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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a reward prediction module to produce reward labels in a metarl setting here the offline rl part requires reward labels while the online portion can be done in a selfsupervised manner ... | the paper describes a new offline meta rl technique that addresses the distributional shift problem with a selfsupervised online exploration phase where reward labels are not available the framework is novel and interesting the authors addressed many concerns of the reviewers however the additional experiments raise... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper adaptive discretization for continuous control using particle filtering policy network the authors introduce a new way to discretise the action space of agent in rl settings by using a particul... | this paper is rejected the authors contributions are propose pfpn as an expressive action policy for continuous action spaces introduce a reparameterization trick for training pfpn with offpolicy methods experiments claiming pfpn outperforms unimodal gaussian policies and a uniform discretization scheme and that it... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a diversity loss and a topological prior to not only increase the chances of finding the appropriate triggers but also improve the quality of the found triggers these loss terms signific... | this paper proposes a diversity loss and a topological prior to not only increase the chances of finding the appropriate triggers but also improve the quality of the found triggers these loss terms significantly improve the efficiency in finding trojaned triggers the experiments results show that the proposed method pe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a framework using concepts from category theory to analyze the mechanisms through which transformer based language models perform contextualize representations in contrast to prior work ... | this paper proposes a theory for understanding the context representation in pretrained language models the strengths of the paper as identified by reviewers are in the importance of an attempt to explain contextualization in language models and in the novelty of using the category theory to model the connection betwee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a better policy parameterization that works better with sparse rewards in outdoor navigation tasks the challenge of training rl agents in navigation tasks is reward sparsity since the re... | summary the paper investigates an application of heavytailed deep rl to outdoor navigation tasks three problems goal reaching obstacle avoidance urban navigation are tackled the main thrust of the paper is that heavytailed distributions can deal with sparse rewards better than standard distributions and are more like... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to solve the gradient conflict in training and dense activation in inference in multitask learning using a codesigned mixtureofexpert model in algorithm level the authors p... | this paper presents a modelaccelerator codesign framework to enable ondevice multitask learning mtl at the model level customized mixtureofexpert moe layers are introduced for mtl which alleviate gradient conflict at training time and improve the efficiency at inference time via sparse activation at the accelerator lev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the effect of training bn parameters on training deep neural networks the conclusion is striking learning only bn parameters is enough when increasing the depth of the network authors hav... | the paper provides an astonishingly simple experiment the parameters in the network are fixed but only the parameters in the batchnorm taking less than 1 of the total number of parameters are trained and also the last linear layer is trained the resulting networks provide better accuracies than training a random subs... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
it is proposed to speed up the existing sda methods by selecting a subset of the source dataset that is highly similar to the target dataset and training only using the source subset since model training is... | the paper contributes to an important research direction reducing the computing resources needed for training deep learning models while achieving stateoftheart results the proposed method is a principled strategy for domain adaptation problems while based on existing notions they are used cleverly the diverse and exte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a fairness calibration method for the task of face verification problem the authors claimed that the proposed method can produce fairlycalibrated probabilities reduce the gap in the fa... | all reviewers agree that the presented approach to fair calibration of face verification models is interesting and needed in the field the method does not require access to sensitive attributes for calibrating which makes it sustainable the reviewers are satisfied with the presented experimental studies in most cases t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to study from both a practical and theoretical perspective node embeddings methods whose embeddings are regularized with an ell2 loss in particular the authors propose considering here n... | overall reviews on this paper are universally positive the paper presents an interesting theoretical analysis of l2 regularized node embeddings via an asymptotic graphon model based approach the reviewers find this approach interesting and hopefully the techniques will be valuable in further theoretical progress on und... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
neural networks are combined in this contribution with the polynomial chaos expansion technique to solve stochastic pdes in order to efficiently quantifying uncertainty in the solution starting from partial... | this paper considers extending physics informed neural networks pinns to stochastic pdes and thereby be able to quantify uncertainties in their predictions the authors may consider this opportunity to extend the experimental section to address limitations of the work that has been flagged by reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors survey the literature on probing the understanding reasoning and commonsense properties of transformerbased models outlining several limitations of current models they cover mispriming negations the... | the paper surveys the ability of pretrained transformerbased models on logical reasoning tasks this is a blooming area of research which makes this paper particularly attractive to akbc community authors introduce basic capabilities in order to do reasoning eg handling negations stability to wordorder etc later they su... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the following points summarize the paper 1 the authors propose a twophase federated learning algorithm to learn cluster label and mixed regression parameter vectors 2 in phase 1 few anchor clients with ti... | this is mainly a theoretical piece of work studying the problem of clustered federated learning under a mixed regression setting the authors establish convergence guarantees related to the statistical error incurred by the method the results include eigengapfree bounds on subspace estimation and vc dimension analyses o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors propose a new rl method spectral dqn in which rewards are decomposed into different frequencies this decomposition allow for the training loss to better balanced on cert... | this paper presents a deep rl algorithm to handle tasks where rewards can differ greatly in magnitude the proposed solution decomposes the reward into a set of exponentially sized bins with a thermometer encoding and computes a weighted sum of the value functions learned for each bin the approach addresses the common... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper considers the convergence property of averaged stochastic gradient descent on a overparameterized twolayer neural networks for a regression problem this paper is the first to achieve th... | the paper presents some exciting results on the convergence of averaged sgd for overparameterized twolayer neural networks the ac and reviewers all agree that the contributions are significant and well presented and appreciate the author feedback to the reviews the corresponding revisions on assumptions and references ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a technique for combining explicit and implicit priors for reinforcement learning with demonstrations implicit priors refer to priors that store the knowledge from demonstration in a neur... | all three reviewers have elected to accept the paper with accept ratings of 567 the reviews were thorough and demonstrated an understanding of the paper and the authors have addressed many of the suggested edits i like that the paper tackles the combination of parametric vs nonparametric learning one weakness of the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is about a new method for training neural networks in the continual learning setting where tasks are presented in a sequential manner and data from the previous task cannot be revisited the method... | the authors propose an approach for continual learning of a sequence of tasks which augments the network with taskspecific neurons which encode adversarial subspaces and prevent interference and forgetting when new tasks are being learnt the approach is novel and seems to work relatively well on a simple sequence of mn... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel active learning scheme for gps based on a fullbayesian solution the paper is wellwritten and it is nice to read this work this is the the main strength in my opinion the stateoft... | this paper took a fully bayesian perspective on gaussian process fbgp regression tasks the key technical contribution builds on the argument that the optimal mode of the hyperparameter posterior ie over the lengthscale and the noise parameters corresponds to the optimal biasvariance tradeoff one would expect that a ful... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a sound methodology for an important practical clinical issue of trackingfollow up of lesions in longitudinal imaging the paper is very well written experiments are performed on a lar... | longitudinal lesion tracking is a very clinical relevant problem that has received little attention in deep learning this paper proposes an interesting semiautomatic pipeline with a oneclick interaction combining segmentation and registration to find the lesions in the followup exam the method builds on existing segme... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new collection of benchmarks for hpo containing 14 scenarios 700 instances the key focus is on multifidelity problems and hierarchical search spaces although it is not clear how many o... | this work proposed a new hpo surrogate benchmark for 14 scenarios and filled the gap of benchmarks in the multiobjective and multifidelity setting the paper is clearly written and conducted experiments to demonstrate its usefulness it also provided analysis on several interesting questions such as tabular vs surrogate ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem statement this paper considers the effect of bias in anomaly detection the anomaly detection setup is this a model is trained on a 1 alpha alpha mixture of normal and anomalous examples the model... | this paper studies the effect of anomaly detection using supervised learning with nonrepresentative abnormal examples on the tpr of the anomaly detection model experiments demonstrate that when the abnormal examples presented in the training set are not representative of the abnormal examples in the target distribution... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main contribution of this paper is a system zeroc for pattern detection and classification that once trained on elementary concepts is able to zeroshot adapt to complex concepts as long as the complex c... | the focus of this work is on the introduction of a compositional reasoning model that enables zeroshot generalization while there are a number of limitations eg the small domain limited concepts but reviewers were content that the demonstrated results on lowresolution image domains proved the approach can scale to more... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses several protocols including data augmentation point distribution loss function ensemble scheme and testing models which serves as a kindly reminder that the training protocol matters as... | this paper received three recommendations of accept and one recommendation of reject the paper is mixed the results presented are both compelling and will have impact on the community the ac does not agree with r2s views that the paper requires proposal of a novel method for acceptance at the same time the ac also... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the paper this paper tries to study whether increasing shapebias of a neural network trained with imagined will make it more robust to common corruptions such as gaussian noises the paper falsifi... | this work investigates the recently proposed hypothesis that enhanced shape bias improves neural network robustness to common corruptions several interesting experiments are performed to better understand the contributing factors that lead to improved robustness of models trained with texture randomization of particula... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting problem and suggested solution good justification for path taken timeseries and causality is a understudied topic at large and it is great to see work which addresses this domain the writing... | meta review this paper considers causal structure learning in time series by means of extended summary graphs which represent each variable by two vertices one for the contemporaneous time step and one for the entire past up to some maximum lag the paper presents adaptions of the pc and fci algorithms to learning these... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a vae model for mobility forecasting it focuses mainly on the disentanglement of spatial and temporal features by modelizing explicitly two groups of features in the vae schema a group of... | the paper proposed to learn a disentangled representation of spatiotemporal mobility data using a vaebased architecture in order to separate spatial and temporal dependencies this is an interesting and relevant problem but the reviewers found the paper to be weak in motivation and empirical evaluations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
an rl based method called rewritingby generating rbg is proposed to solve largescale vrps it borrows the idea of the hierarchical rl agent which consists of two parts generator and rewriter in the generatio... | the authors propose an rlbased approach rewritingby generating rbg to solve largescale capacitated vehicle routing problems cvrps such problems are nphard in general and are ubiquitous the rl agent consists of a generator and rewriter in generation the graph is subdivided into several regions and in each region an rl a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a generative sequence model based on the dilated cnn popularized in models such as wavenet inference is done via a hierarchical variational approach based on the variational autoencoder ... | the paper presents a generative model of sequences based on the vae framework where the generative model is given by cnn with causal and dilated connections novelty of the method is limited it mainly consists of bringing together the idea of causal and dilated convolutions and the vae framework however knowing how we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
there are strengths to highlight in this paper 1 using a transformerbased architecture is a novel methodological application 2 the ability to cover the entire 4d fmri volume data is very interesting since... | while there were several concerns upon initial submission including clarity of experimental details and missing rationality for transformer model for fmri and selfsupervision strategy upon revision reviewers all leaned toward acceptance with paper strengths including 1 new application of transformers to fmri analysis 2... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced a theory for the piggyback iteration of nonsmooth functions while existing asymptotic analysis for the piggyback ad procedure only works for twice continuously differentiable functions... | the reviewers agreed that the paper has solid and novel technical contributions nevertheless please consider elaborating more on the background of the techniques used in the revision so that the paper is more selfcontained |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a semanticallyadaptive upsampling approach for layouttoimage translation it uses the semantic label map to predict spatiallyadaptive upsampling kernels for feature map upsampl... | the paper proposes an upsampling layer design for converting layouts to images three reviewers rate the paper below the bar while one reviewer rates the paper marginally above the bar the main concern that several reviewers raise is the novelty particularly r1 and r3 point out that the proposed method shares great simi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new approach to regularize onpolicy methods utilizing two soft trust region terms the first term encourages the new policy to stay close to old policy like ppo and the second term enfo... | two trust region constrained optimization for policy gradient rl where the second trust region is based on a virtual policy built from a memory buffer and using an attention mechanism to combine prior policies the reviewers agree that the paper is well written the idea is novel and the paper is extensively evaluated th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an alternative method of parallelizing a particular flavor of evolutionary algorithms more specifically the evolution strategies ess and particularly the cmaes the authors propose to use ... | the authors propose a novel framework for distributing blackbox optimization dibb which can encapsulate any black box optimization bbo method dibb overcomes some of the limitations of existing methods by leveraging expert knowledge in the problem the reviewers raised a variety of important technical concerns the author... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a wellmotived paper that considers bridging the gap in discretetime continuousstateaction optimal control by approximating the system dynamics with a convex model class the convex model class has mo... | the paper makes progress on a problem that is still largely unexplored presents promising results and builds bridges with prior work on optimal control it designs input convex recurrent neural networks to capture temporal behavior of dynamical systems this then allows optimal controllers to be computed by solving a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a modelbased reinforcement learning method the method builds a partial model of the environment through learning inverse dynamics which is the distribution of action sequences that would ... | while many work in the literature planet 2018 dreamer 2020 simple 2019 etc learn world models to perform well on a particular task at hand the motivation behind this work is that dynamics models benefit if they are taskagnostic hence would be able to perform a wider range of tasks as opposed to just doing one task real... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to introduce multiple senses into pretrained models the proposed method selects senses dynamically while pretraining the model and applies a senseaware crossentropy loss for pretraining ... | this paper investigates how to align word senses across languages this has not been studied much as past work has primarily considered aligning word embeddings across languages the paper is well written and well motivated unfortunately the empirical results are not very strong the baselines are somewhat low and the gai... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary unsupervised learning of vector representations for a graph is an important problem for various downstream applications the authors propose an instantembedding approach that learns ddimensional emb... | this paper proposes an efficient algorithm to obtain a node embedding based on its local pagerank scores the proposed approach uses a hashing technique and a local partition approach to make the method more efficient and effective however the paper has significant drawback and can be further improved in the following a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the classical algorithm of irls for solving ellp regression for p in 01 the algorithm updates between solving a weighted least squares problem and updating the weights where the authors a... | thank you for your submission to neurips the reviewers unanimously found the contributions to be solid and the paper to be clear and wellwritten all three reviewers unanimously recommend accepting the paper one reviewer remarks that it is actually interesting to see that the smoothing parameter plays a critical rule in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new learning rule based on action surprise which is meant to facilitate off policy reinforcement learning and explain a variety of biological results from da neuron and basal ganglia re... | this paper presents an offpolicy rl model for providing biologically plausible explanations of of dopamine activity and basal ganglia recordings the reviews express a positive evaluation for the research question and framework and the biological plausibility within the context of the domain application there are some ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new method for representing surfaces on grids using priorbased losses viscosity loss and coarea loss they have shown better results than neural network sdfs in reconstructing surfaces o... | the paper originally received mixed scores with two reviewers recommending acceptance and two rejection while the reviewers acknowledged the soundness of the approach the clarity of the explanations and the good ablations of the methods components they expressed concerns regarding the limited scope of the experiments t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses the knowledge of generating mechanisms to identify latent representation for given data it contributes to the question of identifiability in unsupervised learning it relaxes the knowledge of ... | the paper provides new insights about how to identify latent variable distributions making explicit assumptions about invariances a lot of this is studied in the literature of nonlinear ica although the emphasis here is on dropping the i i think more could be said about how allowing for dependencies among latents truly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an empirical study on the backdoor erasing in cnn via teacherstudent alignment of the attention maps s1 an unexpected way to erase backdoors without the need for additional information ... | this paper introduces neural attentiondistillation a new scheme for erasing backdoors in a poisoned neural network the paper performs an empirical evaluation of their proposed method against 6 stateoftheart backdoor attacks the authors show that attentiondistillation succeeds by using only a small fraction of clean tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed a texture synthesis framework using the rectified wavelet coefficients the paper claims that the proposed method cand achieve similar quality with the vgg feature based method gatys et al... | this paper proposes a new waveletbased model to represent textures the model incorporates a wide range of statistics by computing covariances between rectified wavelets coefficients at different scales phases and positions the model can synthesize textures that have a similar quality to stateoftheart texture models usi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to adapting control parameters in a prosthetic limb using a multiagent reinforcement learning design that considers the human and the prosthetic as collaborating agents with ... | this paper present an approach for control of prosthesis under a novel collaborative multiagent formulation the approach is demonstrated in simulation all the reviewers agree that the paper contribution is novel and interesting the reviewers also provided several suggestions on how to improve the manuscript and point... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary the paper proposes a framework for the analysis of causal inference its main contribution is to decompose the indirect effect by teasing out the causal contribution of a set of mediators in a ser... | this paper proposes an approach to learn the causal structure underlying a dataset with acyclicity and other structure constraints and then used the inferred structure to compute partial causal effects the authors show that on simulated data the proposed method outperforms others in the literature the manuscript also c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a modification of the vae that was designed for handling icu data for perioperative care the new method specifically handles the entanglement of the latent variables in the traditional va... | the reviews are of good quality the responses by the authors are commendable but iclr is selective and reviewers still believe that the research would be better as two separate papers one about the problem and solution from an ml perspective and the other about the application to surgery papers that provide a new metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is clearly structured and well written the idea of using detected anomalies to improve the downstream segmentation task is clearly valuable the significant reduction in the hausdorff distance show... | the paper has received 2 reviews from which one reviewer has only provided a final evaluation after rebuttal therefore there might be an uncertainty in the rating left however i would recommend acceptance of the paper as a poster since the authors have justified their decisions and significantly improved their paper re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper enhances lagrangian neural networks by adding conservation of the angular and linear momenta it does so by enforcing symmetry with respect to translation and rotation of the system in the lagrang... | this paper enhances lagrangian neural networks by adding conservation of the angular and linear momenta according to the reviewers the technical contribution of the paper is marginal it is a incremental change of an existing model and it seems that there is some over claim on the generalization of the model to unseen s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new dataset of video quality metrics for many video compressions the dataset consists of various videos encoded by a wide variety of standards the authors also provide subjective scor... | the submission receives 5 reviews form 5 reviewers and all are positive about the proposed dataset presented in the submission ac reads all reviews and discussions and agree with the reviewers ac recommends to accept the submission as a spotlight |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes the socalled optimistic value distribution explorer ovdexplorer to deal with overexploration issue in reinforcement learning rl it is claimed that the proposed algorithm is tractable for ... | the reviewers found the work interesting but have concerns about the correctness of some of the claims in the paper also some reviewers would like to see more experiments and some have concerns about the theoretical results overall i see the work promising but it requires a major revision and some improvements to pass ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i think the general idea behind this paper is very exciting architectures mutating in an instancebased way i was hoping to see that the authors had achieved this whilst adding only a small overhead of para... | the paper investigates the order of transformer modules and its effect on performance the proposed approach iot consists of several predefined encoder and decoders with different orderings and weight sharing along with a light predictor which is trained to choose the best configuration per instance most reviewers fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the new idea of training a classifier for the adversarial types seems interesting and worth investigation pleas refer to q5 it is an intriguing and ambitious idea to classify the adversarial attacks howeve... | meta review the paper studies the properties of adversarial attacks and proposes to categorize the attacks to better defend them which is very interesting overall the paper is well written and organised experiments show the effectiveness of the proposed method the metareviewer is happy to recommend acceptance as we bel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
humans are good at generalizing previously acquired knowledge to find solutions to novel problems in this way they can learn a complex task by combining knowledge from different experiences instead of learn... | the manuscript presents a story about compositionality that ties together neuroscience and models with a focus on how compositionality enables generalization in a task performed by humans undergoing fmri reviewers were largely happy with the manuscript and authors thoroughly addressed the questions that reviewers had ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
extensive research is going on in an active learning area however the annotation cost of an evaluation set is overlooked in previous studies since active learning assumes expensive labeling costs the cost o... | this paper tackles the active testing problem and proposes a novel estimator ase of the expected loss based on a surrogate function and a novel acquisition function ewed to minimize the error sota performance is reported and some ablation study is conducted reviewers raised concerns about novelty high dependence on t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies cluster randomized signs for onesided bipartite experiments under network interferences the paper discussed many different models but i will only define the main one studied there is a wei... | this wellwritten paper proposes a possiblynew experimentdesign problem where there is interference this interference is modeled by a bipartite graph where one side has the experimental units and the other has interference units the purpose of the interference units is to facilitate interactions between the experimental... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies weighted empirical risk minimization erm where the weight at data point xi yi is a polynomial function of the loss value ellfxi yi for affine functions the authors show that it is equival... | the paper investigates weighted empirical risk minimization where the weights on an example in the training set is given by a polynomial function evaluated on the loss on the given example authors show that the choice of the weighting function induces a datadependent variance penalization in the training objective auth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper propose a semisupervised algorithm for bilingual lexicon induction bli problem prior works on bli problem usually impose orthogonality constraint on the linear transformation in order to... | this paper is very close to the decision boundary and the reviewers were split about whether it should be accepted or not the authors updated the paper with additional experiments as request by the reviewers the area chair acknowledges that there is some novelty that leads to moderate empirical gains but does not see t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper learning to actively learn proposes a differentiable procedure to design algorithms for adaptive data collection tasks the framework is based on the idea of making use of a measure of problem conv... | the authors present an adaptive model that learns a good policy by adversarial training focusing on the setting where the query budget is very small some experiments are carried out to validate the proposed method the reviewers opinions turned out to be split on this paper on one hand all reviewers appreciated the idea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces the neural rendering model nrm a generative model in which the computations involved in inference correspond to those of a cnn forward pass the nrms supervised learning objecti... | this paper introduced a neural rendering model whose inference calculation corresponded to those in a cnn it derived losses for both supervised and unsupervised learning settings furthermore the paper introduced maxmin network derived from the proposed loss and showed strong performance on semisupervised learning tasks... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an endtoend multiperson pose regression framework to address the problem of high complexity and redundant postprocesses existing in the previous work to achieve this the authors introduc... | the authors propose a novel framework for endtoend multiperson pose estimation by employing a set of learnable partlevel queries along with instancelevel queries promising results are demonstrated on the challenging coco and crowdpose datasets the provided author rebuttal successfully addressed all reviewer concerns as... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to completely remove even the two hyperparameters in randaugment by full random selection of augmentation policies without any searching and achieve the comparable performances by simple... | all reviewers generally admit that the motivation of realizing searchfree autoaugment is reasonable and important however they also raised many concerns regarding the experimental evaluation to validate the practical effectiveness of the method in particular unclear discussion with respect to ablation studies and the l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies personalized sparse training for federated learning the proposed method fedspa is a novel personalized federated learning scheme that employs personalized sparse masks to customize sparse... | dear authors i have carefully read the reviews rebuttals and the subsequent discussion the review scores are mixed 5 5 6 6 let me comment on some of the key issues raised by the reviewers i will elaborate on some of them with my own insights 1 you insist that p4 cannot be regarded as a particular case of p3 but this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel strategy for safe reinforcement learning in constrained mdps cmdps at a high level they provide a bound on performance difference that compared to achiam et al 2017 accounts for ... | this paper studies safe reinforcement learning and proposes a new policy optimization method with a rigorous safety guarantee during the authorreviewer discussion period the reviewers concerns were mostly resolved the reviewers have reached the consensus that the contribution of the proposed method is sufficient to be ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
cluster similarity indices csis take as input two clusterings a b and assign a similarity score for the given pair of clusterings the index calculates a score based on the number of pairs of elements that c... | the paper goes over a long list of proposed clustering similarity indices and attempts to provide a taxonomy of those by their different approaches and the extent by which they satisfy a list of desired properties proposed by the authors this is very much in the spirit of earleir work on clustering similaritie by meila... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a lab study with 16 participants that investigate the effect of presentation style recommendation list or visual cues on user behaviors in reviewing algorithmic bias reports through thi... | all reviewers agree that the paper advanced on a timely topic of algorithmic bias detection the problem is wellmotivated and sufficiently outlined the paper is very well written with adequate details about motivation and study design |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a training method for classification with the goal of training with less data the proposal is to train an auxiliary classifier at the same time the auxiliary classifier and the main clas... | in this paper the authors propose an approach to improving the accuracy of the classification problem based on deep neural networks by detecting the indomain data from backgroundnoise the strategy is designed in such a way that the detector and the classifier share the bottom layers of the network theoretical proof i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed to study the directional feature interactions to explain deep models the proposed method is a graphbased explainer and the data can be considered as graphs then it studies the bivariate s... | in this paper the authors generalize the univariate shapley method to bivariate shapley method the authors first build a directly graph based on the asymmetric bivariate shapley value adding feature j to all sets contained feature i then several graph algorithms are applied to analyze the directly graph to derive 1 uni... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the important problem of being able to deal with heterogeneous teams of agents that might change over time in cooperative multiagent reinforcement learning in the strictly cooperative s... | this paper proposes an approach for coordinating teams with dynamic composition consisting of an attention mechanism regularization and communication the clarity of the paper is currently low seemingly due to the conflated message of the multiple parts of the framework improvements to the text via the suggested edits o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new approach for representation learning on temporal graphs or ctdgs the proposal can be viewed as an extension of the walk sampling scheme from caw 1 modified to also count on node deg... | the paper proposes a method based on the concepts of temporal walks and neural ordinary differential equations to learn effective node representations on continuoustime dynamic graphs all the reviewers are positive about the paper and the rebuttaldiscussion helped clearing out the concerns they had |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of estimating the support of a discrete distribution when provided access to samples and an oracle that approximately predicts the probability of the observed sample they pr... | the paper gives a learningaugmented algorithm for estimating the support size of a discrete distribution the proposed algorithm is evaluated experimentally showing significant improvements in the estimation accuracy the reviewers unanimously agreed that the contributions are strong and relevant i recommend accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to overcome oversmoothing in gnns this paper proposes node noise with noisecorrection training similar to denoising autoencoder to make node representation distinguishable on 3d molecular property predictio... | this is a borderline paper the most enthusiastic reviewer does not have much confidence in the score the other reviewers think the paper has some value after the rebuttal but also feel there is little technical novelty the proposed applications of the approach are interesting after reading the reviews rebuttal and the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach that supports better performance when out of distribution cases occur it does so by letting neurons be of only compact support and thus if the input is out of distribution ood... | the paper presents an approach that supports better performance when out of distribution cases occur by letting neurons be of only compact support and thus if the input is out of distribution ood pros the proposed strategy is interesting and may be useful cons the choice of the parameter alpha whose value is cruci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper delves into the broad question of why generative sequence models work well in learning from phylogenetic data and points out some directions for improving them it first starts showing that given ... | this paper presents the argument that molecular fitness is not identifiable from observational sequence data alone and that bigger models trained on bigger datasets will inevitably lead to better fitness estimation the reviewers found strengths in the paper because estimating fitness from evolutionary data is of great ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a novel algorithm safe exploitation search ses that allows trading off safety and opponent exploitability in imperfect information zerosum games ses comes with theoretical upper bounds... | this paper proposes an algorithm for searching for safe opponent exploitation strategies the algorithm is based on alternating between a a safe maxmargin search and an unsafe exploitation search the paper provides strong theoretical guarantees for the algorithm and some experiments that show the advantages of this algo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
nice paper exploring the connection between valuebased methods and policy gradients formalizing the relation between the softmaxlike policy induced by the qvalues and a regularized form of pg presentatio... | reviewers agree that this a highquality and interesting paper exploring important connections between widely used rl algorithms it has the potential to be an impactful paper with the most positive comment noting that it will likely influence a broad swath of rl pros the main concepts of the paper came through cle... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes wpipe a technique for reducing the memory overheads of weight versioning and improving freshness of weight updates in pipeline parallelism through a novel scheduling of the the pipeline s... | the paper proposes a new pipelineparallel training method called wpipe wpipe works on a very high level by replacing the twobuffer structure of pipedream2bw with a twopartitiongroup structure allowing resources to be shared in a similar way to pipedream2bw but with less memory use and less delays in weight update propa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a fundamental issue in curriculum design for a complex reinforcement learning problem target task when the target task is complex to solve with direct training on it the learner can be tr... | the paper proposes a novel curriculum learning method for rl based on the concept of boosting the proposed method builds on the curriculum valuebased rl framework and uses boosting to reuse actionvalues from previous tasks when solving the current task the method is analyzed theoretically in terms of approximation accu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper aims to perform metalearning across tasks that have different input data types by learning separate taskspecific encoders and then aligning the features produced by these encoders before ... | after carefully going through the reviews and rebuttal and looking at the content of the paper as well i feel there are some issues with the current manuscript as also pointed out by anonreviewer5 and anonreviewer2 the text lacks clarity from specifically defining what a schema is to being more explicit about the limit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper tries to predict the quality of output of a segmentation algorithm applied to medical images the approach of this paper is to looks at the true shape of the segmentation on the train... | the authors present a method using a vae to model segmentation masks directly errors in reconstruction of masks by the vae indicate that the mask may be outside the distribution of common mask shapes and are used to predict poor quality segmentation scenarios that fall outside the distribution of common segmentations ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a whitebox adversarial attack on 3d point cloud recognition models such that the corresponding attacks are robust natural and reproducible in the physical world for naturalness they propo... | the authors propose a new method for constructing adversarial distortions of 3d objects the method centers around the a new distance metric between 3d objects which the authors argue is better suited for natural looking perturbations relative to the euclidian metric reviewers overall felt the paper was strong the resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a principled way to examine the compression phrase ie ixt in deep neural networks to achieve this the authors provides an theoretical sounding entropy estimator to estimate mutual inform... | this paper studies the compression aspect of the information bottleneck it seeks to clarify a debate about the evolution of mutual information between inputs and representations during training in neural networks the paper discusses numerous ideas and techniques and arrives at valuable conclusions a concern is that p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a branch and bound approach to solving the kmediod problem by taking advantage of the lagrangian relaxation method explored by cornuejols in the 70s in particular they modify the lagra... | the authors solve an important theoretical problem via a nice connection to lagrangian relaxation for kmedoids and kmedoids on samples the paper also has significant experimental results the paper is also wellwritten and information from the rebuttal should be incorporated into the final version i recommend acceptance ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a shifttolerant perceptual similarity metric is proposed based on lpips strengths the elements of shifttolerant metrics in the context of convolution neural networks are well analyzed and validated weakne... | this paper introduces a perceptual similarity on top on the commonly used perceptual loss in the literature lpips the authors draw experiments highlighting that human perceptual similarity is invariant to small shifts whereas standard metrics are not the paper studies several factors antialiasing pooling striding paddi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper empirically evaluates whether nmt can predict word alignment this is done by measuring the alignment error rate between silverdata generated from fastalign and various methods to extract alignmen... | this paper examines the relationship between attention and alignment in nmt the reviewers all agreed that this is a valuable topic that is worth thinking about however there were concerns both about the clarity of the paper and the framing with respect to previous work first it was hard for some reviewers to understan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a method for learning to select visualizations visualization agent for online assistance in an augmented reality ar application for a human cooperating with a team of mobile rob... | summary in this paper the authors proposed an ar space experimental field based on unity to acquire humanrobot collaboration strategies the proposed methodology learns visualization policy through human demonstrations in the logistics domain of a warehouse the results show an improvement in the efficiency of humanrobo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the training time dynamics and the hardness of examples it proposes a new metric to complement existing metrics called secondsplit forgetting time ssft the paper studies three types of ha... | the paper studies metric to characterize the difficulty of examples in terms of training dynamics in addition to firstsplit learning time fslt similar in principle to existing methods they propose the novel secondsplit forgetting time ssft there is strong empirical evidence that ssft allows to discriminate mislabelled ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new framework to describe and understand the dynamics of rnns inspired by quantum physics the authors also propose a novel rnn architecture derived by their analysis although i foun... | although the way in which the authors characterize existing rnn variants and how they derive a new type of rnn are interesting the submission lacks justification either empirical or theoretical that supports whether and how the proposed rnns behave in a learning setting different from the existing rnn variants |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper uses the concept of thermophoresis from statistical mechanics to study certain aspects of the dynamics of sgd in neural network training it is argued that this explains sgds tendency to... | this paper uses concepts from physics to make predictions about stochastic gradient descent the reviews point to two issues firstly the paper was not very accessible to those without a relevant background and this is reflected in the low confidence rating reviewers gave more importantly two of the reviewers consistentl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the behavior of the gradient play when the policies are modeled via softmax surrogate gradient play can be either firstorder policy gradient or secondorder natural policygradient method ... | the reviewers appreciate the contribution of this paper to the theory of tabular marl in mpgs namely convergence rates of pg and npg with and without a logbarrier regularizer there were some concerns regarding clarity of the writing in particular the textual descriptions of the theory and its implications and of the co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a truncated krr method and shows how the alignment of the target function with the kernel improves the performance of the tkrr the paper also sheds light on a situation when the tkrr can a... | the reviewers all found that the paper is interesting and contributes interesting new results the reviewers have made several useful constructive comments that the authors are strongly encouraged to take into account |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a method for the generative modeling of indoor scenes the model contains a triplane based radiance field branch and a camera trajectory branch they are trained with indoor scene datasets ... | this paper proposes a framework to learn disentangled latent representation of radiance field and camera pose from trajectories of 3d scenes the denoising diffusion probabilistic model can be further trained on the extracted latent representation for a conditioned or unconditioned generation experiments are conducted t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a deep clustering method called edgam clustering algorithms often suffer from cluster collapse or samplespecific details overestimation to balance both challenges the authors propose a d... | this paper presents a method for unrolling the iterative expectationmaximizing steps in the em algorithm for a gaussian mixture model into layers in a neural network then the proposed method is applied in the latent space of an autoencoder to allow deep clustering using autoencoder features the reviewers raised concern... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on a sequential matching problem in a twosided platform composed by jobs and workers it is assumed that the skills of the workers are uncertain and the supply of workers is unlimited the l... | we thank the authors for their submission the paper studies a matching problem between jobs and workers where jobs arrive sequentially and workers have unknown skills that need to be learned the number of workers is much larger than the number of jobs choice overload meaning not all workers can be explored a setting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a search method for neural network architectures such that two potentially conflicting objectives maximization of final performance and minimization of computational complexity can be pu... | pros an explicitly multiobjective approach to neural architecture search multiple datasets ablation experiments cons lack of baselines like hyperparameter search illjustified increase in capacity after search ineffective use of the multiple objectives in assessment not clearly beating random search baseline th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work is wellmotivated and very successful the experiments are thorough the paper is very well written with just minor edits needed one weakness is that it is unclear why the proposed method results in s... | meta review there was a spread of views on this paper however the most positive reviewer for this paper made a strong case for it and the authors addressed various concerns well in their response all things considered there is a good case for acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros this work is well written and easy to understand the idea of assembling oversegments sorting segments merging dynamic partitioning and seed selection is interesting which can be applied to many downst... | the reviewers were split with all scores hovering around borderline and i found it difficult to reach a conclusion i like the paper and agree with the authors that it may offer an interesting middle ground between bottomup and topdown approaches on the other hand i was concerned with some of the execution flaws that we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the ... | this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the nethack challenge 2021 iii code for users to apply these trajectories in a compressed format to demonstrate the u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
delta method allows one to construct confidence intervals however the method involves substantial computational difficulties such as inverting the fisher information matrix which is quite large if the numbe... | the paper proposes an original new tool to access the uncertainty of a machine learning model the authors agreed that it is a valuable contribution to our community and deserves acceptance importantly all reviewers mention that there is room for improvement both in the presentation containing ambiguities and in the e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of releasing sensible structured data where there are two inlined challenges 1 the global network structure should be effectively preserved 2 the link privacy should be rigo... | this paper studies synthetic data generation for graphs under the constraint of edge differential privacy there were a number of concernstopics of discussions which we consider separately 1 theoretical contributions there are not that many theoretical contributions in this paper i think this is ok if the other componen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new framework that combines model extraction me and membership inference attack methods such that both attacks can mutually reinforce each other in the attack process and eventually le... | this paper studies the problem of securing a model once it is published as a service in most prior studies the focus was on either protecting the model from extraction attacks me or from identifying the data used for training the model mi the authors propose that a simultaneous attack on both surfaces is even more powe... |
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