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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pie extend nice and real nvp into situations which require having a smaller dimensionality of the latent variable d compared to the dimensionality of the observed variable d ie d d this is done by learning... | the presented approach demonstrates an invertible architecture for autoencoding which demonstrates improvements in performance relative to vae and waes on mnist pros r3 the idea of pseudoinversion is interesting r3 manuscript is clear cons r123 additional experiments needed on cifar imagenet others r1 presentat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers to attack an nmt system from the perspective of efficiency at a high level it aims to slightly modify the input such that the target nmt system outputs a long translation leading to dec... | the papers studies a novel problem and proposes an interesting algorithm that said the reviewers question the motivation of the paper that is whether this method presents a viable attack on existing mt systems the attack is not black box and mt systems often have an output length threshold beyond which the output is tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for introducing prior knowledge into transformer models more specifically the authors propose to use an additional selfattention block to incorporate prior knowledge about the w... | this paper proposes to incorporate additional prior knowledge into transformer architectures for machine translation tasks the definition of problem is reasonable despite the fact that there is a long thread of work on adding knowledge of different types into neural architectures of nmt the proposed model however need... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper looks into the three existing privacy protection mechanisms for edgecloud collaborative inference systems and proposes an antidefense method dubbed sensitive feature distillation sfd which simult... | the paper presents a new model inversion attack for edgecloud learning which is shown to overcome existing defenses against model inversion in such scenario the attack is based on sensitive feature distillation sfd which simultaneously uses two existing techniques shadow model and featurebased knowledge distillation th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deals with the very challenging and important problem of designing graph neural networks gnns that are more expressive the authors propose a new gnn framework that injects structural information ... | this paper proposes an efficient method for message passing that can incorporate structural information that is provably stronger than 1wl as compared to three strands of provably powerful more than 1 wl gnns the method has limited additional computational overhead and can also show encouraging results on the over smoo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript attempts to analyze the asymptotic behavior of heavyball method stochastic gradient with momentum and an algorithm that combines the heavyball method with a coordinatewise preconditioning si... | following a recent line of work on the implicit bias of learning algorithms the authors consider optimization methods that incorporate momentum the reviewers found the topic timely and interesting and generally appreciated the novelty of the technical contributions in the work however several critical issues concerning... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide a solid argument about how neurobe is reducing timespace complexity i appreciated how quantities like the sample complexity etc were connected to the induced width eg eq 2 and 3 suffi... | meta review all reviewers generally appreciated the paper there is some room for improvement in the presentation with feedback provided by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to generate valid counterfactual examples cfe in a dynamic setting where the model can be retrained in the test time the goal is to minimize the invalidation rate different from previous wor... | most of the discussion centered around whether the underlying question in the literature is setup correctly in terms of its relationship to causality as the question being asked is one of an intervention the underlying literature makes an attempt at not including things that cant be intervened on like age but the setup... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses failure cases of deep disentanglement models it focuses specifically on their ability to deal with combinatorial generalization ie to disentangle at test time attributes that are presente... | all reviewers acknowledge that the paper conducts an extensive study of the combinatorial generalization of models and the additional experiments on cascadevae and liegroupvae conducted by the authors convinced the reviewers despite the lack of a proposed solution i believe this paper provides novel interesting insight... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes algorithms that compute personalized pagerank ppr under edge differential privacy dp and extends the algorithms to compute graph embeddings the paper studies an interesting problem and is... | paper studies computing ppr in differential privacy setting given the importance of ppr in real world applications we recommend accepting the paper as it brings an important problem to the dp community however we encourage authors to incorporate the comments from the authors make sure that all the details of the proofs... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors a method that lies in the intersection of two subfields of rl namely openendedness and unsupervised skill discovery specifically they introduce a method called rewardless openended ... | i thank the authors for their submission and active participation in the discussions this papers is borderline with the majority of three reviewers leaning towards rejection and one leaning towards acceptance all four reviewers unanimously agree on the empirical validation being a major weakness of this paper with revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new reward shaping method eager in languageguided reinforcement learning rl by extracting auxiliary question answering qa tasks the agent is given intrinsic rewards based on how the g... | this paper presents a languageguided auxiliary reward mechanism based on generating qa pairs based on agent trajectories and rewarding the agent for producing trajectories that yield correct answers from an answering model the reviewers broadly found the paper compelling and convincing and thus i am happy to follow the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper modifies the selfattention mechanism in transformers to function at the phrase level rather than at the token level as a means to improve alignments between input phrases and logical form predicat... | this paper proposes an attention mechanism that works at the phrase level for semantic parsing reviewrs agree that the idea has been previously explored outside semantic parsing that the gains should be shown on less saturated datasets and that there are issues in the experimental design observing test set results for ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for unsupervised image denoising it shows that a better designed operator based on domain knowledge can benefit unsupervised image denoising task the provided experimental resul... | this paper focuses on unsupervised image denoising and proposes a method to do so it shows that using a designed operator based on domain knowledge can help improve unsupervised image denoising the authors also provide experimental results demonstrating that the proposed methods outperform existing unsupervised denoisi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method of representing knowledge graph nodes and relations by sampling paths and applying a sequence model the approach is motivated by recent advances in building contextualized word ... | the paper introduces a simple and effective approach to obtaining entity embeddings relying on rnnencoded walks and elmo style losses the approach works well is simple and wellmotivated while the underlying principles have been studied eg rnn embeddings of walks or learning representations relying on walks as in deep... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a distributional rl algorithm that based on sinkhorn divergence it derived the theoretical guarantee for sinkhorn divergence with the distributional bellman operators and evaluated empir... | all reviewers acknowledged that this paper is an interesting contribution to the distributional rl literature some concerns brought up by reviewers in their initial reports included issues with the statement of theorem 1 a nonstandard evaluation protocol for the atari experiments and that some claims were overly strong... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provide each bound and its connetions on pinn deeponet fno physicsinformed deeponet and physicsinformed fno these general connections are also applied to show that the neural netwo... | the paper studies approximation error bound for physics informed neural networks and operator learning the result is technical sound and useful for practical applications the authors also adequately addressed concerns by the referees the metareviewer recommends acceptance of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors have explored the capability of box embeddings to model hierarchical data and have demonstrated that it provides superior performance compared to alternative methods requiring less of the transi... | reviewers unanimously appreciated this paper please do take into account their feedback to improve the paper from our perspective the paper is not written in a scholarly fashion there is so much work on hierarchical models learning embeddings of trees and why not give credit to these people please expand your related w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper addresses the problem of outofdistribution detection for helping the segmentation process therefore the detection is performed on a pixel basis the application of the approach is to datas... | the paper addresses the problem of outofdistribution detection for helping the segmentation process the reviewers and ac note the critical limitation of novelty of this paper to meet the high standard of iclr ac also thinks the authors should avoid using explicit ood datasets eg ilvrc due to the nature of this problem... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach for automatic speech recognition based on mlp architectures those architectures were recently proposed for image classification and yielded promising results in this paper th... | this paper adopts the recently developed mlpbased architectures for image classification to automatic speech recognition with 3 different modifications to handle variable length sequences the three architectural modifications are cmlp w depthwise convolution tsmlp w shift operator and fmlp w fourier transform and wo ga... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in the semisupervised selftraining setting this paper proposes to select a certain subset of unlabelled data for training rather than all unlabelled data where the ensemble of confidence scores of t... | reviewers have concerns about poor writing of the paper lack of technical novelty and the methodology taken by the paper not being very principled |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a characterization of failure modes of gaussian vaes it is known that gaussian vaes can fail to produce good models either by failing to match the data distribution or by learning... | this paper investigates various pathologies that occur when training vae models there was quite a bit of discussion including private discussion between the reviewers about the theory presented particular concerns included for theorem 1 while the required conditions formalise the setting in which the learned likelihood... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a continuous time version for fast weight programmers family of sequence classification models it presents continuous time analogues to hebbian learning rules it introduces continuous tim... | a novel blend of linear transformers and fast weight programmers is proposed where slow weights generate an embedding and learning rule parameterizations of a neural ode based evolution of fast weights of another network the new architectures appear to provide superior performance on several benchmarks in comparison to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper extends the variational autoencoder framework with a richer prior distribution to model more complex correlations in the latent variable distribution they start with a gaussian mix... | all three referees have provided detailed comments both before and after the author response period while the authors have carefully revised the paper and provided detailed responses leading to clearly improved clarity and quality there remain clear concerns on novelty at least not sufficiently supported with ablation ... |
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 generic system for performing oneshot audiovisual synthesis from only one small sample the results are impressive for inthewild speech synthesis and their approach could ... | this paper proposes and investigates an approach for audiovisual synthesis based on the socalled exemplar autoencoders the proposed approach is shown to be able to convert an audio input to audiovisual outputs using only very small amount of training data all reviewers consider the paper interesting with a lot of pot... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors describe the construction of a 16tb multilingual text dataset purposely built for training large language models the work has been valuedriven and is inclusive of diverse language families and m... | this paper describes the creation of the bigscience corpus used to train the bloom model the paper describes steps taken to curate and construct the corpus as well as analysis of what it contains this is an impressive effort and blazes a trail among such data collection and governance efforts reviewers appreciate the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
as i think the authors do not respect the neurips reviewers i just copied what they write in the abstract we find a biologically plausible spiking model realizing efficient coding in the case of a general... | this paper proposes a derivation of spiking networks from an efficient signal reconstruction cost function the derivation leads to more biological features than previous ones including fast and slow synaptic currents and rebound currents this is a nice addition to the growing literature in this field the negative rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper derive a continuous model for sgd in linear regression settings to build understanding on some interesting phenomenon of deep neural network trained with sgd strength 1 the theoretical results ... | the authors study the limiting dynamics of a simple linear regression model they use an underdamped langevin equation which is quite common in the literature although the reviewers welcome the direction and the attempt to understand the dynamics of a simple model the novelty of the paper is limited as an example the pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work generative models using a gp as prior and a deep network as likelihood gpdgms are considered in the vae formalism for inference the novelty of this paper is located in the encoder it is sparse ... | the paper proposes a method for inference in models with gp priors and neural network likelihoods for multioutput modelling dealing with the problem of scalability and missing data the paper builds upon previous work on inducing variables for scalability on gp models and inference networks for amortization reducing the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors regarded the rating prediction as a reconstruction problem with a smoothness assumption they proposed two approaches for smoothly reconstructing the preference function of... | this paper mostly received negative scores a few reviewers pointed out that the idea of modeling user preference in the frequency domain seems novel and interesting however there are a few concerns around the clarity of the paper the motivation of the proposed approach as well as the experimental results being unconvin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to alleviate the effect of popularity bias and noisy useritem interactions in graph convolutional networks gcns for recommendation to this end the authors propose a gcnbased recommender metho... | all reviews were on the side of acceptance but opinion varied from borderline to strong acceptance several aspects of the paper were appreciated the problem was considered important and the model and its technical ideas were considered interesting the model and its components were considered clearly motivated the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper lists a general approach to compare probability distributions in particular it generalizes the approach by citepaty and cuturi 2019 to include arbitrary projections in my mind the idea of the pap... | we thank the authors for their submission the paper feels more like an early draft with several fundamental factual mistakes mistake on computational and statistical complexities as highlighted by the reviewers theres plenty of material in the reviews to help authors improve their submission we encourage them to use th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper demonstrates how neural ode models generating features for downstream tasks or simply modelling trajectories may rely on the discreteness of integration methods to generate features... | the paper considers whether neural odes have a valid interpretation as an ode showing that such an interpretation is not correct unless the discretization is chosen properly this is important given interest in neural odes as models as well as they way they will be used both for problems involving physicaltemporal data... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to improve dataefficiency of dqn specially the rainbow dqn by training the reinforcement learning agent to jointly minimize the dqn loss and a loss for multistep predictions on ... | the authors propose self predictive representations predicting the agents own future latents of a forward model with data augmentation as a means of improving the data efficiency of agents the reviewers found the paper to be compelling after the authors made adjustments and pointed out that the method is likely generic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to tackle the maximal clique problem in graphs with a hybrid method that relies on a scattering step as well as a rulebased decoder step to extract the predicted maximal clique overall th... | all reviewers agree that the proposed approach to use the geometric scattering transform is simple and effective both computationally and in terms of the ability of the method to identify larger cliques for the maxclique problem except perhaps for one reviewer on the last point the work would have more impact if it co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a clean label dataset poisoning attack to embed backdoors into deep neural network image classifiers their approach is based on training many surrogates models for generating poisoned exa... | this paper introduces a clean label poisoning attack to backdoor neural network models the reviewers unanimously voted to accept this paper and i agree it is a strong technical paper that is well written the experiments were initially limited in some areas but the authors rebuttal addresses many of these concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors exploit the expressive power of copula mixtures to model timevarying multimodal data and employ gaussian processes to model the timevarying copula parameters they demonstrate the efficacy of the... | summary the authors built on existing work of gp vine copula models some modifications are made to conditional marginals and mixing applications to mutual information estimation are discussed and evaluated and the approach is applied to joint neuralbehavioral data discussion strengths mentioned in the reviews are tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies how to mitigate the gap between adversarial training and clean training by finding the optimal epsilon they first validate the phase transition boundary in simple linear regression model t... | reviewers all agree that the theory in the paper is interesting and that it helps us understand the robustness accuracy tradeoff several reviewers raise the issue that they are unsure about how phase transition is defined in this article and whether the observed behavior is indeed a phase transition in a typical sens... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the idea of boosting for reinforcement learning it presenting a boosting algorithm which outputs a policy by aggregating the policies suggested by a number of weak learners the sampl... | this paper introduces a boosting approach for rl rl is reduced to a supervised learning problem the proposed method implements the frankwolfe algorithm where the objective is the value function is nonconvex the weak learners are used approximately and efficiently solve the problem the paper gives a sample complexity bo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel architecture to predict an individual patients lab response and provide supporting evidence about predicted risk for use in a clinical decision support tool the authors also claim... | the paper uses several types of information to predict one specific lab test response for patients the predictions are made by combining and tailoring mainly existing techniques the reviewers raised a number of concerns and the authors clarified many of them and provided additional results in particular the following ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of learning text generation models using reinforcement learning the problem is challenging in that rl algorithm becomes inefficient or unstable when dealing with large actio... | this work proposes an approach to improve nonml based methods of text generation it reformulates the problem with the soft qlearning approach from rl instead of standard hard rl formulations from previous text generation work by doing this the work allows application of path consistency learning this is an elegant form... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to address object detection from lidar point clouds the key idea is to train a densify network that can densify 3d features in a sparse point cloud so that they match the quality of the 3d f... | this paper proposes to utilize point cloud completion tools to densify sparse point clouds which could subsequently improve the performance of point cloud detection methods after rebuttal reviewers agree on the novelty of the method and its effectiveness on the waymo open dataset ac recommends this paper for acceptance... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of obtaining more compact cnns by a parameter sharing method the authors propose to represent a weight filter in a lowrank subspace represented as a linear combination of lo... | i agree with the concerns raised by the reviewers in particular the issues of novelty and experimental evaluation mentioned in the revision summary remain the major weak points of the paper my impression is that the changes made in the revision represent a significant experimental addition to the paper one which might ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an unsupervised rgb saliency detection model to learn from the pseudolabels given by the traditional handcrafted approach to enhance the quality of the pseudo labels the author proposes ... | the paper received two accepts and 1 marginally above acceptance recommendations the authors provided satisfactory answers mostly on clarifying the unsupervised learning methodology in conjunction with the maa recommendation i recommend the paper be accepted as poster |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzed the empirical rademacher complexity of polynomial nets the coupled cpdecomposition ccp and nested coupled cpdecompositionncp nets the corresponding lipschitz constants for both models ar... | this paper considers generalization of polynomial networks it gives a characterization of the rademacher complexity as well as lipschitz constants for polynomial nets inspired by the theoretical results the paper also proposed regularization schemes that empirically improves accuracy and robustness most reviewers found... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a quantum neural tangent kernels qntk approach for gnns the qntk is based on gntk which is briefly covered by the authors and qntk is supposed to offer an accelerated version of gntk thr... | the authors propose a quantum neural tangent kernels qntk approach for gnns the paper shows promising results of using quantum computing to speed up computations for graph data this is a novel idea and the paper presents solid theoretical and empirical evaluations thus the ac recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper claims that when given a relational database that is normalized we dont need to explicitly create the design matrix by denormalizing the data and then sample them with the coresets in other world... | the paper considers the problem of coresets construction over relational data where the data is decoupled into several relational tables and it is expensive to directly materialize the data matrix by joining the tables the paper addresses this problem by proposing aggregation tree with pseudocube that builds a coreset ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the fixed point solution of standard modelfree valuefunction optimization algorithms in rl in particular td residual gradient and fitted value iteration in the overparameterized setting m... | this paper presents a study of the over parametrization of linear representations in the context of recursive value estimation the reviewers could not reach a consensus over the quality of the paper with a fairly wide range of scores even after the rebuttal after considering the paper the rebuttal and the discussion ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
verifying the properties of neural networks can be very difficult instead of finding a formal proof for a property that gives a truefalse answer this paper proposes to take a sufficiently large number of s... | strengths the paper addresses an important topic how to bound the probability that a given bad event occurs for a neural network under some distribution of inputs this could be relevant for instance in autonomous robotics settings where there is some environment model and we would like to bound the probability of an ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a globally normalized speech recognition model the model consists of two finitestate acceptors one that provides context reminiscent to a language model and the other that provides the a... | reviewers acknowledge that this paper has good contributions including solving label bias problem mitigating the performance gap between the streaming and nonstreaming systems and proposing a unified wfst theoretical framework which should have value to the asr community however reviewer j8qd reported that heshe did no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper combines fine and coarsegrained tokenizations to learn word and phraselevel representations the authors introduce two variations on ambert 1 using two separate encoders for fine and coarse and 2 c... | this paper suggests extending pretrained contextual language models to use both finegrained and coarsegrained tokenizations of the sentence a sentence is tokenized twice and then each is passed through a transformer block with shared parameters except the embeddings having 2 granularities shows gains pros easy to re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper contributes to the growing body of work on selfsupervised representation learning approaches it appears to have a strong theoretical foundation based on the concept of predictive information the r... | the paper combines a few different ideas for representation learning on sequential data and is able to achieve competitive wer on the librispeech asr dataset i appreciate the fact that the authors engaged with reviewers and tried to improve the paper while i get a sense that the final system has many moving parts i bel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes moving along the level set during an optimization problem doing so may lead to faster gradient iterations and is proven and shown empirically a few examples of symmetries are discussed m... | this paper proposes a novel symmetry teleportation approach to optimize the parameters of ml models the proposed approach allows iterates to move along the loss level set and improves the convergence speed the teleportations also exploit the symmetries that are present in the optimization problem the paper also includ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for distilling a lowcompute object detector contrary to prior work which used a more standard object detectortoobject detector distillation approach where object detectors were m... | thanks for the responses my key concerns are still there 1 for the localization distillation loss almost does not work i meant that lockdloc has no clear improvement 01 over loc so there is no evidence of the significance of the localization distillation approach the contribution over the standard classifiertoclassi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a generalized additive model to learn joint intensity functions for multiple poisson processes the main contribution is to consider the partial order of highorder interactions when param... | this paper proposes a method for modeling higherorder interactions in poisson processes unfortunately the reviewers do not feel that the paper in its current state meets the bar for iclr in particular reviewers found the descriptions unclear and the justifications lacking while the responses did aid the reviewers under... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the results of a nn trained to learn symmetries in physics specifically to learn and preserve quantities that are preserved eg energy angular momentum the input is a sequence generated f... | this paper proposes to learn symmetries of a physical system jointly with its hamiltonian from data by learning a canonical transformation that render some of the coordinates constant the hamiltonian dynamics and canonical transformation are softly enforced via loss terms a few experiments are performed demonstrating t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes unigan a new approach to alleviate mode collapse in gans assuming the manifold hypothesis the authors motivate training a generator with uniform distribution over the data manifold m the... | this paper proposes unigan to alleviate mode collapse in gans they encourage the uniform distribution by arguing that samples on the manifold are equally accepted as real samples for training gans the paper is comprehensive in both theory and experimental results it receives average rating score 6 leading to an accep... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for meanvariance tradeoff optimization in rl the method named equmrl tries to optimize the pareto efficiency by maximizing the quadratic utility function the proposed method mit... | this is a borderline paper with some reviewers voted for acceptance and some think it is not still ready what is clear is more efforts by the authors is needed to make the paper appealing to reviewers with different interests changes such as better writing more in depth literature review more convincing experiments can... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel efficient approach for domain adaptation by introducing a domainmodulation operation enabling finetuning by optimizing a compact parameter space this domain modulating operation ... | this paper presents a domain adaptation technique to finetune a gans generator by using a small number of domain modulation parameters this makes finetuning a pretrained gan to different domains very efficient while not sacrificing upon the generation quality the paper received generally positive reviews there were so... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission is a comprehensive rethinking and assessment of the research in modular network it develops a series of benchmarks and metrics to evaluate the benefit of existing works using modular architec... | this study investigates modular architectures their properties and their effectiveness in a class of synthetic yet informative scenarios the reviewers unanimously recommend this paper for acceptance some of them with high praise and i enjoyed it as well i suspect it will be read widely and have a lasting impact on our ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
c1 open set learning which is a task of classificing data over the known categories but that are ood is widely studied in 2d in contrast there were no 3d dataset or benchmarks that attempt to solve the ope... | this work for the first time proposes to study the task of open set 3d learning for 3d point cloud data the authors have conducted extensive experiments under different settings with varied category semantic shifts and provided comprehensive experiments benchmarking the popular methods from 2d open set learning which l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a defense against spatially transformed adversarial inputs and give the two main results on possibility still possible to construct adversarial training methods to improve robustness and... | this paper conducts a study on provable defenses to spatially transformed adversarial examples in general the paper pursues an interesting direction but reviewers had many concerns regarding the clarity of the presentation and the depth of the experimental results which the authors did not address in a rebuttal |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes and evaluates several different measures for evaluating reward learning the authors provide a theoretical worstcase analysis showing limitations of common measures and provide empirical ... | post discussion update the authors completed a rebuttal that addressed all of the reviewers critiques and also uploaded a revised and improved manuscript the most significant improvement seems to be the addition of a small related work section in the introduction and a limitation plus future work section at the end o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submitted paper proposes gulp a family of dissimilarity measures between representations gulp is based on the squared error between predictions of a ridge regression solution on the two representations ... | all reviewers are in agreement that this is an interesting theoretical and empirical contribution and a useful tool in better understanding neural networks |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe paper presents a tensorbased framework to improve robustness of gnns by denoising the adversarial graphs by leveraging the lowrank and feature similarity properties of graph data the authors use t... | this paper has been reviewed by four reviewers with three borderline scores leaning towards an accept and one clear reject reviewers have raised a number of issues they feel that the paper is borderline as the paper may not have great novelty due to the use of lowrankness even though it is used for the lowrank tensor a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper revisits the common practice of computing training data influence especially methods for computing the influence only from the last layer and investigates improving the estimation of examples inf... | this paper studies an important problem of identifying influential training examples it exposes a potential shortcoming in prior work of focusing on the last layer and proposes an alternative method the approach cleverly assures looking at word overlap via overlapping word embeddings while still aggregating high level ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose combining adamlike perfeature adaptative and nesterovs momentum even though nesterovs momentum is implemented in major frameworks it is rarely used so theres an obvious question of practical... | dear authors the reviewers pointed out a number of concerns about this work it is thus not ready for publication should you decide to resubmit it to another venue please address these concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper derives various types of graph embeddings to encode aspects of syntactic information that the brain may be processing during realtime sentence comprehension these embeddings along with indicators... | this paper explores the brains activity in response to language specifically targeting the signatures of syntax in the brain the authors specifically investigate the signatures of specific syntactic elements against the typical effort based syntax measures from some previous work the title and abstract of the paper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors define the notion of costsensitive robustness which measures the seriousness of adversarial attack with a cost matrix the authors then plug the costs of adversarial attack into the objective of ... | this paper studies the notion of certified costsensitive robustness against adversarial examples by building from the recent wong koller18 its main contribution is to adapt the robust classification objective to a costsensitive objective that weights labelling errors according to their potential damage this paper rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new system identification and model predictive control method based on neural networks for nonlinear dynamical systems the basic idea behind the proposed method comes from subspace ide... | the paper uses neural networks for system identification the novelty of its contributions seems to be marginal and the demonstration of its usefulness is not experimentally validated well enough |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduced a reinforcement learning algorithm that simultaneously optimizes the design as well as the controller of a simulated robot to perform locomotion tasks the core idea is to train a condit... | the paper considers the problem of learning both the physical design morphology and parameters of a robot together with the corresponding control policy to optimize performance at a target task unlike several contemporary methods that formulate this as two separate but coupled optimization problems the paper unifies th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper aims to evaluate whether perturbation methods for explainable deep learning generates outofthedistribution ood samples which can weaken the explanations provided by these methods basically ... | the paper questions perturbation methods as a means of extracting explainable information about a learner focusing on the hypothesis that perturbation may create out of distribution examples to this end the paper introduces the hermitry ratio to detect such out of distribution samples the reviewiers have raised the fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework of a unified recommendation system which balances the compression degree of the model and the accuracy of the model by compressing the embedding layer model while optimizing ... | existing works mostly focus on model compression for the classification task this paper aims for an efficient recommendation system that can well balance the model compression and model accuracy which therefore brings in new challenges and opportunities the authors propose to unify the model compression and feature emb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a path integral sampler based on schrodinger bridge they turn the sampling problem into a stochastic control problem and use a neural network to parameterize the control policy in order ... | this paper introduces a controlbased approach to sampling all of the reviewers found the idea interesting there were serious concerns by some of the reviewers regarding how the paper positioned itself relative to the literature how it designed baselines for experiments and how it compared itself to existing methods the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work investigates an observation that certifiably robust neural networks flag inputs for which local robustness checks fail but are classified consistently with all valid inputs within a distance of ep... | the work focuses on the observation that given a certified epsilonrobust model and a certified clean input x many inputs within the epsilon ball around x are themselves not epsiloncertifiable although they are correctly classified the authors argue that an adversary can exploit this property to produce inputs which are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for generating tactile data for objects using a conditional gan with training data coming from nerf trained on comparatively small amounts of rgbd data but separately for each ... | the paper proposes a combination of nerfs and cgans as a means to generate synthetic but realistic tactile data as would be seen from optical tactile sensors such as gelsight this is in order to save time on data collection for learning downstream tasks that operate on optical tactile data the reviewers agree that th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work investigates how pretraining distributions induce robustness in imagetext models they use contrastive languageimage pretraining clip as a case study and evaluate it with six publicly available dat... | this paper studies the effect of pretraining data on the robustness of pretrained visionlanguage models such as clip both empirical and theoretical results are provided to show that simple scaling may not always improving robustness this is a timely results that shed light on how to perform better pretraining to improv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
inspired by the asymptotic stability of the general nonautonomous dynamical system the asymptotic stability will reduce the adversarial noise to bring the adversarial instance close to the clean instance mo... | the paper studies the problem of enhancing neural network robustness from a dynamic system perspective to this end the authors proposed a nonautonomous neural ordinary differential equation asode that makes clean instances be their asymptotically stable equilibrium points in this way the asymptotic stability will reduc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a set of benchmarks consisting of datasets and metrics for physicsinformed graph neural networks gnns for dynamical systems in particular they examine and compare the efficacy of hamilto... | this paper evaluates the use of physicsinformed gnns for modeling dynamical systems by simulating them and explores the properties that are beneficial for achieving enhanced performances with them the main concerns of the reviewers from the initial version have been addressed during the rebuttal and discussion periods ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses relationships between sgdmomentum and discretized pdes to suggest a new version of sgd with added diffusion term the authors provide a stability criterion for the strength of diffusion a... | reviews were positive and reviewers were eager to hear more about the work the reviewers also had many questions and comments which the authors may wish to address to maximize the accessibility and impact of their poster |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the rl setting with external forced termination and defines a new type of mdp the termination mdp or termdp the authors propose a theoreticallygrounded method which is well suited to thi... | all reviewers are in agreement that this paper should be accepted it combines clear writing a wellmotivated setting external termination due to unobserved accumulation of costs and sound theoretical analysis with a novel algorithmic contribution termpg that performs well on an interesting domain that aligns well with t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes star temporal classification stc an extension of ctc particularly designed when only partial labeled supervision is available strength modeling when partial label is available is an int... | this paper is right on the border im going to mark this as accept as the only reviewer marking reject is due to limited evaluation but i believe the evaluation is ok as do the other two reviewers the idea is interesting and novel and the paper is well written |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses how to introduce some form on nonlocal structural information into the node representations by collating cluster similarity information from a topological subspace clustering with a clas... | one referee recommends acceptance while three referees recommend rejection all referees agree that augmenting gat with structural information is an interesting direction to explore however they raised concerns about the empirical validation of the method the related work covered as well as the discussion of insights su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
let me preface my review by saying that im not an expert in nlp nor philosophy of causality or any kind for the matter i do however consider myself pretty well versed in machine learning and its intersectio... | this paper wholeheartedly adopts the potentialoutcomes approach to causality and causal inference the holland 1986 slogan of no causation without manipulation and the common notion within that school that it is nonsensical to talk about the causal effects of race or sex because those could not imaginably be manipulate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an argument for reconsidering how we construct a single training example during lm pretraining it gives a formal proof that dependencies between two texts are vanishingly weak when the t... | this paper presents a novel framing of whats at stake when selectingsegmenting text for use in language model pretraining four reviewers with experience working with these models agreed that the conceptual and theoretical work here is insightful and worth sharing the empirical work is fairly smallscale and does not yet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider a specific sketching method countsketch and three objective functions defined over the data design matrix multipleresponse regression mmr lowrank approximation lra and kmeans clustering... | the work falls under the setting of learningbased sketchingcompressive subsampling it extends the work of indyk et al 2019 including sparsity pattern optimization and some theoretical enhancements the reviewers agree that while the conceptual novelty including the greedy optimization step is not too much it is nonethe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a framework for sampling clients in each round of a federated learning training session the proposed framework balances a notion of privacy essentially a lower bound on number of sumands ... | the secure aggregation protocol is a basic building block in federated learning it allows a central entity to learn the sum of vectors held by the clients without being able to noticeably distinguish two different sets of vectors that lead to the same sum this paper studies the question of how much privacy is leaked ac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to make strides towards a theoretical understanding of deep neural networks which remains elusive to date this paper uses a control theoretic formulation to analyze the convergence rate of de... | this paper aims to study the convergence of deep neural networks training via a control theoretic analysis this is a very interesting approach to establish theoretical understanding of deep learning however there are several concerns raised by the reviewers 1 the contribution of this paper is limited the results simpl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose four different deep learning approaches unet cgan osaunet osacgan and evaluate them on the same data the results seem to be quite accurate and the numbers are presented together with sta... | while the paper describes an interesting approach i have to agree with reviewer mkue that even in a short paper there should be at least a brief discussion of related work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied the problem of contextual bandits with knapsack constraints where in each round given the stochastic iid context and the selected arm a conversion rate is obtained the reward and costs ar... | as acknowledged in the reviews and i concur this is a well written paper that introduces a relevant and interesting contextualbandits model and gives solid technical results the paper certainly has its limitations but overall the technical contributions are novel and well executed the authors have effectively address... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with stabilization of an unknown lti system from an trajectory of the system thus learning and stabilization of the system must be done simultaneously this is a timely problem and an current... | the paper considers an interesting and timely theoretical problem in the intersection between control and machine learning the paper is wellwritten and the results are novel and provide insight into how and when the sample complexity for stabilizing an unknown lti system can be decreased i thus recommend that it should... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work addresses the question about how pretrained language models encode semantic information it adapts the methodology proposed in hewitt manning 2019 for syntax to semantics using the wordne... | this work addresses the problem of understanding how pretrained language models are encoding semantic information such as wordnet structure this is evaluated by recreating the structure of wordnet from embeddings the study also shows evidence about the limitations of current pretrained language models demonstrating tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new adaptive multistage density ratio estimation framework for learning latent space energybased model ebm in order to overcome the densitychasm problem namely whenever the gap between... | reviewers unanimously agree that this submission is of good technical quality and wellwritten the author proposed an unsupervised learning paradigm for latent variable models based on ebms and nce by extending the prior work on telescoping densityratio estimation this paper proposes using ebms in the latent space bef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates active learning with pretrained models to achieve better performance when using uncertainty sampling empirical results show that active learning with pretrained models and uncertaint... | the paper makes a simple but compelling claim that using large pretrained models within an active learning loop improves the ability to collect labeled data efficiently for improved model training with limited labeling resources all revieweres agreed that the work is technically correct that the empirical verification... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
some popular methods like vdn and qmix focus on the monotonic factorization of jointaction value function which is not realistic in nonmonotonic cases when the agents best action depends on other agents act... | this paper adapts the ideas around universal successor features for decentralised multiagent environments with a particular emphasis on deriving better exploration from them like most of the reviewers i think this is indeed a promising research direction given the complexity of the endeavour however it may take a few m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a general theoretical and algorithmic framework for modelbased rl in which the authors use data likelihood to estimate a model quality and use an optimistic posterior sampling for data co... | the paper proposes a new theoretical framework to design posterior sampling methods for modelbased rl all the reviewers agree that the theoretical framework is novel and can avoid many complications in the previous works |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a unified sequence interface pix2seq for computer vision tasks the authors extend pix2seq which can do only object detection to more vision tasks such as segmentation keypoints and image... | four reviewers provided reviews for this submission several reviewers felt that the idea to unify core vision tasks into a sequential output format is interesting and an entirely new approach and can have a large impact on how we train vision models in the future there were a few concerns discussed between reviewers an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
inspired by the discontinuous phase transition of running time this paper studies the computation issue of ksparse parities of n bits via deep learning method it shows two main results 1 with standard initi... | this paper studies learning ksparse parities of n bits by a neural network the authors show empirically that sgd efficiently learns sparse parties and also provide theoretical analysis for 2layer mlps in particular the authors show that training neural networks with sgd but without any sparsity penalty can solve the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to use successor features for the purpose of option discovery the idea is to start by constructing successor features based on a random policy cluster them to discover subgoals learn opt... | pros simple sensible subgoal discovery method strong inuitions visualizations detailed rebuttal 15 appendix sections cons moderate novelty lack of ablations assessments dont back up all claims illjustifiedmismatching design decisions inefficiency due to relying on a random policy in the first phase there is c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors compare a collection of machine learning models to predict the expected rental income from an investment property the dataset they use to train their model is fairly small around 4k transactions... | the paper evaluates several offtheshelf algorithms for predicting the return on realestate property investment the problem is interesting but there is a consensus that the paper contains little technical novelty and the empirical study on a fairly small dataset is also not convincing |
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