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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to explain machine learning models the paper proposes learning counterfactual example rules regions rather than generating individual counterfactual examples this has benefits in stability and avoids the va... | this paper highlights a series of limitations of existing methods in the literature on algorithmic recourse eg recourses are not implemented exactly and are often noisy and posits new definitions for local and regional counterfactual rules and proposes a novel algorithmic framework to learn them all the reviewers opine... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the offline reinforcement learning in the framework of constrained markov decision processes the authors propose an offline primaldual algorithm prove nearoptimal sample complexity under d... | this paper considers offline reinforcement learning in the constrained mdp framework it proposes an algorithm that provably obtains a nearoptimal policy under a singlepolicy concentrability assumption and proves an upper bound and a corresponding lowerbound on the resulting sample complexity the reviewers found the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a text autoencoder with a bagofvectors embedding which is more capable of encoding longer text than a singlevector embedding to train such a model the authors first encode the input sequ... | the paper addresses unsupervised conditional text generation extending emb2emb mai et al 2020 with bagofvectors antoencoders reviewers shared several concerns about the clarity of this paper and empirical results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims at the task of bounding and approximating intersectional fairness with a main motivation of cases where multiple protected attributes exist and a finite training from which such approximation... | this paper focuses on intersectional fairness in supervised learning specifically on understanding the relationship between ensuring fairness on one particular sensitive attribute and on the intersection of those attributes a largely analytical paper bounds are given relating the latter to exact guarantees on the form... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles an interesting and important question which is how can we make the pruned network regular such that it can run quickly on gpu common hardwares the problem essentially originates from the... | summary the key idea behind this approach is a new technique to map irregular sparsity to a regular compressed pattern the results can in principle therefore overcome several standard limitations with irregular data storage formats the results improve over existing though related techniques discussion strenghts ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers learning a metamodel to predict the solution to the ot problem the idea is novel and the paper is wellwritten compared to other ot methods that run from scratch it can save the time of... | this paper proposes an amortized optimization approach for predicting optimal transport ot maps three reviewers found that the proposed method is interesting however some concerns raised by another reviewer on the improvement of the computational efficiency and the generality of the proposed method were raised 1 the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work focuses on improving continual learning framework by introducing neural importance determined by activation value in doing so the authors introduce neuron importance as weight factor in m... | although this paper proposes an intriguing method for using neuronimportancebased regularization to reduce catastrophic forgetting in continual learning the method is substantially based upon jung et al 2020 reducing its novelty additionally the experimental evaluation was unconvincing that the proposed method is an im... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to prevent collusive pricing by sellers through a learned framework that solves the twolevel stackelberg problem specifically the paper introduces the class of threshold policies that optimi... | this paper proposes an rl based method to prevent collusive pricing by sellers through a framework that solves the twolevel stackelberg problem the paper received a mixed evaluation from the reviewers ranging from accept 7 to weak reject 4 the strengths of the paper mentioned by the reviewers were the considered pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the focus of this paper is to develop a learning framework to discover spatiotemporal pdes from scarce and noisy data the authors suggest devise a deep convolutionalrecurrent network which encodes prior ph... | the paper introduces a pipeline to discover pdes from scarce and noisy data reviewers engaged in a very thoughtful discussion with the authors i read the extensive rebuttal and i believe the authors have addressed the major concerns claimed by the reviewers i ask the authors to make sure to include all the changes and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel clustering technique that combines the selforganising map som kohonen 1998 ideas with the differentiable quantized clustering ideas of vqvae van den oord et al 2017 the resulting... | this paper combines probabilistic models vaes and selforganizing maps to learn interpretable representations on time series the proposed contributions are a novel and interesting combination of existing ideas in particular the extension to timeseries data by modeling the cluster dynamics the empirical results show impr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers ell0 sparsity constrained minimization problem of a function fw it proposes accelerated projected gradient to solve such a problem the designed acceleration relies on a extrapolation ste... | the paper studies sparsityconstrained optimization problems in which the goal is to optimize a convex lipschitz function subject to and l0 constraint it studies two algorithms one based on extrapolation within the current support and another which applies a second order method within the current support the papers theo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose motion policy networks a learned policy trained on data from classical motion planning solutions the policy takes as input a configuration space state and a point cloud and outputs confi... | summary motion policy networks a learned policy trained on data from classical motion planning solutions are proposed by the authors the authors propose additional losses and collect motion planning data mpinets implements a policy to solve planning problems this method scales well with data and performs well when com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors theoretically analyzed the dual of minimum norm optimization of overparameterized deep neural networks specifically they focused on deep neural networks with linear and relu activation functions... | this is an interesting paper which further extends the duality theory of deep networks unfortunately reviewers had many concerns about presentation technical details and missing prior work i will add that a large volume of relevant implicit bias work eg in the setting of deep linear networks mirroring proposition 2 i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new task spoken conversational question answering which combines conversational question answering eg coqa with spoken question answering eg spokensquad the task is to answer a questio... | the authors propose a dataset and a method for the task of spokenqa the dataset is generated by using google tts to generate audio segments corresponding to the coqa dataset and then using an asr system to generate noisy transcripts of these speech segments the authors then propose a method which uses a combination of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper attempts to improve communication in multiagent systems by drawing from graph neural network techniquesthey consider agents as nodes in a graph that allows techniques such as node labeling to app... | reviewers found the papers connections between marl and gnns interesting and wellwritten and the experiments convincing given the unanimous support i recommend acceptance that said i encourage the authors to integrate reviewer feedback including trying to move some of the details and plots requested to the main text |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of rl with action delay or equivalently nonmarkov decision process compared to a naive strategy of state expansion which appends a history of actions to the observation the au... | the paper analyzes mdps with execution delays interesting theoretical results and experiments are provided which show the benefits of the proposed algorithms however some issues are highlighted in the reviews such as the lack of theoretical analysis of the proposed delayed qlearning method and the simplicity of the exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the vaeac model inspired by cvaes it allows conditioning on any subset of the latent features this provides a model able to achieve good results on image inpainting and feature imputat... | this paper proposes a vae model with arbitrary conditioning it is a novel idea and the model derivation and training approach are technically sound experiments are thoughtfully designed and include comparison with latest related works r1 and r3 suggested the original version of the paper was lack of comparison with re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose an unsupervised multiview object segmentation method leveraging on neural radiance field the key motivation is that a good segmentation should maximise the dissimilarity between content ... | reviewers are generally positive about the submission and all recommend acceptance post rebuttal they appreciate the new formulation and the strong results the ac agrees and recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
for reinforcement learning agents learned in an offline setting it is especially important to be able to quantify uncertainty as the agent may encounter outofdistribution experiences when deployed in the on... | unanimous accept from 3 reviewers im uncertain about accept given reviewers xjev and jba5 reviews are on the short and vague side reviewer vqqm never responded even though they would have been a great reviewer for this work reminded them once and they confirmed but forgot to follow up again reviewer tktas review was ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an outofdistribution appendix to the wellknown tvlcdip benchmark along with results obtained with a number of stateoftheart models the authors prepared a very useful addendum to the r... | this paper focus on evaluating dataset bias outofdistribution particularly on document image classier all reviewers find the evaluation technically sound thorough and insightful all of them recommend acceptances the authors have carefully addressed all reviewers concerns therefore this paper is suitable for accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 in practice this report reproduces almost all the results in the original paper however the author failed to clearly and concisely state the scope of reproducibility i did see such a scope statement in th... | reviewers praised that the authors reproduced many experiments from the original paper and even found several errors in the original implementation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel attack approach with a purpose of disrupting the automatic speech recognition system the proposed method called neural voice camouflage works in real time by forecasting attacks ... | this paper proposes a novel neural voice camouflage method that learns predictive attacks without any constraints about input and output it is general robust and realtime that could be used in a realworld scenario the experiments are solid the indepth analyses are convincing |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
svd of matrices in a language model is used to reduce model size instead of standard svd that minimizes the mse of reconstructing the matrix elements a modified version that weights elements is used specifi... | the paper studies the problem of taskspecific model compression obtained from finetuning large pretrained language models the work follows the line of research in which model size is reduced by decomposing the matrices in the model into smaller factors twostep approaches apply svd and then finetuned the model on task s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a training technique for information retrieval models in the context of open domain question answering assuming the existence of some reader model the idea is to use internal information... | the paper attempts to improve retrieval in open domain question answering systems which is a very important problem in this regards the authors propose to utilize crossattention scores from a seq2seq reader models as signal for training retrieval systems this approach overcomes typical low amount of labelled data avail... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors analyze the space of solutions for worst case fairness beyond demographics and propose blind pareto fairness bpf a method that leverages noregret dynamics ie multiplicative weight upd... | this paper studies the problem of pareto fairness without having predefined protected groups the reviewers agree that the problem studied here is interesting and relevant during the initial review period reviewers identified a major correctness issue the authors have then substantially changed the algorithm and experim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 in this paper the authors proposed a transferrable framework for multiagent rl which enables the learned policies easily generalize to more challenging scenarios this seems to be a good contribution to th... | reviewers all agree on acceptance for this paper the initial issues with clarity seem to have been addressed by the authors the paper introduces a new transformerbased architecture for marl that enables variable input and output sizes which is used to train the agent in a more general setting and on more diverse tasks... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies representation learning under covariate shift under the idg setting and the proposed assumptions the paper gives a socalled variational characterization of the optimal representation this ... | the paper aims at characterizing conditions for optimal representations required for the domain generalization problem under covariate shift under the idealized domain generalization idg the paper provides a variational characterization of the optimal representation and shows a number of intriguing results i optimal re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel model that reads in information decide whether this information is surprising and hence whether or not to keep it in memory and also utilizing information in the memory to quickly... | all reviewers recommend acceptance the problem is an interesting one the method is interesting authors were responsive in the reviewing process good work i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel approach for solving morl problems while considering uncertainty in the pareto frontier the contributions are interesting and novel but the paper has several flaws which make it n... | the paper studied multiobjective reinforcement learning morl and provided a bayesian optimization approach for challenging morl scenarios in several simulation environments the reviewers generally find it interesting to account for robustness in a morl setup and all appreciate the algorithmic contributions however ther... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a pretraining framework based on masked auto encoders for multispectral and multitemporal satellite images the architecture proposed is novel as it addresses the temporal irregularities i... | four experts in the field reviewed the paper and recommended accept borderline reject weak accept and weak accept according to the reviews using mae in satellite imagery is straightforward but the novelty lies in details such as using extra tokens to handle temporal consistency masking strategies etc another major ques... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new system for a new application packing animated elements within a given shape container the overall idea of the system is to model this as a physicsinspired system given shape element... | this paper presents a method for animating 2d shapes packed into a container space reviews were split with two of three recommending acceptance the majority view saw the work as solid and clearly explained reviewers raised concerns about animation quality and control and revisions could expand the discussion on these i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros overall this is a nice empirical paper with a reasonably extensive set of experiments it is interesting that among networks that train to 100 with layca the best generalizing ones tend to have balanced... | dear authors the reviewers all appreciated the question you are asking and the study of the impact of each layer is definitely an interesting one they were however uncertain about the actual metrics you used to emphasize your points further as you noted there were quite a few presentation issues that led to skepticis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors suggest using geometric margin and layerwise margin distribution in elsayed et al 2018 for predicting generalization gap pros a the author shows large experiments to support their argument con... | the paper suggests a new measurement of layerwise margin distributions for generalization ability extensive experiments are conducted though there lacks a solid theory to explain the phenomenon the majority of reviewers suggest acceptance 965 therefore it is proposed as probable accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes powerlaw dynamic of sgd which considers statedependent noise the powerlaw distributed derived from this dynamic explains the heavytailed distribution of parameters trained by sgd beside... | the average review rating is 55 which means its somewhat borderline one of the reviewers planned to increase the score but apparently didnt do so formally a subset of the main pros and cons the reviewers pointed out are pros some empirical support is provided for the theory it is particularly interesting that the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on visual synthesis especially for highresolution cases to model global dependencies between patches this work proposes a patchlevel renderandoptimize strategy ie once a patch is predict... | this paper proposes a patchlevel autoregressive model for infinite visual synthesis based on two extensions 1 transfer information across patches via context vectors and 2 timely optimization for each patch note that hierarchical autoregressive models have been explored in previous works such as vqvae2 httpsarxivorgpdf... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the manuscript identify robustness properties of the fdivergence optimization when noisy labels presents the fdivergence measure is defined between the joint distribution and the marginal distrib... | the paper tackles a very important problem the formulation of the paper is sound as under lightweight assumptions the supervised loss follows an fdivergence formulation see information divergence and risk for binary experiments by reid and williamson jmlr 2011 in particular section 47 it would make sense to dig in the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new graphbased twitter bot detection dataset the authors describe the dataset in detail together with the annotation method twibot22 is significantly larger than other similar datasets ... | in this work the utilize a graph based approach to create the largest twitter bot detection dataset with over 100k bot users identified the dataset is of great use for the social media mining community in many different aspects the work was greatly improved after a very interactive and fruitful discussion period making... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method based on randomized smoothing to achieve robustness for graph neural networks the task here is to certify the classification accuracy of gcn under any possible attacker wh... | the paper proposes a novel approach to certify the robustness of graph neural networks via randomized smoothing it does so by treating the networks as graybox models and leveraging message passing routines this yields an improved lower bound on probabilistic certification all reviewers recognized the technical quality... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a novel methodology of volume coding for encoding and decoding sentences the algorithm is based on arithmetic coding in general i believe this is a well written paper however i couldnt... | the authors propose to use volume coding to enable uniform sampling from an implicit latent space to be used together with a autoregressive language model all the reviewers find this approach interesting but all found that the submission would be much stronger with more thorough evaluation in particular i noticed that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i am posting here my review from before the revision of the paper by the authors all my concerns have been addressed in that revision this paper studies how interesting negative statements can be identif... | this paper explores a new direction in knowledge base construction how to identify interesting negative statements for kbs towards this general goal two approaches have been developed peerbased statistical inference and patternbased text extraction two datasets of negative knowledge bases are provided along with an ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new table pretraining approach different from previous masked language approaches for table pretraining the authors propose to pretrain or train bart on the synthetic sql corpus the in... | reviewers are positive overall the is a general consensus towards acceptance reviewers viewed the simplicity novelty and effectiveness of the propose pretraining approach as strengths further reviewers praised the draft as very clearly written and viewed experimental ablations as relatively indepth eg two reviewers f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes teaching to teach a drawback of existing curriculum learning approaches is that it requires a human to manually and heuristically define a curriculum teaching to teach avoids th... | this work proposes a teaching to teach t2t method to incorporate structured prior knowledge into the teaching model for machine learning tasks this is an interesting and timely topic unfortunately among many other issues this paper is fairly poorly writing and can benefit from a significant rewriting the authors did no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper developed a generative model to perform simultaneous embeddinggeneration of imagestexts with application to zeroshot learning the experiments are extensive the novelty of this work is lacking th... | the paper received borderline ratings due to concerns regarding novelty and experimental resultssettings eg zero shot learning on my side i believe that the proposed method would need more evaluations on other benchmarks eg sun awa1 and awa2 for both zsl and gzsl settings to make the results more convincing overall non... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
disclaimer the reviewer has expertise in causality but little to no familiarity with probabilistic circuits summary the paper investigates the computational tractability of backdoor bd and frontdoor fd adj... | this paper looks at causal operations and their interoperability with tractable models making it a good fit for the workshop they consider how the backdoor and front door adjustment can be phrased in tractable models and provide some proofs about when this is tractable all around the paper is very relevant and i reco... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a machine learning framework named markov neural operator mno to learn the markov operator of dissipative chaotic systems different from the conventional neural networks they use sobolev... | this paper proposes a neural networkbased approach to estimate the markov operator of dissipative chaotic systems it introduces a novel combination of sobolev and dissipativity losses while the reviewers had initial concerns about clarity assumption and application condition and the choice of learning markov operator v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the goal of this paper is to enhance modelfree deep reinforcement techniques with relational knowledge about the environment such that the agents can learn interpretable state representations which subseque... | the paper presents a family of models for relational reasoning over structured representations the experiments show good results in learning efficiency and generalization in boxworld grid world and starcraft 2 minigames trained through reinforcement impalaoffpolicy a2c the final version would benefit from more qualita... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for automatically generating accompaniments using melspectrograms as inputs to a cyclegan overall i think the paper requires significant revision and additional work before it c... | all reviewers point out that the paper although having some strong points does not meet the bar for a highlyselective machine learning conference like iclr hence my recommendation is to reject the paper as a brief summary i highlight below some pros and cons that arose during the review and metareview processes pros ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea of reducing the lp size to achieve the tradeoff between scalability and utility is interesting the analysis and the derivation of the paper are well illustrated the comparison of the existing work... | meta review this is a borderline paper on reducing the size of lp for solving the task of releasing elements of the metric space under metric differential privacy the reviewers felt that the authors have done enough to merit acceptance but had several concerns 1 paper is not readable and therefore the general uai audie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the label solicitation strategy in active learning in particular it focuses on the expected loss reduction elr strategy analyzes its problem and modifies the original elr method to make s... | the paper proposed weightedmocu a novel objectiveoriented data acquisition criterion for active learning the propositions are wellmotivated and all reviewers find the analysis of the drawbacks of several popular myopic strategies eg elr tends to stuck in local optima bald tends to be overly explorative interesting and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose using a multidecoder architecture to to control the style of output summarization in the designed model each decoder learns and generates stylisticalldistinct summaries the contribution o... | the paper is well motivated and tackles a hard and longstanding problem with seq2seq models diversity and controllability the authors propose simple architecture for controllable text summarization they use multiple decoders controlled by a gating mechanism which can be learnt or controlled manually they control mostly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents uvim a unified modeling approach for vision using learned guiding codes more specifically the main motivation of the paper is to unify the highly specialized and taskspecific architectur... | three reviewers provided positive reviews which were further strengthened post discussion they agreed that that the motivation was strong the model was novel and the paper was well written they appreciated the ablations provided by the authors and found the results compelling the main concern by the reviewers was a mis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to establish a theoretical basis for geometric properties of knowledge graph relations and embedded entities by comparing knowledge graph embeddings with word embeddings using the insight th... | this paper extends the recent theoretical understanding on geometric properties for word embeddings to relations and entities of knowledge graph it categorizes relations into different types and derive requirements for their representations empirically they experiment several graph embedding approaches and show that wh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a 4d encoderdecoder cnn with convolutional recurrent gate units to learn multiple sclerosis ms lesion activity maps using 3d volumes from 2 time points the proposed architecture connect... | the presented paper appears to be well written and presents interesting and promising results on an important problem there is still room for improvement in the validation and clarification of the methods |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a neural vocoder based on denoising diffusion probabilistic model it matches autoregressive neural vocoder in terms audio fidelity but only requires constant number of sequential steps at... | reviewers and myself agree that the contribution is clear significant and has enough originality hence my recommendation is to accept the paper as a brief summary i highlight below some pros and cons that arose during the review and metareview processes pros solid technical contribution specially the use of continuou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 summary this paper presents the imperceptible warping based backdoor attack technique with the poisoned image generated from the technique the network will be fooled 2 strong points the technique prod... | the paper presents a new method for generation of backdoor attacks against deep networks the new method uses global warping instead of noise patches which makes the attack much more stealthy than previous approaches the attack effectiveness is demonstrated on 3 benchmark datasets a small user study is carried out to de... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the challenge of learning in extremely noisy environments the fundamental idea is to combine deep reinforcement learning of individuals in which individuals can choose whether they shar... | the paper presents an extension of maddpg adding communication between agents the methods targets extremely noisy observations settings so that agents need to decide if they communicate their private observations or not there is no intrinsicexplicit reward to guide the learning of the communication only the extrinsicim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
it is an interesting idea to combine scattering transform and squeezeandexcitation networks the paper is clearly written and easy to follow it is good that the authors target problems where data driven a... | this paper proposes a new methodological development combination of scattering transform and squeezeandexcitation networks to target small datasets for image segmentation on the whole reviewers find the idea very interesting and the paper clearly written and easy to follow but wish there were more experiments to back ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the manuscript proposes a deep kernel processes model where gram matrices are transformed by nonlinear kernel functions and assumed to follow wishart distributions reasons for score i t... | the paper contributes to the literature of deep kernel learning by proposing a deep probabilistic model based on inverse wishart distributions this is an interesting addition to the literature and the authors have provided some experimental evidence of the superiority of their method compared to state of the art on dee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presented relates to the impact batchsize on the learning performances of common neural network architectures pro having comprehensive study of the limit of gradientbased methods is very useful in... | the paper presents an interesting empirical analysis showing that increasing the batch size beyond a certain point yields no decrease in time to convergence this is an interesting finding since it indicates that parallelisation approaches might have their limits on the other hand the study does not allow the practition... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper establishes the asymptotic convergence of on and off policy dpg in the multiagent setting under some assumptions overall the paper is well written and easy to follow given the practical usefulne... | the paper offers a direction for multagent rl that builds on results for actorcritic methods zhang icml 2018 extending that work to address deterministic policies the authors establish convergence under a number of assumptions both onpolicy setting and offpolicy settings are treated the reviewers point out several ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work provides an improved method for individual and average causal parameter estimation the main idea is to apply targeted learning to deep latent variable models the proposed approach is based on two ... | the paper introduces some good ideas but i dont think it is quite there in terms of a method to be recommended for publications i think it is mostly reasonably written i do not agree with the comment of a complete rewrite but there are indeed some passages for improvement for instance an equation as y 1q0t x ht x sec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents trmrl transformers for metareinforcement learning which leverages transformer to learn hidden distributions for metareinforcement learning specifically the authors claim that the model a... | at a high level the novelty of this paper is limited rl2 with transformers instead of rnns the emphasis is then placed on the experimental evaluation unfortunately the reviewers felt that the experimental methodology and results were not strong enough at this stage to warrant publication during the rebuttal the reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors attempted to develop a semisupervised learning framework to reduce the label reliance for multiorgan segmentation deficiencies 1 the key methods should be described more clearly ... | figure 1 suspected plagiarism please redraw it reviewers raise many concerns and suggestions please address all comments in the revised manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new embedding method for knowledge reasoning on knowledge graphs in the introduction the description of the figure 1 could be improved the understanding of what is depicted in the figu... | this paper focuses on answering complex logical queries over an incomplete kg and use neural networks to do so flexibly handling multiple operations from fol overall reviews agree that empirical performance is impressive one reviewer gave a strong accept one leaning to accept and two leaning to reject overall the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents variants of the decision transformer that can condition on desired state or feature distributions instead of scalars along the way the authors also describe an organization of hindsight ... | the paper describes a framework that unifies several previous lines under hindsight information matching within that framework the paper also describes variants of the decision transformer dt called categorical dt and unsupervised dt the rebuttal was quite effective and the reviewers confirmed that their concerns are... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the calibration of both twostage and onestage object detectors moreover the author conducts studies on inoutdomain distribution specifically an auxiliary loss function tcd which is base... | this paper proposes a calibration loss function and uncertainty quantification mechanism to improve object detection calibration for both indomain and outofdomain detections the reviewers have found this paper novel and clearly written with strong empirical results given this i am happy to recommend this paper for acce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a singlepass uncertainty estimation method for neural networks by predicting the update to the natural parameters of the conjugate prior to the likelihood of the data distribution and op... | this paper presents a method for producing higher quality uncertainty estimates by mapping the predictions from an arbitrary eg deep learning model to an exponential family distribution this is achieved by using the model to map from the inputs to a lowdimensional latent space and then using a normalizing flow to map ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper asks the question what makes a feature representation good for a target task in order to tackle this question it introduces the concepts of local alignment examples similar in feature space same ... | in this paper authors introduce two properties of feature representations namely local alignment and local congregation and show how these properties can be predictive of downstream performance the paper has a heavier focus on providing theoretical statements using these properties but authors also empirically evaluate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a framework for nonlinear ica with that restriction that the mixing function is a volume preserving transformation the authors prove that given this restriction as well as a few other con... | this paper proposes an identifiable nonlinear ica model based on volumepreserving transformations the overall approach is very similar to the gin method published iclr 2020 there is a weak consensus among the reviewers that this paper has some merit although none pushed for acceptance after reviewing the paper myself ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors theoretically prove that the recent outcomeconditioned imitation learning methods do not always improve the policy they analyze the ocbc methods from the reward maximizing view which is the fund... | paper shows that outcomeconditioned behavior cloning ocbc is not guaranteed to maximize longterm reward in multitask rl a simple but effective variation of ocbc is proposed that does guarantee policy improvement while the scope of the paper is rather specific a certain form of behavior cloning in multitask rl this fa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors mainly combine the gnn and transformer to learn both local and global information in largescale graph strengths 1 the paper is easy to follow the ideas combine the gnns and transfo... | the paper aims to scale transformers to large graphs in this regard authors propose to first obtain a coarse version of the large graph using existing algorithms with reduced number of nodes in the coarse graph we can employ the transformer efficiently to capture the global information to capture the local information ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors correctly assert that accurate brain age prediction is confounded by natural heterogeneity of brain shape and other factors and propose a sound approach to disentangling the latent space of a de... | while reviewers pointed out a desire for quantitative comparison to additional other work some comparison already does exist in the paper this paper proposes a new approach that allows for brain age prediction ageconditioned template generation and subjectspecific aging simulation and demonstrates results on a robustly... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method that under certain assumptions with respect to the graph structure and an assumption of linear relationships between variables guarantees identifiability of the markov equivalen... | all reviewers and ac agree that this work is clearly of interest to neurips two out of three reviewers increased their score after their concrnes were successfully addressed during the rebuttal reviewers eq5g main concern was the weakness of the experimental results after reading the authors response the ac believes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors develop a transformer model for languageagnostic code summarization the transformer is provided both sequential tokenized code and a parsed ast as inputs and tasked with generating the ... | the paper gives an extension of the transformer model that is suited to computing representations of source code the main difference from transformers is that the model takes in a programs abstract syntax tree ast in addition to its sequence representation and utilizes several pairwise distance measures between ast nod... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper claims that a combination of policy gradients calculate by different rl algorithms would provide better objective values main focus of the work is to devise and adaptive combination scheme for pol... | the paper introduces the use of js shrinkage estimator in policy optimization which is new and promising the results also show the potential that said reviewers are not fully convinced that in its current stage the paper is ready for publication the approach taken here is essentially a combination existing technique... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on perceptual organizatio where the goal is to perceive and group the individual visual element to address the visual ambiguity in the discrimination process authors propose to use e figu... | overall the reviewers commend the motivation of the approach the core ideas presented in the paper and the extensive experiments conducted for four different applications including camouflaged and salient object detection infection and polyp segmentation in response to reviewer fhq8 the authors have mentioned updated... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose to metalearn adapters as a way to efficiently finetuneadapt large pretrained language models to tasks at hand in particular the authors follow the standard adapter settings as proposed in... | i would like to thank the reviewers for constructively engaging with the submission all reviewers agree that there is value in approaches which efficiently repurpose pretrained models to serve ever wider distributions of tasks even when the basic principles underlying the approach are well known while model adapters h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a simple linear programming model for learning logical rules for kg completion the model selects candidate rules from kg with explicit constraints and then solves a linear programming pr... | the paper shows how to make use of a linear program for extracting logical rules for knowledge graph completion overall the reviewers and i agree that this is an interesting and important direction for research moreover the presented approach shows good performance with rather small sets of rules extracted however all ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new technique for detecting adversarial examples by introducing fingerprints into the landscape while training and exploiting the fingerprints at test time to detect adversarial exampl... | strengths the paper proposes a novel and interesting method for detecting adversarial examples which has the advantage of being based on general fingerprint statistics of a model and is not restricted to any specific threat model in contrast to much of the work in the area which is restricted to adversarial examples ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the problem of parameterefficient transfer learning in the paradigm of pretrainingfinetuning the proposed method diff pruning can match the performance of fully finetuned baselines on the ... | this paper studies a problem setup of parameterefficient transfer learning for largescale deep models the approach consists of learning a diff vector with a sparsity constraint and then pruning the vector using magnitude pruning a group penalty is also introduced to enhance structured sparsity the main motivation is th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this paper proposes a datadriven method for timeoptimal trajectory generation for quadrotors 2 supervised pretraining and bayesian optizatimization reinforcement learning are combined which is interestin... | the paper presents a datadriven method for solving the planningcontrol problem of quadrotors with multiple waypoints strengths modeling mintime trajectory generation problem as a seq2seq learning problem should be a good contribution to the community shlp evaluation on real system a94g weaknesses insufficient lite... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of finding appropriate aggregation functions that can be used for instance in deep neural network architectures one such function maps a variable length list of reals to a s... | the authors propose a novel and elegant way for learning parameterized aggregation functions and show that their approach can achieve good performance on several datasets in many cases outperforming other stateoftheart methods this is also appreciated by most of the reviewers however there have been several issues rega... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new interpretation of the batch normalization step inside a neural network the main result shows that the backpropagation of the gradient of some loss function through a batch normaliz... | this paper interprets batch norm in terms of normalizing the backpropagated gradients all of the reviewers believe this interpretation is novel and potentially interesting but that the paper doesnt make the case that this helps explain batch norm or provide useful insights into how to improve it the authors have respon... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an offline rl method applied to an endtoend taskoriented dialogue model where the proposed gptcritic is built on gpt2 and finetuned on the selfgenerated sentences for policy updating th... | the reviewers are all weakly positive the author response clarified important aspects of the paper the new human evaluation was critical however the human evaluation result presentation is flawed presenting likert scores as means does not reflect them well the authors should use something similar to a gantt chart to fu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an endtoend model denoted as ms2 transformer using msms spectrum data to specify molecule identity the application is very important to biochemical studies this model consists of three... | finally all reviewers leaned towards rejection the main concerns were missing methodological depth and questions regarding the experimental evaluation unclear link between experimental outcomes and methodological details the rebuttal was not perceived as being fully convincing and finally nobody wanted to champion this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method of learning dags using discrete backpropogation is novel and innovative this paper is wellthoughtout in terms of both conceptual and implementation the discussed experiments appear to be... | this paper presents a backpropagationbased approach for learning dags and follow up with some comprehensive results im not an expert in the area but r2 seems to suggest that the contribution is marginal and there is insufficient explanation for when other methods perform poorly id recommend getting another review if po... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work critically reanalyzes previously published deep neural network models of grid cell emergence it shows that gridcelllike representations arise only given overly specific implementations of the path... | this paper examines previous deep learning models of the entorhinalhippocampal formation that have been reported to exhibit the emergence of grid cells the authors show that this phenomenon only occurs under very specific hyperparameter settings and with a variety of posthoc modelling decisions suggesting that it is no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces byolexplore a novel exploration method for rl the idea of byolexplore is to train an encoder of observations based on byol and further utilize training loss as the intrinsic reward for... | the reviewers agreed overall that this work is a solid contribution combining multiple earlier methodsideas the experimental validation is good together these merit acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to linearize gru and lstm cells as error terms should be negligible when inputs are small in magnitude putting these linearized or really affine rnn cells together into a singlelayer seq... | the authors demonstrated that vanilla rnn gru and lstm compute at each timestep a hidden state which is the sum of the current input and the weighted sum of the previous hidden states weights can be either unit or complicated functions when sigmoid and tanh functions are replaced by their secondorder taylor series each... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a twostage human motion forecasting framework that explicitly models humanscene contact it proposes to decouple the problem into two stages past pose conditioned contact forecasting and c... | three expert reviewers have recommended accepting the paper after the discussion period reviewers like the overall idea and framework the ac agrees and recommends acceptance please carefully revise the paper based on the reviews |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on byzantine defense through malicious node detection in a federated learning setting namely by ranking the gradients and then computing the meansd the paper shows that the malicious and b... | this manuscript proposes a ranking approach to identify byzantine agents in federated learning distinct from existing methods the mitigation is implemented by computing ranks for each gradient then computing rank statistics across agents the primary intuition is that adversarial agents can be identified by examining th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the bestofbothworlds guarantees for model selection in linear bandits the paper proposes a novel algorithm called arbe which achieves the first high probability regret bound for adversaria... | this work advances the direction on model selection for bandit problems with nested model classes reviewers all agree that the results are significant the contribution is solid and the paper is well written clear accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes recursive reasoning to model the opponents in a multiagent environment especially when the opponents are capable to learn and reason the proposed method mbom models the environment and t... | this paper tackles the problem of modeling agents that are simultaneously learning or are able to reason during interaction the proposed approach employs an environment model to simulate the opponents reasoning process the initial reviews are split and main concern is that the results do not adequately demonstrate that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that an auxiliary selfsupervised task that enforces temporal consistency of latents improves sample efficiency in continuous control environemnts and identifies important implementation det... | this paper presents a reinforcement learning architecture that uses an auxiliary kstep step loss in the context of continuous control from imagebased states while the topic is relevant and potentially impactful several reviewers have major concerns about the manuscript among these i highlight reviewers j6yx 38it and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
fdivergences can be written as variational objectives typically parameterised in terms of a densityratio estimator between positive and negative distributions this paper identifies a new equivalence between... | the paper shows that the arc length of the optimal roc curve is an fdivergence propose san estimator for it and builds on the insights obtained to design a new algorithm for approximately maximizing the area under the roc curve the reviewers generally appreciate the theoretical results insights the only concern seems... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel vio method which estimates 5 dof poes with the elevation fixed from monocular camera and imu in particular the proposed method adopt unscented kalman filter ukf which is natually... | the paper proposes a differentiable approach for monocular vio estimation based on bev without relying on deep neural networks the reviewers find the paper well written and the idea of using bev to be interesting this paper received highly mixed reviews the major concerns raised by the reviewers include empirical evalu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of heterogeneous transfer learning for cate estimation by using representation learning and a multitask architecture to transfer information between potential outcome functi... | the paper studies methods for estimating conditional average treatment effects cate under a shift in domain where source and target feature spaces are heterogenous it is assumed that the respective cates in both source and target domains are identifiable through ignorability and overlap no formal assumptions are made r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes cold brew a new method for learning cold start node embeddings in graphs cold brew leverages teacherstudent framework knowledge distillation to handle nodes without neighbors by transfer... | the reviewers agree that the paper studies an important and interesting problem and presents a good solution which is theoretically sound the paper can be further improved by looking into more applications such as coldstart recommendations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies multilingual asr with a focus on the long tail problem a new method using dual adapters is proposed although there are several ingredients of the method their effectiveness are all verifi... | as one of the reviewers comment the paper presents a mixed of tricks for the multilingual speech recognition which includes 1 the use of a pretrained mbert 2 dualadapter and 3 prior adjusting first the relative gains of the pretrained mbert is marginal section 331 secondly using 1 on top of 2 is unnecessary these con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
edit following response i have updated my score from 6 to 7 i completed this review as an emergency reviewer meaning that i had little time to complete the review i did not have time to cover all of the m... | this paper presents quasihyperbolic momentum a generalization of nesterov accelerated gradient the method can be seen as adding an additional hyperparameter to nag corresponding to the weighting of the direct gradient term in the update the contribution is pretty simple but the paper has good discussion of the relation... |
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