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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors are presenting 2 spatiotemporal datasets taken using remote sensing satelites the authors describe the methods for annotating change events and a pipeline the authors used to automate the annota... | this work presents a novel resource for detecting changes in aerial imagery the paper is well written and contains significant amount of experiments and baselines for demonstrating its usefulness the paper considerably improved upon reviewers feedback who are unanimously positive about this work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
very good motivation since fwtype methods are sensitive to stochasticity in gradient computation and since realworld distributions are often heavytailed what are regularity conditions for such distribution... | meta review the reviewers are happy with the authors responses the reviewers suggest the following things i the authors should add the lack of discussion of the related literature and ii the authors should better modularize and differentiate what is credited and established vs developed and new please also add the disc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the nonlinear dynamical system on time series data it proposed a piecewiselinear pl recurrent neural network rnn and attempted to couple it with dendritic computation a computing parad... | inspired by dendritic nonlinearity this paper extends previous work on plrnnpwl dynamical system modeling by durstewitzs group the extension replaces the relu nonlinearity with a linear combination of relus this preserves the theoretical properties of plrnn however the dimensionality of the latent dynamics remains the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present sheetkey a sheet with conductive patterns that allow the users to quickly enter complicated touch pattern passwords 03s i like the idea of this prototype its simple straightforward and p... | three expert reviewers reviewed this paper r2 noted that the paper could have gone further with the evaluation to test the full usability of the system and was concerned that the contribution of the paper was unclear r1 is a bit more positive with some comments on the technical aspects of the work finally r3 is the mos... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to use equivariant networks to handle the symmetrybreaking problem in multiagent coordination settings to generate an equivariant historydependent policy the authors present the equivari... | this paper proposes a testtime algorithmic modification to address a multiagent coordination problem where agents choose incompatible strategies due to symmetries in the environment showing that it is applicable to zsc tasks like hanabi the proposed symmetrizer is applied to lstm recurrent policies reviews were mixed ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors aim to shed light on the role of overparametrization in generalization error they do so for the special case of 2 layer fully connected relu networks a simple setting where one still sees empiri... | i agree with the reviewers that this is a strong contribution and provides new insights even if it doesnt quite close the problem ps it seems that centering the weight matrices at initialization is a key idea the authors note that dziugaite and roy used bounds that were based on the distance to initialization but th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a theoretical formulation for metalearning that uses task similarity based on task gradients which helps learning in the presence of outlier tasks the inner loop parameter update is give... | this paper addresses a method that incorporates the tasksimilarity via task gradients into the metalearning the inner loop update is done by kernel regression with the similarity between gradients of tasks considered and the outer loop is the gradient update with a particular regularization without any doubt it is a ti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
it seems that this paper tries to propose a general neural network architecture that is composed of multiple layer types based on a tree structure generally i dont and shouldnt reject a paper because of wri... | first i would like to thank all the reviewers for their efforts in reading and understanding this paper i tried to read the paper as well and i also find its really difficult if possible for me to understand the ideas presented here the most important task in writing a paper as reviewer svha also suggested in hisher re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies the problem of asynchronous training with robustness to adversaries in federated learning the authors propose an idea based on entropy based filtering to simultaneously filter out... | this paper proposes a combined method to address stragglers and adversaries in federated learning stragglers are overcome by allowing staleness in model aggregation adversaries are handled by using a public dataset to identify poisoned devices and adjusting their weights when doing model aggregation however the reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in stochastic convex optimization sco characterized by the following objective for convex f minw fw mathbbexisim mufw xi we typically assume repeated access to the noise distribution mu for sampling iid ra... | dear authors this paper eventually received mostly negative reviews scores 5 3 5 with one mildly positive review score 6 all reviews were particularly informative offering detailed and expert feedback i was hoping for author engagement but unfortunately no rebuttal was submitted in general the reviewers and me found... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
learning nearoptimal policies in sparse reward environments with large state space is challenging in theoretical reinforcement learning rl literature it has been understood that directed optimistic explorat... | the reviewers carefully analyzed this work and agreed that the topics investigated in this paper are important and relevant to the field overall the reviewers had a generally positive impression of this paper one reviewer argued that this paper addresses a relevant and valuable question and makes an important step towa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use riemannian geometry to analyze the latent space of variational autoencoders vae specifically the authors define a riemannian gaussian distribution on the learned latent space bas... | the submission proposes a geometrically motivated method to sample from a trained variational autoencoder by defining a riemannian metric on the latent space and a corresponding distribution to correct the sampling process of vaes according to most reviewers and reading the submission the method is clearly explained an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new problem of modelling the series editing operations of an article ie px1 dots xn prodt pxt x1dots xt1 where each xt represents an article after tth editing there are three types of... | this paper introduces a novel task ie modelling the iterative process of editing sequences and proposes a transformerbased architecture to address it tractably the paper also elects a number of metrics that are argued to shed enough light onto the merits of the proposed architecture in our view the current version is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a modular approach to the problem of mapping instructions to robot actions the first of two modules is responsible for learning a goal embedding of a given instruction using a learned dis... | the paper proposes a novel approach to interfacing robots with humans or rather vv by mapping instructions to goals and goals to robot actions a possibly nice idea and possibly good for more efficient learning but the technical realisation is less strong than the initial idea the original idea merits a good evaluat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper rewrites equations of elman rnn in terms of socalled maxaffine spline operators paper claims that this reformulation allows better analysis and in particular gives an insight to use initial state ... | while the reformulation of rnns is not practical as it is missing sigmoids and tanhs that are common in lstms it does provide an interesting analysis of traditional rnns and a technique thats novel for many in the iclr community |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper attempts to study the effect of different transformations of input datasets and the performance of the resulting models thereof in particular authors consider timeseries data which is then repres... | unfortunately reviewers unanimously agreed that this paper does not meet the iclr acceptance standards citing generally unpolished experiments i would recommend substantially expanding the experimental results in the future |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in large scale incentive design processes the classical approach is one of estimating behavior adjusting incentives evaluating the outcome repeated until a fixed point is reached at each step you may need t... | executive summary this paper considers the incentive design problem making sure players in a noncooperative game play a certain equilibrium by setting incentives appropriately in both atomic and nonatomic games it deviates from the classic computational learning approach which is looping over two steps 1 setting incen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper works on improving the runtime for estimating shapley values the work introduces fastshap that estimates shapley values with a learned explainer model the method is validated on tabular and image ... | the reviewers agree that the paper introduces an interesting approach for estimating shaley values in real runtime the effectiveness of the method is well demonstrated across different tasksdatasets |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new concept of preconditioning layers the authors claim that this idea is novel and they introduce this idea in the context of gans i cannot verify or falsify if the idea is really nove... | this paper presents a new method for training gan by adding a precondition layer all reviewers are positive about the empirical results however some concerns were raised about the justification 1 only linear networks are considered which is a bit impractical 2 existing work has shown the importance of controlling the w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new neural network architecture called the bpnn to recover phase information in physical problems where one only has access to the magnitude of a function on the complex line this is... | the authors propose a neuralnetwork based approach for the phase retrieval problem solving the phase retrieval problem is key for important application areas such as crystallography or radioastronomy after adding more baselines and other changes 3 out of 4 reviewers recommended acceptance reviewer kqwk recommended rej... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a macro search space which allows blocks in a model to be different to promote performance to provide a systematic study of the performance of nas algorithms in a macro search space name... | this paper introduces a new nas benchmark with 95k architectures evaluated on a single dataset criticisms were quite diverse including the novelty and design of the search space the use cellbased baselines with much smaller search spaces the limited number of algorithms being benchmarked and the limitation to a single... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes an algorithm for achieving sublinear alpharegret for the problem of graphical bilinear bandits introduced by rizk etal 21 the algorithm is based in the wellknown optimism under uncertain... | we thank the authors for their submission in this paper agents are vertices on a graph where an edge between agents ij indicates that they play a multiarmed bandit game against each other where the expected reward is bilinear in both agents actions the goal is to maximize the total expected reward over all edges of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the clinical motivation of the paper is clear i liked the way the authors detailed the clinical problem and motivation 2 the paper is wellwritten and easy to follow 3 the method and results make sense i ... | both reviewers give strong support for the paper with clear clinical motivation i recommend acceptance and encourage the authors to take into account the minor suggestions for further improvements and requesting the approval for source code release |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents crowdplay a crowdsourcing platform to collect human demonstrations for any mdp it also accompanies a dataset of human gameplay on atari games with multiagent and some multibehavior aspec... | this paper studies the problem of how to collect demonstrations via crowd sourcing for imitation and offline learning the paper received mixed reviews initially the reviewers had difficulty understanding empirical results asked for some more ablations and were little unconvinced by the proposed usefulness of the collec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors release metscov a dataset containing medical entities and targeted sentiments from covid19related tweets the medical entities include 4 medical entity types disease drug symptom and vaccine and... | in this work the authors introduce metscov a dataset that contains 10000 annotated tweets with 7 types of entities including 4 medical entity types disease drug symptom and vaccine and 3 general entity types person location and organization out of those entities person organization drug and vaccine are annotated with u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes to finetune pretrained language models using the ec paradigm though the idea itself is not new this work uses a larger model than previous and focuses on the practical application of unsu... | both reviewers found this work worthy of being accepted and despite some possible issues with literature they agree that it will spark interesting discussions at the workshop |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents theoretical analysis for recovering onehiddenlayer neural networks using logistic loss function i have the following major concerns 1a the paper does not mention identifiability at all a... | this paper shows local convergence results for gradient descent on one hidden layer network with gaussian inputs and sigmoid activations later it shows global convergence by using spectral initialization all the reviewers agree that the results are similar to existing work in the literature with little novelty there ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an advance in geometric deep learning based on a geometric scattering transform using graph wavelets defined in terms of ran dom walks on the graph the paper is well written easy to unde... | ar1 is concerned about the overlap of this paper with gama et al 2018 as well as lack of theoretical analysis and poor results on reddit5k and reddit5b datasets ar2 reflects the same concerns lack of clear cut novelty over zou lerman 2018 game 2018 ar3 also points the same issue re lack of theoretical results the aust... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed to pretrain an endtoend visionlanguage model especially on long videos a hierarchical temporal window based attention mechanism is proposed to deal with long temporal depe... | after a discussion the reviewers reach a consensus towards the acceptance the author rebuttal resolved most of the concerns that the reviewers raised and the reviewers find its value to the community together with some of the reviewers i also appreciate that the paper explores longterm video modelling which is an under... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel method to produce probabilistic models whose predictive uncertainty is quantilecalibrated without requiring the use of a calibration dataset separate from the training dataset an... | this paper provides a novel method for calibrating probabilistic regression models without requiring a heldout calibration set the technical advances are interesting and the experimental results look promising the authors made a number of improvements based on the reviews and the authors have done a good job with repro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework for recording synchronized multimodal data from wearable and global sensors in the real world to enable a learning pipeline to better understand human everyday behavior and i... | this paper presents an interesting multimodal dataset for research work on analyzing human actions while there are some issues with this work the authors have addressed most of them well during the rebuttal phase overall there is sufficient support to accept this paper at this conference the authors should include all ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach for skill learning and finetuning the main idea of the manuscript is to combine offline skill learning with few online demonstrations to provide efficient learning experience ... | the reviewers agree that addressing longhorizon tasks with offline learning and fine tuning afterwards from demonstrations is an interesting and relevant topic the technical ideas about learning a relevance metric to select relevant offline data and to learn an inverse skill dynamics models the experimental results are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced new algorithms for secondorder guarantees of nonconvexstrongly concave problems first the paper first gave convergence rate guarantees for the general setting then it gave linear or su... | the authors provide a cubic regularization approach to nonconvex concave minimax problems the reviewers highlight that the paper in its current form is not ready for publication due to issues such as the gap between the theory and the implementable algorithm |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed to approach the problem of spatiotemporal video grounding by a one stage endtoend framework the model adopts an encoderdecoder strategy and generates the video tube directly from output... | this paper presents a novel endtoend framework for spatiotemporal video grounding where the feature alignment and prediction inconsistency can be jointly addressed all of our reviewers believe this paper is wellpresented with a novel idea and sota results overall i would like to recommend this paper to be accepted with... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
disclaimer i am not expert in sde theory so my review will focus on the high level and clarity the authors are interested in the filtering problem in sdes ie computing the conditional distributions xtyt wi... | this is an interesting paper but it also requires some additional work the paper received mixed responses from the reviewers but the main concerns were sorted out during the rebuttal and discussion in the end the reviewers ended up weakly recommending acceptance after the authors promised an extensive number of changes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript presents a comprehensive benchmarking study in the terms of datasets network backbone and training strategy the authors analyzed the database characteristics data enhancement strategy network... | this paper presents a benchmark in the sense of a large scale ablation and evaluation of existing worksdatasets considering the effects of dataset backbone and training strategies for the problem of human pose and shape estimation there is a consensus among reviewers that this papers main limitation is the overemphasis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a tessellation based approach to mapping between continuous and discrete distributions which learns quantization boundaries in continuous space the approach has several desirable mathemat... | the authors develop a tesselation based approach to map between discrete and continuous spaces they use this approach to dequantize data to port likelihood based models on continuous spaces to discrete spaces and to scale mixture models where each mixture component has disjoint support from the view of normalizing flow... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach for unsupervised learning of diverse skills by maximizing an intrinsic reward function in contrast to prior works eg diayn dads the proposed approach learns skills incremental... | this paper is about an unsupervised method to learn new skills in nonstationary environments by maximizing an intrinsic reward function experimental evaluations on openai gym environments show that the proposed approach improves the diversity of the learned skills and is able to adapt to continuously changing environme... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies the problem of recalibrating a classifier under the presence of domain shift and the constraints of differential privacy they show how to adapt several algorithms for dealing wi... | this work considers the problem of calibrating a multiclass classifier while preserving differential privacy it proposes a method accuracy temperature scaling that aims to achieve consistency rather than calibration the method is particularly easy to implement under the constraint of dp the paper then evaluates the ca... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes the details on how the authors prune fbnetv3 which is already a compact network architecture models with existing methods to make them more compact the resulting models have better flop... | this paper presents an empirical study which shows that pruning fbnets with larger capacity results in a model with higher accuracy than one searched via neural architecture search the below are pros and cons of the paper mentioned by the reviewers pros the observation that optimized architectures such as fbnets can ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an incremental learning approach to theorem proving that learns to prove theorems from scratch using hindsight experience replay her to learn from unsuccessful proofs the approach adopts ... | four reviewers acknowledged the authors response and did not change their largely negative scores the one enthusiastic reviewer did not respond to the more negative reviewers and has not worked in the theorem proving area the main problem with the paper seems to be that the reviewers were not convinced by the empirica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a nice idea that of changing environments in patrolling that could foster further investigations in the specific subfield of patrolling games the paper is clearly written and makes nice u... | meta review the reviewers reach a consensus on the acceptance the authors are encouraged to take all the comments into consideration and further improve the paper in the camera ready |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors studied generalization error of 3layer neural networks with two caveats 1 only the middle layer weights are trained 2 only a class of regression functions are considered an upper bound is provid... | this paper studies the generalization error of threelayer relu neural networks when only the middle layer weights are trained the focus is the regression setting and the goal is to capture the hidden layer interactions the paper aims to determine how the hidden layer interactions influence the doubledescent curve the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this wellwritten paper addresses the restrictions imposed by binary communication channels on the deployment of latent variable models in practice in order to range code the floating point latent representa... | this paper addresses the issue of numerical roundingoff errors that can arise when using latent variable models for data compression eg because of differences in floating point arithmetic across different platforms sender and receiver the authors propose using neural networks that perform integer arithmetic integer ne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work i metalearns equivariances in neural networks by reparameterizing fully connected layers into a symmetry matrix and filter parameters and ii metalearns invariances from augmented data strengths ... | the paper proposes an approach to metalearning symmetries while several approaches have recently emerged with similar goals and sometimes greater convenience and empirical performance the proposed approach has some interesting characteristics such as changing properties of the architecture to extrapolate these symmetri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors explore the different kinds of outliers and show that the methods previously proposed detect different kinds of ood and not a single one can detect them all the authors propose an inte... | problem significance this paper introduces an interesting taxonomy of oods and proposed an integrated approach to detect different types of oods the ac agrees on the importance of a finegrained characterization of outliers given the large ood uncertainty space technical contribution the key idea of the paper is to c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a dataset with human interactions recorded in an acm mm workshop it involves multiple overhead videos audio and wearable sensors with privacypreserving the author group has also provided ... | the paper proposes a dataset with human interactions recorded in an acm mm workshop it involves multiple overhead privacypreserving videos audio and wearable sensors the author group has also provided continuous key points speaking statuses and fformation annotations the dataset supports personkeypoint detection speaki... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel method of fusion of information from two modalities text context and question and a knowledge base for the task of question answering concretely they propose greaselm layers that ... | the paper presents a novel method of fusion of information from two modalities text context and question and a knowledge base for the task of question answering the proposed method looks quite simple and clear while the results show strong gains against baseline methods on 3 different datasets ablation studies show tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of the low efficiency of program search guided by a pretrained oracle or on discrete and nondifferentiable architecture space to this end the paper proposes a framework that... | this paper presents an approach to synthesize programmatic policies utilizing a continuous relaxation of program semantics and a parameterization of the full program derivation tree to make it possible to learn both the program parameters and program structures jointly using policy gradient without the need to imitate ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a transformerbased entropy coding model for learned image compression the backbones of the commonly used hyperprior encoder and decoder are replaced with transformer encoder layers and ... | the three reviewers all felt the paper was above threshold for acceptance to iclr to improve the final version they suggest some additional discussion and experiments may help the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the problem of generalizing out of distribution for rl they conduct an extensive empirical study using simulation and real robotics and observed properties that predict how well an agent ... | it can be prohibitively expensive to train a reinforcement learner from scratch mdash particularly in cases where experience is expensive to obtain such as with a physical robot so we might hope to speed up rl in a couple of ways first by pretraining a representation that makes subsequent rl need less data and second b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method of training spiking neural networks snns by matching the intermediate feature representations of snns with pretrained anns the method is onchip and local allowing snns to ... | this paper proposes a novel method of training spiking neural networks snns by matching the intermediate feature representations of snns with pretrained anns the method is onchip and local allowing snns to be learned directly on neuromorphic hardware all reviewers agreed that the problem that the paper target to solv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission appears to be the first presentation of bayesian normalizing flows which certainly makes it appropriate content for this workshop the authors should provide some introductory content on nor... | the paper is within the scope of the workshop and considers an interesting application of bayesian normalizing flows to highenergy physics however the reviewers found that the lhc application is not communicated clearly enough to nondomainexperts we decided to accept the paper but we urge the authors to take into accou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strengths a variational approach to metalearning is timely in light of recent approaches to solving metalearning problems using a probabilistic framework the experimental result on a standard metalearning... | this paper presents a metalearning approach which relies on a learned prior over neural networks for different tasks the reviewers found this work to be wellmotivated and timely while there are some concerns regarding experiments the results in the miniimagenet one seem to have impressed some reviewers however all ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting experiment that may be helpful for others too in finding better neural network parameters im not sure how many people at midl are familiar with enas im not dont use acrony... | while this paper has received a mix of rates 2 weak accepts and 2 weak rejects l tend towards rating this paper as weak accept nevertheless i believe that authors need to address some important questions in the near future as a summary these are the main concerns of this work authors do not take into consideration the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a benchmark for using machine learning to solve pdes the pdes considered vary from relatively simple to complex in addition to the data the authors provide a framework for data generation... | the paper proposes a new benchmark consisting of a variety of pde problems almost all the reviewers appreciated the extensiveness of the problems included timeindependent 13d etc there is code for generating data training baseline models recording variety of metrics all the qualities that make for a complete and usefu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a centralized learningbased framework for solving nphard multiagent multitask scheduling problems with timedependent rewards which can achieve nearoptimal performance the proposed learni... | the approach is novel and significant but there are concerns about the presentation in the paper the authors should thoroughly update the paper to clarify formally the problem being solved and provide more details about the method the related work should also be updated to be more extensive |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes targetvae a representation learning method that disentangles the appearance position and rotation of an object in a given image while the model is applied mainly to singleobject images it... | the authors propose an effective method for groupequivariant representation learning in an unsupervised setting the authors use group convolutional encoder in the vae setting this is an interesting problem in the community the proposed method makes sense and seems technically sound the experiment results are good and c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new insight in proving the convergence of the training of deep learning taking advantage of the notion of rayleigh quotients the authors show that kl inequalities for a broader set o... | this paper proposes a new method for proving the convergence of gradient flow to zero loss by leveraging rayleigh quotients to establish kl inequalities a strategy that can apply even without overparameterization the reviewers found the paper to be well written and generally easy to follow despite a few concerns about ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed fedlite which extends a specific federated learning setting called splitlearning to be more transmission efficient by a vector quantization scheme in split federated learning the classif... | the paper introduces a compression method for distributed split learning for better communication efficiency by compressing the intermediate output between client and server model by vector quantization convergence analysis and experimental results are provided unfortunately consensus among the reviewers remained that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper demonstrates the effective use of differentiable simulators for significantly speeding up the training of policy gradient methods the main idea is to backpropagate through the simulator only on s... | there is consensus in the reviews that this paper convincingly demonstrates strong acceleration of policy learning using differentiable simulation in tasks involving contactrich dynamics the authors are encouraged to explore where the smoothness assumptions made in the simulator actually transfer to real robots the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper has theoretical and empirical contributions on topic of fourier coefficients of neural networks first is upper bound on fourier coefficients in terms of number of affine pieces and lips... | this paper considers an interesting hypothesis that relu networks are biased towards learning learn low frequency fourier components showing a spectral bias towards low frequency functions the paper backs the hypothesis with theoretical results computing and bounding the fourier coefficients of relu networks and experi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of cloth grasping by presenting a system that leverages both visual and tactile perception the proposed system uses tactile perception edge estimation network tactile sliding... | the paper is of interest and addresses an important problem relating to deformable object manipulation it utilizes a hybrid of vision and tactile perception for manipulating towels the idea is original with very good technical quality the work was presented well and guides the reader appropriately the reviewer concerns... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper concerns an adaptive learning rate algorithm based on the derivative of the objective with respect to the learning rate he authors introduce the technique that they call differentiable selfadaptiv... | the paper deals with the problem of adjusting the learning rate during gradient descent optimisation unfortunately the proposed approach is very similar to methods already presented in the literature and no significant contribution can be recognised during the rebuttal the authors have acknowledged their ignorance abou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work analyzes the accuracyprivacy tradeoff in ensemble learning by performing model inference attacks the key finding of the paper is that the presence of an ensemble that averages the predictions of i... | the authors in the paper perform empirical studies to investigate the tradeoff between accuracy and privacy measured by membership inference attacks in deep ensembles they find out that the level of correct agreement among models is the most dominant factor that improves the performance of mi attacks in deep ensembles ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in general the paper is well written a computer vision sota method is adapted to the medical imaging field the statistical analysis is clear well evaluated methods to handle the lack of data in medical... | 24 reviewers were very supportive of the paper whilst 24 raised strong concerns in terms of the level of clarity of the technique and experiments despite r2 and r4 have some level of concerns on the technique and the experimental setting they also recognise some strengths of the paper particularly in the challenge of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
most existing node sampling strategies in graph transformers are agnostic to the graph properties and do not consider longrange relationships between nodes to address this issue the authors of the paper pro... | the paper proposes to account for the graph properties when performing node sampling the proposed method learns the effective sampling by adjusting the weights of a set of sampling schemes based on an adversary bandit formulation besides a hierarchical attention scheme for graph transformer is presented with graph coar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors describe the conditioned gan model to generate speaker conditioned mel spectra they augment the zspace corresponding to the identification with latent variables that allow a richer set of produc... | this is an ambitious paper tackling the important and timely problem of controlling nonannotated attributes in generated speech the reviewers had mixed opinions about the results r1 asks for more convincing exposition of results but nevertheless acknowledging that it is difficult to evaluate tts systems systematicall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces video pretraining vpt which is a new algorithm to learn foundation models for complex longhorizon embodied agents in the popular minecraft game first an inverse dynamics model is train... | the authors have introduced video pretraining vpt a semisupervised learning approach that allows relatively small volumes of labeled data to train an inversedynamics model that is subsequently applied to predict the action labels associated with a far larger unlabeled dataset they then train an agent in a supervised re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the unsupervised training of biencoder and crossencoder for sentences a selfdistillation framework is proposed in which the biencoder and crossencoder may iteratively distill knowledge... | for pairs of pieces of text the central idea of this paper is to combine the approaches of using biencoders where a vector is formed from each text then compared which are easily trained in an unsupervised manner with crossencoders where the two texts are related at the token level which are normally trained in a super... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows that calibrated models are not always the best for humanai systems optimizing the ml model alone with human uncalibrate the model but resulting in better performance the paper provides rigor... | the paper studies the problem of optimizing an ai agents reported confidence to improve the overall performance of a human user in a collaborative humanai decision system the main idea is to train a human behavior model based on experimental data that can be used to simulate the joint humanai system and then optimize t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores adversarial robustness in a new setting of testtime adaptation it shows this new problem of testtimeadapted adversarial robustness is strictly weaker than the traditional adversarial robu... | this paper studies testtime adaptation in the context of adversarial robustness the key idea is to use a maximin framework which illustrates nontrivial robustness under transfer attack using domain adversarial neural network dann to linfnorm and unseen adversarial attacks the approach is sound well grounded and quite l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a neural net implementation of counterfactual regret minimization where 2 networks are learnt one for estimating the cumulative regret used to derive the immediate policy and the other on... | the reviewers agreed that there are some promising ideas in this work and useful empirical analysis to motivate the approach the main concern is in the soundness of the approach for example comments about cumulative learning and negative samples the authors provided some justification about using previous networks as i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the use of diversity sampling based on submodular functions for selecting clients who send updates to the server in a federated learning environment as the authors show this provides more... | the paper proposes a novel method for diverse client selection at each round of a federated learning procedure with the aim of improving performance in terms of convergence learning efficiency and fairness the main idea is to introduce a facility location objective to quantify how representativeinformative is the grad... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes the occgen toolkit which extracts genderbalanced multilingual parallel data and evaluates three multilingual models in highresource and lowresource genderbalanced datasets the proposed ... | this paper describes a toolkit for building multilingual datasets that are balanced across preselected gender categories in occupations drawing from source datasets such as wikipedia the toolkit performs data collection aligns data and balances data in a customizable way case studies are performed on a machine translat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new multimodal architecture that receives images and a threedimensional point cloud and detects 3d objects the new architecture is based on fusing feature vectors both extracted from vo... | the paper proposes a multimodal system for 3d object detection and 3 expert reviewers vote for its acceptance after rebuttal based on their appreciation of the good improvements brought by multimodality and due various interesting details of the system i agree with reviewer bb8v that the writing should be polished sta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a deep latent variable model dlvm for missing data problems where the missing mechanism is missing not at random mnar and therefore cannot be ignored it presents an approach for fitting... | all the reviewers highlight that the paper addresses the important issue of extending deep latent variable models to handle missing non at random data which are known to be very difficult the authors suggest modeling the mechanism of missing values and perform inference using amortized importance weighted variational ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes feature learning in infinitewidth neural networks trained with gradient descent in this limit the distribution over hidden unit activations and gradients in each layer becomes iid and ca... | this paper analyzes a dynamical mean field theory that describes feature learning via gradient flow for certain infinitewidth neural networks selfconsistent equations for the order parameters characterizing the dynamics are presented and methods for approximate numerical evaluation are discussed overall this is a solid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a residual nonlocal attention net rnan which combines local and nonlocal blocks to form a deep cnn architecture with application to image restoration the paper has a compact description... | 1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion strong qualitative and quantitative results a good ablative analysis of the proposed method 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your expert opinion be sure to indi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates why conventional student network is not outperformed to teacher network based on several experiments design this paper argues this is due to the student only fit the local indistribu... | the paper studies knowledge distillation kd to better understand the reasons behind the performance gap between student and teacher models the analysis is done by conducting exploratory experiments the paper establishes that the distillation data used for training a student can play a critical role in the performance g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a scalable selfsupervised method that uses graph neural networks hence called s3gc and node features to learn clusterable representations using contrastive learning s3gc uses a 1 layere... | tldr accept is there is room the paper proposes a scalable selfsupervised method that uses graph neural networks 1 layered graph convolutional network to encode feature and structural information diffusion augmentations and contrastive learning for graph clustering the work is more applied the baselines are somewhat ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores how the performance of bert and drqa changes as a result of being applied to different text snippets the paper compares retrieved snippets generated snippets nlg adversarial snippets answ... | this paper studies how factual predictions of a masked language model mlm are influenced by appending additional context via various context construction methods the work presents a set of interesting probes for the analysis with good justification on the probe design the paper is well written clear and provides good i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new settingsemisupervised longtailed recognition to harness the imbalanced unlabeled data the authors combined the decoupling in longtailed recognition and pseudolabeling in semisuperv... | the paper addresses semisupervised learning with unbalanced class distribution aka longtail the main idea is to alternate learning of the representation and the classifier reviewers pointed out that several papers already addressed this learning setup often under the name imbalanced semisupervised learning no rebuttal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a novel method for generating novel molecules with some targeted properties many studies on how to generate chemically valid molecular graphs have been done but it is still an op... | this paper proposes to use constrained bayesian optimization to improve the chemical compound generation unfortunately the reviewers raises a range of critical issues which are not responded by authors rebuttal |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors take up an important problem in unsupervised deep reinforcement learning which is to learn perceptual reward functions for goalconditioned policies without extrinsic rewards from the en... | this paper introduces an unsupervised algorithm to learn a goalconditioned policy and the reward function by formulating a mutual information maximization problem the idea is interesting but the experimental studies seem not rigorous enough in the final version i would like to see some more detailed analysis of the res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study gradient flow on the empirical squared loss more specifically they consider the evolution in function space of the residuals and show that it can be written as the sum of 1 t... | there was a healthy discussion with all the reviewers with a consensus that the results are somewhat expected and unlikely to shed light beyond the ntk regime yet within the confine of ntk there is a solid and nicely written technical contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes roteda a method for unsupervised domain adaptation for 3d detectors by using lidar readings over multiple traversals in the target domain they use the persistence prior score ppscore ... | this paper proposes to leverage unlabelled lidar scans from vehicles repeatedly traversing the same environment eg lyft data in the us for the domain adaptation of car bicycle and pedestrian classifiers trained in different domains eg kitti data in germany it uses pretrained point rcnn classifiers and bounding box dete... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper benchmark tests several implementation details on adversarial training with vision transformers moreover this paper proposes two modules ie ard and prm to improve the adversarial robustness there... | the paper studies how to properly conduct adversarial training on vits to obtain adversarially robust models the paper mainly tried to conduct a comprehensive study on vit adversarial training and identified several important training heuristics that can improve the robustness of vits among four reviewers three conside... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper considers training autoencoders with a hyperspherical latent space distribution the encoder maps inputs to latent variables with a unit norm and a contrastive loss with momentum is used t... | this paper presents an interesting approach for training generative autoencoders with a latent space that lies on a hyperspherical subspace however the reviewers have raised concerns regarding the similarity of this work with several prior works and have questioned the experimental setup without the authors response we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the effect of importance weighting schemes in deep learning models a deep learning setting is considered where the empirical loss of labeled training data is weighted with importance weigh... | the paper studies the effect of importance weighting schemes on the implicit bias of gradient descent in deep learning models it provides several theoretical results which give important insights on the effect of the importance weighting scheme on the limit of the convergence as well as convergence rates results are pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed a method to decompose the quantizer operation into the matrixvector product based on bitwidth quantization levels and the dynamic ranges which are parameterized for updates via stochastic... | two referees support accept and two indicate reject despite the authors rebuttal reviewers determined through subsequent private discussions that the paper was insufficient to satisfy the high standards of iclr due to the lack of diverse evaluations on various modelsdatasets and increased computational overhead even t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes random fourier networks rfns mlps with random fourier featurization within the first layer rfns are supposed to learn highfrequency components of the value function more quickly than stan... | the paper points out an interesting and to me unexpected problem when learning qfunctions to do with spectral bias figures 1 and 2 are quite striking the diagnosis and proposed solution elegantly combines ideas from ntks and nerfs the proposed random fourier actorcritic performs well in practice the main problem review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of placing embedding tables of a recommender system model in a distributed training environment how the embedding tables are placed can have significant impact on latency embe... | the paper proposes dreamshard a rlbased framework for placing embedding tables across multiple devices in distributed recommender systems dreamshard jointly trains a cost model to predict the cost of communication and operator fusion for new configurations and a policy network to make placement decisions based on the c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a new interpretable prediction framework which combines rule based learning prototype learning and nns the method is particularly applicable to longitudinal data while the idea ... | this paper presents an approach that combines rule lists with prototypebased neural models to learn accurate models that are also interpretable both due to rules and the prototypes this combination is quite novel the reviewers and the ac are unaware of prior work that has combined them and find it potentially impactful... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors developed naturalproofs a multidomain corpus of mathematical statements and their proofs written in natural mathematical language using the developed model the authors benchmarked strong neural ... | reviewers univocally argue for acceptance of this paper that provides a carefully crafted largescale multidomain dataset for studying mathematical reasoning in nlp reviewers are also impressed extensive number of experiments in this challenging domain a few minor points raised by reviewers are responded to by the autho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a world model that can decompose controlled and uncontrolled factors in the environment concretely their world model is composed of a stream that takes in actions as input and its state ... | this paper studies the problem of building world models that can decouple controllable and uncontrollable factors in the environment the paper received reviews that generally tended towards acceptance however the reviewers had difficulty understanding some details and had concerns that the setup might not be the same a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using a cosine activation function and hadamarddiagonal transformation as a means to improve the efficiency of mpc for machine learning the paper considers a twoserver model where the tra... | there appears to be to be a fundamental error in the paper wrt the application of the proposed approach to finite fields as a result the paper cannot be accepted in its current form |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides an algorithm to ensure robust training of an ml model with just blackbox knowledge of it ie input and output access the algorithm relies on using denoised smoothing with zerothorder optim... | all reviewers have converged to an unanimous rating of the paper highlighting in the paper or during the discussion many strengths including a compelling approach clearly relevant to applications and its solid range of experiments a clear accept and i would encourage the authors to push in the final version the exper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a novel phenomenon of two different pathways in dnn training that determine whether it learns robust or nonrobust features or both the paper uses experiments based on adversarial training... | the paper discusses the dynamics of training neural nets and how they are related to features that are robust and predictive following ilyas et al the reviewers had many comments regarding the presentation of the claim and the validity of the empirical results as well as their unclear practical implications the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a distributed algorithm for exploration in reinforcement learning based off of the principle of divide and conquer this is implemented as a multiagent system where each agent is run on ... | the paper proposes a strategy for multiple learning agents to explore a large rl problems state space via the divide and conqeuer principle it prescribes a design for each agents reward function which when optimized enables the agents to carve out and cover different parts of the state space yielding efficient explorat... |
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