analysis in the univariate case shows that gradient clipping in the heavytailed gradient noise almost eliminates the algorithms tendency... | motivated by empirical observations that sgd performed on deep networks converge to regions of flatter loss curvature relative to large or full batch gd the authors perform a theoretical analysis of trajectories of sgd with the presence of heavy tailed noise the primary observation of the theory is that heavy tailed no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper outlines a 3stage process to train policies stage 1 involves training an encoder using large image datasets to obtain taskagnostic visual representation stage 2 involves training a policy using o... | this paper introduced a simple paradigm for improving sample efficiency of training deep reinforcement learning policies for visionbased control tasks the idea is to use a 3stage pipeline 1 pretraining visual representations on largescale image datasets 2 policy training with offline rl and 3 finetuning the policy with... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the extreme multilabel text classification problem and established new stateoftheart sota results with the proposed method namely cascadexml which significantly simplified the multistages... | this paper proposes cascadexml which is an endtoend framework for the task of treebased extreme multilabel text classification it extracts the representations from different layers of a bert model and then maps them to different levels of the hierarchical label tree hlt the proposed method shows strong performance in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces to construct an input pyramid with different semantic levels for each modality it then aligns visual elements and linguistic elements in a hierarchical way the proposed pyramidclip outp... | this paper proposes pyramidclip it improve contrastive learning method clip with more finegrained information to produce multiple views of both the image and text during training during inferenceevaluation only the standard view is used the empirical results with different network architectures at different pretrainin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a method to efficiently compute upper bounds for the local lipschitz constant of relu networks in short interval bound propagation techniques are applied to the backward computational gra... | the paper develops a methodology for computing the lipschitz constant of relu neural networks when the input perturbations are measured in the linfinity norm the method is based on computing tight upper bounds on the clarke jacobian the basic idea is to apply interval bound propagation techniques to the backward comput... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a model for detecting irregularities in images such as would occur in manufacturing acceptance testing as a form of anomaly detection the claims made are for a principled modeling appro... | this work tries to tackle the problem of anomaly detection across different tasks to do so authors employ energybased models ebms and define an outlier score in terms of the ebm energies having a shared sparse code for different tasks this pipeline is tested on some image and video anomaly datasets for industrial inspe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
while the traditional document retrieval problem is formulated as mapping both the document and the query to the same vector space and then performing nearest neighbor search to find the closest document fo... | this paper proposes a new framework for neural ir given query directly predict a document id the document ids are obtained by hierarchical clustering of documents beforehand this is a novel formulation of the problem and is very distinct from current twostage methods that have a highrecall sparse retrieval stage follo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper builds on prior work on prototypical classification networks more specifically the work of li et al 2018 and additionally tries to include criteria such as orthogonality to enable applications suc... | this paper extends prototypical classification networks to handle class hierarchies and fairness new neural architecture is proposed and experimental results in support of it are presented unfortunately reviewers found that paper in its current for is not sufficiently strong to be accepted at iclr authors have made a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study sgd with and without replacement and construct counterexamples for which sgd fails to converge despite the objective being otherwise wellbehaved eg convex and smooth this appears to be a s... | this paper analyzes the behavior of sgd for stochastic convex optimization showing that there exist problem instances where the sgd solution exhibits both significant empirical risk and generalization gap in the without replacement case the finding is potentially impactful in the context of sgd generalization bounds th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the use of dijkstras algorithm for ensemble construction where the pool of classifiers to chose from is models trained during a hyperparameter optimization procedure authors show that t... | following a strong consensus across the reviewers the paper is recommended for rejection they have all acknowledged some weaknesses of the paper for instance inadequate reference to prior work unsatisfactory level of polishing too limited evaluation with more comparisons to baselines required the proposed approach... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed paper surveys recent work in evidential deep learning and provides some potential directions for future work in this space evidential deep learning is a set of techniques for calibrating uncert... | this paper surveys a collection of existing works that the author frames as evidential deep learning while the paper has been recognized as a nicely written survey all reviewers have raised the major concern that the paper does not have a sufficient academic contribution compared to the surveyed papers in particular n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
sobolev training of neural networks which augments the standard loss function with terms that penalize discrepancies between the derivatives of the network and target functions has been shown empirically to... | the paper solves a pde using an additional penalty function between the derivatives of the function on toy examples and two pdes it is shown that these additional terms help pros the motivation is to include derivatives in the computationa implementation and testing on several examples including highdimens... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the lottery ticket hypothesis which says that there is an underlying subnetwork lottery ticket in a neural network such that if we train it we will obtain a better test accuracy compared ... | even though the authors revised the problem formulation the paper seems not ready for publication the assumptions are still too strong the learning algorithm assumes knowledge of the sparsity mask the proof technique also heavily relies on zhong et al17 without properly highlighting the difference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a learning scheme for the unsupervised acquisition of skills these skills are then applied to 1 accelerate reinforcement learning to maximize a reward 2 perform hierarchical rl and 3 imi... | there is consensus among the reviewer that this is a good paper it is a bit incremental compared to gregor et al 2016 this paper show quite better empirical results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new approach for enforcing sparsity with the l0regularization technique proposed by louizos et al that allows for explicit specification of the target sparsity at the end of the optimi... | ratings 7857 confidence 3444 discussion among reviewers no summary this paper introduces a method for learning neural networks with an exact sparsity target instead of regularization constraints the method builds on the smoothed l0 regularization objective from louizos et al which was shown to be difficult to scale ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper concerns with uniform sampling from deep generative networks such as gans and vaes the training samples of dgns are often biased as they are obatined based on preferences costs or convenience tha... | the paper proposes a simple method for uniform sampling from generative manifold using change of variables formula the method works by first sampling a much larger number of samples n from uniform distribution in the latent space and then does sampling by replacement using probability proportional to change in volume t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript introduces a novel and interesting approach to weight sharing among cnns layers by learning linear combinations of shared weight templates this allows parameter reduction better sample effici... | this paper proposed an interesting approach to weight sharing among cnn layers via shared weight templates to save parameters its well written with convincing results reviewers have a consensus on accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the approach uses feature pyramid networks which are powerful at detecting small features the approach shows improvements over the baseline approaches the approach has potential to be pluggedin to other a... | the authors propose a new architecture to address a specific detection problem since the architecture rely on existing components the methodological novelty is marginal however the authors address a novel application they provide a thorough evaluation with ablation study and statistical test the authors took the r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall this is an incremental paper the authors propose a hierarchical attention layer which computes an aggregation of self attention layer outputs in the multi level attention model this seems like a sma... | the authors propose a hierarchical attention layer which combines intermediate layers of multilevel attention while this is a simple idea and the authors show some improvements over the baselines the authors raised a number of concerns about the validity of the chosen baselines and the lack of more detailed evaluations... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new mcmc transition kernel this kernel is parameterized by neural networks and is optimized through an objective maximizing the proposal entropy specifically the authors use a combinat... | this paper proposed an mcmc sampler that combines hmc and neural network based proposal distribution it is an improvement over l2hmc and titsias dellaportas 2019 with the major innovation being that the proposed normalizing flowbased proposal is engineered such that the density of the proposal qxx is tractable experim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a method for training model that are robust to spurious correlations building upon prior work that uses productofexperts and a model explicitly trained on a dataset bias eg a hyp... | this paper considers the problem of learning models for nlp tasks that are less reliant on artifacts and other datasetspecific features that are unlikely to be reliable for new datasets this is an important problem because these biases limit outofdistribution generalization prior work has considered models that explici... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper builds on the neural ode framework by using delay differential equations ddes instead of ordinary differential equations odes this can help in the modeling of systems with a time delay effect and ... | this paper is a variant of the large growing class of neural odes and adds dependency on a time delay to the baseline which allows to model a larger class of physical systems in particular adding the possibility of crossing paths in phase space after initial evaluation the paper was on the fence with 2 reviewers provi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel 2stage classification network where the 1st stage consists of a normal feedforward pass through a network and the 2nd passintrospection creates a set of features using gradients... | the paper proposes an approach for reflecting on model predictions in a classification task the approach is novel and empirical evaluations show significant improvement over standard predictive networks one of the reviewers is critical of the paper because this is not the first twostage approach proposed i do not think... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work highlights the existence of imbalanced gradients as a phenomenon that may hinder optimization of gradientbased adversarial attacks and thus give a false sense of robustness imbalanced gradients ma... | the paper identifies a subtle gradient problem in adversarial robustness imbalanced gradients which can cause create a false sense of adversarial robustness the paper provides insights into this problem and proposes a margin decomposition based solution for the pgd attack pros novel insights into why some adversarial... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a method for learning physics priors is proposed for faster learning and better transfer learning the key idea in learning physics priors using spatial net which is similar to a convolutional lstm model for... | the paper suggests a new way to learn a physics prior in an actionfree way from raw frames the idea is to learn the common rules of physics in some sense from purely visual observations and use that as pretraining the authors made a number of experiments in response to the reviewer concerns but the submission still fel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors demonstrate that transformers obtain impressive performance even when some of the layers are randomly initialized and never updated the authors have experiments on four types of reservoir transf... | the reviewers were split between accept 7 and borderline reject two 5s all three reviewers acknowledged that the proposed approach is simple and intuitive but this paper follows for the most part the concept of reservoir operation and apply it to transformers the main criticisms were insufficient experiments r5 and the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe is a data analysis study on iclr submissions from 2017 to 2021 several variables such as gender location prior experience and topic of the papers is considered the study is mainly univariate and t... | the authors have not responded to my concerns in the rebuttal response post which are crucial in justifying their methodology and reliability of their observations lack of multivariate analysis and unjustified generalization using limited and possibly biased subset of the data there are no connections made with the top... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a problem of learning stepsize policy for lbfgs algorithm this paper falls into a general category of metalearning algorithms that try to derive a datadriven approach to learn one of the p... | the paper presents a novel procedure to set the stepssize for the lbfgs algorithm using a neural network overall the reviewers found the paper interesting and the main idea wellthought however a baseline that was proposed by one of the reviewers seems to be basically on par with the performance of the proposed algorith... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors hypothesize that description of visual texturesobjects using summary statistics as may be doing the human vision in the periphery may induce robustness to adversarial examples in the discussio... | this paper shows that images synthesized to match adversarially robust representations are similar to original images to humans when viewed peripherally this was not true for adversarially nonrobust representations additionally the adversarially robust representations were similar to the texform model image from a m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on improving the condition of overparameterization for stochastic gradient descent on overparameterized shallow neural networks the authors first present a general global convergence resu... | this paper shows sgd enjoys linear convergence for shallow neural networks under certain assumptions however reviewers reach the consensus that this paper lacks technical novelty the meta reviewer agrees and thus decides to reject the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce virtual mcts which approximates its vanilla version with a smaller amount of computations they also perform theoretical analysis as well as empirical performance analysis on 9x9 go and... | i found this to be an interesting paper as the reviewers indicated it could be improved in terms of clarity and i strongly encourage the authors to consider those comments carefully as ultimately this could only make their paper more impactful in particular the authors could consider how to be clearer about their cla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper applies the recently proposed selfsupervised learning method barlowtwins to graph structured data for constructing the augmented version of a graph previous methods such as edgedropping or feature... | the paper proposes to use the recently introduced barlowtwins contrastive learning objective to the case of graph networks the main concern raised by reviewers was the limited novelty of this work which they argued mostly combines existing lines of work and does not introduce sufficiently new concepts this was also dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a quantum pyramidal circuit to achieve an orthogonal layer of a neural network which is fast and can maintain orthogonality the angle gradients are derived the authors implement the or... | this paper introduces a quantum pyramidal circuit for the computation of orthogonal layers in neural networks and implements the algorithm on simulators and on a quantum computer to illustrate its effectiveness it also obtains an on2 classical algorithm for forward and backpropagation the reviewers generally found str... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper argues that regularizationbased approaches to continual learning fail to distinguish between classes from different tasks in the classincremental setting without relying on task labels to simplif... | all four reviewers recommend rejecting the paper however there is agreement that this is an interesting line of research and the ac agrees reviewers provided extensive and well educated feedback the authors did not respond to the raised concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to learn generalizable representations without labels to this end this paper proposes maximum entropy coding mec inspired by the principle of maximum entropy in information theory mec uses t... | the paper in general received three positive feedbacks and ratings the three reviewers all recognize the theoretical soundness of the paper and the paper is also clearly presented with informative and strong experimental results there is a few places making one reviewer less comfortable in terms of the exact effectiven... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an uncertaintyaware hierarchical refinement scheme for incremental implicitlyrefined classification exploring inheritance relations of multilevel semantic increment it consists of a glob... | three reviewers are positive on this paper although the rating of one reviewer is borderline reject he is fairly confident in his assessment in effectthe authors have well addressed all the reviewers concerns in the rebuttal so i suggest accepting this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to select parameters for augmentation through a training procedure without validation data like the prior work on augerino it does so by introducing a bayesian model selection framework f... | after reading the submission and its reviews my understanding is that the submission proposes to use a tractable laplace approximations general gaussnewton and kfac to learn suitable invariancesaugmentation for the considered neural network the derivations of this paper and the description of the method are clear and w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to solve wasserstein gradient flows based on the jko scheme using variational formulations of functional objectives such as the kl divergence or the generalized entropy nonlinea... | the paper proposes a minmax reformulation for jko gradient flows appealing the variational formulation of fdivergences this would alleviate the need of an explicit density all reviewers pointed out the limited novelty in the work and the limited experimentation we encourage authors to add a theoretical analysis to t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for controlling unfairness of a model when the test distribution may differ in the marginal distribution of a feature such as gender race it derives a statistical test for checki... | the paper studies the setting of groupbased fairness under the socalled demographic shift where the marginal distribution of the data remains the same conditional on the subgroup but the subgroup distribution can change it provides a class of algorithms which give high confidence guarantees under demographic shift in b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an allpair message passing scheme based on a kernelized gumbelsoftmax operator to reduce the complexity of message passing from quadratic in number of nodes n to linear time at the cos... | the paper presents an approximate way to perform allpair message passing within the context of gnns the papers main contribution is a series of extensive empirical results and at the same time theoretical justification for the approach all the reviewers liked the paper and noted the impressive scalability of the approa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an inverse reinforcement learning approach for learning from diverse thirdperson videos the key component of the method is representing the frames of videos with graphs which capture s... | this paper proposes an interesting approach to learning rewards from a diverse set of videos and has received some strong reviews the approach is original and the paper wellmotivated and wellwritten the experimental section is thorough with good results and includes experiments on a real robot using a graphbased method... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an accelerated mcmc method for sampling motivated by nesterovs accelerated gradient nag method starting from the high resolution ode of nag obtained in shi et al the paper applies a two s... | the paper considers the high resolution continuous limit of nesterovs accelerated gradient nag algorithm and its connections to sampling mcmc methods the paper develops a hessianfree high resolution hfhr ode and injects noise into it to obtain an accelerated sampling algorithm further the paper provides a discretetime ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new face rendering technique to synthesize paired nirvis images for improved face recognition in nir space unlike the previous methods which use imagetoimage translation models learned... | the paper received 3 positive reviews the reviewers all lean towards acceptance after the rebuttal overall this work can be of large interest to the community working on nirvis recognition but i hope the authors will present additional visualized results as suggested by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a knowledge distillation kd approach for selfsupervised learning ssl with small neural network models the authors first observe that the stateoftheart contrastive learningbased ... | there is definite consensus on this paper with all reviewers expressing very favorable opinions the author responses are very well articulated and address the main concerns expressed by the reviewers the paper is very wellwritten and the ablation study wellexecuted some recent related work was missed in the original su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new valuebased method using risk measures in cooperative multiagent reinforcement learning the authors propose a new network structure that calculates global cvar through individual di... | this paper proposes a method of risksensitive multiagent reinforcement learning in cooperative settings the proposed method introduces several new ideas but they are not theoretically well founded which has caused many confusions among the reviewers although some of the confusions are resolved through discussion ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes audiovisual hubert based on the original hubert model the general idea is similar to hubert that predicts clusters of extracted features the authors further propose the modality dropout ... | paper this paper introduces an extension of the hubert audioonly model for the audiovisual setting allowing for selfsupervised pretraining of multimodal model which also performs well on the unimodal tasks lipreading and asr the paper applies the idea of modality dropout to their multimodal pretraining setup and introd... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel fewshot classification algorithm based on distribution calibration the proposed work is mainly based on freelunch yang et al 2021 where a feature extractor is first trained using... | this paper builds off of the distribution calibration approach for fewshot learning known as free lunch replacing the euclidean metric with hierarchicaloptimal transport the result is a more principled and empirically effective approach the main issues among the reviewers were concerned with the limitations of free lun... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the hierarchical topic modeling problem existing studies generally learn topic representations in the euclidean space which might lead to some limitations in capturing hierarchical relati... | hyperbolic embeddings were a fascinating alternative to euclidean embeddings that never seemed to take off despite having significant conceptual advantages in representing the oddities of semantics i am happy to see more work on curved spaces as a tool for semantic analysis this work has strong reviews and reviewers we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper compiles a dataset from various sources into one unified format for use in downstream research this dataset can be used for pretraining since it is not labelled for any specific purpose and can pr... | the reviews are generally positive though somewhat short and a large pretraining corpus for legal text will likely be useful for nlp research one reviewer gave a reject score 5 with the following two weaknesses a the dataset comes from a wide spectrum of lawrelated data sources which may differ substantially and hence... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of consistency and calibration in the setting of classification with an adversary that perturbs the inputs during inference the authors highlight the critical difference in th... | reviewers have expressed strongly in favour of acceptance one improving their score to very strong accept after the rebuttal and discussion congratulations im delighted to recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose minimummargin mm attack to provide comparable performance with autoattack while significantly decreasing the computational cost they propose sequential target ranking selection stars to ... | the paper focuses on the strong adversarial attack ie an attack that can generate strong adversarial examples and thus can better evaluate the adversarial robustness of given deep learning models one review gave a score of 8 while the other 3 reviewers gave negative scores the main issue lies in the limited experiments... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
while the title of the paper suggests that it leverages techniques from the vast literature on numerical continuation the proposed approach is much more specific the main idea consists in annealing the temp... | the paper got a quite high disagreement in the scores from the reviewers r2 voted for rejecting the paper as he did not see the connection of the algorithm to the continuation method and also that the continuation method does not address the distributional shift which is one of the main problems for offlline rl yet the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use image representations from trained selfsupervised models to evaluate gans more accurately compared to the currently used representations from supervisedpretrained models eg incept... | all four reviewers unanimously recommended for an acceptance four 7s they generally appreciated that the proposed idea is novel and experiments are convincing i think the paper tackles an important problem of evaluating gans and the idea of using selfsupervised representations as opposed to the conventional imagenetbas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies explainable nlp and surveys available datasets and taxonomizes existing data collection methodologies focusing on a categorization of highlights freeform and structured explanations the p... | the paper surveys existing datasets and data collection methodologies for explainable nlp pointing out strengths and weaknesses of existing datasets and providing suggestions for future data collection in this area overall the reviewers found the paper interesting and useful to the community but had some issues with th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed a novel setting for ssl where unlabeled data contains novel categories and it aims to simultaneously train classifiers for seen classes and discover novel classes this is achieved by intr... | this paper is proposed to address a novel but practical setting that the test set consists of both seen and unseen classes of the training set to tackle the crucial challenge of distribution mismatch between the inlier and outlier features the authors proposed a new method named orca by grouping similar instances to en... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper aims to improve adversarial robustness of the classifiers in a different perspective than the existing works usually the networks are trained using adversarial examples to improve robust... | the reviewers recognized that the proposed method is interesting and seems to be useful in some cases and the authors provided sufficient empirical results to support their claim in addition some comments have already been clarified however some reviewers still concerned that the proposed defence method will be defeate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
teaching agents to play lewis signalling games is still one of the most common ways of studying emergent communication and has historically been a test bed for our understanding of many ec dynamics in this... | this paper shows that the objective for lewis games as treated in the recent emergent communication ec literature can be decomposed into two losses an information loss whether each message refers to a unique referent and a coadaptation loss which quantifies the alignment of the speaker and listener it shows that lack o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors view maml from the lens of reproducing hilbert kernel hilbert spaces rkhs by applying tools from the theory of neural tangent kernels ntks based on these insights they dev... | this paper considers metalearning based on maml the authors use neural tangent kernels ntks to develop two metalearning algorithms that avoid the innerloop adaptation which makes maml computationally intensive experimental results demonstrate favorable empirical performance over existing methods the paper is genera... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the optimization of instancedependent sample complexity for reinforcement learning rl under linear mdp is studied the pac policy learning setting is considered which is to identify the best po... | this paper considers instancedependent complexity of learning under linear mdps based on a novel online experiment design in linear mdps the author proposes an algorithm whose sample complexity scaling with the instancedependent complexity this algorithm is worstcase optimal and beats any lowregret algorithm on an expl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addressed an interesting problem and a very relevant one how to audit generative models the most popular metric to evaluate generative models is fid but it is extremely opaque and population base... | the authors propose a new set of metrics for evaluation of generative models based on the wellestablished precisionrecall framework and an additional dimension quantifying the degree of memorization the authors evaluated the proposed approach in several settings and compared it to a subset of the classic evaluation mea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author proposed a memoryaugemented transformer where special memory tokens are added to the attention mechanism and test its performance on language modeling and sequence modeling tasks the author shows... | the paper proposes a memory augmented architecture for transformers to deal with the segmentbased long sequences the idea is simple and easy to follow a special memory token is added to the transformer and corresponding memory operations are introduced to control the storage of the information from previous segments th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summarize what the paper claims to contribute the paper develops a spatiotemporal network that is defined in terms of continuous spatial functions and continuous temporal dynamics the approach is meant to ... | this paper received 1 weak accept 1 accept and 1 weak reject all reviewers questioned the motivation for continuous spacetime with respect to biological vision obviously discrete approximations used in machine vision are approximations but it is not clear from the paper or the authors response that this severely limit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the current manuscript presented a connectome constrained latent variable model for wholebrain calcium imaging of celegans nervous system the wholebrain calcium imaging of celegans was collected while celeg... | the authors build an encoding model of wholebrain brain activity by integrating incomplete functional data with anatomicalconnectomics data this work is significant from a computational neuroscience perspective because it constitutes a proof of concept regarding how whole brain calcium imaging data can be used to cons... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the mixing time of scale invariant models whose parameters are governed by a stochastic differential equation that approximates sgd weight decay under certain regularity assumptions the ... | this paper continues a line of works studying sgd via a similar sde this time employing a variety of tools not used before for instance timerescaling and normalization layers the reviewers on one hand were concerned at times that this was incremental but also uncovered a variety of interesting contributions as such i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose globally gated deep linear networks ggdlns which is a variant of gated linear networks glns that is more amenable to theoretical analysis the paper presents a wide breadth of theoretical... | three reviewers recommend accept the reviewers praised the significant extensions of previous works the novelty of the ideas and found the theoretical analysis sound and insightful the author responses to initial feedback were found to be insightful and reassured the reviewers about their recommendations hence i am rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a pure exploration bandit problem in a setting where the reward and policies are assumed to be in rkhs spaces the main result is a passive strategy based on experimental design and bounds... | while the reviewers found several interesting points about the paper they raised several issues which prevents me from recommending acceptance of the paper in particular the paper is not positioned properly in the literature hence the novelty and the contributions are not properly clarified the approach of the paper is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the prediction problem under spurious association the idea is to construct a nuisance randomized distribution based on the observed distribution the nuisance randomized distribution is con... | the paper studies how to build predictive models that are robust to nuisanceinduced spurious correlations present in the data it introduces nuisancerandomized distillation nurd constructed by reweighting the observed data to break the nuisancelabel dependence and find the most informative representation to predict the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a selfsupervised method that trains a teacher to generate theorems and a solver to prove them the method applies to the special case of singleloop programs and an assertion that requires ... | this work presents an approach to learning to prove loopinvariant theorems organized around jointly training teacher and solver models reviewers praised its originality and creativity as well as the quality of the software artifacts produced both the ideas and the code could be valuable for the community at the same t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach for zeroshot reward specification using natural language groundings without expert demos and state information the work proposes using clips imagelanguage encoder to find the ... | this manuscript describes a method that turns sentences into reward functions by recognizing objects parsing sentences into a simple formalism and then grounding the parse in the recognized objects to form a reward for an agent 1 the title and much of the manuscript are written in a way that reviewers found confusing ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an ensemble model between a full finetuning model and a parameterefficient finetuning model to improve the outofdistribution ood performance of a full finetuning model the proposed metho... | this paper presents a method for ensembling light finetuning methods and full finetuning methods to achieve better performance both indomain and outofdomain distributions as authors agree similar idea has been explored in the computer vision literature the reviewers like the overall idea of the paper but they all had s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes two regularizers for finetuning pretrained mask lms to improve the robustness of nli and squad models when evaluated on adversarial nli and squad datasets adding the regularizers... | this paper introduces two regularizers that are meant to improve outofdomain robustness when used in the finetuning of pretrained transformers like bert results with anli and adversarial squad are encouraging pros new method with concrete improvements in several difficult task settings new framing of adversarial gen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a novel analysis to the linear mdp setting through an actor critic setup where the policy is softmaxparameterized the claim is that we can avoid mixing time and exploration based assumpti... | the paper makes a significant contribution in the rather sparse and challenging field of convergence analyses of actorcritic style algorithms under the linear mdp structural assumption showing that there is a natural bias towards being highentropy as one of the reviewers points out although it is unlikely that the stra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper used the graph scattering network as the encoder and mlp as the decoder to generate linksgraph signalsgraphs pros 1 clearly written easy to follow 2 no need to train the encoder 3 good results on... | ar1 is concerned about the novelty and what are exact novel elements of the proposed approach ar2 is worried about the novelty combination of existing blocks and lack of insights ar3 is also concerned about the novelty complexity and poor evaluationslack of thorough comparisons with other baselines after rebuttal the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presented a dialog response generation method using adversarial learning framework the generator is based on previously proposed hierarchical recurrent encoderdecoder network hred and the discri... | this paper proposes an adversarial learning framework for dialogue generation the generator is based on previously proposed hierarchical recurrent encoderdecoder network hred by serban et al and the discriminator is a bidirectional rnn noise is introduced in generator for response generation the approach is evaluated ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an imagebased learning framework for object rearrangement in particular three major challenges are addressed 1 objects are closely located with each other 2 the planner can determine whic... | the paper proposes a framework for object rearrangement in clutter given a goal image using graphbased object sequencing action selection pushing or grasping and a placement module the reviews are mixed and the current rating of the paper is weak reject strong accept weak accept weak reject reviewers agree that the obj... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds a novel indoor perception dataset on radience fields motivated by the recent advances of nerf overall this is an interesting and novel contribution since it exhibits a notable memory compr... | authors propose a novel largescale implicit representation dataset for perception tasks called the perfception dataset which consists of two parts that incorporate both objectcentric and scenecentric scans for classification and segmentation the dataset obtains significant memory compression rate while containing both ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes and studies the model completion problem given a trained network and the data on which is was trained if a subset of the network is reinitialized from scratch how many retraining iterati... | as all the reviewers have highlighted there is some interesting analysis in this paper on understanding which models can be easier to complete the experiments are quite thorough and seem reproducible however the biggest limitationand the ones that is making it harder for the reviewers to come to a consensusis the fact ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of learning tractable probabilistic models tpms and presents a gradientbased method for learning a tpm from local possibly inconsistent estimates specifically a tpm is first ... | this submission did not reach a full agreement among pc members i will not repeat the arguments here as they can be read in the reviews please see eg review wy8e which according to the authors captures well their intention the main open criticism is the lack of a real application where the type of assumption used in th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the article proposes to tune an hmc sampler by maximising eparamlog targetxt over the parameters of the hmc sampler furthermore the article studies the influence of the initial distribution while ... | this paper proposes a tuning strategy for hamiltonian monte carlo hmc the proposed algorithm optimizes a modified variational objective over the t step distribution of an hmc chain the proposed scheme is evaluated experimentally all of the reviewers agreed that this is an important problem and that the proposed method... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper focuses on gradient projection gp for incremental learning the authors motivate their work by stating that while approaches based on gp lead to superior performance in overcoming catastrop... | the submission addresses the problem of whether or not to update weights for a previous task in continual learning the approach is to specify a trust region based on task similarity and update weights only in the direction of the tasks that are similar enough to the current one the paper was on the balance well recei... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a polar coordinate systembased data augmentation approach polarmix for scanning lidar point cloud understanding polarmix generates augmented data by mixing two different scans with scene... | the proposed augmentation method for lidar scans is to crop cut and mix two 3d scans at both scenelevel and instancelevel the approach is not novel and a simple extension of the idea of the mix of 3d scenes and rotating bounding boxes another limitation is that the method cannot be applied to general 3d scenes the revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new attention mechanism in vision transformers which is called quadtree attention this quadtree attention mechanism builds token pyramids and computes the attention in a coarsetofine m... | the paper proposes an efficient attention variant inspired by quadtrees for use in vision transformers when applied to several vision tasks the approach leads to better results andor less compute the reviews are all positive about the paper after taking into account the authors feedback one reviewer forgot to update ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors targeted an important data format multivariate time series and extended the usage of the transformer to this format the effort is appreciated as multivariate time series data is an important pro... | the authors extends the transformer to multivariate time series the proposed extension is simple and lacks novelty some design decisions of the proposed method should be better justified similar works that also use the transformer for timeseries are not compared experimental results are not convincing the settings are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a method to disentangle epistemic from aleatoric uncertainty for avoiding the noisy tv problem which occurs when intrinsically motivated agents get rewarded for visiting states that have ... | authors present a method to disentangle epistemic from aleatoric uncertainty for avoiding the noisy tv problem during selfdriven exploration this is an important area where we need more ideas and experiments the authors present a biologically inspired approach and through experiments although it doesnt present the stat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes spiking neural networks snns as an efficient neuromorphic alternative to dilated temporal convolutions based on the wavenet architecture for keyword spotting the main idea is to model th... | the authors propose in this manuscript to use spiking neural networks snns as an efficient alternative to dilated temporal convolutions they propose to utilize the membrane time constant of neurons instead of synaptic delays for memory efficiency training such networks with bptt achieves better performance than other s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles the problem of modeling multiagent systems that contain a high degree of interaction between agents to model such systems this work proposes interaction modeling with multiplex attention i... | the reviewers agreed this paper was presented well and a valuable contribution we urge the authors to take the reviewers comments into account in the final version also please increase the size of the tables the font size is quite small maybe too small |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a first person videotext pretraining dataset called egoclip comprising 38m cliptext pairs chosen from ego4d ego4d is a largescale dataset comprising first person videos from a large var... | for egocentric videolanguage pretraining this paper creates a 1stperson videotext pretraining dataset proposes a new contrastive loss egonce and builds a new benchmark egomcq although the contribution of this work is somewhat incremental its motivation experimentation and organization are good besides all reviewers ag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper curates data from longitudinal mobile and wearable sensors over multiple years the dataset contains additional information on physical health depression etc the paper also demonstrates how the dat... | globem is a multiyear human behaviour sensing dataset captured from mobile and wearable devices this is a highly impactful dataset that will benefit several research domains including machine learning hci and ubiquitous computing affective computing and mental health research the reviewers largely agree on the strong c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose the thinned generalized gamma process tggp for generating sparse graphs with mixedmembership block structure it builds upon the ggpbased model of caron and fox 12 and recent extensions t... | the authors present a framework for thinning edges from from random graph realizations from the generalized gamma process ggp to generate sparse graphs with mixed community memberships the authors provide an efficient monte carlo methods that scale subquadratically with the number of nodes there are concerns about scal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well organized with a clear idea of the proposed method and good related work descriptions overall the descriptions are clear and easy to follow but the experimental results need clarifying r... | this paper proposes an image to image translation technique which decomposes into style and content transfer using a semantic consistency loss to encourage corresponding semantics using feature masks before and after translation performance is evaluated on a set of mnist variants as well as from simulated to real world... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
nonparametric estimation of conditional moment models in high dimensions has been widely and well studied in the literature in recent years many works have been dedicated to establishing the large sample pr... | the paper is concerned with nonparametric estimation and focuses on explaining why nonparametric estimation happen to work well even in high dimensions it shows that the estimation and asymptotic normality results only depend on the intrinsic dimension of the data the proposed approach is based on a subsampled ensemb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates how to use selfsupervised learning for multistage visual transformer models previous works have shown that ssl can learn image correspondences and lead to performant pretrained models... | this paper proposes two techniques for improving selfsupervised learning with a vision transformer the first improvement is using a multistage vit which is very similar to swin transformer and authors recognized this is not a major contribution the authors further found that using a multistage vit does not produce disc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work identifies factors in the scalability of gnn based solution methods for relational mdps and develops methods to utilize them the main focus is in state variables that no actions change but that sti... | meta review the reviewers agreed that this paper makes a valuable contribution there are many suggestions in the reviews and your response that should be taken into account when revising this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks good enough to be accepted that said the clarity should be improved please reword and be more specific when presenting definitions if we do not only observe the rewards but also some addi... | this paper proposes a causal bandit algorithm that does not assume prior knowledge about the causal structure and efficiently estimates the causal effect using a separating set between intervention and reward among different arms the simulation results show that the proposed algorithm outperforms causal bandit approach... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses monotonic neural networks to estimate the energy consumption of chilling plants this can be used to save energy by using the neural network in modelbased optimization on the positive side th... | thank you for your submission to iclr the reviewers unanimously felt that there were substantial issues with this work owing to the fact that both the techniques and applications have been considered in a great deal of previous work furthermore the manuscript itself needs substantial amounts of revision before being ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary a clear an interresting presentation on learning sequences distributions it achieve this objective by replacing the discriminator with a mediator a mixture between the training distribution and the ... | the paper proposes an original and interesting alternative to gans for optimizing a proxy to jensenshannon divergence for discrete sequence data experimental results seem promising official reviewers were largely positive based on originality and results however as it currently stands the paper still makes false claims... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide finite sample lp rate guarantees for q function estimation via minimax objectives unlike prior work they manage to prove guarantees with only realizability assumptions prior works obtain... | the authors provide slow rates for qfunction estimation based on minimax objectives the contribution is technically solid but seems somewhat incremental and even though the authors provided responses to all major reviewer concerns there is still concern by reviewers of the applicability of their result and the incremen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a concatenation approach to combine multiple social media texts through a stacked embedding layer and demonstrates its effect in depression prediction based on text the motivation and the... | this paper tackles a very important problem of detecting depression on twitter as the reviewers expressed in their reviews this paper will be of interest for the community of researchers applying ml models to mental health domain it is unfortunate that the authors did not respond to the reviewers concerns and questions... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i find the revised version of the paper much clearer and streamlined than the originally submitted one and am mostly content with the authors reply to my comments however i still think the the work ... | this paper proposes a criterion for representation learning minimum necessary information which states that for a task defined by some joint probability distribution pxy and the goal of for example predicting y from x a learned representation of x denoted z should satisfy the equality ixy ixz iyz the authors then pro... |
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