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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an ood detection method that combines robust feature extraction ood feature generation and adversarial training this adversarially trained discriminator aims to provide a robust ood dete... | the paper considers ood detection facing adversarial attacks it shows existing defenses are ineffective to endtoend attacks on both inout distribution data with larger perturbation than previous work with the intuition of training with adversarial examples on both inout distribution data it then proposed a method atd t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces the concept of fluctuationdissipation relations to stochastic gradient descent these relations hold for certain observables in physical systems in equilibrium in the context of sgd as a... | the paper presents interesting idea but the reviewers ask for improving further paper clarity that includes but is not limited to providing indepth explanation of assumptions and also improving the writing that is too heavy and difficult to understand |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the gap dependent sample complexity of obtaining the optimal policy in episodic rl with offline data the authors first define the notions of uniform optimal policy coverage coefficient an... | this paper studies gapdependent sample complexity in offline tabular rl the authors show that when there is a gap in the optimal qfunction and the density ratio between optimal and behavior policies is upperbounded the sample complexity can be improved from o1epsilon2 to o1epsilon using a pessimistic algorithm the auth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the interesting problem of learning formal task specifications ie a dfa from expert demonstrations in a mdp the main motivation is that symbolic structures dfas in this case offer bet... | the paper presents a new approach for synthesizing automatabased specifications from sample behaviors in some ways this is very related to the problem of generating dfas from examples but there are important differences related to this planning context that make it more constrained i think this is an interesting proble... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hoda is a new defense against model extraction attacks it is a detection method that determines if a given user is adversarial based on the hardness of users queries for a given sample the hardness metric i... | the paper presents a new method for detection of model extraction attacks it is based on the intuition that typical model extraction attacks involve samples submitted by users that are harder to classify than benign samples submitted by users by introducing the notion of hardness a metric is developed for identifying m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the ddsp generative modeling approach engel et al 2020 to higher levels of abstraction for highlevel midi audio synthesis with intermediate levels of semantic control over the generation... | this paper proposed mididdsp a structured hierarchical generative model which offers both detailed expressive controls as in traditional synthesizers as well as the realistic audio quality as in blackbox neural audio synthesis overall the reviews are very positive all the reviewers unanimously agree that the paper is v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced a logbarrier based regularization method to reduce the dynamic range of data types activation weight error gradient and input in neural networks the authors claim that such regulariza... | this paper introduced a logbarrier based regularization method to reduce the dynamic range of data types in neural networks as pointed out by the reviewers there are many technical issues the authors agree with the reviewers in the rebuttal though claimed that they are fixed in the revised version of the paper experim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper contributes to the domain of causal inference in particular to the area of heterogeneous treatment effect hte estimation authors propose a methodology to identify the drivers of treatment effect h... | this submission proposes a semisynthetic dataset to estimate conditional average treatement estimation cate and an empirical study of recovery of important parameters by cate estimators the submission generated much discussion between the reviewers and the authors the question and the empirical evidence was seen as in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on improving the computational complexity of permutation decoding in permutation decoding one aims to decode a permutation of the received codeword in the hope that it will lead to success... | the reviewers positively valued the proposed idea of performing permutation selection in permutation decoding via combining node embedding and selfattention which seems to be of high originality i found that this paper is mostly clearly written except section 32 as anonreviewer5 commented the main concern among the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of training gnns in a distributed environment eg with multiple machines communicated through a network in such a setting the training of gnns for node classification problem... | the paper proposes a new distributed training method for graph convolutional networks using subgraph approximation the reviewers raised multiple challenges such as novelty validity of experiments and some technical issues the authors did not respond to the reviewers comments the ac agreed with the reviewers that the pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed symmetric wasserstein autoencoders swae which is a new type of generative autoencoders within the framework of optimal transport ot this work is based on wasserstein autoencoders wae but... | in this paper the authors proposed a new variant of the wasserstein autoencoder wae which matches the joint distribution of data and the latent codes induced by the encoder and the joint distribution induced by the decoder in the framework of optimal transport because of matching the distributions that are not consider... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
motivated from the idea that minimal representations that encode information relevant to a task and nothing more are likely to generalize well the paper proposes an approach titled model invariance modinv... | although all reviewers had many positive comments on the paper and the authors engaged nicely in the discussion period at the moment there is a consensus among the reviewers that the central claims of the paper related to minimal representations information bottleneck are not adequately supported by the current experi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a computationallyefficient method to detect adversarial examples in reinforcement learning models the detection method is based on the curvature of the loss landscape around the inputs w... | this paper proposes a computationallyefficient method to detect adversarial examples in reinforcement learning models the detection method is based on the curvature of the loss landscape around the inputs which is shown to have larger negative value for clean examples compared to adversarial ones the experiments on ata... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents an approach to metarl based on combining gradientbased updating with recurrencebased metalearning the approach is based on combining gradientbased policy updating with recurren... | a metarl algorithms that aims to improve meta policy interpretability by reducing the metagradient variance and bias estimation the method is evaluated on an exploration in 2d navigation and metarl benchmarks despite an important topic of research the reviewers are unanimous that the paper is an early version and requ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a framework for studying sequence neural models based on koopman theory particularly the authors compute linear approximations of the state paths via simple matrixvector multiplications a... | this paper proposes to apply the koopman operator theory framework for analyzing sequence neural models the authors considered two particular applications namely sentiment analysis and ecg electrocardiogram classification reviewers generally agree that the results obtained on the two tasks are interesting however ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors reproduce the results for the paper nondeterminism and instability in neural network optimization and use the implementation provided by the original authors they have contacted the orig... | all reviewers strongly agree on the high quality of reproduction effort in this report the reproduction effort is heavy with experiments and the authors do a good job in performing ablation studies and generalization experiments on different dataset and model architectures the report adds valuable insights to the resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the pseudolabel in classmismatched semisupervised learning when there are unlabeled outofscope data from other classes the authors propose a model consisting of 1 rebalanced pseudolabelin... | all reviewers agreed that this work on ood and pseudolabeling presents interesting and strong results the authors rebuttal has addressed some of reviewers concerns based on the current review and discussion there are still several major concerns towards the expensive computational cost introduced by the clustering meth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper covers the topic of predictive uncertainties the paper is wellwritten and contributes a tool to a concrete problem the work is heuristic in nature and so lacking on the theoretical side the paper... | meta review the manuscript introduces a novel framework for the attribution of predictive uncertainties in classification models which combines path methods counterfactual explanations not in a causal sense and generative models while the work does not contain a theoretical analysis of the proposed method the reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
simple method good related work section written not not only list but also explain prior work nice analysis of nonsampling inference method in appendix learning a underspecified see comments below exp... | meta review the authors propose a bayesian method for modeling trajectories over multiple states in applications where the markov chain memorylessness assumption is unrealistic their solution is to create an infinite mixture of markov chains of different lengths such that the resulting model is not markovian but only r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a dataset to train ai models on computer vision tasks such as optical flow estimation depth estimation and selfmotion estimation the dataset is gathered by rendering camera views in virt... | acceptposter the paper received reviews leaning towards accept the rebuttal by authors addressed a number of concerns it would be useful to see improvements to the documentation of the dataset in the final version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a comprehensive unsupervised node outlier detection benchmark called unod that aims to understand graph od algorithms performance better it examines fourteen od methods on realworld and ... | this paper focuses on the task of anomaly or outlier detection in graphs it provides a formulation of the notion of anomalies that enables synthetic injection of them into existing data in addition to the consideration of organic anomalies while reviewers raised certain concerns about the benchmarking procedures as wel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new bayesian deep rl algorithm that learns deep q networks dqn without using gradient descent the updates of dqns parameters follows from the tractable approximate gaussian inference t... | the authors combine tagi with qlearning to create an approximate bayesian qlearning algorithm they evaluate their approach and show it has comparable performance to dqn all of the reviewers were positive about the potential of the paper unfortunately the paper suffers from lack of clarity of motivation and comparison ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a scalable gp based on karhunenloeve expansions of kernels the paper takes a fully bayesian approach where gibbs sampling is used to infer the kernel parameters therefore leading to forwa... | reading the reviews i think there are ultimately two challenges for the authors to address in this work first i think ends up being a somewhat simple background for the community problem as both several reviewers and the authors in their general comments point out significantly more background on kl decomposed kernels ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the problem of learning a hash function such that semantically similar elements have high collision probability they modify the approach deep hashing networks zhu et al 2016 with a new... | thanks for your submission to iclr this paper presents an extension to deep hashing networks that utilizes angular similarity and show improved results using the proposed method the reviewers were somewhat mixed on this paper with two of three reviewers on the negative side some reviewers appreciated that the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks at ways to improve memorywriting in memory augmented neural networks authors proposed two methods to compare against regular writing method as well as compare against each other namely unif... | wellwritten paper that motivates through theoretical analysis new memory writing methods in memory augmented neural networks extensive experimental analysis support and demonstrate the advantages of the new solutions over other recurrent architectures reviewers suggested extension and clarification of the analysis pres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces ontoprotein a comprehensive pretraining framework for protein embedding with the knowledge of gene ontology go more specifically ontoprotein jointly optimizes on both masked protein mo... | this paper introduce a protein pretraining framework that enhances representations learnt from protein language modeling with knowledge graph embeddings the new framework ontoprotein optimizes jointly a masked protein objective and a knowledge graph embedding objective producing knowledgeaware protein embeddings these ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a new kind of adversarial attacks named hypocritical attack it is a reverse version of the original adversarial attack it tricks a model into classifying data correctly with a pe... | this paper the flipside of an adversarial attack in that data may be perturbed to make it look like a model was performing well rather than the standard notion of adversarial attacks the reviewers found this notion interesting and potentially worthy of investigation however as it stands the proposed applications and me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a network that is equivariant to entity permutations without requiring the prespecification of the set of entities to this end the authors propose a hybrid semanticsymbolic embedding whi... | this paper proposed a new type of models that are invariant to entities by exploring the symbolic property of entities this problem is important in language modeling since it gives intrinsically more proper representation of sentences which can better generalize to new entities however i still suggest to reject this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes combinational music generation a task for creating different background music based on given conditions the task creates music samples with musical metadata and combines them to produce c... | all six reviewers recommend acceptance reviewers found the large dataset of professional midi music and metadata to be a useful resource authors should attend to main points in the reviews when preparing a final version these issues include those raised by reviewer 2g3b around more clearly presenting the contributions ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a primal dual minimum description length paddle formulation which balances data fitting accuracy and model complexity for a given fewshot task it extends the current benchmarks so that ... | the reviewers have raised some concerns on the baselines used in the empirical evaluation however the additional experiments by the authors seem to have convinced the reviewers please make sure to add these additional experiments in the cameraready version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel state distance metric to regularize the latent space of modelfree reinforcement learning agents the proposed rap metric accounts for the variance of the rewards received in a pair... | unanimous accept from 4 reviewers this paper was initially divisive among reviewers scoring 7744 now 7756 post rebuttal while the consensus of this representation learning work had initial strengths of clear analysis of previous metrics clear evaluations writing and good experimentation the prior weaknesses were main... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel endtoend survival model by analyzing wsis the authors introduce stratification boosting in the model experimental results show that stratification boosting improves the concordan... | three knowledgeable reviewers recommend weak accept after the rebuttal and discussion one of the main concerns of the reviewers is the relatively small size of the dataset that is used in this study however all of them appreciated the presented method i think that this paper will be a good contribution to midl 2021 |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall the paper is well written and it was easy to follow for me related work section touches upon many similar works and does a decent job motivating and explaning the differences with their method t... | meta review i find this paper to present an interesting perspective analyzing the sampling bias in active learning and correcting for it there was some debate with review ykx9 about the assumptions and rigor of the theory but i found the author responses adequate i recommend acceptance the authors should take care t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents some new approaches for communication efficient federated learning fl that allows for training of large models on heterogeneous edge devices in fl heterogeneous edge devices have access t... | this paper focuses on communication efficient federated learning fl and proposes an approach for training large models on heterogeneous edge devices the paper is wellwritten and the approach is promising but all reviewers pointed out that both novelty of the approach and empirical evaluation including comparison w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a brand new approach for entity retrieval which leverages an encoderdecoder architecture to generate the target entity directly to tackle the problem of invalid generation a trieconstrain... | this is a novel simple and experimentally wellsupported new idea for entity linking the key insight is to perform entity linking by producing meaningful entity names with seq2seq approaches and the big surprise is how well this works experimentally at least for wikipediastyle entities very nice paper |
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 single shot domain adaptation for gans the approach achieves visually better performance than the current sota allows more degrees of freedom and is meanwhile efficien... | this paper proposes a novel method for the singleshot domain adaptation with the help of generative adversarial nets the proposed method is interesting novel and versatile moreover the performance is impressive and better than the existing methods however the writing needs some improvement for better readability more q... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros 1 the article is fairly well written and precise 2 identification of principal stratum effects is an important topic 3 the article has a nice application to real data consissues 1 i had a bit of a dif... | the authors propose a method to estimate the principal stratum effect of a treatment on the survival outcome of patients with a positive intermediate binary outcome in neoadjuvant breast cancer clinical trials the assumptions of the paper are similar to that of shepherd et al 2006 and include monotonicity and a logisti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses mae to learn the point cloud features without fixed topology its multiscale architecture can capture features at different resolutions for guidance the pyramid architecture also facilitates ... | this paper proposes the pointm2ae a multiscale masked autoencoder mae pretraining framework for selfsupervised learning of 3d point clouds this is a generalization of the existing 2dmae framework to 3d point cloud domain the proposed pointm2ae introduces a unetlike transformer and a multiscale masking strategy to gener... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a unified single neural network architecture to realize both streaming and fullcontext asr systems the idea is simple but very efficient it uses the same model for both streaming and ful... | this paper proposes an approach to unifying both fullcontext and streaming asr in a single endtoend model techniques such as weight sharing joint training and teacherstudent knowledge distillation are used to improve the training the socalled dualmode asr is evaluated under the contextnet and conformer networks on l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a decentralized adaptive method for distributed deep learning termed dagadam convergence results are provided for smooth nonconvex objectives under a bounded gradient assumption numerica... | the paper proposes a communicatethenadapt framework for decentralized optimization with both theoretical and empirical analysis the reviewers main concern is the comparison in theory with prior methods like the gtdadam the convergence to a stationary point of gtdadam seems to be faster than the proposed method in the i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is largely an experimental paper proposing and evaluating various modifications of variational recurrent models towards obtaining sequence data representations that are effective in downstream tasks th... | this paper heavily modifies standard timeseriesvae models to improve their representation learning abilities however the resulting model seems like an adhoc combination of tricks that lose most of the nice properties of vaes the resulting method does not appear to be useful enough to justify itself and its not clear ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the paper this paper analyzes convergence rates of the standard fedavg algorithm with two sided learning rates that is widely used in federated learning in multiple orthogonal perspectives a no... | the authors have addressed the issues raised by the reviewers all the reviewers think that the paper deserves to be published at iclr 2021 the authors should implement all the reviewers suggestions into the final version especially for clarity issues and clear explanations the reviewer also encourages authors to invest... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach based on the tacotron model for speech synthesis where the attention mechanism is replaced by a duration predictor it also presents a short study on semisupervised and unsupe... | this paper investigates a nonattentive architecture of tacotron 2 for tts where the attention mechanism is replaced by a duration predictor the authors show that this change can significantly improve the robustness in addition the authors propose two evaluation metrics for tts robustness namely unaligned duration rati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel approach to training gans with limited data one that is motivated by the gap in the norms of the gradients between the target and generated images they demonstrate applications o... | the paper proposes a regularizer for limiteddata gan training all three reviewers thought the experiments were adequate to demonstrate the methods usefulness and the writing was clear the papers biggest weakness seems to be unconvincing conceptual intutition and lack of theoretical justification pointed out by reviewer... |
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:
this paper develops a metalearning approach for reweighting samples for better adversarial robustness in particular they parameterize the weights using an additional module and learn it with the maml object... | the paper introduces a metalearning approach for reweighting samples for better adversarial robustness specifically they parameterize the weights using an additional module and learn it with the maml objective i have read the paper and reviews carefully by myself and found that the paper has several weaknesses that are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new method recursive gradient optimization rgo for continual learning in the taskincremental scenario this method modifies the direction of gradients on a new task in order to minimis... | this paper proposes an innovative method for continual learning that modifies the direction of gradients on a new task to minimise forgetting on previous tasks without data replay the method is mathematically rigorous with a strong theoretical analysis and excellent empirical results across multiple continual learning ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a contrastive learning method for unsupervised anomaly detection on general multivariate tabular data the idea of the method is to train two encoders one that embeds a subset of k featur... | the paper proposes contrastive learning for tabular data to improve anomaly detection strengths interesting and important problem usage of contrastive learning for anomaly detection in general multivariate datasets is novel as prior work mostly focuses on images extensive experiments with comparisons to multiple ba... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors have collected 52 million pairs of lowlevel program implementations and their performance on 6 hardware platforms for 120 neural networks they then use this data to train a cost estimate model w... | the paper introduces a dataset of tensor program performance records for six commonly used hardware platforms which can be used to facilitate the development of tensor compilers all reviewers were positive both on the dataset itself and on the clarity of the paper reviewers pointed out some minor details to be clarifie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper looks at how choices in optimization affect how well you can train sparse networks the authors come up with a new measure of effective gradient flow which is important for good performanc... | this paper proposed a new measure of effective gradient flow egf and also compared sparse vs dense networks on cifar10 and cifar100 the notion of egf would be interesting but the paper did not present enough evidence to support this notion |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies hyperparameter hp sensitivity for the outlier detection od task which is a fundamental challenge in the unsupervised setting the authors conducted an extensive empirical study of several ... | this paper empirically demonstrates the sensitivity of unsupervised od methods to hyperparameters and proposes ensembles of models with differing hyperparameters along with training techniques based on weight sharing to do so efficiently the authors provided additional experiments to answer some reviewers major conce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new network architecture for fusing pyramid features in deep neural networks for visual object detection the authors divide an object detection network into a backbone a core and a hea... | the submission receives mixed ratings initially three reviewers are on the borderline and one reviewer eg97 leans negatively the raised issues mainly reside on the technical contribution technical correctness and experimental validation in the rebuttal the authors have tried to address the raised issues and discussed t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a spontaneous and selforganizing communication learning scheme in multiagent rl setup the problem is interesting i mainly have one concern regarding its originality from a technical per... | the reviewers raised a number of major concerns including the incremental novelty of the proposed and a poor readability of the presented materials lack of sufficient explanations and discussions the authors decided to withdraw the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an auxiliary task for learning better representations for reinforcement learning the idea is interesting and is a very active area of research at the moment my main concern is that the ... | this paper introduces atc which is a contrastive learning on observations separated in time to learn representations that do not need to take rewards into consideration these learned representations allow for the first time a real disentanglement between representation learning and control as the agent can simply load ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that batch simulation can accelerate reinforcement learning in 3d environments batch simulation accepts and executes large batches of simulation requests at the same time on one accelerator... | this paper proposes techniques to lower the barrier to run large scale simulations under resource compute constraints the key idea is to do batch simulation and policy learning on 1 or more gpus without sacrificing the fps rate for rendering 20k fps on 1gpu the proposed setup and methods are evaluated on the point navg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides guarantees for goodnessoffit tests whether a given set of samples comes from a given null distribution based on kernel stein discrepancies ksd they construct a test that allows for kernel... | the paper proposes a novel method of statistical tests with kernel stein discrepancy aggregating multiple tests with different kernels the method can avoid data splitting which is commonly used to choose a kernel aiming at better power but may not be effective with a smaller sample size the paper gives theoretical an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an interesting point process named diffusion modulated cox processes which generalizes the stochastic intensity to a stochastic differential equation the variational inference method loo... | the paper presents a stochastic variational inference method for posterior estimation in a cox process with intensity given by the solution to a diffusion stochastic differential equation the reviewers highlight the novelty of the approach some of the concerns with regards to clarity have been addressed by the authors ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a modified version of fedavg by local batch normalization that is tailored for federated learning with noniid data different from most of existing work that consider the unbalanced label... | the paper addresses the problem of batch normalization bn in federated learning which is of great interest to the community including practitioners the proposed method here simply excludes the bn parameters from the aggregation and evolves them locally as a main contribution reviewers particularly liked the solid jus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper generalizes the fingerprinting method of buv14 to exponential families and uses this result to prove lower bounds on approximate dp gaussian covariance estimation and heavytailed mean estimation ... | this paper establishes improved and nearoptimal lower bounds for private statistical estimation specifically for private covariance estimation of a gaussian and heavytailed mean estimation the first result leverages a novel technical result proved in this paper a generalization of the fingerprint lemma bun steinke ullm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
review summary the authors propose an alternative explanation to the fact that convolutional neural networks cnns learn oriented bandpass filters they suggest that it is due to the architecture of neura... | the reviewers raised a number of concerns but the authors provided no rebuttal to the reviewers comments one reviewer felt the experimental fitting was not thorough enough suppose one used layers of oriented bandpass filters separated by nonlinearities would that perform well on the task convnets are trained on the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel model for revealing underlying stimulusresponse patterns in megeeg data the main contributions include a driven temporal point process dripp model that leverages prior work on co... | this paper presents a novel method for identifying simuli induced patterns in meg and eeg signals the authors develop a novel statistical point process model and a fast em algorithm to learn the parameters discussion of this paper centered around how to fit hyperparameters and similarity and comparison with other alg... |
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:
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:
this paper investigates what makes network pruning improve accuracy despite the removal of parameters from the model the authors contend that the folkloric claim about smaller models implying better general... | all the reviewers including the ac agree that the paper makes a significant contribution to the field that deserves publication at neurips the ac refers the readers to the reviews for the discussions on the pros and cons of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
finrlmeta library which provides hundreds of market environments with dynamic datasets from realworld markets a collection of performance of different models on the market environments jupyter notebooks ... | the authors propose a major software framework finrlmeta for testing reinforcement learning rl algorithms on financial data at the core the benchmark contains an extensible set of data sources and market simulation environments and is connected to three stateoftheart deep rl libraries furthermore the authors demonst... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the generative power of contrastive learning from a theoretical perspective to enable the analysis this paper considers the linear model with random masking augmentation training data are... | while the reviewers appreciated the theoretical analysis performed in this work some concerns were raised during discussion such as how relevant the obtained results are wrt current contrastive learning practices and whether the comparison against a simple autoencoder basically pca is fair or insightful the authors res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves a series of identifiability results for commonly used modern generative models composed of gaussian mixture priors and piecewise affine relu decoder networks up to affine or simpler transf... | all three reviewers gave solid recommendations for acceptance authors provided a fairly detailed response to each review each reviewer confirmed they would maintain their positive scores clear accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a paraphrasingtocaptioning p2c framework for novel object captioning noc which is an interesting task overall four modules in two stages are proposed to improve the adequa... | all reviewers appreciated this papers simple and intuitive ideas on promoting fluency fidelity and adequacy in novelobject captioning noc task via paraphrasing modules they also appreciated the good results on multiple benchmarks and also human evaluation plus the good writing the authors also have very detailed useful... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of online learning to bid in firstprice auctions in this problem each round a bidder with some value for the item either fixed over the duration of the bidding or independentl... | the paper studies a regret minimization model of bidding in repeated first price auctions when a noisy hint about the highest competing bid is available the question is whether the availability of such a hint can significantly reduce the best achievable regret the authors give almost matching lower and upper bounds on ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel way to utilize ddpms for point cloud completion they use a conditional ddpm to generate a plausible complete point cloud from pure gaussian noise conditional on a partial subset ... | this paper presents an approach based on conditional denoising diffusion models for point cloud completion the reviewers have recognized the significance of contributions the clarity of presentation and the comprehensivity of experiments i am happy to recommend this paper for presentation at iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deeply investigated the role of topology in decentralized learning instead of the commonly adopted spectral gap in the literature it proposed the effective number of neighbors concept and further... | the paper studies decentralized optimization and considers all machines work on the data that follow the same distribution most of the reviewers think the paper is interesting i recommend an acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall comments novel formulation and good experimental results the method is claimed to be a general solution to pu settings with biased positives however there might be potential issues related to identi... | dear authors thanks for your detailed feedback to and even communications with the reviewers your additional input certainly clarified some of the concerns raised by the reviewers and also improved their understanding of your work however we still think that the notion of sequential bias is unclear and the authors ov... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the contribution the paper addresses the issue of combining datasets from different sources and taking into account the fact that they do not share the same precision it aims at predicting the ... | this paper studies the following broad question how can we predict model performance when the data comes from different sources the reviewers agreed that the direction studied is very interesting while the results presented in this work are promising several reviewers pointed out some weaknesses in the paper including ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a regularization term in gans to both improve training stability and remedy mode collapse the approach as i understand it is the follows real images are encoded into a latent represen... | nominally the scores on this paper were pretty split in reality i concur with the 2 and the 3 the 6 acknowledges being unfamiliar w the gan literature and i think the 7 is being too permissive about the baselines the empirical evaluation here is simply not up to par for a major machine learning conference as revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes the algorithm adarl a transfer method for reinforcement learning for different domains the method is based on learning a latent representation with domain shared and domain specific compo... | the authors present a method called adarl that learns a structured latent representation that characterizes relationships between different variables in an rl system the method is evaluated on modified pong and cartpole domains and it is shown to outperform other transfer learning baselines the reviewers agree that the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the efficient vision transformers the authors proposed the hilo attention which combines the windowbased selfattention and spatial reduction selfattention the experimental results on serv... | initially this paper received diverging reviews the authors did a good job addressing the reviewers concerns by adding additional comparisons to more sota vit backbones and benchmarking throughput on a variety of gpu platforms the ac agrees with the reviewer that the concerns have been sufficiently addressed and recomm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors study the problem of finding learning the best neural network initialization and propose gradcosine a measure of fitness for neural network initialization based the similarity between individual sa... | the paper introduces a new procedure to initialize the optimisation in training process of dnn models including the recent vit architecture all the reviewers recommend acceptance and appreciate the promising empirical results backed by the strong theoretical foundations ac recommends acceptance as well |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of finding stationary points in nonconvex settings that are not saddle points ie satisfies second order optimality it proposes two negative curvature finding ncf frameworks t... | this paper designs new algorithms for finding second order stationary points using only function value queries 0th order information the main novelty is in designing two approaches for negative curvature finding the new subroutines can be used in a wide range of algorithms for finding second order stationary points mos... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presented in this paper relates to the impact of the dataset on the performance of contextual embedding namely elmo in this paper on many downstream tasks including glue tasks but also alternative ... | this paper presents an extensive empirical study to sentencelevel pretraining the paper compares pretrained language models to other potential alternative pretraining options and concludes that while pretrained language models are generally stronger than other alternatives the robustness and generality of the currently... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the dual formulation of a two layer neural network which makes the loss for training convex the convexity guarantees the global optimality of training step compared to training on the pr... | this paper is motivated by figuring out what regularization do popular neural network reconstruction techniques correspond to in particular this paper studies a convex duality framework that characterizes the global optima of a twolayer fullyconvolutional relu denoising network via convex optimization the authors use t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper designs a generalized autoregression method gar and its efficient implementation cigar to deal with nonstructured highdimensional outputs and nonsubset multifidelity data the result shows their m... | this paper considers the problem of multifidelity fusion using generalized autoregression the authors especially take on problems such as highdimensionality and nonsubsetness with this approach the reviewers agree that the paper is well written and makes a significant contribution to mffusion i recommend acceptance and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post rebuttal updatecomment i thank the authors for the revision and have updated the score twice one genuinely perplexing result to me is that the method behaves better than random pruning yet after sele... | this method proposes a criterion snip to prune neural networks before training the pro is that snip can find the architecturally important parameters in the network without full training the con is that snip only evaluated on small datasets mnist cifar tinyimagenet and its uncertain if the same heuristic works on larg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper used the family of lpnested distributions as the prior for the code vector of vae and demonstrate a higher mig the idea is adopted from independent component analysis that uses rotationally asymme... | the paper proposes to improve vae by using a prior distribution that has been previously proposed for independent subspace analysis isa the clarity of the paper could be improved by more clearly describing the proposed method and its implementation details the originality is not that high as the main change to vae is r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to solve the continuous optimal mass transport problem as a convex mapping function estimation problem based on breniers theorem using input convex neural networks the proposed method is... | this work proposes to define densities via the pushforward of a base density through the gradient field of a convex potential as studied in ot theory and in particular inspired by breniers theorem more concretely it proposes to use icnns to parametrize the convex potentials and considers two mechanisms to match a targ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
although lottery ticket hypothesis has suggested an exciting corollary about the winning tickets it is still unclear why winning ticket universality exists or any way of knowing a priori in this paper autho... | this paper observes the similarity between the universality in renormalization group and the lottery ticket hypothesis and proposes that the iterative magnitude pruning which is used to find the winning tickets could be a renormalization group scheme the authors also provide some evidence on their theory on vision mode... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary motivated by the fact that rl algorithms are notoriously sample inefficient from pixels and that humans use attention the authors propose attentiondriven robotic manipulation arm which they claim ... | this paper proposes a general manipulation algorithm for tasks that have sparse rewards the algorithm uses a qattention to extract interesting pixel locations with an explicit attention module a data augmentation method is also proposed to generalize expert demonstrations while the proposed method and experiments see... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper explores the problem of generalizing to novel combinations of verbs and nouns in a task for captioning video stills from videos about cooking the paper introduces a new dataset based off... | the authors propose a new dataset and compositional task based on the epic kitchens dataset the goal is to test novel compositions and to build a transformer based network specifically for this inference by analogy specifically the analogy here references the use of nearest neighbors in the dataset there are a lot of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose to use orthogonal multipathomp block to improve the adversarial robustness of deep neural networks they introduce three types of omp ompabc based on where the omp block is l... | i thank the authors and reviewers for the lively discussions although reviewers mentioned the work has potentials to improve adversarial robustness they agreed that the current draft needs a bit more work specially to strengthen its experimental results and comparisons with related works |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting data set aimed at testing neural language models capability for natural language ethics determining which natural language statements are more ethical than others its an... | the main contribution of this work is introducing large and carefully curated datasets for benchmarking morality judgments of language models first of all id like to thank the reviewers for their detailed and thoughtful reviews and for being engaged in discussions with the authors we believe that the paper is now much ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a simple and elegant approach to learning gridcell like representations that uses a highdimensional encoding of position together with a matrix for propagating position that involves onl... | the authors have presented a simple yet elegant model to learn gridlike responses to encode spatial position relying only on relative euclidean distances to train the model and achieving a good path integration accuracy the model is simpler than recent related work and uses a structure of disentangled blocks to achieve... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles fewshot classincremental learning fscil problem which is designed to incrementally recognize novel classes with only few training samples after the pretraining on base classes a dilemma e... | this work studied the fewshot classincremental learning in the marginbased classification it presented a deeper analysis about the dilemma between the baseclass and novel class performance from the perspective of positive and negative patterns corresponding to positive and negative margins although this dilemma had bee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on fast adaptation to new behaviour of the other agents of the environment be it opponents or allies to achieve this a method based on maml is proposed with two main components 1 learn a ... | the paper extends maml so that a learned behavior can be quickly sampleefficiently adapted to a new agend allied or opponent the approach is tested on two simple tasks in 2d gridworld environments chasing and path blocking the experiments are very limited they do not suffice to support the claims about the method the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a bootstrap framework to study the generalization problem of deep learning by decomposing the traditional test error into an ideal world test error plus the gap between empirically it de... | the paper is proposing a new framework for understanding generalization in the deep learning the main idea is considering the difference of stochastic optimization on a population risk and optimization on an empirical risk the classical theory considers the difference of empirical risk and population risk this basicall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a language modeling framework pixel2seq for object detection the authors cast object detection as language modeling tasks that use a sequence of tokens x1 y1 x2 y2 c to describe the boun... | this paper proposes an elegant approach to object detection where an encoder network reads in an image and a decoder network outputs coordinate and category information via a sequence of textual tokens this method does away with several object detection specific details and tricks such as region proposals and roi pooli... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies a method to perform non linear ica where the observed signals x are a nonlinear mixing of two independent variables the sources s and the observed condition t x fs t the goal of the probl... | thanks to the authors for this submission which tackles an interesting and widely appearing problem with a novel approach the reviewers agreed that the submission is very well written motivating the problem and detailing their approach quite clearly we also thank the authors for their thorough responses to reviewer ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a contrastive learning approach for selfsupervised learning in which multiple heads are trained to be invariant to all but one type of data augmentation the rationale is that d... | there was a predominantly positive feedback from the reviewers so i recommend acceptance of the paper it is wellwritten and wellmotivated tackling an important problem that in selfsupervised learning one might encode different invariances by default even if some of these invariances are useful for downstream tasks eg b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the use of sequential information stateaction pairs for enhancing imitation learning and using recurrent networks lstm in that process the authors motivate this by pointing out that w... | this paper explores the use of sequential information to improve imitation learning essentially using recurrent networks lstm instead of a simple nn in several existing imitation learning models bc gail etc on the positive side the empirical results are good showing improvement in terms of attained rewards convergence ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a new vaebased generative model for generating molecular conformations from graphs the whole formulation and training objective are similar to existing vaebased models like cvgae and the ... | the paper proposed a new vaebased generative model for generating molecular conformations from graphs reading the paper the reviews and the rebuttal it looks like this project is a work in progress and not yet ready for publication some reviewers indicate that the paper lacks significant technical novelty this is a w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors investigate the gradient calculation in the original maml finn et al 2017 and emaml alshedivat et al 2018 by comparing the differences in the gradients of these two algorithms the... | the paper studies the credit assignment problem in metarl proposes a new algorithm that computes the right gradient and demonstrates its superior empirical performance over others the paper is well written and all reviewers agree the work is a solid contribution to an important problem |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explored the oversmoothing problem in bert from the perspective of graph in detail empirical analysis first has been provided for demonstrating oversmoothing exist in bert then the authors theore... | this paper has a deep analysis of the oversmoothing phenomenon in bert from the perspective of graph oversmoothing refers to token uniformity problem in bert different input patches mapping to similar latent representation in vit and the problem of shallower representation better than deeper overthinking the authors bu... |
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