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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a parametric form for a matrix representation of a graph to be used as a building block within graph neural networks gnns in essence people use different normalized versions of ... | summary the authors observe that a range of laplaciantype operators used in graph neural networks can be embedded in a parametric family so that the precise form of the laplacian used can be determined by the learning process empirical evaluation and some limited theoretical analysis are provided discussion the autho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a survey on 15 datasets related to us criminal justice it describes the us justice pipeline in a flowchart and sorts the datasets with according to it the authors propose a datasheet for each ... | the paper introduces a set of criminal justice datasets to the machine learning community surveying 30 datasets and creating datasheets for 15 of them reviewers appreciated that the paper raises awareness of these datasets in the ml community and the documentation work that the authors have contributed there were two m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
knowledge distillation kd is to improve a lowcapacity student networks performance with a highcapacity teacher network current works focus on how to define kd loss this work proposes to improve kd from data... | after a lively and interactive author discussion period all reviewers ended up recommending to accept this paper the work examines the ways in which different data augmentation schemes can increase knowledge distillation performance providing some theoretical analysis with actionable insights and experiments to back it... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new sequential recommendation model with behavior pathways effectively capturing specific evolving item patterns for each user the pathway attention using learned binary routes can eff... | this paper presents recommender transformer retr with a pathway attention mechanism that can dynamically zeroingout the interactions eg the trivialnoisy ones in transformerbased sequential recommender systems extensive experimental results demonstrate the effectiveness of the proposed architecture overall this paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes to prune vit from all components comprehensively which considers the interactions between different components in pruning vits different from the homogeneous components of cnn the compone... | the paper received three positive reviews and one negative review the raised issues contain technical correctness imagenet22k pertaining insufficient experiments and speedup on gpus computational cost clarity on ablation studies during the rebuttal and discussion phases most of the issues are addressed and reviewers ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
these are several concerns 1 in the view of motivation i dont think the motivation is strong enough and is convincing also i dont think rewarding correct predictions but not penalizing incorrect ones is a r... | this submission got 1 reject and 3 marginally below the threshold the concerns in the original reviews include 1 lack of theoretical justification the motivation and claim are from empirical observation 2 the performance improvement is minor compared with the existing methods 3 some experiment settings and details are ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a glipv2 model trained on visionlanguage grounding where localization and visionlanguage understanding tasks are reframed through the lens of grounding to have a unified model additional... | all three reviewers provided positive reviews and scores for this paper they were happy to see the strong empirical evaluations and improvements over glip impressed by the zero shot results and found the new combination of pretraining objectives interesting a few questions and concerns were brought up by reviewers that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to learn neural environment models they term synthetic environments such that planning in the model with modelfree rl results in good performance in the real environment the authors stud... | this paper proposes a new method for generating synthetic environments and reward networks for reinforcement learning tasks this happens as a nested process policies are learned in an inner loop and environments are evolved in an outer loop the environment representation is quite simple the parameters of an mdp similar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a data set of srh images from a number of types of brain tumors as well as control tissue it also provides several benchmarks for accuracy of classification of these images at the indivi... | there are contrasting review rating ranging from 9 to 3 the reasonable concerns about this paper not been well validated for ml community the proposed datasets has been benchmarked with some classical and some relevant dl methods i have taken into account the expertise of reviewers and their concerns carefully i do agr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the longterm occlusion problem in multiobject tracking and proposes to using trajectory forecasting methods to compensate the tracking losts the forecasting module is conducted in birdey... | the paper initially had mixed reviews 4567 the main concerns of the reviewers were 1 can better show the improvement on longterm occlusions cbmw 2 lack of results on autonomous driving datasets w camera parameters cbmw 3 questions about the evaluation metrics used yuje tgjz 4 in tab 1 most of the hota gain comes from l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of fairwashing detection in blackbox models to be specific fairwashing is a technique used to fool model explanation methods to produce deceptive outputs for unfair models ... | the reviewers were split about this paper on one hand they appreciated the motivation and the comprehensive experiments in the paper on the other they were concerned about the clarity of the paper even worried about a potential flaw i have decided to vote to accept given the clear and convincing author response i urge ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce prospect a database for proteomics research based on a massive collection of lcmsms datasets already available from the proteometools project the paper is well written and the package ... | reviews were split reviewers agreed on the importance of the domain but differed in how they valued the contribution over proteometools which the dataset builds upon a primary concern was lack of baselinesbenchmarking the rebuttal argues that baselines would not add much value since strong methods have been published i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript contributes a neural architecture to classify arrhythmia type from ecg data the signal treated as 1d and the architecture performs joint segmentationclassification detecting the abnormal bea... | this paper received 4 reviews with mixed initial ratings 5 6 4 4 the main concerns of r1 r4 and r2 who gave unfavorable scores included insufficient evaluation lack of experiments on public datasets small sample size an adhoc nature and overall limited novelty of the method a number of issues with the presentation in r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of multitask offline rl and propose 2 methods bail and mbail each is an algorithmic variant based on the bail algorithm the overall goal is to improve performance on multiple ... | the main identified issues were the limited contribution and use cases poor writing and missing baseline comparisons and more needed experiments these issues were not addressed satisfactorily by the rebuttal and hence i believe the paper should be revised by the authors and undergo another review process at another con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this submission proposes a training objective for learning invariant representations under spurious correlated data settings especially when the nuisance data is missing main review the methodolog... | following existing work by veitch et al the paper considers the problem of learning from observed data x1 y1 z1 xn yn zn a predictor fx for a variable y while enforcing at least to a certain degree that fx independent z y the papers main contribution is in dealing with a situation where some of the zis are missing by... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper study the problem of 6d pose estimation it adopts a coarserefine approach where it first predicts a coarse pose hypothesis and use a refiner based rendercompare to refine the pose it can be appli... | main strengths 1 the problem setting investigated target cad model given during test time only seems relevant to practical robotics applications 2 the proposed method binary classfier to select best coarse pose as initialisation renderandcompare to refine pose appears to be sensible 3 results are comprehensive and over... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new approach to regression via classification problem utilizing a hybrid model between a neural network and a decision tree the paper is very well written and easy to follow it present... | while the idea of revisiting regressionviaclassification is interesting the reviewers all agree that the paper lacks a proper motivating story for why this perspective is important furthermore the baselines are weak and there is additional relevant work that should be considered and discussed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper targets richer and higherquality generation with vae two techniques are adopted to achieve the goal 1 bijective model to enrich data generation with flexible prior 2 presenting compressed variant... | reviewers appreciated the model and the ideas presented and found them very interesting the main reason for rejection is the extent of the empirical work unfortunately and i think what is a bad sign for the iclr community the authors could not do adequate empirical work due to their computational resources not belon... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update the authors have addressed many of my comments below as such i am increasing my score highlevel view im slightly negative on this paper the ideas within it seem novel to me but the experimental ex... | four expert reviewers after much discussion in which the authors seemed to do a pretty good job addressing a lot of the initial complaints unanimously voted to accept this paper everyone seemed to agree that the idea was interesting and it is indeed interesting there were generally complaints about benchmarking there... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes to reformulate the qa task in squad as a retrieval task ie using question as query and paragraphs as candidate results to be ranked authors makes some modifications to elmo mod... | i have to agree with the reviewers here and unfortunately recommend a rejection the methodology and task are not clear authors have reformulated qa in squad as as ranking and never compared the results of the proposed model with other qa systems if authors want to solve a pure ranking problem why they do not compare t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a method for learning network architectures for regression tasks the focus is on learning interpretable representations of networks by enforcing a concise structure made from sim... | the reviewers all feel that the paper should be accepted to the conference the main strengths that they noted were the quality of writing the wide applicability of the proposed method and the strength of the empirical evaluation its nice to see experiments across a large number of problems 100 with corresponding code... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a privacy framework where a privatizer according to the utility and secret specified by users provides a sanitized version of the user data which lies in the same space as the original d... | this paper addresses data sanitization using a kldivergencebased notion of privacy while an interesting goal the use of averagecase as opposed to worstcase privacy misses the point of privacy guarantees which must protect all individuals otherwise individuals with truly anomalous private values may be the only ones who... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a metalearning approach in hamiltonian neural networks to find the structure of the hamiltonian that can be adapted quickly to a new instance of a physical system the contribution is n... | this paper proposes a metalearning approach for inferring the hamiltonian governing the dynamics of physical systems from observational data and using it to adapt to new systems from the same class of dynamics quickly the paper does this by effectively combining the previously published hamiltonian neural networks and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents new training schemes and experiments for a matrixmultiplicative variant of cbow this variant is called a cmsm yessenalina and cardie 2011 asaadi and rudolph 2017 which swaps the bag of ve... | this paper presents cmowan unsupervised sentence representation learning method that treats sentences as the product of their word matrices this method is not entirely novel as the authors acknowledge but it has not been successfully applied to downstream tasks before this paper presents methods for successfully traini... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
review of iclr paper 1928 group equivariant generative adversarial networks this manuscript addresses the problem of artificially generating images for which the label should be unaffected by certain sy... | this paper use group convolutional neural networks in both generators and discriminator of gans and demonstrates advantages of this approach when training with a relatively small sample size while the novelty is limited in the work as it simply applies gcnn for gans i believe this application is interesting and the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong points 1 this paper is smooth and wellmotivated label smoothing is a wellknown trick to improve the multiclass neural network this is the first work to theoretically understand the effect of label sm... | the paper considers ways to understand label smoothing methods which are widely used in many applications there is some theory on the performance of sgd with and without the methods of the paper but there is s significant gap in terms of how the theory offers insight into label smoothing there are some empirical resu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to formulate the neural network architecture as a collection of multivariate categorical distributions they further derive samplebased gradient estimators for both the stochastic archite... | the paper presents an architecture search method which jointly optimises the architecture and its weights as noted by reviewers the method is very close to shirakawa et al with the main innovation being the use of categorical distributions to model the architecture this is a minor innovation and while the results are p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors use evolutionary strategies to train recurrent neural networks with hebbian plasticity rules they test the system on two tasks sequence prediction and a simple rl tasks that involve... | in this paper the authors demonstrate the use of metalearning in plastic recurrent neural networks with an evolutionary approach avoiding gradients they show that this approach can be used to develop networks that can solve problems like sequence prediction and simple navigation the reviews for this paper all had scor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents an improved version of qtran 1 the design is based on new loss function design as well as new actionvalue estimator designs the paper claims superior perfromance gains compared ... | this paper proposes practical improvements to theoretically well founded qtran which is a stateoftheart technique of cooperative multiagent reinforcement learning the improvements include new designs of loss function and actionvalue estimator which might be widely applicable beyond qtran however it is not obvious if ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes an adversarial training approach that in addition to the commonly used robustness loss requires the network to extract similar representation distributions for clean and attacked data th... | the paper describes an adversarial training approach that in addition to the commonly used robustness loss requires the network to extract similar representation distributions for clean and attacked data the proposed method is inspired by domain adaptation approaches that require a model to extract domain invariantagno... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors developed a method and training procedure for manifold clustering problems the proposed solution inspired from information theoretic methods namely maximum rate reduction authors also support their ... | the paper received a majority voting of rejection although the author response successfully convinced one reviewer to increase hisher score from 5 to 6 i have read all the materials of this paper including manuscript appendix comments and response based on collected information from all reviewers and my personal judgem... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the new setting is potentially very useful since the computation cost of retraining a big model is big and how to reuse these published big models is an interesting problem 2 the results are better than... | meta review dfl2l meta learns from pretraining models of multiple tasks without using their data and labels all reviewers think that the ideas in this paper are novel and meaningful the setting is different from and more challenging than the general meta learning setting existing works pay little attention to this sett... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper the authors study stable architectures for rnns on the theoretical side the authors present a series of conditions such that a weight matrix of an rnn is contractive on the modeling side the au... | in the context of recurrent neural networks the motivation of the paper is to explore the space between fully trained models and almost not trained models eg echo state networks using a formal approach in fact a modular approach has proven to be very successful in many practical applications and in addition brain seems... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper augments the css and ova loss functions used for learning to defer such that they no longer underfit the base model particularly in problems with many possible labels this is done through t... | this paper proposed a novel framework for learning to defer l2d which decides when to defer the decision on an instance to an expert based on an estimate of the experts cost the key results include identifying the failure mode of existing l2d approaches a novel postdoc estimation procedure for model calibration and tho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work is progressing towards solving the universal domain adaptation unida problem where we dont assume any prior knowledge about the target classes the proposed algorithm named uniot utilizes optimal t... | this work tackles universal domain adaptation a challenging problem that is usually encountered in real practice the proposed uniot algorithm utilizes optimal transport to enable common class detection and private class discovery it is interesting to see that ot can be extended to simultaneously solve these two problem... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper addresses a problem of modelagnostic metalearning maml and most of its variationsextensions learning only a single parameter initialization for the entire task distribution which ... | the paper proposes a metagradient boosting framework to tackle the modelagnostic metalearning problem the idea is to use a base learn that learns shared information across tasks and gradient boosted modules to capture taskspecific modules the experiments show that the proposed metagradient boosting framework with 5 gra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly experimented on go it leverages fast approximate nearest neighbor techniques in order to retrieve relevant data from a set of tens of millions of expert demonstration states this informati... | this paper uses nearest neighbor methods to retrieve and exploit information from similar games during planning whilst playing the game of go although the method is extensible to other environments which support muzerostyle agents the reviewers found this approach interesting and ultimately worth publishing although th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the benchmark provides the first two datasets to examine multimodal robustness in videotext settings through algorithmic perturbations to youcook2 and msrvtt the work offers a lens to understand how both te... | this paper proposes new benchmarks for probing videotext models robustness that include a multitude of visualtextual perturbations all of the reviewers have acknowledged the usefulness and effort put into the benchmark construction and presented analysis some of their concerns centered around lacking metric definitions... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed the first publically available largescale dataset of imagetext pairs it consists of 58 billion pairs in total and the authors successfully reproduced the clip models of different sizes u... | the reviewers agree that this dataset represents a huge undertaking that offers potential opportunities for various applications the paper also provides insightful experiments across a series of use cases models and tasks several reviewers also noted the potential risks of the dataset and the potential for misuse alth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a hierarchical iterated reasoning scheme for learning policies conditioned on the other agents policies at that stage maximizing both the mutual information between agent policies and ... | the paper proposes a method for decentralized learning of cooperative games by maximizing the mutual information between the agents the paper is novel and interesting and well evaluated prior to the rebuttal most of the reviewers saw presentation as the biggest weakness specifically it was not clear what infopg refers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new spectral normalization technique that improves the crosslingual mapping of monolingual embeddings by rigid orthogonal transformations this is demonstrated by consistent gains on bil... | the authors propose a normalization method for crosslingual text representations the goal is to normalize the monolingual embeddings based on spectral normalization the study shows that produced text representations keep their meaning and improve performance on downstream tasks there is a disagreement among the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a model to improve semantic segmentation by using a limited amount of pixellabeled data and unlabeled data or imagelevel labeled data the authors use a selfattention gradcam s... | the authors introduce an approach for designing pseudolabels in semisupervised segmentation the approach combines the idea a refining pseudolabels with selfattention gradcam sgc and a calibrated prediction fusion and consistency training by enforcing pseudo labels to be robust to stronglyaugmented data the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a practically feasible algorithm for the average reward setting in rl the key idea is to propose a lower bound policy improvement objective for the average reward setting compared to the... | this paper proposes an extension of the monotonic policy improvement approach to the average reward case although the reviewers acknowledge that this work has merits well written clearly organized wellmotivated technically sound the reviewers have raised several concerns which have been only partially addressed by the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors of this paper make a connection between the tderror from a single unit of experience and various metrics of improvement for agents trained with prioritized experience replay and qlearnin... | this paper is certainly on the way to be a solid contribution its an interesting research question and we need more understanding papers rather than yet another algorithmic trick paper the reviewers thought the paper was not yet ready the reviewers suggested 1 more motivation of why the proposed metrics were of intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses the effect of increasing the widths in deep neural networks on the convergence of optimization to this end the paper focuses on rnns and applications to nlp and speech recognition and d... | this paper studies the behavior of training of over parametrized models all the reviewers agree that the questions studied in this paper are important however the experiments in the paper are fairly preliminary and the paper does not offer any answers to the questions it studies further the writing is very loose and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on federated learning on noniid features this is a crucial problem when applying federated learning the authors propose a new federated learning scheme called adcol adversarial collaborat... | this manuscript proposes an adversarial method to address noniid heterogeneity on federated learning distinct from existing methods the mitigation is implemented by training and local communicating learned representations so the metric of success is indistinguishability of representations across devices there are fou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a gradientbased moo algorithm with adaptive reference vectors the core idea is to view it as a bilevel optimization problem then the authors proposed an interactive solution for this bil... | the paper tackles the multiobjective optimization moo problem using adaptive reference vectorsrvs the authors claim two main contributions 1 the use of adaptive reference vectors rvs instead of fixed ones as in existing gradientbased moo algorithms 2 rv adaptation is based on the gradient of the quality function it i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposed a novel benchmark for relation extraction from very long documents and a new method knowfi to deal with the problem the dataset is constructed from wikia containing long fiction... | this paper proposes a method for knowledge extraction from long documents and evaluates it on a new dataset constructed for this purpose all reviewers found the method novel and the details added about the dataset and the model were appreciated thus i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this paper analysis the weaknesses of current hmc benchmarks the statistical and structural properties not adequately represent the problem space and can confound performance analysis among competing meth... | this paper proposed a benchmark for hierarchical and ontological multilabel classification most reviewers find that the paper is interesting and reveals some important shortcomings of the existing multilabel classification datasets during the rebuttal period the authors response addressed most concerns raised by review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an effective approach to the problem of fewshot gan learning by leveraging the frequency information from the generated images specifically the author designs a model fregan which integra... | the majority of reviewers voted for accept and we had a 7 among the mix which i think cancels out the 4 this paper proposes using a wavelet method to bias the gan towards generating the proper frequency distribution which helps especially in the lowdata regime overall i think lowdata data modeling is important and alth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a more generalized form of certified robustness and attempts to provide new results on applying randomized smoothing to semantic transformations such as different types of blurs or disto... | this paper proposes a more generalized form of certified robustness and attempts to provide new results on applying randomized smoothing to semantic transformations such as different types of blurs or distortions the main idea is to use an imagetoimage neural network to approximate semantic transformations and then cer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds on recent advances in deep learning for physical simulation to reduce the computational complexity of learned surrogate models by avoiding local evolution instead of updating the values at... | the paper presents a new method for accelerating the simulation and inverse optimization of partial differential equations pdes of largescale systems the proposed approach learns the evolution of dynamics in a global latent space ie with fixed dimensionality the reviewers agree the proposed approach is novel and empiri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a tensor formulation as a unified framework for studying different architectures of neural networks this formulation is mainly used under the special case of linear networks with orthogon... | this paper suggests an extension of previous implicit bias results on linear networks to a tensor formulation and arguably weakens some of the assumptions of previous works eg loss going to zero is replaced with initialization assumptions the reviewers were all positive about this work saying it is clearly written and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for statically learning code invariants from source code using a variant of transformers strengths the paper demonstrates that on the synthetic dataset the proposed approach c... | the paper gives a way of constructing a dataset of programs aligned with invariants that the programs satisfy at runtime and training a model to predict invariants for a given program while the overall idea behind the paper is reasonable the execution in particular the experimental evaluation is problematic as a resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes two new gnn rewiring layer motivated by a bound from lovsz bounding the difference between the commute times between any two nodes and a term given through their degrees by the s... | we discussed this among the pcs and agree with the ac assessment we encourage authors to take the comments into accountin particular those pertaining to accessibility and framing in terms of related work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the video and text retrieval task as the clipvideo contains rich information in a sequence of frames while the text contains limited information about one clipvideo there is a semantic gap... | for the one video vs multiple descriptions issue in videotext retrieval this paper presents a textadaptive multiple visual prototype matching model which could adaptively find the suitable visual prototype for an arbitrary textual description and comprehensive evaluation results were conducted the rebuttal successfully... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper explores different metrics to measure the selectivity of single neurons for a class in deep neural networks using alexnet as the model under study the paper shows strengths and weakness... | the paper examined the folkknowledge that there are highly selective units in popular cnn architectures and performed a detailed analysis of recent measures of unit selectivity as well as introducing a novel one the finding that units are not extremely selective in cnns was intriguing to some not all reviewers further ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is a theoretical analysis of domain randomization in the context of latent mdps the paper provides bounds on a definition of the simtoreal gap defined as the difference between the optimal value f... | this manuscript introduces a theoretical framework to analyze the sim2real transfer gap of policies learned via domain randomization algorithms this work focusses on understanding the success of existing domain randomization algorithms through providing a theoretical analysis the theoretical sim2real gap analysis requi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use contrastive distillation to train a binary network by maximizing the mutual information between itself student network and the fullprecision network teacher network empirical resu... | description the paper applies ideas from contrastive representation learning to train binary neural networks namely the algorithm promotes binary representations to be similar to the fullprecision representations while at the same time it promotes binary representations to be dissimilar from fullprecision representat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper is studying the problem of learning to interpret manuals textual information about the task with the goal of faster learning and generalization in rl unlike recent prior work narasimhan... | like the reviewers i find this paper extremely borderline on the one hand it is clearly written about a topic i find fascinating and generally well motivated if not shockingly novel ie removing some of the simplifying assumptions from zhong et al 2020 eg requiring grounding to be learned use of real language rather tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros this is an interesting approach of assigning contribution weights to each source sample could be very helpful for tasks where we have a noisy and a small clean dataset the method seems to be perform... | the paper proposes an approach for transfer learning by assigning weights to source samples and learning these jointly with the network parameters reviewers had a few concerns about experiments some of which have been addressed by the authors the proposed approach is simple which is a positive but it is not evaluated o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the attention free transformer aft an alternative to multihead attention mha operation in transformer while the motivation of the authors is to replace mha with more costefficient oper... | the new non linearity proposed in this paper present interesting observations and improvements on image and text datasets however reviewers point out that there shouldve been more comparisons to other efficient transformers and on more datasets the speed improvements are also not clear id encourage the authors to revis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach for global localization of an object from tactile sensing and noisy pose of the tactile sensor in the global frame similar to odometry in slam the paper sets up this problem i... | the paper presents a tactile perception system with real digit sensors to estimate relative sensorobject pose of known 3d objects with object models reviewers agree that the proposed approach is interesting limitations are well articulated and that the dataset will be a valuable contribution to the community reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides empirical and theoretical evidence that valuebased methods that optimize td errors with sgd have an implicit regularizer that increases the dotproduct of the representation at successive... | the paper proposes an interesting hypothesis about deep nets generalization behavior inside rl methods it suggests that the nets implicit regularization favors a particular form of degeneracy in which there is excessive aliasing of stateaction pairs that tend to cooccur it proposes a new regularizer to mitigate this pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method that utilizes data augmentation for imagebased reinforcement learning the data augmentation is used to regularize the policy and function approximation in the proposed method in... | as of now automatic data augmentation methods have mostly been proposed for supervised learning tasks especially classification this paper introduces automatic data augmentation to deep imagebased reinforcement learning agents aiming to make the agents generalize better to new environments a new algorithm called datare... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros using rl to choose the simulator parameters is a good idea it does not sound too novel but at the same time i am not personally aware of this having been explored in the past note that my confidence i... | this paper discusses the promising idea of using rl for optimizing simulators parameters the theme of this paper was very well received by the reviewers initial concerns about insufficient experimentation were justified however the amendments done during the rebuttal period ameliorated this issue the authors argue th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper defines a fairness notion for a recommender system that is based on the independence of preference predictions to the user group and the item groups the paper defines a mutual informationbased mat... | this paper introduces a new unfairness metric for recommender systems based on mutual information and then develop an algorithm to account for this metric in matrix factorizationbased collaborative filtering the reviewers all agree that the proposed metric and algorithm are sound at a technical level however they have ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present to formulate pseudohealthy synthesis in a discretized way aimed at prosthesis shaping second the development of personalized aortic root prostheses could be used the usage of a set of p... | the paper receives unanimously positive comments from four experts who are both knowledgeable and independent it presents an unsupervised shape typification and type classification method for personalized prosthesis shaping the reviewers hail at the potential of the proposed approach for clinical translation earlier th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a 2d segmentation pipeline was proposed in the article with a reference module and a propagation module a method of how to choose pseudo labels was tested overall using 2d segmentation model plus vide... | please adjust the window width and level of ct images to 40 and 400 respectively in all figures reviewers raise many concerns and suggestions please address all comments in the revised manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper exploring neighborhood memorization problem and proposes a neighboraware data augmentation method for node classification task representation learning for node classification usually has classimb... | although reviews were initially a little polarized they trend toward accepting the paper after rebuttal and discussion the most negative review raised issues of datasets baselines and experiments and various details that they find confusing these concerns were not shared by the other reviewers for the most part follow... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a heuristic nonsafe screening rule to deal with l1regularized estimation problems such as linear regression and logistic regression the proposed method can be viewed as a generalization o... | this papers proposed a hessian screening rule for lasso and its generalized linear model extension for logistic regression the proposed screening rules have been demonstrated to be effective in both simulated and real datasets the idea is novel and the evaluation is convincing the authors mention that extensions to mcp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a differentiable datamodel cosearch framework autocog for gnns which formulates the problem as a bilevel optimization process and enables the endtoend discovery of graph structure and gn... | the authors propose a bilevel endtoend optimization process that encompasses both discovery of graph structure and gnn architecture initial concerns regarding closely related work missing baselines and lack of efficiency evaluation have been addressed no major concerns are left and all reviewers recommend acceptance du... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method to train graph neural networks more efficiently and hence make them amenable to largesized graphs the main idea is to use hash maps on the graph nodes more specifically the aut... | the authors propose the use of sketch gnn based on compressing relevant matrices and sketching typical gnn operations via hashing to enable better scaling of graph neural networks to very large graphs the reviewers are all in favor of accepting the paper with three accepts and one weak accept and therefore i recommend ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper motivates and provides a model to generate video frames and reconstructions from nonsequential data by encoding timecamera position into the model training the idea is to allow the model to interp... | this paper proposes a probabilistic model for data indexed by an observed parameter such as time in video frames or camera locations in 3d scenes which enables a global encoding of all available frames and is able to sample consistently at arbitrary indexes experiments are reported on several synthetic datasets revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses an important symmetry in metalearning namely the context data consists of a set of datapoints in arbitrary order the model should thus be permutation equivariant to their order at th... | this paper provides a natural combination of conditional neural processes with lieconv models it is a good step forward for stochastic processes with equivariances while there is still room to improve the experiments the authors provided a good response to reviewers and the paper is a nice contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article solves the decpomdp problem based on maac and qmix algorithms when the agents are homogeneous and optimized only through team rewards it is easy to learn similar policies for each agent this ma... | this paper introduces a method to increase diversityindividuality of agents in a marl setup based on intrinsic rewards coming from a classifier over behaviours reviewers tend to agree that this is an importantinteresting problem which is related to exploration a central problem in reinforcement learning several review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introdcues nasbench360 which evaluates different architectures and nas methods on in total 10 different tasks this evaluation shows that different nas methods which perform very well on computer ... | nasbench360 enables the evaluation of nas methods across a diverse set of tasks and domains and the authors experiments demonstrate that nas methods are not generally robust across all domaintasks the authors also make a strong argument that a nas benchmark should be a combination of a search space and a search algor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors contribute to the recent research on whether neural network training in particular sgd favors minimal representations in which irrelevant information is not represented by deeper layers they do ... | this paper proposes that we can understand the evolution of representations in deep neural networks during training using the concept of usable information this is effectively an indirect measure of how much information the network maintains about a given categorical variable y and the authors show that it is in fact a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides the novel approach for searching flow architectures compared to the standard approaches used to find the best deep architecture in standard network networks this problem is more challengi... | this paper proposes two methods to learn the architecture of normalizing flows models their framework is inspired by liu et al 2019 which uses ensemblesmixtures with learnable weights for architecture search the application of these ideas to nfs requires a trivial modification to respect the invertibility constraint wh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a normalization method for monocularbased depth estimation before computing the regression loss it is based on scaleandshift invariant loss instead of computing the median and doing the ... | this paper addresses the problem of training a monocular depth estimation network from variable sources of data as opposed to only using a single scaling factor as in existing work the authors propose local schemes for normalising while the proposed approaches are conceptually simple they result in a nontrivial boost i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the natural class of algorithms namely aggregators with gaussian noise for distributed sgd with differential privacy dp and byzantine resilience br previous results shows vn rightarrow b... | the paper considers the natural class of algorithms namely aggregators with gaussian noise for distributed sgd with differential privacy dp and byzantine resilience br previous results shows vnbr convergence of sgd the authors first show that aggregators with gaussian noise algorithms satisfy dp but violates vn necessa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the online risk minimization setting to reduce the memory cost and accelerate training this paper proposes a new sketching algorithm ie storm based on the locality sensitive hashing lsh... | the paper proposed a sketching algorithm for empirical risk minimization erm for linear regression and classification the technique is based on lsh with nonstandard hash functions the reviews indicate that the paper is well written and easy to follow however there are several concerns raised regarding its quality a maj... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a new perspective on the study of qvalue decomposition methods in the field of multiagent reinforcement learning in order to maintain decentralized execution while avoiding learning nons... | this paper revisits the notion of individual global max in multiagent reinforcement learning in particular considering how to address the fact that individual greedy actions may not be globally optimal in cooperative settings overall the general sentiment is that this is interesting work with a useful contribution but... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider encoding schemes for neural architecture search nas while current encodings model the data flow through the architecture operations by encoding each operation the current authors propo... | the paper proposes a new encoding scheme for neural architecture search all reviewers agreed that operations with different trainable parameters need different encodings the paper is clearly written and wellmotivated it will shed great light on future work to consider the trainable parameter for nas as suggested... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary and contributions the paper provides a novel approach to normalizing flows it models a normalizing flow as the gradient map of a convex potential function the gradient estimation and model inver... | the main contribution of the paper is a novel parametrization of normalizing flows using ideas from optimal transport theory this new parametrization allows viewing a normalizing flow as the gradient of a convex function which leads to an efficient method for gradient estimation for likelihood estimation using only acc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents dialograph which introduces graph structures to encode the relations of strategies and dialog acts among utterances in a dialog history this paper empirically demonstrated the e... | in the context of constructing negotiation dialogue strategiespolicies the authors explore the use of graph attention networks gats for determining the sequence of negotiation dialogue acts specifically leading to a 1 hierarchical dialogue encoder via pooled bert gru encoding 2 gat over dialogue strategiesacts many ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a dynamic pruning algorithm by combining multiple methods like early exit and a topk loss function the experimental results show a good performance over the vgg network whereas the perfo... | summary this paper presents a technique to reduce the worstcase latency of inference the key idea is to use a combination of early exit and filter selection to achieve its results the filter selection predicts the topk classes for the input and using that indication uses the filters that are the most relevant using ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a class of software called automatic propagation ap an extension of autodifferentiation software as well as a specific instance of it called proppo ap allows users to implement custom ... | as an ac of the paper i have read this paper and made the decision not only based on the reviewers reviews but also considering my own judgment as well unfortunately one reviewer could not provide a review with high confidence and the other two disagreed where reviewer kjqn was willing to nominate the paper for publica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework that adds extra layer normalizations and scaled residual layer to the normal gpt3 model empirical results demonstrate faster convergence speed and its robustness towards the ... | this submission proposes a few small changes to the preln transformer architecture that enable training with higher learning rates and therefore can result in faster convergence the changes include the addition of two layer norm operations as well as a learnable head scaling operation in multiheaded attention the propo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed and encoding model using large fmri datasets to predict the brain response to visual images in different regions of the ventral stream of the visual cortex they test the model with differ... | the authors leverage a large fmri dataset to fit hypothesisagnosticdatadriven encoding models to brain data as opposed to taskoptimized ones as done in most of the related work while there is general agreement that this is not a groundbreaking advance there is already similar work published the reviewers agreed that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to apply a simple adaptive dimensional reduction technique on trust region bayesian optimization turbo for high dimensional bayesian optimization task which has low effective dimensionali... | new activesubspaces type approach for high dimensional blackbox optimization that works with a family of nested subspaces of increasing dimensionality with some theoretical control over the failure risk overall well written and complete with convincing experiments that indicate better performance than popular approache... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the degeneration problem occurring in the twophase models for rationalization the authors identified that the learning speeds of predictor and generator are out of sync thus the predict... | there is consensus between reviewers that this is a worthwhile paper suitable for this venue i also apppreciate the extensive back and forths between the authors and the reviewers that seem to have improved the paper during the reviewing period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the autocast dataset was introduced a dataset for measuring the ability of neural networks to forecast future world events autocast poses a novel challenge for large language models and improved performance... | the paper presents a novel dataset on the task of judgmental forecasting autocast was collected by scraping questions from public forecasting tournaments accompanied by a news corpora corresponding to each question the reviewers agree that this is a high quality and novel dataset with diverse questions and tasks it has... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the term negative transfer is quite confusing especially when it is used together with the term domain adaptation in domain adaptation negative transfer means transferring knowledge from a source domain to ... | this paper proposes reducing so called negative transfer through adversarial feature learning the application of dann for this task is new however the problem setting and particular assumptions are not sufficiently justified as commented by the reviewers and acknowledged by the authors there is miscommunication about t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an extension of particle belief propagation which allows the factor parameters eg neural network weights for factors modeled as nns to be learned using standard stochastic gradien... | all reviewers concur that the paper has promise but fails to deliver on that promise the idea of learning potentials based on dnns is appreciated but the evaluation of the contribution is considered lacking by all reviewers in addition reviewers note that the training is not differentiable which the rebuttal acknowle... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces groupsort the motivation is to find a good way to impose lipschitz constraint to the learning of neural networks an easy approach is atomic construction which imposes a norm constraint... | this paper presents an interesting and theoretically motivated approach to imposing lipschitz constraints on functions learned by neural networks r2 and r3 found the idea interesting but r1 and r2 both point out several issues with the submitted version including some problems with the proofprobably fixableas well as a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper consider multilabel text classification problem and propose a cross attention transformer encoder to model the correlation between latent labels and input text sequence the hidden states of those... | this paper proposes an approach for multilabel text classification the method constitutes appending few label tokens to the beginning of the text input instead of the traditional single cls token the paper shows improvements over a competitive baseline on two datasets reviewers agree that the novelty and contribution ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this paper deals with an interesting problem the proposed idea is somewhat novel 2 the organizations are clear minor things 1 the presentation can be further improved 1 there exist some grammar errors ... | meta review the reviewers are all positive about this paper the proposed idea is somewhat novel and the paper is well presented one suggestion is to evaluate the proposed approach on more sophisticated datasets |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a domain generalization method the key idea is to remove domainspecific features by first training domainspecific classifiers for all domains then training encoderdecoder network that tra... | after the authorreviewer discussion reviewer 8k1l shows strong support for the paper and reviewer mbun finds most concerns addressed and upgrades the score to weak accept reviewer t9vv has some remaining concerns but does agree the proposed method seems working empirically after careful consideration ac recommends acce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to transfer knowledge from multiple diverse models first it learns pathway routes that activate a different set of models depending on input data later it aggregates the outputs ... | the submission introduces an approach called hubpathway to leverage a diverse collection of pretrained models for transfer learning hubpathway trains a pathway generator network to route examples to various models in a datadependent manner and aggregates the outputs to produce taskspecific predictions noise is added to... |
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