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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the physical model is well explained in particular fig 1 is informative and provides a good overview of the proposed method the idea of using neural networks to complement the physical model is interestin... | this work is clear very original however it lacks a bit of significance and is more of a proof of concept here are the pros and cons ive identified pros this work deals with physicsbased deep learning which is a very recent subject and one of growing interest for the medical community results on simulated data look... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a weakly supervised method for learning spatiotemporal features by video and text pair discrimination namely crossmodal pair discrimination cpd this can be considered as an extension of w... | the paper presents an approach for weakly supervised pretraining for videos using textual information provided with web videos on youtube and instagram strength the work shows strong results with relative small dataset and computational resources compared to other work in the area of selfweakly supervised learning f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about detecting overfitting of deep neural networks without using a validation set this is an interesting research problem however it is not clear how this paper contributes to solve the probl... | the reviewers reached a consensus that the paper is not fit for publication for the moment because a the paper lacks thorough experiments and b the criteria provided by the paper are relatively evague see more details in reviewer 3s comments |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper focuses on the confounder problem that spatiallyseperated image regions eg shoulders of xray images might spuriously correlated with the target eg pneumonia if given a humanlabeled reg... | the reviewers all agreed on accepting this paper stating that it makes a compelling point about the usefulness of saliency methods to diagnose generalization the reviewers found that the experiments were a strong point and applauded the thorough hyperparameter tuning and reruns for statistical significance one review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper proposes a nonparametric method in deep embedded space to address incremental fewshot learning problems by compressing the learned tasks into a small number of reference vectors th... | there was quite some variance in opinion on this paper with some reviewers commenting on problems with clarity and experimental evaluation the authors rebuttals improved the reviewer opinions slightly the rebuttal and accompanying revisions are convincing and the new experimental results are convincing and also very mu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is overall wellwritten and easy to follow the key idea of utilizing a vae to capture organ shape distribution to guide the learning of student model is interesting and wellmotivated the propos... | this paper proposes to improve medical image segmentation via leveraging shape modeling with a variational autoencoder vae they also address unsupervised domain adaptation with a teacherstudent pipeline using a dualloss function they additionally implement testtime training to further improve the result pancreas segmen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a very interesting question what is the relationship between adversarial robustness and crossdomain transferability the previous studies show that a more robust model can transfer bette... | the paper tries to analyze the relationship between regularization adversarial robustness and transferability pros an interesting problem was tackled cons the main claim prop31 is almost trivial prop 31 shows that relative transferability is smaller for stronger regulariation which is just a slight generalization ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a probabilistic treatment of knowledge graph embeddings motivating it in parameter uncertainty estimation and easier hyperparameter optimisation the authors present densitybased d... | the paper proposes a bayesian extension to existing knowledge base embedding methods like distmult and complex which is applied for for hyperparameter learning while using bayesian inference for for hyperparameter tuning for embedding methods is not generally novel it has not been used in the context of knowledge graph... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper revises the role of widely used classifiers from a novel perspective that has been overlooked based on the visionlanguage pretrained model this work introduces text priors into the standard recog... | the paper aims to study the idea of transferring textual knowledge from visionlanguage pertained models to visual recognition or specifically the adaption of clip for downstream visual recognition tasks the authors proposed to revise the role of the linear classifier and replace the classifier with the embedded languag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of the lack of the generalizability of multitask learning due to the spurious no causal relationships correlations between tasks such spurious correlations may wrongly be used... | this work studies how to alleviate potential spurious correlation in multitask learning and proposes a multitask causal representation learning mtcrl framework which aims to represent multitask knowledge via disentangled neural modules and learns which module is causally related to each task via mtlspecific invariant r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper investigates the effects of approximation error in qlearning more specifically the problem of having multiple nonoptimal fixed points in double qlearning the authors claim that double ... | this paper is rejected i and the reviewers appreciate the changes made by the authors the paper presents an analysis based on techniques from previous work of double qlearning which shows that in an analytic model double qlearning can have multiple suboptimal approximated fixed points propose a modification of the u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly focuses on reporting a cautionary finding on using selective classification but didnt provide any solution that is selective classification can magnify existing accuracy disparities betwee... | this is an interesting paper discussing the impact of classifier abstention on the performance obtained for different groups of data the reviewers are either very scores of 8 7 and 7 or moderately score of 5 positive about the paper the main concern is that the paper does not directly propose a solution for the discove... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview the paper focuses on the instability phenomenon happening in the finetuning of bertlike models in downstream tasks the reasons of such instability were assumed to be catastrophic forgetting and t... | this paper identifies the causal factors behind a major known issue in deep learning for nlp finetuning models on small datasets after selfsupervised pretraining can be extremely unstable with models needing dozens of restarts to achieve acceptable performance in some cases the paper then introduces a simple suggested ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
see below see below disclaimer my expertise lies in causal inference and measurement error and not in kernel methods so my review focused on these areas this work addresses measurement error which is an i... | meta review this paper presents a nonparametric kernelbased approach for instrumental variable estimation in the presence of measurement error on the causal variable this is a clear accept there is a strong consensus among the reviewers that this is a very good paper some prior work that should perhaps be included is ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents an approach for learning stateaction abstraction in stochastic shortest path problems ssps the paper introduces generalized policy automata gpa which are hypergraphs wherein edges repres... | while the papers approach is applicable only to mdps with a known relational model expressible in the ppddl language the reviewers unanimously find it to be an interesting novel advance for this class of settings |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality and clarity the writing is good and easy to read and the idea is clearly demonstrated originality the idea of never training over the groundtruth sequence but training on sampled prefix and an opti... | this paper proposes an algorithm for training sequencetosequence models from scratch to optimize edit distance the algorithm called optimal completion distillation ocd avoids the exposure bias problem inherent in maximum likelihood estimation training is efficient and easily implemented and does not have any tunable hy... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an informationtheoretic framework that connects a wide range of machine learning objectives and develops its formal analogy to thermodynamics the whole formulation attempts to align g... | connecting different fields and bringing new insights to machine learning are always appreciated but since it is challenging to do it needs to be done well this paper falls short here |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present procat dataset containing 11063 product catalogs each product catalogs consist of several sections pages and many product offers this dataset is made up of 1613686 product offers instanc... | in this paper the authors offer a dataset of many product catalogues and the task of predicting the order of products based on the set of items and their features the task is fairly novel and the dataset is notably quite large as with many datasets containing text it could be improved by covering a broader swath of lan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the instancedependent logarithmic regret bounds on the rl problem with general function approximation the paper introduces the notation of adaptivity complexity the paper designs two rl al... | reviewers are generally positive about the paper and i see that this papers techniques are differentiated from kswy 21 please make sure you address all the reviewers comments and incorporate them and any new experimental results if applicable in your cameraready |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary and overall recommendation this paper introduces two generalizations of the gromovwasserstein distance to the case where the measures are unbalanced ie not necessarily probability measures while on... | this paper present novel formulations to address the problem of unbalanced gromov the conic formulation is very interesting but stays theoretical until optimization algorithms are available the unbalanced gromov is a nice extension of gromov and comes with relatively efficient solvers some very limited numerical experi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces contrastive neural ratio estimation nrec to develop a better estimator for the likelihoodtoevidence ratio px thetapx for simulationbased inference sbi they first cast the parameter es... | the three reviewers agreed that the work is a valuable contribution to its field and presents extensive experiments for the readers benefit i kindly ask the authors to take into account reviewers comments while preparing the cameraready version in particular the revised version should include the updated results t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new computation block that unifies 3d convolution and transformer block for video action recognition starting from the transformer block the core of the proposed block is its attention... | the paper presents an approach for spatiotemporal representation learning using transformers it introduces a particular architecture design which shows an impressive computational efficiency the reviewers agree that the experimental results are strong and unanimously recommend the paper for acceptance the reviewers fin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the acceleration implementations of the greedytype algorithms for dpp map inference two algorithms are developed for the cardinalityconstrained and unconstrained dpp map inference respec... | although the reviewers gave a wide range of ratings to this paper they all agreed that it is wellwritten and presents two novel sound algorithms that perform well in practice the main concern was that the algorithms merely combine existing techniques which is true however given that the resulting algorithms are elegant... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors examine the amortization inference generalization gap with the motivation of improving performance on lossless compresseion and image modelling they introduce the reverse sleep amortized inferen... | the paper studies generalization in generative models and highlights two factors for the lack of generalization generalization gap of the model itself and generalization gap in the elbo objective caused due to amortized inference the authors experimentally show that the latter is the more prevalent reason to alleviate ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an approach to generate a named entity linking dataset with a temporal dimension it identifies various phenomena related to the problem and the authors tackle them in the data generatio... | this paper describes a dataset for entity linking with entities that may change over time both in how they are referred to as well as their kb description as well as new emerging entities baselines are evaluated on this dataset reviewers appreciated the general thrust of the work the resource itself and the clear pres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
synopsis this paper attempts to classify different scoring mechanisms introduced in widely used kb resources into four facets plausibility typicality remarkability and salience to model these scores the au... | this paper presents a method for classifying scoring mechanisms in kb resources applied to commonsense knowledge bases the reviewers see the application to commonsense knowledge bases as a strong point of the paper and agree that the goal is worthwhile and that the paper is wellwritten however the reviewers had reserva... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper generalizes the traditional constrained markov decision process cmdp to a cmdp that has infinitely many constraints which is called semiinfinitely cmdp sicmdp the main challenge of solving the op... | this paper develops an rl method for semiinfinitely constrained mdps apparently they are the first to do this though the algorithmic contributions are not particularly innovative and the theoretical results are not particularly surprising i see this as a fine albeit technical contribution to the literature i am on t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to make a novel connection between local explainability and learning theory and proposes two theorems regarding bounds related to performance generalization and explanation generalization r... | this paper presents an interesting connection between learning theory and local explainability the reviewers have reacted to each others thoughts as well as the authors comments they are largely in favor of acceptance i think the iclr community will enjoy discussing this paper at the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary
the paper addresses the problem of contrastive representation learning and proposes a new data augmentation dubbed clim that leverages similarity between images instead of generating positives pa... | there are two main contributions in this paper first the use of nn from the same cluster as views of the data as understood in classical contrastive learning second the use of additional augmentation techniques namely cutmix and multiresolution the reviewers noted that the paper is written well and easy to understand t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents an approach that learns a policy from expert demonstrations data in an offline setting it is trying to solve an important problem in imitation learning the expert demonstration may not co... | the paper presents a method for learning sequential decision making policies from a mix of demonstrations of varying quality the reviewers agree and i concur that the method is relevant to the iclr community it is nontrivial the empirical evaluations and theoretical analysis are rigorous resulting in a novel method tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
review the authors address methods to encourage the emergence of the layout expression structures on the frameworks of neural module networks nmn for the visual qa problems the methods are motivated from th... | this paper presents an original perspective on how to learn layouts and modules of neural module networks jointly in a way that encourages the emergence of compositional solutions in particular layouts are treated as messages from an emergent language and iterated learning is used to encourage the emergence of structur... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of clustering outofsample data over multiple kernel clustering dataset the authors of the paper seek to solve the problem by learning the embedding functions with a novel appro... | the paper introduces a methodology for clustering outofsample data in the multiple kernel clustering mkc problem by leveraging the relationship between the empirical kernel matrix and the integral operator of the kernel function clustering risk bounds for the proposed method are provided that compare favorably with the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
many modern neural architectures especially in natural language processing rely heavily on the attention mechanism previous work in the literature proposed to extend the softmaxbased attention mechanism by ... | this paper extends the recent work on continuousdomain sparse attention mechanisms to use kernel parametrizations and thus allow more flexible multimodal shapes continuous attention extends the standard attention mechanisms to continuousvalued keyvaluequery functions involving integrals over probability measures instea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors intend to automatically search for the optimal auxiliary loss to achieve this goal the authors propose automated auxiliary loss for reinforcement learning aarl which uses an evolut... | this paper proposes to use evolutionary methods to learn auxiliary loss functions demonstrating superior performance vs typical auxiliary losses previously proposed in the rl literature demonstrating that it is possible to learn auxiliary losses by evolution both for pixel and state representations that help train sig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a new notion of complexity measure called geometric complexity gc
the paper discusses how gc relates to the familiar concepts in deep learning literature and made extensive lin... | all reviewers and the ac find this paper makes valuable contributions to the deep learning theory community thus the ac recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzed the key issues of the existing messagepassing graph convolutional networks that is the multiply stacked layer might be overfitting and oversmoothing thus it proposed to choose the neighb... | the paper seeks to increase receptive fields of gnns by aggregating information beyond local neighborhoods with the idea of addressing oversmoothing andor overfitting issues with message passing algorithms the proposed method is simple and primarily makes use of node features and local structure similarities in this se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the first dataset focused on keyphrase generation for the french language previous works usually relied on unsupervised methods to perform extractive keyphrase generations the authors al... | this paper presents the dataset papyrus consisting of abstracts and keyphrases extracted from institutional reports from the universit de montral the dataset is mostly in two languages and was generated using straightforward yet easily extensible methods for extraction this is one of the first datasets that expands kpg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new large scale dataset for multianimal 3d pose estimation it consists of approximately 22 million frames capturing interactions between 18 pairs of laboratory rats the videos are ca... | reviewers have an overall positive opinion regarding the paper contribution overall the provided data set is large unique in 3d animal poses and provides useful complementary annotations this can be a valuable resource for the community |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors develop a method to estimate the effect of a static treatment on outcomes over time under temporal confounding with an emphasis on making the method transparent the authors define tran... | the paper developed a method that estimates treatment effect with longitudinal observational data under temporal confounding it extends the idea of the synthetic control method and offers flexibility and ease of estimation however some major concerns remain after the discussion among the reviewers in particular the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an interesting idea that uses language to learn the concept and aid downstream tasks such as segmentation and referential expression interpretation the authors combine the unsupervised s... | while the papers topic is on a topic of interest and presents an evaluation on three synthetic datasets partnetchairs shopvrbsimple clevr dataset several concerns and weaknesses remain after the author response main concern and weaknesses the main improvement comes from the additional supervision provided by languag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a benchmark for graph neural architecture search based on a tailored search space they evaluate different search algorithms of existing methods on graph neural architecture... | this paper introduces the first nas benchmarks on graphs ratings were quite diverse with scores of 456778 the many positive reviewers highlighted that graphnas is very relevant and that a benchmark for them would be very useful for the community the benchmark includes comprehensive evaluations on as many as 9 different... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied dynamic multiproduct pricing and assort problems under the multinomial logit model mnl for multiproduct pricing problems they proposed the online newton method for multiple product pricin... | in this paper the authors study the problem of dynamic multiproduct pricing and assort under the multinomial logit model mnl for multiproduct pricing problems they propose the online newton method for multiple product pricing with provable regret bound of odsqrttlogt for the assort problems they proposed ofumnl with b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission presents three methods to speed up split finding in multioutput gradient boosted decision tree ensembles the bestperforming method applies gaussian random projections to compress the gradient... | after rebuttal the reviewers unanimously agree that the submission should be accepted for publication at neurips reviewers were excited about the achieved speedup |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a framework called focal reasoner to perform logical reasoning to answer questions the proposed approach first extracts the facts from raw text the authors describe a fact unit as a trip... | strengths wellwritten paper strong empirical results on three benchmarks interesting approach of producing semantically augmented lms using dependency parses to extract svo triples and finding coreferences between them across multiple sentences weaknesses none of the reviewers seem particularly excited about the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i found the draft really interesting it is quite profound in challenging commonly assumed conditions in counterfactual fairness literature i am super familiar with causal inference but not with fairness per... | thank you for your submission to clear and engagement with reviewers during the discussion period this paper analyzes the use of causal counterfactuals in fair decision making finding that achieving fairness requires correctly taking into account ignorability under selection reviewers appreciated the insight and clari... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tries to incorporateidentify causal factors in representation learning which is very relevant especially for the medical field the proposed approach outperforms others and generalizes better th... | strengths of this paper include 1 experimental setup and extensive validation and 2 novel and interesting approach to incorporate causality into representation learning however some problems with clarity and questions of change in approach when adding the new toy experiments reduced the ratings of this work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors state a clear summary of their contribution to slow feature analysis sfa in section 5 the key idea for gradientbased sfa is that a whitening layer can be applied subsequently to any differentiab... | this paper proposes to unroll power iterations within a slowfeatureanalysis learning objective in order to obtain a fully differentiable slow feature learning system experiments on several datasets are reported this is a borderline submissions with reviewers torn between acceptance and rejection they were generally p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper suggests three potential sources for high variance in the outcome of compiler autotuning which is empirically evaluated on different tensor programs and one autotuning method the first and second... | the reviewers overall found this line of research important and interesting but suggested the authors to provide more detailed evaluations in particular expanding the benchmark suite to a broader set of diverse workloads with distinct characteristics is critical to the claims in the paper furthermore the paper would be... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper has proposed a topological semantic graph memory tsgm for the imagegoal navigation tasks the proposed method explores while incrementally generating a semantic topological graph using objects in ... | summary this research proposed a technique to represent landmark images and identified objects as topological graphs and to develop navigation action policies using a cross graph mixer and a transformer network the suggested method generates an imagebased semantic topological graph progressively the proposed strategy... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to perform voice conversion through recent methods in diffusion based probability modeling dpm through scochastic differential equations sde building upon recent work gradtts an... | the paper is exceptionally well summarized by reviewer qc5g which is difficult to improve up on i will save the readers the effort of reading more text without adding more substance the reviewers unanimously rated this paper highly the discussion has been robust enlightening and also has improved the revised paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the dynamics of attention in a task of simplified topic modeling over the course of training for a specific model where the context vector is the sum over words in a sentence of their emb... | this paper investigates the training dynamics of simple neural attention mechanisms in a controlled setting with clear but rather strict assumptions some reviewers expressed caution about the applicability of the assumptions in practice but nevertheless there is agreement that the results deepen our understanding and e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper develops several useful lower and upper bounds on the rank of dags specifically minimum and maximum rank of all weighted matrices that induce the same dag in terms of various graphical... | this paper studies the lowrank properties of dag models and illustrates through proofofconcept how lowrankness can be exploited in structure learning of dags after a lengthy discussion amongst the reviewers it became clear that although there are some interesting ideas here there is not enough enthusiasm for this work ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the problem of multiworker restless bandits that extends the standard restless bandits having different costs and fairness constraints on different actions the authors propose a scheme tha... | this paper looks at the restless mab rmab problem through the lens of fairness an increasinglyactive area over the last few years this works generalizations to fairness over the arms that are pulled but spread out across multiple workers who are pulling the arms this is a wellmotivated setting and one that might see ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors define memorization as any situation in which the model predicts the correct word as maximum probability given its context they find that larger models memorize faster under this d... | this paper studies the underlying training and memorization dynamics of very large language models the main take aways are that largersized language models memorize training data faster and that this memorization happens before the overfitting of language modeling tokens with certain partofspeech tags nouns numerals se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
note i am not wellversed in the forecast modeling literature but i am reasonably so in the use of transformer models in nlp tasks the paper proposes mqtransformer an improvement on mqrnn wen 2017 for multi... | the paper proposes and uses a fairly involved attention based architecture to perform time series forecasting the idea of transformers is raised but given how sequence embedding is often convolutional and position encoding input is provided to the model albeit implictly in the form of features having to do with qualita... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for accelerating distributed highdimensional regression under sparsity constraints to do so the authors adapt nesterovs proximal gradient method to the setting by combining it wi... | the paper provides novel guarantees for the wellstudied distributed sparse regression problem their theoretical results improve upon the state of the art and extend to settings that many previous results could not handle from a technical perspective their result builds upon previous frameworks but also requires a numbe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method is not completely supervised and addresses the generalization drawback of supervised learning existing architecture of fine is modified with a slimmer network and its effect on the over... | strong paper with many positive remarks especially after rebuttal in addition the authors released their code recommendation for accept as oral |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong points 1 the authors propose a new framework for constructing adversarial data samples for deep reinforcement learning training it contains six different concrete methods some of them can generate da... | the paper proposes several simple alternatives to generate adversarial examples for deep reinforcement learning algorithms based on image distortions such as lighting change blurring and rotation and show the performance of drl agents degenerate as a result most reviewers appreciate the simplicity and computational eff... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a model directed acyclic graph neural network dagnn which processes information according to the flow defined by partial order dagnn can be regarded as a special case of previo... | this paper proposes a graph neural network architecture to learn representations for directed acyclic graphs specifically the proposed method performs the aggregation of the representations from neighboring nodes in the topological order defined by the dag with a novel topological batching scheme which allows to proces... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provided an insight into the benign overfitting of convolutional neural networks by inspecting the last hidden layer representations of the networks they observed and proposed an explanation of th... | this paper presented a perspective into explaining why overparameterized neural networks still generalize well by studying the statistical properties of the last layer representations the paper showed that neural networks learn redundant representations instead of overfitting to spurious correlations this is an importa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper set out to solve the domain discrepancy issue between source architecture space and the target space in neural architecture predictors the paper proposed a progressive subspace adaptation strategy... | this paper introduces ideas from domain adaptation to improve nas leveraging leverage existing nas bench to predict outofdomain architectures performance this is an important question that has been overlooked and the authors propose to learn a predictor via closing the domain feature gap between source and target archi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies withinclass variability which reduces along the layers of deep neural networks they mainly question the effect of sparsity and softthresholding introduced by relu they show that these cla... | this paper proposes that the superior performance of modern convolutional networks is partly due to a phase collapse mechanism that eliminates spatial variability while ensuring linear class separation to support their hypothesis authors introduce a complexvalued convolutional network called learned scattering network... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses insight from bayesian optimal experimental design and define an acquisition function which quantifies information gain about an mdps optimal solution given a stateaction pair such an acquisi... | in this paper the authors introduce an exploration method for rl according to experimental design perspective via designing an acquisition function which quantifies how much information a stateaction pair would provide about the optimal solution to a markov decision process and the stateaction that maximizes such acqui... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on injecting backdoors into a trained clean model the authors provide a theoretical analysis to illustrate why the variations are always awp or small weight perturbations in this circumst... | this paper proposes measures of consistency between backdoored and clean models proposes regularization using those consistency measures and showcases that such trained models indeed exhibit better consistency also it is demonstrated that the finetuned model does not deviate too far from the original clean model the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper suggests a new architecture for representing and predicting properties of molecules pixel chem the authors report that this architecture produces better results than previous methods on one of th... | i would like to highlight to the pcs that reviewers highlighted clear evidence of plagiarism from prior work which i was able to easily verify a full paragraph of text was copied wordforword from a paper describing one of the baselines the current work compares against further all reviewers unanimously agreed that the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to leverage the geometric and relational aspects of the 3d structure simultaneously with the proposed gvp layer the approach extends standard dense layers the authors claim that gnns with su... | this work uses a graph representation of the protein backbone and a gnn for model quality assessment mqa and protein design the proposed gnn has the property that the vector and scalar outputs are equivariant and invariant with respect to composition of 3d rotations and reflections overall speaking the reviewers like t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a data augementation that is task driven their approach leverages the output of the model predictive controller to generate adversarial scenarios that are use to retrain the perceptual m... | this paper proposes to generate taskspecific data augmentation to improve the robustness of visionbased robotic control the adversarial dataset for augmentation is synthesized based on the sensitivity analysis of a differential mpc framework the paper shows that these adversarial datasets improve the performance of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates a collection of primitive agents that learns to selfassemble into complex collectives to solve control tasks the motivation of the paper is interesting the project videos are attract... | strengths a coevolution of body connectivity and its topology mimicing control policy is presented weaknesses reviewers found the paper to be lacking in detail the importance of message passing in achieving the given results is clear on one example but not some others some reviewers had questions regarding the baselin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the following problem how to train a certifiably robust classifier with ensemble methods the authors considered two types of ensembles the weightedaverage ensemble and largemargin ensembl... | i thank the authors and reviewers for the lively discussions although reviewers agreed the work is interesting there are some concerns about the significance of the results and experiments none of the reviewers were strongly supportive of the paper while majority of them suggest that the paper needs a bit more work bef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose an extension of mixture density networks to the continuous domain named compound density networks specifically the paper builds on top of the idea of the ensemble neural net... | reviewers are in a consensus and weakly recommended to reject after engaging with the authors with the reviewers updating their scores on dec 11 after engagement the authors answered most of the reviewers concerns however from further discussions with the reviewers there are still some points which lead them to rank t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper highlights a major flaw with the commonlyused ecetextbin calibration metric namely that it is biased for perfectlycalibrated models through a large number of empirical experiments inclu... | the paper proposes an adjustment to the ece metric to make it less biased in the small sample case by including the assumption that the confidence output by a classifier is monotonic with the true correctness probability the main idea is to successively make finer bins until a nonmonotonicity is observed the paper is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors describe pif a method to disentangle social influence from other underlying factors of proples behavior the question addressed is whether knowing the connections between people the fact that a u... | this is an interesting contribution to an important problem in causal inference the problem setting has a number of unusual features as noted by reviewers most notably limiting itself to two time periods with no confounding in the first period but these are stylized features of the literature which everyone agrees are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a novel view synthesis method for dynamic scenes using a deformable voxel formation they show that using this representation is hard to train as there are large number of parameters sp de... | reviewers are in agreement that the paper addresses an important task modelling dynamic scenes and is well presented and written reviewer 7cq7 considers that the 2stage capture is a limitation and it is correct that the most general solution towards which the field strives to move is a small number of moving or static... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies how weightdecayed parallel relu networks are able to estimate functions with heterogeneous smoothness in the bounded variance and besov classes in particular the authors show that the weig... | this paper considers the generalization error of neural networks when approximating a specific set of functions the main contribution of this paper is showing a rate of neural network generalization error which is better than linear functions the major problems of this paper are 1 missing an important sequence of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new type of separable convolution to improve convnet efficiency based on a few assumptions receptive field condition channel condition group conv condition it mathematically calculate ... | this paper introduces a novel convolutionlike operator called optimal separable convolution which is based on minimizing number of operations given a fixed receptive field authors provide further empirical results to show the effectiveness of their proposed operator overall this is a very interesting work there is a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
while using only the attentionbased unet shows higher accuracy method d and using only the 3d unet shows better recall method e the method proposed in the paper seems to make a tradeoff between the two metr... | while the described method itself might have some merit both reviewer remark on limited novelty of the presented work and only marginally improved results they also point out that own prior conference work is not properly cited and the evaluation is too limited i therefore cannot recommend acceptance as this type of pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper questions the status quo of using l2loss for optimizing pinns theoretical results show that a learned solution to hjb is z1 z2 z3stable iff the physicsinformed loss uses lp loss with sufficiently ... | the reviewers reached a consensus that this paper meets the bar for being accepted at neurips and therefore the ac recommends acceptance please refers to the reviews and authors responses for reviewers opinion on the strength and weakness of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new grammarbased generative model for the molecule generation task the graph grammar is defined as a set of production rules that operate on module graphs ie the molecule graphs are ... | this paper presents an approach to learn graph grammars for molecule generation in a very dataefficient way the approach combines bottomup grammar construction by contracting graph substructures and evaluationdriven learning of the parameters in grammar construction in order to optimize metrics of interest this paper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper draws an interesting research question why instance discrimination id pretraining good for transfer learning the authors dissect id for transfer learning by extensively comparing with su... | the paper aims at understanding why selfsupervisedcontrastive learning methods transfer well when used as pretraining for finetuning downstream tasks compared to eg supervised pretraining based on the crossentropy loss three reviewers recommend acceptance whereas one reviewer recommends borderline rejection arguing t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors advocate for classstratified weighted macroaveraging as an appropriate scalarvalued evaluation for classification under classimbalance in the absence of domain expert specified weights they also... | although two reviewers have given score 6 the other reviews have clearly indicated that the paper is not good enough for iclr the paper does not give any new insight into the considered problem many existing papers are ignored and the only interesting part about evaluation of label importance is rather very shallow bor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a method for learning a deep neural network for multiview stereo the overall network includes featureextraction layers applied to all images followed by a spatialtransformer network whic... | a deep neural network pipeline for multiview stereo is presented after rebuttal and discussion all reviewers learn toward accepting the paper reviewer3 points to good results but is concerned that the technical aspects are somewhat straightforward and thus the contribution in this area is limited the ac concurs with th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a rowrank approximation of embeddings using anchors it also proposes a probabilistic interpretation of their method as a nonparametric bayesian dictionary learning model which can be i... | this paper proposes a method to cope with large vocabulary sizes the idea is to find a small number of anchor words and to express every other word as a sparse nonnegative linear combination of them they give an endtoend method for training and give a statistical interpretation of their algorithm as a bayesian nonparam... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to tackle the problem of large discrete action spaces in multiagent mdps mmdps where the number of actions rises exponentially with the number of agents the paper proposes to embed agreed pri... | while the ideas in this paper are promising there are issues with the papers presentation and experimental results the paper needs to be further updated to clarify the proposed method and discuss additional related work more extensive experimental results are also needed to show the benefits of the proposed approach |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a memoryaugmented optimizer to make use of the history information of the gradients the motivation is that the aggregation of past gradients nudges parameter updates in a better direction... | the paper proposes a general method to enhance the performance of firstorder optimizers the main idea is to use a memory buffer to maintain a limited set of critical gradients from recent history namely gradients with large l2 norm the paper includes a convergence proof on strongly convex smooth objectives experimental... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the scope of reproducibility is clearly presented it seems the author does not reuse the original papers code and reimplement the experiments via pytorchlightning the authors codebase is provided with cl... | a very strong reproducibility study that verifies most of the claims made in the original paper the authors also present results beyond the paper to investigate the effectiveness of the method which is impressive it seems like the authors use a different set of hyperparameters as opposed to the original paper and we fe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies semantic segmentation the authors developed a gaussian mixturebased generative semantic segmentation model the experimental results on serval datasets demonstrate the effectiveness of the... | this paper proposes to learn generative model mixture of gaussian on the discriminative features the proposed method achieves strong performance on semantic segmentation and it is capable of anomaly detection the paper was reviewed by 4 reviewers reviewer o8w9 rating 5 pointed out 2 missing references and asked abo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 paper is very well written and provides a good justification of their motivation with a sufficient literature review 2 the paper advances current stateoftheart by extending pacbayesian adaptation bounds ... | meta review all reviewers felt that the paper is worthy of publication for preparing the cameraready version please ensure that you take the reviewers comments into account and make the paper as accessible as possible to a broader audience |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a modification to the neural ratio estimation nre algorithm in the form of a regularization penalty to avoid overconfident posterior distributions the authors support their claim by intr... | the paper proposes a modification to the neural ratio estimation algorithm in the context of sbi simulationbased inference that tends to avoid overconfident posteriors this is important for applications for example in scientific discovery where excluding plausible inferences can be more detrimental than including impla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes cplanning a method that generates subgoals for distant goalreaching tasks the method is built upon the clearning method which learns a goalcondition policy together with a function that ... | all reviewers appreciate the suggested em approach to goalconditioned longhorizon reinforcement learning and the technical contributions of the paper while there is a mix in ratings even the most critical reviewers feels that the paper has clear merits and is acceptable and there are two solid acceptance recommendation... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a clever trick to make instance contrastive learning faster by using the intermediate feature layers to perform the contrastive loss rather than just using the final 2048d meanpo... | this paper introduces modifications that allow to make the training of contrastivelearningbased models practical the goal of the paper is very interesting and the motivation clear this paper tackles a very important issue with recent unsupervised feature learning methods however while the goal is great the present subm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an optimization based formulation of fair principal components analysis problem with a particular focus on the robustness of the optimal models in the case when the desired robustness is ... | this paper considers the problem of distributionally robust fair pca for binary sensitive variables the main modeling contribution of the paper is the consideration of fairness and robustness of the pca simultaneously and the main technical contribution of the paper is the provision of a riemannian subgradient descent ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i have read the authors response and decided to keep my review confidence and score summary this paper generalizes existing decision trees to some neuralstyle model the most critical argument is ... | the paper provides a neural generalization of decision trees with the idea of maintaining interpretability the approach falls a bit short on theoretical grounds for example the main theorem portraying interpretability isnt properly defined and some definitions appear implicitly in the proof the view of decision trees a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
they propose a method of accelerating neural architecture search by using a teacher network to predict combined with immature performance the mature performance of candidate architectures allowing them to ... | the authors propose to accelerate neural architecture search by using feature similarity with a given teacher network to measure how good a new candidate architecture is the experiments show that the method accelerates architecture search and has competitive performance however both reviewers 1 and 3 noted questionable... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deals with the problem of uncertainty estimation it proposed spatial smoothing a method that ensembles neighboring feature map points of cnns to alleviate the computational issues with bayesian nn... | this paper proposed a spatial smoothing layer for cnns which is composed out of a feature range bounding layer referred to as prob and a bluring layer referred to as blur an empirical analyses shows that the proposed layer improves the accuracy and uncertainty of both deterministic cnns and bayesian nn bnns approximat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a framework emrbr for doing knowledge base kb completion instead of the direct triple score from an embedding based method emrbr allows the triple score to be calculated as a composition ... | the paper combines logical reasoning and statistical methods to improve knowledge graph completion rules are mined from the kg using amie and recursive backward steps are taken using the mined rules to determine if a fact is true the reviewers agree that the paper can be improved by explaining more details of the metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors work out a method that given a structural equation model having exponential family conditional densities returnscomputes the worstcase loss ie negative loglikelihood of any predictive model fitt... | this paper studies the important problem of structured distribution shifts departing from previous works that use worstcase regions based on distance measures fdivergences wasserstein distances the authors construct an interesting framework based on a partially specified structural causal model the proposed framework a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem this paper addresses the problem on predicting amodal segmentation masks of objects using full sequences of videos depicting the object in different states of occlusion solution in this work a nov... | the paper develops a system for amodal object segmentation in video trained in a selfsupervised manner by requiring consistency between amodal and modal masks as well as amodal masks estimated for a frame and those temporally propagated according to estimated object motion after rebuttal and discussion all reviewers f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a video instance segmentation method for simultaneously segmenting and tracking objects in video sequences the proposed perframe method first uses the querybased maskformer 27 to segment ... | all four reviewers are positive about this work reviewers appreciate the clear writing simple yet highly effective idea and strong experimental validation on three video instance segmentation datasets the authors responses further clarified and sufficiently addressed the concerns from the reviewers the ac reads the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of controlling the dynamics of a networked dynamical system under partial observations such systems arise in a number of applications and therefore the control problem is impor... | the paper considers the problem of controlling the dynamics of a networked dynamical system under partial observations considering a reduced order system from coarse data and providing approximation bounds and an empirical evaluation reviewers agree it is a borderline paper technical results are nontrivial and it int... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i think the idea of the paper is good the empirical evaluation seems to supplement this claim the experimental evaluation is also decent enough the exposition of the paper is very poor i feel that the paper... | meta review the reviewers have quite divergent opinions towards this paper generally the reviewers recognize that the problem is well studied with extensive experiments and proper theoretical justifications while there still exist several issues the authors have provided additional results and clarifications and the mo... |
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