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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper identifies that traditional datasets used for learning disentangled representation have several shortcomings such as no correlation between variables and simple structure it proposes a n... | this paper introduces a new dataset for evaluating disentanglement and its impact on out of distribution generalization based on the trifinger robotics platform using this dataset the authors rigorously investigate the performance of betavaes in this setting under a number of conditions finding that weak supervision is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose comenet a new network for molecular property prediction with 3d information the authors define a new message passing way see equation 1 and a new network backbone figure 3 originality ... | this paper presents useful mp for molecular graphs with better completeness properties i encourage the authors to consider addressing the reviewers comments while preparing their revision in particular discuss relation to previous work such as painn dimenet clarify splits consider adding completeness address expositi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of training vaes which are robust to adversarial attacks it shows that learning disentangled representations improves the robustness of vae however this hurts the reconstruct... | this paper presents a hierarchical version of tcvae that promotes disentanglement in the latent space and improves the robustness of vaes over adversarial attacks without much degeneration on the quality of reconstructions the analysis on the relationship between disentanglement and adversarial robustness is valuable a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach for detecting moving objects from unlabelled point cloud sequences without any annotations the detected object traces are then used to produce point cloud features for downst... | the paper introduces a new method for learning feature representations from point cloud sequences and applying the learned feature representation to object detection in point clouds the method automatically segments moving objects from point cloud sequences and uses object trace detection and object detection as selfsu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a neural architecture that can 1 learn dynamics 2 find a lyapunov function and corresponding nonlinear stabilizer simulatenously using a satisfiability modulo theories smt solver is also... | the problem statement and the technical approach are interesting some concerns about the scalability of the approach remain however given the novelty of the approach i am recommending that the paper be accepted in spite of these concerns please make sure to incorporate the reviewers feedback into the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this work the authors first prove a deep model can benefit from augmented data when the data bias is small then they propose two methods namely augdrop that corrects and mixloss that correct... | this work presents a new theoretically motivated data augmentation technique reviewers agreed that the theory was interesting and has value however raised concerns regarding the experimental evaluation which was limited to the cifar datasets there was some discussion over whether or not a comparison with autoaugment wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method on prediction of frames in a video with the key contribution being that the target prediction is floating resolved by a minimum on the error of prediction the authors show the m... | the paper introduces a new and convincing method for video frame prediction by adding prediction uncertainty through vaes the results are convincing and the reviewers are convinced its unfortunate however that the method is only evaluated on simulated data letting it loose on real data would cement the results and m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new objective lsd for unsupervised skill discovery building on prior skill discovery work using mutual information criteria as in previous works skills are parameterized by a latent va... | the paper introduces unsupervised skill discovery using lipschitzconstrained skills it is wellwritten and demonstrates the advantages in a solid experimental section |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper first suggests that the bellmans optimality equation has multiple fixed points then a analogy is made between mdp and qunatum kspin ising model and a reformulation of expected return into quantum ... | the paper proposes to add a regularisation term h to rl algorithms in order to work around issues caused by the multiple fixed points of the bellmans optimality equation the added h term is inspired by quantum field theory specifically the kspin ising model all reviewers thought this was an interesting idea but by the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers inverse rl irl in a distributed setup with multiple experts demonstrating for multiple learners and includes constraints areas of the state space that are not allowed the general model ... | the paper produces one of the first analysis of distributed inverse reinforcement learning which is formulated as a bilevel optimization problem the paper initiates a new line of research contains a good mix of theoretical and empirical results and has received relatively high scores from reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem this paper considers the effect of label noise on stochastic gradient descent the setup is that there is a vector v in rd we observe samples from v2cdot x we only have n d samples but v is rspars... | the paper shows that for a simple nonlinear quadratically parametrized linear model stochastic gradient descent sgd with a certain label noise and learning rate schedule recovers the data generating model in contrast gradient descent with or without gaussian noise fails while the results are novel and interesting they ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article proposes a weak supervision technique for structured prediction with labels taking values in finite metric spaces and constantcurvature riemannian manifolds and assuming an exponentialfamilybas... | the paper gives theoretical guarantees for weak supervision for more general problems than binary classification the reviewers were all positive about this work and felt this paper introduces new techniques to this space that may be useful for other problems as well |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 using gnns as a graph generator in nas is novel 2 the proposed model is well explained and illustrated 3 the proposed model is capable of generating wellperforming neural architectures in the two datas... | meta review the paper proposes a graph neural networkbased framework for generating neural network architectures in an adversarial fashion all reviewers appreciate the novelty and simplicity reviewers 1 2 suggest more comparisons with other nas methods in all the metareviewer considers the pros to outweigh the cons an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the merit of the paper lies in the effort of deriving bounds on cof ratio and the corresponding tightness analysis as well as an algorithm to derive alphafair pricing policy for the monopoly market there ar... | meta review the paper proposes a new notion of individual fairness in personalized pricing setting generally the reviewers consider the theoretical contribution of this work sound and interesting and the authors have provided several clarifications of the relation between this work and some prior literature the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
following a pacbayes compressionbased approach to generalization bounds developed in prior work the paper leverages improved compression procedures to derive tight bounds for the compressed models both in s... | after reading the submission and reviews my understanding is that this submission combines the compression approach of zhou et al with pacbayes theory to obtain tight generalization bounds while the approach is a mere combination of preexisting approach the insight that led to this method provides compelling results fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a method called amortized mixing coupling processes for clustering amcp acmp learns the relationship between samples and reference distribution with intracluster mixing int... | in this paper the authors propose a novel amortized clustering method in which intracluster mixing and intercluster coupling are introduced the optimal transport is used to learn the relationship between samles and reference distribution with intracluster mixing the intercluster coupling assign samples to clusters and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first demonstrates that the model shiftsthe difference between the updated model and the model before updatinghinder the monotonic improvement of modelbased rl to tackle this problem the paper pr... | this paper studies the relation between model shift and the performance of modelbased reinforcement learning the paper proposes a new algorithm that leads to empirical improvement over certain data sets all the reviewers agree that the paper provides useful theoretical insights into modelbased reinforcement learning an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a darts variant named zarts which replace the firstorder and secondorder approximations with zeroorder approximations experiments on various datasets are conducted to show the superiorit... | this paper aims to solve the instability issues of differentiable architecture search darts using zeroorder optimization three different optimization techniques are proposed and their efficacy is demonstrated successfully on several benchmark datasets and different variants of darts although there are some concerns reg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the goal of training classifiers that achieve strong worstcase performance across groups with different spurious features without assuming access to supervision based on the spurious fe... | the paper worked on an important problem robustness concerning spurious correlations and proposed a useful method achieving sota worstgroup performance without the true group labels however the motivation part is weak so that it is unclear why to go from the theoreticalempirical observations to the proposed method more... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work explores statisticalcomputational gaps in the problem of obtaining nontrivial correlation sometimes referred to as weak recovery with the cluster labels of a balanced mixture of isotropic gaussian... | the reviewers appreciate the solid theoretical results concerning statisticalcomputational tradeoff in subspace clustering the exact asymptotics and clear presentation make the paper stand out therefore i recommend acceptance meanwhile please carefully revise the paper according to the reviews to highlight its strength... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed model and results look interesting for community although they are not described clear enoughdocsepthe concept makes sense to me and is communicated well in the paper it is difficult for me to ... | the paper is on topic for this workshop and the reviewers were moderately positive we have therefore accepted this paper to the workshop please take into account the reviewers suggestions when submitting the camera ready version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for fair clustering where a clustering is considered fair when each protected group is present in every cluster in the same proportion as in the population using deep neural net... | this paper received a majority voting of rejection in the internal discussion no reviewer would like to change the score according to the author response 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 judg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with the problem of modeling human preferences in a setting where they are presented with two segments and choose to compare the two importantly the authors propose that people compare the s... | the submitted paper was reviewed by 4 knowledgable reviewers and the reviewers and authors enganged in intense discussions the authors clarified many details in these discussion but could not convince the reviewers in all regards there are still open concerns regardings the proofs and the update proofs came in rather l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the strong lottery ticket hypothesis slth for nonrelu activation functions just as its title implies previous theoretical works have advanced the slth in many aspects one missing part is ... | the submission provides a nice extension of the previous work that shows a random network with 2l layer contains a subnetwork or lottery ticket that approximates the target network of depth l well instead of 2l they show l1 layer plus a logarithmic factor wide suffices overall it is a nice solid contribution to the com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the operator norm of the inputoutput jacobian fullyconnected networks with layernorm under the assumptions that the width approaches infinity the authors provide a lower bound for the oper... | this work performs a mean field analysis of a certain class of fully connected networks with and without layer normalization theory is provided which successfully predicts when some networks will exhibit either exploding gradients or representation shrinkage which is similar to the extreme ordered phase discussed in pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide theoretical and empirical study on the mixture of expert layer which has recently become increasingly used and for which there is limited theoretical understanding they show that cluster... | this paper analyzes mixtures of layers applied to dnns in order to understand their limits and how they benefit to dnns a significant theory and experiments support the claims of this paper despite the doubts of one review on the experimental protocol consequently i recommend the acceptance of this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the privacypreserving graph neural networks gnn using fully homomorphic encryption existing works mainly focus on protecting the data privacy of convolutional neural networks cnn using ful... | the reviewers appreciate the importance of both gcns as an application as well as the application of fhe to make their computations secure the authors are strongly encouraged to 1 include the comparison to the prior work that reviewer rkgq identified in the camera ready version 2 discuss complexity and include the exte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies two problems plaguing graph neural networks gcnsgnns 1 oversmoothing of gcnsgnns and 2 gcnsgnns often do not yield good performance on heterophilous networks the authors aim to develop a t... | this paper focuses on investigating the relations between the heterophily and oversmoothness problem however the relationship is not clear the oversmoothness problem considers the features and the adjacency matrix while the heterophily incorporates the adjacency matrix and the labels they have different views on the g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update revised score from 4 to a 6 mainly because the authors rightfully pointed out that they did have an ablation study in their paper which demonstrates the efficacy of their proposed methods summary th... | reviews for this paper were quite mixed 7744 and none were exactly borderline all reviews were detailed and informative as was the rebuttal the main criticisms were 1 lack of detail in the experiments and some missing evaluation 2 missing related work 3 overall lack of polish mentioned among positive reviews too and 4 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies hard label adversarial attacks to specifically examine whether such attacks find adversarial examples that are close to the data manifold the paper argues this is counter intuitive to our... | the paper investigates several properties of adversarial examples obtained by hardlabel attacks there are some interesting findings in this paper such as the connection between query efficiency and distance to the image manifold however all the reviewers think the paper is below the acceptance threshold due to several ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality of results this papers empirical results are its main strength they evaluate on a wellknown benchmark for transfer learning in text classification the amazon reviews dataset of blitzer et al 2007 ... | this paper presents a method for transferring source information via the hidden states of recurrent networks the transfer happens via an attention mechanism that operates between the target and the source results on two tasks are strong i found this paper similar in spirit to hypernetworks david ha andrew dai quoc v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of de novo assembly which is one of the most complicated tasks in bioinformatics de novo assembly is a task to reconstruct the whole genomic sequence given numerous broken p... | the paper demonstrates that one phase of de novo assembly specifically the layout phase can be replaced with graphneuralnetwork based methods the paper clarifies in the rebuttal that it focuses on building a method for assembling highquality long reads all four reviewers rated the paper as below the acceptance thresh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses incremental learning applied to semantic segmentation there are two main contributions adding an extra loss term aiming at preserving separately the positive and negative contribution va... | this submission deals with incremental semantic segmentation the authors propose two contributions 1 a new knowledge distillation loss based on two separate loss functions for positive and negative class logits 2 a dedicated initialization strategy for the classifiers of novel classes they present strong results on sev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post rebuttal i thank the authors for their response and additional experiments please see my comments below relation to 1 the first version of 1 appeared on arxiv in february i am not sure if it has be... | the paper studies personalized federated learning mixing a global model with locally trained models reviewers agreed on the relevance of the problem and that the work contains valuable contributions such as the generalization bounds after discussion unfortunately consensus remained that the paper remains narrowly belo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks at the problem of computing committor functions which is defined as the probability a state first visits a local minimum of the energy landscape in langevin dynamics the authors motivates t... | this paper proposes a neural network based method for computing committor functions which are used to understand transitions between stable states in complex systems the authors improve over the techniques of khoo et al with a method to approximately satisfy boundary conditions and an importance sampling method to deal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provided a convincing and intuitive motivation regarding the need for active learning in unsupervised anomaly detection however the proposed approach of requesting expert feedback for the top ran... | following the unanimous vote of the reviewers this paper is not ready for publication at iclr the most significant concern raised is that there does not seem to be an adequate research contribution moreover unsubstantiated claims of novelty do not adequately discuss or compare to past work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors implement an opensource simulation environment flexs to emulate complex biological landscapes tf binding landscapes and to train and evaluate rna or protein sequence design problems swampland la... | this paper considers the problem of biological sequence design and optimization the authors made an interesting yet important case that in certain sequence design tasks a simple evolutionary greedy algorithm could be competitive with the increasingly complex contemporary blackbox optimization models most reviewers app... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper complements a class of recent work on function approximation for image function representation that leverages random fourier functions and sinusiodal activation functions siren the mai... | the paper proposes multiplicative filter networks gabornet and fouriernet as functional approximations of deepnets the proposed networks are a sequence of multiplications linear functions of sinusoidal or gabor filters the authors show that in some cases the performance of proposed networks outperforms the existing dee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to apply a stateoftheart selfsupervised training method wav2vec 20 to multilingual asr the paper provides an intensive analysis of how we use such pretrainingfinetuning strategies includ... | this work mainly applies wav2vec 20 to multilingual speech recognition and lacks of novelty the various pretraining and finetuning mixmatch are specific to the speech recognition task as suggested by reviewers it is recommended to resubmit to a speech conference also the paper lacks comparisons to sota on one of the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers a federated minimax optimization problem with compact constraints the contents of this paper are threefold first under assumptions with respect to the maximization variable the authors ... | this paper has three main contributions 1 a generalization bound for learning in adversarial learning frameworks such as gans based on rademacher complexity 2 a proof that local sgda with constant stepsize does not converge for these problems in federated settings and therefore does not achieve linear convergence and 3... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces 3 new variants of anderson mixing methods relying on very limited short term memory this makes these methods more attractive for usual machine learning workloads the paper also provides... | the reviewers found this work wellmotivated and the additional experiments conducted during the response phase were greatly appreciated andersons acceleration appears to be a simple device that may be of great value to this field and therefore this work is a timely contribution the presented theoretical results justify... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pflbench is a comprehensive benchmark suite for personalized fl pfl it contains more than 10 datasets in diverse application domains and more than 20 pfl baseline implementations the paper also demonstrates... | this work highly benefited from the rebuttal period and following the reviewers comment i now recommend it to be accepted it offers a nice overview of personalized fl after checking i would however concur with the reviewers in asking the authors to be particularly careful with the given code that could benefit from an ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a new franzparisi criterion for predicting computational hardness in certain types of hypothesis testing problems where the goal is to distinguish a mixture model with a random planted... | the paper establishes new bridges between two fundamental notions for the study of average case hardness of hypothesis testing problems lowdegree functions and the franzparisi free energy and also connect them to mcmc hardness the paper has been very well received by the reviewers who have done a great job i agree with... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
contribution authors propose using a neural network to learn an approximate solution for desired boundary conditions in order to accelerate the semiconductor device simulation they significately reduce the ... | this paper proposes using a neural network to learn an approximate solution for desired boundary conditions to accelerate the semiconductor device simulation the work shows that speedup simulation is increased significantly however the major concern about this work is the limited contribution to the machine learning co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to regularize the training of timeseries forecasting models for better generalization performance it extends the recently proposed flooding method which prevents the training los... | the reviewers highlight the novelty of the method the clarity of writing and the consistent performance improvements over baselines initial concerns by the reviewers related to missing related work missing empirical evaluation within the more mature shortterm forecasting experimental paradigm and missing empirical comp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates if invariances learned by the model transfer across classes focussing on classagnostic nuisance parameters the interplay between perclass size and invariant representations has been e... | this paper investigates how well properties invariant to changes such as lightening and background learned in the major class can be transferred to the minor class in this paper the authors reveal that invariances do not transfer well to small classes and suggest that resolving this phenomenon can help increase the per... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors analyze the zerosum stochastic stackelberg game they proved the existence of an optimal solution in zerosum games and showed how to compute a recursive stackelberg equilibrium via value iteratio... | there was a positive consensus amongst the reviewers about this paper it examines an interesting setting and makes worthwhile contributions i believe that it that would make a nice contribution to neurips and that it is likely to lead to more followup work at the same time the authors should take care to improve the di... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a benchmark to measure the quality of the systems in the growing domain of code intelligence that includes code search code completion and codetocode translations among others the authors... | the paper proposes a comprehensive benchmark for program understanding and generation consisting of 10 tasks across 14 datasets all the reviewers agree that this dataset has potentially be used as a standard benchmark to measure progress in this domain therefore i recommend acceptance of this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an autoencoder for highquality waveform synthesis the approach is based on multiband decomposition vae and adversarial finetuning the synthesis speed is substantially faster than existin... | this paper presents an approach to high quality waveform synthesis using multiband decomposition the resulting synthesis speed is substantially faster the past work on both cpu and gpu a feature that all reviewers viewed as a significant strength however the majority of reviewers raised concerns about discussion of an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors focus on the important problem of scalable approximate inference in bayesian nns more specifically they propose a method for scalable bnns via a fullcovariance gaussian laplace approxi... | this paper propose an approach to efficient bayesian deep learning by applying laplace approximations to substructures within a larger network architecture in terms of strengths scalable approximate bayesian inference methods for deep learning models are an important and timely topic the paper includes an extensive set... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
what is the problem question there is a ongoing trend in ml right now of exploring larger and larger pretrained pt models in general increasing the scale of these pt models has yielded better performance ... | this paper provides a very largescale study on the pretraining of image recognition models specifically three scaling factors model sizes dataset sizes and training time are extensively investigated one important phenomenon observed by this paper is that stronger upstream accuracy may not necessarily contribute to stro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes adaptive simple graph convolution asgc which can adapt to both homophilous and heterophilous graph structures asgc represents an extension of sgc to graph with heterophily which is a nov... | this paper proposes a new feature smoothing graph learning algorithm handling heterophilous graphs the proposed idea is an adaptive node feature smoothing technique which essentially uses a regularized least square to find a weighted sum of the krylov matrix columns smoothed features at different orders as an approxima... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of abusive language detection in social media with focus on indic languages which are traditionally not resource rich in terms of datasets to that effect the paper makes the fo... | this paper creates macd a largescale 150k humanannotated multilingual 5 languages dataset for abusive language detection in social media the dataset has a focus on indic languages which are lowresource for this task the paper presents in detail the sampling and annotation process in addition the paper presents abusexlm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies query efficient blackbox attacks which aims to generate blackbox adversarial examples using least number of queries to the unknown victim model the authors proposed to leverage ensemble o... | this paper proposes bases a queryefficient blackbox adversarial attack by first generating adversarial perturbation with gradientbased attack using a weighted ensemble of surrogate models the perturbed image is used to query the target model and its feedback is used to update the weights via zerothorder optimization th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes an offpolicy evaluation dataset dope for various control tasks the authors include various baselines for offpolicy evaluation and evaluate them with additional metrics to mse na... | this paper proposes benchmark tasks for offline policy evaluation the proposed benchmark tasks evaluate the policy with batch data with respect to three metrics including the standard mean squared error the paper also evaluate several baseline offline reinforcement learning methods with the benchmark tasks which will ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the empirical risk of mixupstyle training methods first the authors provide an example where mixup training cannot minimize the empirical risk on the original data second the authors pro... | this paper presents an interesting analysis of mixup discussing when it works and when it fails the theory is further illustrated with small but intuitive examples which facilitates understanding the underlying phenomena and verifies correctness of the predictions made by the theory the submission has received three re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an empirical study on pretraining for lifelong learning the paper suggests that the generic pretraining implicitly alleviates the effects of catastrophic forgetting in lifelong learning ... | the paper presents an empirical study on the impact of pertained model on lifelong learning it concludes that the generic pertaining can benefit the lifelong learning duet the flatter loss landscape and evaluates on cv and nlp tasks the paper is well written with detailed analysis however there is concerns on its limit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to fuse lidar with rgb observations for 3d human joints prediction pixelaligned multimodal features are fed into the transformer semisupervised learning is adopted to utilize abundant 2d... | the addressed problem is very important and relevant for robotics and autonomous driving and the proposed approach shows a very good performance over current methods there are different opinions within the reviewers regarding the novelty of the approach which means that the work should be placed into context more preci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide through validation of the proposed method using three large covid19 chest ct datasets the method is compared with previously proposed approaches and the parameter sensitivity is investi... | three reviewers have reviewed the work while not all reviewers are convinced about the clinical value of covid detection in ct scans they recognize that the work has methodological contributions and the strength of the quantitative results is clear the use of 2d slices instead of 3d ct volumes is mentioned as a limitat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose a model for clustering survival data which accounts for both survival time as well as covariates such as patient demographics the model is similar to previous approaches tho... | four knowledgeable referees recommend accept i also think the paper provides a unique contribution to the field of deep survival models and i therefore recommend accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of contributions this paper presents an entirely unsupervised method for taking as input a corpus of reviews about a set of items and building as output a directed graph where each node represents ... | this paper addresses the task of unsupervised knowledge base construction the reviewers like that the authors present a novel unsupervised approach and are happy with the thorough experiments however they also point out that the approach could be motivated better and that it makes many assumptions that are not explaine... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new rl benchmark environment called smpl which consists of five simulated manufacturing process control tasks developed for important reallife manufacturing problems under the guidance... | the paper provides a suite of environment simulators aimed for offline and online rl evaluation the contributions of the paper are significant for focusing on industrial manufacturing and process control problems which is a departure from more classic rl tasks eg locomotion robotic manipulation driving these environmen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the unsupervised domain adaption uda problem particularly the paper proposes to impose neighbor class consistency on target features to preserve intrinsic discriminative nature of targe... | this paper proposes a method via a novel objective for feature alignment between source and target tasks in an unsupervised domain adaptation scenario pro the proposed approach is sensible in many realistic scenarios of distribution shift the submission provides an extensive empirical evaluation establishing state o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting adversarial strategy to attack federated learning systems and discussed options to detect and prevent the attacks it is based not upon data poisoning attacks but model poi... | this paper proposes model poisoning poisoned parameter updates in a federated setting in contrast to data poisoning poisoned training data it proposes an attack method and compares to baselines that are also proposed in the paper there are no external baselines while model poisoning is indeed an interesting direction t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper developed methods for resampling from the hindsight experience replay buffer the resampling strategy was developed based on the current policy and the overall distribution of the relative goals a... | this paper extends the idea of hindsight experience replay her to learn q functions with relative goals by constructing a distribution over relative goals sampled from a replay buffer using a clustering algorithm this approach is evaluated on three multigoal rl environments and is shown to learn faster than baselines ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a twostage error correction procedure for approximated doubly compressed gradients multiple theorems are derived to prove convergence and scaling properties the algorithm can be combine... | the reviewers initially struggled to position this contribution in terms of usefulness during the discussion phase it became more clear that the proposed method is best used to reduce the communication overhead of zero3 while the integration of this work and zero hasnt been attempted yet the authors claim that this wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a regularized policy learning algorithm for offline reinforcement learning the implicit policy is trained by a ganlike framework and the regularization loss constrains the distance betwe... | the authors propose to use implicit policies similar to a conditional gan with a ganinspired regularizer theoretically they show an equivalence between policymatching and stateactionvisitation matching finally they evaluate their approach on d4rl and showed improved performance as well as ablations reviewers did not f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper the authors proposed to solve the learning problem of adversarial examples from riemannian geometry viewpoint more specifically the euclidean metric in eq7 is generated to the riemannian metric... | on the positive side this is among the first papers to exploit noneuclidean geometry specifically curvature for adversarial learning however reviewers are largely in agreement that the technical correctness of this paper is unconvincing despite substantial technical exchanges with the authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to deal with data scarcity in context of learning large transformer language models for theorem proving this work proposes a methodology called pact for extracting auxiliary task data for joint training alo... | this paper has potential impact in the theorem proving community and demonstrated the possibility of using lms for theorem proving in lean and is good enough to use in the real world through an interactive theorem proving tool the reviewers wish their datamodels were public to address some concerns raised by the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method for employing neural networks to aid in solving an nphard problem the authors use the divideandconquer approach to regular expression generation by generating the regex on... | there were genuine differences of opinion here i saw reviews of 8655 in these cases i do try to check if the 8 has a really compelling argument and err on the side of accepting but here i think both the positive and negative reviews have fair points so i am inclined to recommend rejection here i think the good news is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is releasing a dataset and a model for citation field extraction the task of parsing the a bibliography entry of a paper into its corresponding fields authors title venue year etc the dataset is ... | the authors consider the problem of citation field extraction which is necessary for automatically constructing scholarly databases while there were some concerns regarding the novelty of the work the importance of the task and dataset to be released with the work outweights these |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose to solve an order fulfillment problem with imitation learning backed by gnns the specific version of the fulfillment problem is nontrivial discussed has a hierarchy in order an order can be ... | a gnn model is developed for the supervised realtime learning of optimal solutions for an orderfulfillment problem gnns with fast forward computations are naturally one good choice given the realtime nature of the problem while the complexity of the problem and formulation were generally appreciated by the referees th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
they propose a reply estimation way that uses a combination of simulated and empirical rollouts to optimally estimate expert moments they show the finite sample guarantee that can enjoy both of the worlds ... | everyone in the review committee see this as a strong paper with a novel and practically useful replay estimation technique solid theoretical contribution with a meta theorem that can deal with general function approximation and weaker assumptions also strong empirical results on various benchmark during rebuttal autho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a framework for joint perception and control as inference pci to combine perception and control for the case of pomdps the authors particularly focus on the case of hidden perceptual sta... | this paper introduces an object perception and control method for rl derived from a controlasinference formulation within a pomdp the paper provides a theoretical derivation and experiments where the proposed jointinference approach outperforms baselines the discussion focussed on understanding the papers contributio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses a very relevant problem of domain adaptation and finetuning of deep learning in the field of medical imaging authors use a variety of datasets for different relevant medical tasks to v... | this paper introduces a comparison between transfer learning approaches namely finetuning the batch norm affine parameters and finetuning model parameters at different levels experiments were conducted on 9 datasets 4 models and 5 variations of finetuning that target the testing of the following hypothesis finetuning ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies offline policy evaluation ope and optimization in the modelbased setting the main methodological contribution of the paper is using autoregressive models for the next state and re... | the paper is about the use of autoregressive dynamics models in the context of offline modelbased reinforcement learning after reading the authors responses and the other reviews the reviewers agree that this paper has several strengths well written easy to follow the approach is novel and simple to implement the empir... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the very important problem of incorporating physics into machine learning model with special focus on the missing flow estimation problem it proposes the a flowestimation model that ... | the paper combines bilevel optimization and reverse modedifferentiation for flow estimation on networks most reviewers think the idea of incorporating physical constraints is interesting and novel and the experiments convincing |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the problem of distributed training with large batches in a communicationbottlenecked setup where regular versions of algorithms such as lamb become a constraint authors propose a new algo... | the authors propose a communicationefficient distributed lamb optimizer using a 1bit compression this work is similar in spirit to other prior work eg 1bit adam although the algorithm works reasonably well it is a bit unclear how much compression is achieved overall the algorithmic novelty is limited given the prior wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript considers learning a closedloop autoencoder between multiclass multidimension data and ldr it also provides various experiments to verify the proposed method the idea of viewing the encoder ... | the authors describe an approach to modeling data via an implicit representation that lives on a union of linear subspaces while the reviewers consider the authors approach as novel and having potential they and myself consider that the exposition and notation could be improved and that the paper as it is is hard to u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper looks into videotext retrieval problem the claim is that existing works mostly rely on titles and captions the paper argues for using user comments the challenge is that not all user comments a... | this paper focuses on how to improve videotext retrieval via using additional user comments and uses an attention mechanism to filter out the irrelevant comments the main contribution is a context adapter module that allows learning from the auxiliary modality through an attention mechanism the reviewers appreciated th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an interesting paper on a statistical analysis of batch normalization it takes a holistic approach combining techniques and ideas from various fields and considers multiple endpoints such as tuning... | the ideas presented in the paper are quite intriguing and draw on a variety of different connections the presentation has a lot of room for improvement in particular the statement of theorem 1 in its current form requires rephrasing and making it more rigorous still the general consensus is that once these presenta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to reducing the sample complexity in multitask reinforcement learning using permutation invariant policies the main premise of the paper is that certain families of tasks exh... | this paper tackles a problem of resource allocation using reinforcement learning an important invariant permutation invariant is identified as an important characteristic of this problem then it is shown that taking advantage of such an invariant should dramatically improve the sample efficiency on behalf of the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests a method for generating representations that are linked to goals in reinforcement learning more precisely it wishes to learn a representation so that two states are similar if the policie... | to borrow the succinct summary from r1 the paper suggests a method for generating representations that are linked to goals in reinforcement learning more precisely it wishes to learn a representation so that two states are similar if the policies leading to them are similar the reviewers and ac agree that this is a n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on gaussian process bandits setting where the reward observations are corrupted by an adversary the work proposes an algorithm robust to adversarial corruption the work shows that the regr... | the paper studies gaussian process bandit optimization in the adversarial corruption model this setting was considered in the work of 7 and regret bounds were presented where the adversarial term contains both the time horizon t and the corruption level c which is not ideal the current paper presents an improved algori... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a platform for audiovisual simulation that can be used for audiovisual rendering the paper also presents a dataset called soundspacespanoir for acousticvisual learning tasks the simulatio... | this paper was reviewed by six experts and received all positive scores ac feels this work is interesting and deserves to be published on neurips 2022 dataset track the reviewers did raise some valuable concerns that should be addressed in the final cameraready version of the paper the authors are encouraged to make th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes image which is a texttoimage diffusion model the major finding of this work is that using large language models pretrained only on text data as text encoders are effective for texttoimag... | this paper proposes imagen that uses large transformer language models and diffusion models for texttoimage generation the major finding is that using large language models pretrained only on text data as text encoders are effective dynamic thresholding and efficient unet architecture are proposed to improve the traini... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a simple technique for targetside data augmentation the highlevel idea is to generate a soft token embedding by interpolating the target side word embeddings with the output distributi... | this paper presents a method for target side data augmentation for sequence to sequence models the authors of the paper use a relatively straightforward method to generate pseudo tokens that are used for enhanced training the authors present results on dialog generation mt and summarization where automatic metrics sh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel algorithm to approximate kernel matrixvector multiplication kmvm for large kernels and data of dimension less than or equal to 7 experiments and theoretical analysis suggest the a... | the authors propose an new approximation procedure for kernel matrixvector multiplication target to tall and skinny kernel matrices the proposed method achieves significant speedups over the stateoftheart gpubased linear solver falkon while sacrificing only small drops in accuracy due to approximation the paper discus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new secure cryptographic protocol for standard components in transformers such as matrix multiplications softmax gelu and layernorm the authors method is the first implementation of se... | the paper studies private inference on transformerbased models it provides methods to securely perform matrix multiplication and certain other nonlinear function computation the evaluations find that their methods are much more efficient than the state of the art all of the reviewers are positive about the paper and i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study both theoritically and empirically the sample efficiency of training with data augmented samples on a set of augmentations such as translation shearing rotation and zoom they derive mathem... | this paper studies data augmentation through the lens of an explicit regularizer deriving a closed form regularization term corresponding to the effect of data augmentation in the case of linear models and mse and analyzes its properties with respect to convergence sample efficiency and stability data augmentation is a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a structureregularized filter pruning strategy for efficient sisr considering the residual connections in the sr networks the authors propose to prune the filters that are aligned across... | this paper receives positive reviews the authors provide additional results and justifications during the rebuttal phase all reviewers find this paper interesting and the contributions are sufficient for this conference the area chair agrees with the reviewers and recommends it be accepted for presentation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a semisupervised approach to perform salient object detection in videos using a combination of pseudolabel prediction and adversarial noise reduction training the authors propose a multi... | in this paper the authors propose an approach for semisupervised salient object detection using a combination of pseudolabel prediction and adversarial training showing improved results on a number of benchmarks some concerns about more detailed analysis of aspects of the approach were raised but seemed to be mostly ad... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel unsupervised method snake to detect 3d keypoints from point clouds based on implicit neural representations the key idea is to combine shape reconstruction and keypoint detection ... | postrebuttal the paper had split reviews with three reviewers in favor of acceptance 6 6 5 but noted as a 6 in the final comment from 2twx and one reviewer strongly arguing for rejection 3 the ac examined the reviews the paper and the discussion and is inclined to accept the paper the ac is persuaded by the arguments p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of classificationbased online imitation learning and shows a negative result that any proper learning fails to achieve sublinear regret the main contributions include theor... | this paper studied imitation learning in the classification setting the paper shows that using proper online learning algorithms is not sufficient to obtain sublinear regret and devises an improper learning framework that relies on online linear optimization resulting in provably efficient algorithms all the reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows empirically that the test error of a network is approximately equal to the disagreement rate between two separate training runs of the network measured on unlabeled test data this is true e... | this article introduces an interesting variant of the work of nakkiran bansal 2020 it shows empirically that the test error of deep models can be approximated from the disagreement on the unlabelled test data between two different trainings on the same data the authors then show theoretically that a calibration proper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method to give exploration bonuses in rl algorithms by giving larger bonuses to observations that are farther away k in environment steps to past observations in the current episo... | the authors present a novel method for tackling exploration and exploitation that yields promising results on some hard navigationlike domains the reviewers were impressed by the contribution and had some suggestions for improvement that should be addressed in the camera ready version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose a new strategy to compress a teacher neural network briefly the authors propose using bayesian optimization bo where the accuracy of the networks is modelled using a gaussia... | the authors propose a method to learn a neural network architecture which achieves the same accuracy as a reference network with fewer parameters through bayesian optimization the search is carried out on embeddings of the neural network architecture using a train bidirectional lstm the reviewers generally found the wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a definition for fairness between agents in federated learning that is derived from social choice theory the authors name it corestability intuitively corestability ensures that there ... | this paper introduces core stability as a fairness notion for federated learning which is motivated by social choice theory the reviewers all agreed that the paper provides a novel contribution to studying fairness in federated learning the authors have also addressed reviewers questions during the discussion period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work draws inspiration from the invariant risk minimization irm framework to improve the generalization capability of inverse reinforcement learning irl methods the papers contributions are deriving a ... | this work addresses the issue of learning reward functions that overfit lessare invariant to irrelevant features of expert demonstrations the proposed algorithm builds on top of adversarial imitation learning airl and proposes to include a regularization principle that is based on invariant risk minimization the propo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors describe their contributions in the introduction the analysis of equivariance of selfattention and how group invariance in the relative positional encoding enables group equivariance of the self... | the paper introduces group equivariant self attention networks constructed by defining positional encoding that are invariant to the group action considered this is related to equivariance in set networks the work is sound and the idea of infusing the inductive bias via the positional encoding is interesting and lead... |
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