Input stringlengths 251 41.6k | Output stringlengths 137 9.7k | input_ids listlengths 157 2.05k | attention_mask listlengths 157 2.05k | labels listlengths 157 2.05k |
|---|---|---|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies why and when averaging the weights of a model improve outofdomain generalization by way of a new a biasvariancecovariancelocality decomposition of the expected target domain error they sho... | the reviewers unanimously recommend accepting the paper congratulations my only concern is in the related work the submission mentions the recent model soups by wortsman et al 28 developed a wa algorithm similar to algorithm 1 however the task the theoretical analysis and most importantly the goals of these two wor... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an inductive graph partitioning igp framework across multiple snapshots of a dynamic graph to produce an effective partitioning of the graph igp is based on training on the snapshots of ... | this paper considers an important problem graph partitioning from a transductive viewpoint assuming that the graphs are generated by independent draws from an unknown distribution learn some parameters in an offline phase and use these in the online phase much as in pac learning the authors have also answered many of t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper propose to address the heteroscedastic regression problem using deep neural networks it assumes the variance of heteroscedastic noise is known as privileged information and suggests to reweight th... | the manuscript presents a deep network approach for heteroscedastic regression problem it assumes the variance of heteroscedastic noise is known as privileged information and suggests to reweight the samples by their noise variance in the loss three reviewers agreed that the manuscript is not ready for publication the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose knodempconline an mpc that relies on knowledge based neural ordinary differential equations as dynamic models and updates the model online using neural networks experiments... | strengths interesting combination of mpc and knode knowledgebased neural differential equations hardware experiments with the crazyflie with an external computer weaknesses no detail about the solver and more importantly about the overall computing cost of the approach especially for long experiment more data no... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a metalearning method that uses natural language to describe features the natural language feature description can be encoded with pretrained models in the same way for different tasks t... | this paper presents a novel metalearning approach based on learning a sentence encoder which maps feature descriptions to embeddings the sentence encoder is shown to generalize to new tasks during the test phase hence allowing fewshot learning the main concern raised by the reviewers was about the use of only two datas... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the paper the authors propose to minimize the discrepancy between pairs of conditional neural axioms to align the embedding spaces of different kgs this method is justified by the authors study of all ki... | the authors study the problem of augmenting embeddingbased entity alignment in knowledge graphs kg through the use of joint alignment with deduced neural ontologies more specifically alignment of the kg neural axioms motivated by the observation that the representation between two potentially aligned entities must be b... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes carlane a 3way simtoreal domain adaptation benchmark for 2d lane detection which encompasses the singletarget datasets molane tulane and the multitarget dataset mulane compensates for da... | the meta reviewer has read the paper rebuttal reviews and the authors revision the meta reviewer agrees with the reviewers that this lane benchmark is of interest to uda and the authors release the data tool and source codes to support their claimed contribution the meta reviewer thus recommends acceptance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the manuscript the authors propose squant which is a datafree quantization method that can apply posttraining quantization ptq without any backpropagation specifically squant is taking advantage of appr... | the authors propose a datafree quantization method that can be applied posttraining quantization without backpropagation the method takes advantage of approximate hessian information in a certain scalable approximate way based on the assumptions and deductions in the paper squant tries to optimize constrained absolute... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an automated metric based on mutual information divergence for multimodal generative models the method exploits gaussian mutual information framework and crossmutual information it uses ... | the paper studies the evaluation metric for multimodal generation models the authors propose a method mid based on estimating mutual information of visual and text embeddings at sample and distribution level from experiments the mid correlates with human evaluation on multiple tasks texttoimage and image captioning the... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two selfsupervised pretraining tasks to further pretrain a pretrained language model for commonsense reasoning the first task is called concepttosentence generation which reconstructs in... | this paper presents two selfsupervised learning objectives that can be used as intermediate pretraining tasks to refine the t5 sequencetosequence model between pretraining and task finetuning it shows that at small to moderate model sizes adding this step significantly improves performance on commonsenseoriented target... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new tabular deep learning architecture based on sharing attention matrices enable transformers and linear layers comparisons with other tabular learning models on various benchmarks are... | this paper proposes a method to use transformers with tabular data by sharing attention reviewers raise significant concerns about the motivation writing and experimental results authors did not submit a response hence i recommend rejection | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is a purely theoretical contribution no code or experiments on parameter identifiability for a deep relu network the main contribution is to give criteria for when the behavior of the function pa... | ratings 655 confidence 343 discussion among reviewers no this paper provides results on local identifiability of deep relu networks identifiability of neural networks is an important theoretical topic with practical implications such as reproducability and we think the neurips community would find the material interes... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tests performance of different node similarity measures when used in kmeans for clustering lfr graphs it provides recommendations for which measure is more appropriate for different parameter spa... | this paper studies various graph measures in depth the paper was reviewed by three expert reviewers who complemented the ease of understanding because of clear writing but they also expressed concerns for limited novelty theoretical justification and unrealistic setting the authors are encouraged to continue research ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main contributions 1 novel algorithm for linear bandits 2 upper and lower performance bounds 3 numerical experiments 4 smaller comparision and collation of existing methods the authors propose a new a... | this paper proposed an algorithm and presented a good theoretical evaluation in particular the tight lower bound is a nice theoretical contribution it is also good that it appears to be descriptively and mathematically sound the novelty of the algorithm has been questioned by some reviewers but even with that contribu... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops highdegree lower bounds for the sparse pca and tensor pca problems for both of these problems there is a wellknown discrepancy between the statistical complexity ie samples or snr requir... | the reviewers appreciate the solid theoretical results on the hardness of sparse and tensor pca the nearly sharp characterization of limitations of sumofsquare methods makes the paper stand out the proof techniques may potentially be useful for other problems based on the above i recommend acceptance meanwhile please c... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written and interesting to read the experimental setup is made very clear and results are nicely portrayed alone the motivation for wbmri synthesis does not convey completely from the very... | this paper compares several gan methods for generating pediatric wbmri images the paper is well written and results although limited are clear and interesting the reviewers see merits in such a short paper and mostly think that it is worth to be presented at midl | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper first introduces and describes multilexsum a benchmark for multidocument summarization and three levels of granularity l s t multilexsum consists of the documents comprising the docket for cases t... | this is a very highquality dataset which is especially noteworthy since legal nlp benchmarks are very difficult to build the authors approached every aspect of the process with extreme care it will likely have an impact on law practice and start interesting discussions about the use of ml in these settings the paper is... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this review is a collaboration between a senior and a junior reviewer the junior wrote most of the review and the senior modified the review both reviewers read the paper in detail summary this paper pres... | the authors propose to improve the lms ability on modelling entities by signalling the existence of entities and also allowing the model to represent entities also as units the embeddings of the surface form and then entity unit are then added and passed through a layer to predict the next word the paper evaluates on q... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i find the idea of explaining the space of plans to the goal to be interesting and i believe using ilp for that is novel too the paper is mostly well written though it could benefit from a short conclusion ... | both reviewers agree that the paper presents a novel solution ie the use of ilpbased techniques to a very relevant problem ie explaining a space of plans the reviewer does point to some clarity issues in particular inconsistent or incongruent use of some terms in particular the term pathfinding i hope the authors will ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission considers the problem of reconstructing private data from gradients in a federated learning system which has been recently shown to a threat in distributed learning systems two types of feder... | this paper focuses attacks on federated learning the reviewers had the following concerns the assumption of knowledge of batch indices is unrealistic in an hfl setting the setup only works when doing a single epoch i believe the authors claim that it is applicable in more general settings but evidence to that effect ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript describes a connection between potts models and attention as implemented in modern transformers the authors then present an attention model in which positional encodings are defined as oneho... | the paper shows a connection between potts model and transformers and uses the connection to propose a factored attention energy to use in an mrf results are shown using this energy based on factored attention also pretrained bert models are used to predict contact maps as a comparison the reviewers found the paper int... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper devises an approach to semantically encode ordinal categorical features as numerical features by using pretrained language models when preprocessing tabular data named bertsort in addition this p... | this paper considers preprocessing of categorical features by treating them as text to which a pretrained transformer like bert is used to identify what would be the most likely ordering of these words in a natural corpus i would like to thank the authors for actively addressing reviewers comments or providing clarif... | [
50276,
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper linear algebra with transformers studies the application of seq2seq transformers to matrix operations it studies their performance across different encodings of floating point numbers diffe... | the paper demonstrates that transformer architectures can be trained to compute solutions of linear algebra problems with high accuracy this is an interesting direction and as the the reviews and the discussion show it is a good data point and insightful as one reviewer puts it i fully agree with this but also agree wi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a pretraining method lime to improve transformers performance on mathematical reasoning benchmarks specifically this paper design three synthetic tasks to teach the transformer ... | the authors propose a pretraining strategy learning inductive biases in transformers for deduction induction and abduction further the claims and results seem to indicate that such pretraining is more successful in transformers which provide a more malleable architecture for learning inductive structural biases ther... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary authors propose an interesting approach to do shapetailored spatial filtering and encode equivariance constraints by using solutions of specifically constructed poisson pdes this leads to a signific... | the reviews were somewhat mixed with reviewers raising some issues with the clarity of the submission and concerns about the need for morebetter experimental tests nonetheless all reviewers agreed that this is an interesting approach with great promise to deliver a robust theorybacked impact of practical relevance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes an information bottleneck method dropbottleneck that allows the input to be compressed by dropping each input feature with probability pi the model then learns the drop probabili... | this paper proposes to enhance the robustness of rl and supervised learning algorithms to noise in the observations by dropping input features that are irrelevant for the task it relies on the information bottleneck framework well derived in the paper and learns a parametric compression of the input features that sets ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper builds upon previous lines of research on multitask learning problem such as conditional latent variable models including the neural process as shown by the extensive related work section this see... | the authors present a bayesian approach for context aggregation in neural processes based models the article is well written and provides a nice and comprehensive framework the reviewers raised some issues regarding the lack of comparisons to proper baselines the authors provided additional comparisons in the revised v... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the draft proposes a heuristic combining environment rewards with an irlstyle rewards recovered from expert demonstrations seeking to extend the gail approach to irl to the case of mismatching action spaces... | this paper proposes to combine rewards obtained through irl from rewards coming from the environment and evaluate the algorithm on grid world environments the problem setting is important and of interest to the iclr community while the revised paper addresses the concerns about the lack of a stochastic environment prob... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper combines insights from modular metalearning lifelong learning and rl to arrive at a system that can learn online to train modules that can be recombined to solve future tasks without further trai... | the paper presents a method for compositional task learning in the continual rl setting by composing and reconfiguring neural modules the method is evaluated on minigrids and simulated robot manipulation tasks the reviewers agree and i concur that the paper proposes an interesting solution to a difficult and important... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to my knowledge this paper is probably the first one to apply fewshot learning concept into highlevel computer vision tasks in this papers sense segmentation it proposes a general framework to few from the ... | paper proposes a metalearning approach to interactive segmentation after the author response r2 and r3 recommend rejecting this paper citing concerns of limited novelty and insufficient experimental evaluation given the popularity of this topic in computer vision r1 does not seem be familiar with the extensive literatu... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose algorithms for closest fair ranking and fair rank aggregation problems specifically they consider two notions of fairness weak a bfair up to a prefix k of the ranking and strong fair... | reviewers liked the novelty in the fair range aggregation problem and enjoyed the simplicity of the proposed algorithms the theoretical results are solid though the proof techniques are believed to be standard there is a large room to improve the quality of presentation reviewers opinions stayed the same after rebuttal... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper argues that in the wisdomofthecrowd paradigm plurality voting may not necessarily yield the correct answer when the majority makes systematic errors the paper presents a theoretical framework to ... | this work proposes the framework to elicit peoples thinking hierarchy that helps improve the wisdom of the crowd even if the majority is wrong the reviewers overall appreciate the main idea of the work and believe it makes a nice contribution to the literature there have been some questionsconcerns raised about the ef... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the federated generalized linear bandits problem where each client faces a generalized linear bandits model the parameters and the link functions across clients are the same the learning ... | federated bandits are a current area of interest within the community and the paper provides valuable contributions in particular the authors deal with the rather general glm setting provide algorithms and study the regret it would be useful if the authors would use the discussions with the reviewers and the reviewers ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies how randomly initialized relu networks split the data into linear regions it is based on hanin and rolnick 2019a but focuses on data with low dimensional manifold structure it provides an... | the paper studies the number of linear regions cut out by a randomly initialized deep network for data with lowdimensional structure manifold structured data the main results pertain to the density of linear regions and the average distance to the boundary of a linear region these results take the same form as in the e... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
trustworthy ai is of interest to many as systems are quickly being deployed in the real world there is a chance that the models being deployed may contain a backdoor policy which acts maliciously when trigg... | the authors present a novel algorithm for defending against backdoor policies in reinforcement learning rl the main idea is to project observations onto a safe subspace which cleans out the backdoor the authors present both empirical finds and theoretical results for their method there was an active discussion betw... | [
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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 new method based on learnable hash functions to reduce the on2 cost of selfattention in transformers to on15 as previously known for bucketbased approaches this cost is only achieved... | this paper adds to the literature of efficient sparse attention for longrange transformer architectures a learned hash function is proposed by building successfully upon contributions from previous work a similar idea appears in contemporary work but with clear and complementary differences the reviewers are convinced... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents a method to efficiently sample from a pretrained ddpm by solving a dynamic programming problem that can maximize the log likelihood of the data samples given a fixed computational budget ... | this paper proposes a dynamic programming strategy for faster approximate generation in denoising diffusion probabilistic models all reviewers appreciated the paper but they are not overly excited two reviewers are focused on the log likelihood not being the objective for image quality this ac does not really buy th... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a probabilistic framework to improve the classification accuracy in instances when there exists missing data in the multimodality datasets where one of the modalities is the predictive l... | three experts reviewed this paper and all recommended rejection the rebuttal did not change the reviewers recommendations the reviewers was not excited by the proposed probabilistic framework and raised many concerns regarding the comparison with baselines and competing methods limited size of datasets and limited scop... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a hierarchical memory to store features at different semantic levels for fewshot learning across domains it introduces a hierarchical prototype model where each level of the prototypes f... | this paper presents a hierarchical memory for cross domain and few shot classification problems the paper is well written tackles an important topic and the proposed approach which is an extension of vsm is interesting reviewer yexz has some concerns regarding comparison to a more proper baseline i believe that the aut... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies an online learning and contextual pricing problem with semiparametric partially linear demand models where the demand function is the sum of a linear function with an unknown coefficients ... | the reviewers found the paper to be novel and interesting the introduced model was found to be innovative and leading to cleanerbetter regret bounds the only major concern that was raised and not resolved was lack of technical novelty however it seems that this work provides new and relevant results to the existing li... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on estimating treatment effects under a limited overlap ie subjects with specific characteristics might only belong to one treatment group to solve this problem the authors propose a vari... | in this paper the authors proposed a method for causal inference under limited overlap an important and understudied complication the authors propose to recover a prognostic score using a variational autoencoder and thereby map a higher dimensional set of covariates with limited overlap to a lower dimensional set whe... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a python package for projecting onto quadratic hypersurfaces the basic problem it solves is to minimizing projection errors in hilbert space subject to xt a x bt x c 0 the authors sho... | the paper presents a software package to do projections on the noncylindrical central quadratic hypersurfaces while the problem is certainly interesting all the reviewers agree its motivation in the context of machine learning seems to be lacking in the paper this is missing in the paper currently and is the main sourc... | [
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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 the problem of domain adaptation under open set label shift osls where the classconditional distributions pxy are domaininvariant and py can change domain adaptation under label shift... | the paper addresses an interesting domain adataption question and proposes an novel and elegant solution supported with relevant theory although some issues have been raised all reviewers agree that the paper worth be published and we expect the authors to take into account the comments of the reviewers eg discussing l... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper points out the previous offline reinforcement learning methods are too conservative about the outofdistribution ood actions and instead propose a mild conservative algorithm it introduces an auxi... | all reviewers are generally positive or borderline about this paper reviewers note that the method is theoretically sound and practical to implement even though all of the components have been explored previously the authors combine them in a novel approach that convincingly improves over prior works major concerns h... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies models trained with alphazero for the game of hex the paper applies techniques from the nlp literature to investigate whether the learned model learns concepts usually taught to human pla... | this paper uses methods from interpretability to study the knowledge learned by alphazero in the game of hex in particular the networks outputs are correlated with various handdesigned features the reviewers are all in agreement that there are some interesting contributions there was some comparison with mcgrath et al... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a tomographic autoencoder tae for unsupervised recovery of corrupted data more specifically tae takes a bayesian approach to recover the posterior distribution of a clean image condition... | summary the authors propose a bayesian approach to data cleaning implemented via a variational autoencoder they argue that a common problem in this context are posteriors that overfit by concentrating on a lowdimensional subset and introduce an optimization target intended to discourage that behavior discussion argu... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
first of all i want to point something out i found quite bothersome the abstract states a desirable agent should be capable of balancing between different subtasks navigation to find enemies and shooting t... | the reviewers agreed that the paper presents interesting ideas but the presentation of the paper needs be improved also the experiments and the related work section need be improved | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a tracking algorithm by designing a modamixer and asymmetrical networks to learn unifiedadaptive vl representation the combination of the two modules gives very good results applying lan... | all three reviewers lean towards the acceptance of the paper reviewer yvur was not 100 excited about the paper pointing out the simplicity of the approach and lacking ablations we encourage the authors to include the new materials they prepared for the rebuttal in the final version of the paper | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies adversarial training of robust classification models it is based on pgd training in madry17 it proposes two points 1 add attention schemes 2 add a feature regularization loss the results ... | the paper proposes an attention mechanism to focus on robust features in the context of adversarial attacks reviewers asked for more intuition more results and more experiments with different attackdefense models authors have added experimental results and provided some intuition of their proposed approach overall revi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the idea that the current formulation of disentangled latent representations of data that have been presented are implausible in the sense that the factors are often not actually indepen... | this is a borderline case quite comparable to the other borderline case in my batch the paper has received careful reviews and based on my weighting of the different arguments i arrive at an average score between 575 and 6 the authors present some worthwhile ideas related to disentanglement that deserves more attention... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work attempts to learn improved slotbased object representations and video segmentations with the help of the slateimage gpt 2 decoder the model is evaluated on several datasets included ones generated... | the paper proposes a method for unsupervised learning of objects from videos in particular the proposed approach combines two existing ideas a recurrent slotbased architecture like savi and an autoregressive image decoder like slate the methods is thoroughly evaluated and shown to outperform the relevant baselines af... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a robust training against the union of lp threat models ie training a robust model in linf l2 l1 threat models the key idea is to use a nuclear normbased training procedure called ncat ... | this paper received mixed recommendations that range from borderline reject to strong accept after examining all reviewers comments author rebuttal and the paper itself i lean toward acceptance mainly because i it seems that the author responses have addressed reviewers main concerns although some reviewers did not res... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents plasticinelab a differentiable physics environment geared towards softbody manipulation by implementing a softened rigiddeformable contact interface and by leveraging recent advances in... | this paper proposes a new differentiable physics benchmark for softbody manipulation the proposed benchmark is based on the difftaichi system several existing reinforcement learning algorithms are evaluated on this benchmark the paper identify a set of key challenges that are posed by this specific benchmark to rl alg... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a soft gradientbased subword tokenization gbst module with the aim of improving tokenizerfree endtoend training of language models the gbst module takes a bytelevel sequence and computes... | this paper introduces a soft gradientbased subword tokenization module gbst that learns latent subword representations from characters gbst enumerates candidate subword blocks and learns to score them in a positionwise fashion using a block scoring network the resulting model was tested on glue and several crosslingual... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors tighten the analysis of the minimum width for universal approximation with relu networks for lp functions where they have an exact characterization in terms of the input and output dime... | two knowledgeable reviewers and one fairly confident reviewer were positive 7 about this submission the authors response clarified a few questions and comments from the initial reviews the paper provides exact bounds that close the gap between lower and upper bounds and that helps us understand these networks better wi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a regularizer for training dnns specifically adding the trace of the hessian wrt the parameters of the model they present two efficient stochastic estimators of the trace based on the h... | this paper regularizes deep neural networks via the hessian trace the algorithm is based on hutchisons method further accelerated via dropout connection to the linear stability of dynamical system is discussed the proposed regularization shows favorably in the experimental results the idea of the method is clear t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to learn the cloth deformation of a tshirt given the skeletal pose of an upper body the method skins a thick tetrahedral mesh to the skeleton and embeds the tshirts cloth within... | three of the four reviewers recommend rejection one additional reviewer considers the paper to be marginally above threshold for acceptance but is very uncertain and this is taken into account the ac is in consensus with the first three reviewers that this paper is not ready yet for publication there is concern fro... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new architecture called the blockrecurrent transformer input sequences are chunked as a block and each block is operated by a transformer layer each block is connected with a recurrent... | this paper describes a modification to the transformer architecture to use blockrecurrence to more accurately model very long sequences borrowing some ideas from the lstm the idea is fairly simple to implement as it doesnt require much code over a traditional transformer and results seem good if not completely overwhel... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies mathcalsmathcalt protocol in metalearning which means comparing a taskspecific solver to a target model the main contribution of this paper is proposing an efficient method to construct t... | this submission proposes a strategy to improve metalearning that can be applied to many different base metalearning methods the base metalearning method is used to independently adapt both the online network whose parameters are being optimized and a momentum network constructed by taking an exponential moving average ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes lodl as a surrogate to replace the original optimization loss while approximately providing gradient information of the original optimization loss the key argument is that the gradient i... | this paper considers the problem of making decisionfocused learning dfl more usable for both researchers and practitioners it proposes a novel approach referred to as locallyoptimized decision losses lodl which learns the parameters of surrogate intermediate losses to match the decision loss experimental results clearl... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work attempts to improve drl based mixedprecision network compression compared to the standard actioncritic method he proposed method inserts an additional candidate evaluation step on k proposed actio... | this paper proposes a simple yet effective approach for determining weight quantization bit lengths using rl all the reviewers agree that the simplicity and performance improvements are a strong plus point there are some concerns on applicability which have been sufficiently handled by rebuttal ac recommends accepting ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors claimed in this paper that as the most empirically successful approach to defending adversarial examples pgdbased adversarial training is computationally inefficient fast adversarial training co... | this paper first investigates the behavior eg catastrophic overfitting of fast adversarial training fastadv through experiments it finds that the key to its success is the ability to recover from overfitting to weak attacks then it presents a simple fix fastadv that incorporates pgd adversarial training when catastroph... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i think this paper conducts several interesting analysis about mt hallucinations and also proposes several different ways of reducing this effect my questions are as follows i am very curious about how do... | strengths hallucinations are a problem for seq2seq models esp trained on small datasets weankesses hallucinations are known to exists the analyses observations are not very novel the considered space of hallucinations source ie added noise is fairly limited it is not clear that these are the most natural sour... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper evaluates and compares various methods for learning gans in a continual learning setting ie only some of the classes are available during training it evaluates different continual learning method... | this paper presents empirical evaluation and comparison of different generative models such as gans and vae in the continual learning setting to avoid catastrophic forgetting the following strategies are considered rehearsal regularization generative replay and finetuning the empirical evaluations are carried out usin... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a great recommender system relies on great training set however at the beginning there is no such data availability this paper tries to solve the zeroshot recommendation problem where there is no user or it... | the authors propose zeroshot recommendations a scenario in which knowledge from a recommender system enables a second recommender system to provide recommendations in a new domain ie new users new items the idea developed by the authors is to transfer knowledge through the item content information and the user behavio... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows sketching methods to speed up iterative hessian sketch ihs and hessian regression with decently accurate subspaces learned from qr decomposition ihs and hessian regression achieve faster co... | this paper proposes a new contribution in the recent literature on learning distributions of sketches while all reviewers have recognized the overall good quality of the presentation two factors seem to weight heavily on a negative decision clarifications on the contributions scope presented as a tool for general hessi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of privately generating synthetic datasets based on a private dataset for which each data point is a mix of numerical and categorical variables the bestperforming past approa... | this paper provides a method for generating synthetic differentiallyprivate datasets for use in answering statistical queries including mixed marginal queries class conditional linear threshold queries and querying the error the is an improvement over previous work a solid paper that all reviewers are positive about | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is an empirical study looking at how different dataset properties affect model calibration in the context of vision tasks all experiments use a specific wellknown vision model resnet 50 in parti... | the authors empirically analyse the properties of datasets which lead to poor calibration in particular they show that high class imbalance high degree of label noise and small dataset size are all likely to lead to poor overall calibration or poor perclass calibration while there are some interesting insights in this ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an empirical study of whether modularity can emerge within neural networks it starts by proposing a novel definition of modularity that identifies modules by their functionality to discov... | this is a paper that is actively discussed the general sentiment is that this paper aims to address an important set of questions while the technique could be improved with more novelty the empirical study is extensive the concerns are about how to interpret the results or rather whether the empirical evidence fully s... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
two algorithms to deal with a map covering problem where there are unknown obstacles is proposed the first algorithm is a single agent algorithm in which it needs to deal with the explorationexploitation di... | this paper presents a novel method for multiagent coverage control over an unknown density and safety constraints there is some concern about the level of significance of the approach but it is interesting and sound there were also concerns about scalability and the use of gps for density modeling but the authors have ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
placement is one critical step to ensure circuit performance including power consumption delay and chip area in physical design this paper presents a reinforcementlearningbased approach to optimize the half... | the reviewers are enthusiastic about the work and all recommended for the acceptance of the paper the reviewers think the work is solid and novel and potentially impactful for example reviewer mddg noted this paper transforms the geometric placement problem into multiple visual representations using three masks which o... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present minif2f a dataset of formalized mathematical problems drawn from diverse sources including imo aime amc undergraduate and high school problems the focus is on algebra inequalities and nu... | the paper presents minif2f a dataset of 488 highschool and college level math problems the problems are fully formalized and include proofs in the metamath lean and isabelle theorem provers as the reviewers pointed out the support for isabelle is limited and that should be made clearer in the abstract this multiplatfor... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel architecture of an implicit unsupervised learning architectures using a teacher student approach in particular the main advantage to me seems to be the modecollapse property a... | the paper proposes a learning by teaching lbt framework to train an implicit generative model via an explicit one it is shown experimentally that the framework can help to avoid mode collapse the reviewers commonly raised the question why this is the case which was answered in the rebuttal by pointing to the difference... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduced an energyguided stochastic differential equation based method for image2image translation task unlike previous methods the proposed one takes the source training data into account and d... | the paper proposes an unpaired imagetoimage translation method based on scorebased diffusion models compared to prior works 7 29 the paper adds two energy functions pretrained on both the source and target domains in an expertofproduct framework the paper has received positive reviews reviewers found the paper wellwrit... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper improves upon stackelberg deep deterministic policy gradients by proposing a set of strategies on how to deal with the hessian part of the gradient this should overcome the major limitations of t... | this paper aims to make stackelberg deep deterministic policy gradients practical and efficient the main contributions are an analysis which suggests terms involving the hessian can be dropped and a blockdiagonal approximation to an expensive matrix inversion several reviewers who voted for rejection expressed concern... | [
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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 and details a new research framework for reinforcement learning called dopamine the authors give a brief description of the framework built upon tensorflow and reproduce some recent re... | the paper presents dopamine an opensource implementation of plenty of drl methods it presents a case study of dqn and experiments on atari the paper is clear and easy to follow while i believe dopamine is a very welcomed contribution to the drl software landscape it seems there is not enough scientific content in this... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an interesting regularization method for encouraging function values to be discrete the main idea is very interesting with two correlated random vectors the function is encouraged to maxi... | the paper introduces a method to train neural networks based on socalled stability regularisation the method encourages the outputs of functions of gaussian random variables to be close to discrete and does not require temperature annealing like the gumbel softmax all reviewers agreed that the proposed method was novel... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview the paper addresses the problem of learning from human feedback it provides an analysis of reward learningwhere human feedback is used to extract a task description in the form of a rewardand ass... | this is a well written paper outlining a class of assistive algorithms being more or less a survey paper it could do a better job of discussing inverse reinforcement learning and collaborative inverse reinforcement learning it could also be slightly more general for example the human dewcision function need not be know... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims at advancing nighttime flare removal and proposes a new dataset called flare7k based on the proposed dataset extensive experiments are conducted which demonstrates that the proposed dataset c... | this paper propose a new nighttime flare hazard dataset the synthetic dataset enables to obtain ground truth which is otherwise very difficult in real scenes all reviewers are satisfied with the quality of the paper only one reviewer recommends marginal below acceptance and the concerns are minor the concerns has been ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to visualize training trajectories with the dimension reduction and visualization tool phate the authors try to reconstruct manifolds on which the training trajectories lie it argues t... | the reviewers and i agree that the paper is well motivated and that there are good comparisons to prior work however the scope of the paper is rather limited and there were some doubts about the overall conclusions and whether the current results fully support them as such i cannot recommend the paper for publication | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a selfsupervised video representation learning method videomae based on transformer design the idea of this approach is inspired by the imagemae 22 which is based on the masking and reco... | this paper studies application of masked autoencoders to video data it is a very empirical paper with lots of ablations and experiments all three reviewers lean toward the acceptance of the paper reviewer c915 has a slight concern regarding the novelty of the paper over concurrent works including 5053 the reviewers bel... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends the online metalearning oml model with the er during the metatraining also the paper proposes a replacement buffer policy for samples replacement from the reservoir instead of storing the ... | addressing the problem of catastrophic forgetting in continual learning this paper extends oml to use experience replay er during training instead of the original approach which uses er during test phase only the paper proposes a policy for samples replacement from the reservoir experiments show the superiority of the ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to study exploration at different levels of granularity current methods either explore at the level of individual steps eg epsilongreedy or at the level of experiments eg first a rewardf... | exploration can happen at various levels of granularity and at different times during an episode and this work performs a study of the problem of exploration when to explorewhen to switch between exploring and exploitation at what timescale to do so and what signals would be good triggers to switch the study is perfor... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper investigates intersection of federated learning and distant supervision of knowledge graphs from texts the main innovation is a simple yet empirically effective denoising rule that select... | the paper studies distantly supervised relation extractiondsre in distributed settings though dsre has been studied in centralized setting it has not been studied in distributed platform this paper leverages the federated learning setup for this problem and proposes to use lazy mil for this purpose the paper identif... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an autoregressive framework metaglar comprising of a global rnn model and a local linear model learned using a closed form solution for the task of metaforecasting of time series ts the ... | this paper proposes an autoregressive framework that combines rnn and local linear component for the problem of metaforecasting of time series the linear model can domainadapt to different time series while the rnn component is shared across series reviewers thought the problem was important the paper was generally cle... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
presents mathematical analysis and computer simulation of model that maximizes mutual information between photoreceptors and the rgc outputs of the retina shows that several different spatiotemporal filter... | this paper received 1 accept 2 strong accepts and 1 reject all reviewers agree that the proposed model is elegant and that the technical work is impressive even the negative reviewer the main criticism of the negative reviewer is that the main take away is not clear the authors submitted a revised version of the manus... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is generally easy to follow it addresses the problem of existing method in evaluation of generalization of neural networks it proposes an interesting method to evaluate fcnns which includes c... | the authors address a hot topic visualizing features and representation inside fcn to improve interpretability with an interesting methodology even though the paper had initially some limitations such as i the experimental scope is limited only one type of architecture tested ii some technical aspects need to be disc... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work revisits a famous counterexample on the convergence of adam originally presented in reddi 2018 the authors show that if the ema parameter beta2 in rmsprop and adam is chosen high enough then both ... | the paper shows convergence results for rmsprop in certain regimes the reviews are uniformly positive about this paper and i recommend acceptance | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper poses an approach to retrosynthesis that addresses the challenges of i availability of reactants and ii generalization to unseen templates to achieve this the authors reformulate retrosynthesis a... | while the authors appreciated the proposed contrastive training scheme and the strong related work summary all authors agreed that the approach was severeley limited by being a pure selectionbased method without the help of another model that proposes molecules the approach can only select reactants from an existing se... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to combine badgan framework and vat to accelerate learning in the semisupervised setting the paper shows that the vat approach is actively pushing the decision boundary away from the hig... | the paper combines the ideas of vat and bad gan replacing the fake samples in bad gan objective with vat generated samples the motivation behind using the k1 ssl framework with vat examples remains unclear particularly in the light of prop 2 which shows smoothness of classifier around the unlabeled examples is enough w... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper focused on the sample importance in the adversarial training the authors firstly revealed that overparameterized deep models on natural data may have insufficient model capacity for advers... | the paper proposes an insightful study on the robustness and accuracy of the model it was hard to simultaneously keep the robustness and accuracy a few works tried to improve accuracy while maintaining the robustness by investigating more data early stopping or dropout from a different perspective this paper aims to im... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
training deep neural networks in the presence of adversarial perturbations in the input data is a very active research topic there are lots of works defining notions of robustness proposing solution algorit... | verifying robustness of neural networks is an important application in machine learning the submission takes on this challenge via the interval bound propagation ibp framework and provides a theoretical analysis on the training procedure they establish in the large network with case that the certification via ibp refle... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit after reading the other reviews the authors responses and thinking more about the concerns raised i have increased my score however i still recommend rejection because of questions around the hyperpara... | this paper introduces an simple but potentially effective offpolicy td algorithm overall the reviewers felt the work was incomplete and not yet ready for publication the all recognized the authors made significant updates to the paper but serious issues remain with the empirical work studying the impact of the propos... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers a regularized irl setup where instead of the entropy regularization used in maximum entropy irl an arbitrary convex regularizer omega is used the work presents a number of theoretical re... | this paper studies inverse reinforcement learning through the prism of regularized markov decision processes by generalizing maxentirl from the negative entropy to any strongly convex regularizer as a side note strict convexity might be enough for many results the reviewers appreciated the clarity the mathematical rigo... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to quantify how dense representations we need for a specific task more specifically how many dimensions are needed from a given representation for a given task to achieve a percentage of t... | this paper addresses important general questions about how linear classifiers use features and about the transferability of those features across tasks the paper presents a specific new analysis method and demonstrates it on a family of nlp tasks all four reviewers counting the emergency fourth review found the gener... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study dro with data geometry considered in the uncertainty set making use of the socalled geometric wasserstein distance the authors derive an approximate algorithm for the propose... | the paper proposes a novel distributionally robust optimization formulation leveraging data geometry to construct the uncertainty set after a lengthy discussion and revision process the reviewers have reached a consensus acceptance recommendation which i support currently the reproducibility checklist part 3a states t... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces shoot tree search sts a planning algorithm that performs a multistep expansion in montecarlo tree search standard mcts algorithms expand the search tree by adding one node to t... | this paper proposes a modification to mcts in which a sequence of nodes obtained by following the policy prior are added to the search tree per simulation rather than just a single node this encourages deeper searches that what is typically attained by vanilla mcts sts results in slightly improved performance in sokoba... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors aim to reveal relevant dependencies between voice and image data under a crossmodal matching framework through common covariates gender id nationality each covariate is learned using a cnn from each... | all reviewers agree that the proposed method interesting and well presented the authors rebuttal addressed all outstanding raised issues two reviewers recommend clear accept and the third recommends borderline accept i agree with this recommendation and believe that the paper will be of interest to the audience attendi... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new spatiotemporal adapter stadapter for parameterefficient finetuning on video tasks with a much smaller trainable parameter stadapter can match or even outperform the strong full fin... | this paper proposes a new spatiotemporal adapter for parameterefficient finetuning per video task transferred from a pretrained image model after the discussion phase the requested comparisons on full finetuning finetuning only the temporal attention modules and more backbones are added and the reviewers are satisfied ... | [
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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to first predict a coarse 323 voxel grid by aggregating independent predictions from individual views then it translate it into a mesh and refine it using deepmvs predictions using each ... | this submission is an interesting case the method it presents appears to work quite well achieving stateoftheart quantitative reconstruction results though qualitatively the reconstructed surfaces are locally noisy the method is quite complex which different reviewers saw as either a strength or a weakness a mix of s... | [
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