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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper asks the interesting question of whether you need individual neuron or even population level class selectivity at intermediate stages in order to have good classification performance the authors ... | this paper has received three positive reviews in general the reviewers have commented on the importance of the question related to how much selectivity is needed from units of a neural network for good classification from both the neuroscience and ml perspectives the reviewers also commented on the thoroughness of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
it proposes an approximated solution to a useful and challenging problem extensive discussions on related work good for readers new to the area it is a comprehensive paper in the sense that it propos... | meta review the paper proposes a new method to explore the pareto and finding appropriate new points over this front from the reviews the procedure appears novel to the extent reviewers can judge and technically solid the main critic done to the paper that also transpire in the reviewer comments is that this paper is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper tackles the problem of building hierarchical adversarially robust har modelsie models that are less prone to coarsegrained misclassifications in the face of adversarial manipulation speci... | this work targets an important problem susceptibility of ml models to adversarial perturbations that make them completely misclassify an input as opposed to just fail to get the right finegrained class while getting the correct coarsegrained one this natural question did not receive enough attention so far so having th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a causal model drugrec for drug recommendation the model utilizes different historic and clinical information to target three specific problems 1 elimination of drug recom... | this paper proposes a drug recommendation model called drugrec based on causal inference the two proposed modeling schemes are capable of handling multiple patient visits to better model the patients past health status the authors performed largescale experiments and showed the effectiveness of the proposed model the m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles one important issue in videolanguage modeling that is previous works made assumptions that video frames and the text descriptions for the video are semantically correlated however this a... | this paper proposes languageguided denoising network lgdn with the goal of addressing the redundancy and noisy alignment issues in videolanguage modeling by dynamically filtering out misaligned or redundant frames under the language supervision and obtains only 24 salient frames per video for crossmodal tokenlevel alig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes dreamerpro a clustering based ie prototypebased version of dreamer which learns the latent representations by prototypical representation learning instead of image reconstruction in other... | the authors propose an alteration to dreamer that incorporates a swavlike objective the reviewers raised a number of issues with the paper overall arguing for rejection in particular the reviewers felt that the work was not well motivated weak performance that a number of baselines were missing and a lack of analysis o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a simple linear adapter for parameterefficient finetuning unlike previous methods that involve complex nonlinear operations or prompting they explore linear feature scalability of vision... | this paper provides a simple method to avoid full finetuning of vision transformers namely very simple linear adapters that can be trained and then subsumed into the existing linear layers during inference which is an interesting characteristic as it prevents added computation during inference unlike the use of regu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the author combines channel projection spatial projection and the shortcut into a new architecture the proposed is only validated on one dataset overall the novelty of the proposed method is ... | four reviewers provided feedback on this paper the authors provided a response to the reviews and i appreciate the authors detailed comments and clarifications specifically addressing each reviewers commentsquestions the authors did not upload a revised version of the paper after the two discussion periods three of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a dropout based method towards communication efficient federated learning where each client will compute the dropout probability based on the update similarity between local models the e... | the paper introduces dropout probabilities which are adaptive to the similarity of model parameters between clients the reviewers liked the idea however missed several aspects such as a convergence analysis or at least discussion as well as an analysis of additional cost of the adaptive step and finally several concern... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to cluster a dataset into k groups using kvae the model is at the intersection of kdae opochinsky et al 2020 and vade jiang et al 2016 the paper is straightforward and goes directly to ... | the submitted paper proposes a novel modelapproach for deep clustering which shows good empirical performance on a set of standard benchmark datasets as compared to state of the art baseline algorithms while i believe that this paper can be turned into a good iclr paper it doesnt meet the standard of iclr in its curren... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a revised version of scorebased models for representation learning specifically they add an additional input to the score network which is a latent code encoded from the clean sample by ... | the paper proposes extracting multiplescale features using denoising score matching reviewers pointed out the limited novelty in the work and that it does not cite various previous work and how it connects to them the paper needs some further polishing on the writing and in making the use of lambda divergences more r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach to crosssentence relation extraction that combines lstms and convolutional neural network layers with word and position features overall the choices made seem reasonable and ... | the presented cross sentence relation extraction method is simple but well motivated the experiments show that it works well setting a new sota on the two relevant benchmarks the ablations and extended analyses are also well done and extensive overall this is a clear paper with a solid contribution that we would all l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a transformer based algorithm for predicting the outcome of a match or a game the main novelty of this work is the representation of each player with an embedding vector that is learne... | this paper presents a new method that uses transformers to predict the result of pairwise competitions given each players history of past game plays the reviewers thought this had notable potential benefits for practice however the reviewers also had some significant concerns with the current work in terms of the evalu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach to ensure a model trained on a set of source domains generalizes well to an unseen target domain based on a single unlabeled target sample unlike the standard domain generaliz... | this paper proposes a new method for domain generalization by adopting a single test example authors formulate the problem using a variational bayesian framework which ends up in an adaptation technique requiring a single feedforward computation the provided empirical results indicate that the proposed method has compa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider a meanestimation problem for a sample with adversarially corrupted entries assuming that the true mean is sparse they provide an approximate algorithm polylogarithmic in dimension the ... | this paper studies the problem of listdecodable mean estimation under the assumption that the true mean is sparse and the clean distribution is gaussian with identity covariance in this setting we are given n data points and a parameter 0alpha leq 12 such that 1 an unknown alphafraction of the dataset consists of iid s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an efficient optimization method for estimating the full noise covariance in a hierarchical bayesian framework its shown in the experiment that the optimization method could recover the t... | the paper presents hierarchical bayesian methods for modelling the full covariance structure in cases where noise dimensions cannot be assumed independent this is an important problem with potential practical importance the work is solid conceptual novelty in the work is somewhat limited the method is applied in the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the minimum number of bits that need to be communicated between n machines that jointly seek to minimize sumi1n fix where each function fi is held by one of the machines and the domain d ... | this work presents an improved lower bound on the communciation complexity of distributed optimization in some settings while reviewers agree that the paper is addressing a challenging and important question all reviewers questioned the significance of the contributions of this work in particular two reviewers felt tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper works on marginalized importance sampling mis by extending several previous work and achieves great progress the proof is technically sound as i checked as shown in an recent experimental submi... | meta review this paper receives positive reviews from the reviewers the major merit the novelty of the proposed method and the soundness of the proof are in particular appreciated by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an attention mechanism that also serves as intrinsic regularisation for a twoagent reinforcement learning framework of collaborative tasks the method is evaluated in simulation using two ... | the paper presents a method for collaborative task solving via an attention mechanism the method is evaluated on manipulation task in simulation the reviewers agree that the paper is well written and the idea is novel and intuitive they also share concerns about the limited applicability too many assumptions and only... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a set of benchmarks consisting of datasets and metrics for physicsinformed graph neural networks gnns for dynamical systems in particular they examine and compare the efficacy of hamilto... | this paper evaluates the use of physicsinformed gnns for modeling dynamical systems by simulating them and explores the properties that are beneficial for achieving enhanced performances with them the main concerns of the reviewers from the initial version have been addressed during the rebuttal and discussion periods ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to address the local scalability problem in decentralized sgd the authors study existing data parallel approaches and building upon the limitations they propose two approaches a... | i think this paper has more positives than the reviews might indicate and i do not share all the reviewers concerns about the content of the paper i think that there are a few concerns though that still suggest this paper should not be accepted as it is when taken in conjunction with the concerns brought up by the revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of estimating bounds on the mutual information it begins by showing that popular recent estimators eg mine are flawed since they rely on the donskervaradhan bound that canno... | the paper proves that the donskervaradhan lower bound on kl divergence cannot be used to estimate kl divergences of more than tens of bits and that more generally any distributionfree highconfidence lower bound on mutual information cannot be larger than oln n where n is the size of the data sample as an alternative fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of predicting the test performance of neural networks given only the training set and model hyperparameters while there have been many methods proposed for this the paper con... | the paper demonstrates that test error of image classification models can be accurately estimated using samples generated by a gan surprisingly this relatively simple proposed method outperforms existing approaches including ones from recent competitions all reviewers agree this is a very interesting finding even thoug... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
humans can rapidly learn from current experience as well as utilize information accumulated over longer periods this paper tried to suggest 2 benchmarks describing each case and analyze the tradeoff between... | the two presented benchmarks for humanlike realtime and lifelong learning by incorporating perspectives from shortterm and longterm knowledge acquisition and retention are highly interesting and useful for further research in the area of unsupervised humanlike learning the work is very well written and presented |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the complexity of the firstorder algorithms with being able to find the global optimal solution of nonconvex objective functions which satisfy the kl condition this work uses a dynamic sy... | this paper offers an analysis for sgd and then a variance reduced method pager under the general kl assumption this is a very large family of functions that includes many interesting nonconvex objectives and thus is interesting for the community and quoting one of the reviewers the rates provided by the paper in corr 1... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
proposes an approach to using a single bidirectional transformer to accomplish many different reinforcement learning tasks including behavior cloning subgoal conditioning and conditioning on properties more... | this paper extends masked language modeling to other sequential decision making problems the idea is simple which is a plus the experiments are thorough and the results are convincing all reviewers agreed this is a good paper 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 method called nfgnn which utilizes generalized translation operator to learn local patterns contributing to homophilyheterophily strengths 1 a new gnn method with ability to capture th... | the paper has mixed reviews while some reviewers feel that the paper is novel and interesting other reviewers think that additional experiments are needed to justify the proposed method and that the proposed methods are somewhat incremental the paper will benefit from another revision that will address the raised conce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a science question answering sqa dataset which contains evidence and explanations in multimodalities and covers a diverse category of questions authors evaluate standard baselines as ... | the paper introduces a large new multimodal dataset for science question answering and thoroughly evaluates a range of models including a version of chainofthought reviewers agree that the paper is generally solid and well written and the dataset is potentially useful the major concerns around the technical novelty of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides an algorithm for online data deletion they consider unlearning with convex strongly convex loss functions with additional assumptions standard in the literature the key improvement in th... | most of the reviewers agree that this paper is well written and provides a notable improvement over prior works on algorithms for data deletion some initial concerns regarding the proper motivation for the problem setting have been largely addressed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes the so called dual lottery ticket hypothesis which claims that every ticket in the ticket pool ie every random sparse subnetwork in a randomly initialized dense neural network can be tran... | i recommend this paper for acceptance but i do so with significant reservations since this metareview will be public for all time i direct this metareview to future readers of this paper so that they can weigh its merits and drawbacks in a clearminded way this paper proposes a dual lottery ticket hypothesis for those ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
review this paper proposes a general modelfree rl method for noregret learning based on a repeated reconsideration of past behavior the armac algorithm using the offpolicy policy evaluation algorithm treeb... | this paper introduces a new algorithm to solve game more or less similar in the general idea yet differences are interesting than cfr the concept is to sample from past policies to generate trajectories and update sequentially via regret matching the three reviewers gave rather lukewarm reviews with possible suggestio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
one of the challenges with scaling data parallel training of neural networks is that the natural dependencies between the forward propagation backward propagation and gradient updates limits the benefits of... | this paper proposes a new algorithm to speed up dataparallel distributed training focused on mitigating stalenessinduced issues that arise when limiting communication between nodes all reviewers and myself agree this is a worthwhile contribution which is backed by both convincing empirical and theoretical results i co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes deeptlf a new framework for prediction tasks using tabular data deeptlf first trains gradient boosted decision trees gbdt using the entire tabular training samples then it uses node valu... | the paper introduces a method called deeptlf that handles heterogeneous tabular data by using gbdt as an encoder for a dnn the paper is clearly written and the method works as intended there is however the issue of novelty raised by q6we the method indeed relies of the capacity of gbdt to represent the data the inter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes and formalizes a novel framing to understand a decision makers ability to affect the behavior of the population it is making decisions on the paper relates this notion of performative pow... | the paper proposes the notion of performative power to measure a firms ability to affect its users this notion is insightful in performative prediction and the authors have demonstrated it in multiple concrete settings overall all reviewers are very positive about the paper we recommend including the paper in the progr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a data set of srh images from a number of types of brain tumors as well as control tissue it also provides several benchmarks for accuracy of classification of these images at the indivi... | there are contrasting review rating ranging from 9 to 3 the reasonable concerns about this paper not been well validated for ml community the proposed datasets has been benchmarked with some classical and some relevant dl methods i have taken into account the expertise of reviewers and their concerns carefully i do agr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an online learning algorithm ottt thats applicable to spiking neural networks snns ottt uses a combination of eligibility traces trace of past activity of the neuron and us... | the authors propose an online training algorithm ottt for spiking neural networks snns using eligibility traces and instantaneous loss values they show empirically that this method performs better than previous ones in feedforward spiking neural networks all reviewers agree that the empirical results are impressive an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 very interesting problem setting 2 nice theoretical characterization 3 well written and organized 1 residual bootstrap may be computationally demanding in practice i enjoyed this paper well motivated well... | meta review this paper studies residual bootstrap exploration in a stochastic linear bandit the promise of the approach is that it is more general than the traditional approaches to exploration although i would not expect a regret analysis beyond linear glm bandits the authors could experiment with nonlinear problems ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper reveals that the noise added to the pate voting mechanism to attain a differential privacy guarantee enables new forms of leakage of sensitive information a simple adversary is enough to exploit ... | although the fact that dp does not protect against population statistics is a widely known fact the paper weaves this together with pate which relies on dp statistics to demonstrate the danger of mis interpreting the protection guarantees provided by dp this is a point worth discussing among the privacy and security co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to achieve a better understanding of gan finetuning a synthetic experiment demonstrates that pretrained discriminators improve the quality of the initial gradients and pretrained generators ... | this paper empirically studies when why and which pretrained gans are useful all the reviewers are positive about this work that they all consider very valuable for practitioners and the community first building intuition through toy examples authors conduct a largescale study of transfer learning in gans with the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a knowledge graph kg about drugs how they can treat symptoms how they interact with each other and where they are available for purchase at what price i have a general remark regardin... | the three reviewers agreed on the relevance of the paper for its presentation in the workshop but please take into consideration the comments theyve provided mostly focused on the improvements about the presentation of the ideas and integration of the paper in a unique story for the cameraready version it would be also... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider metalearning to learn a prior over neural network weights this is done via amortized variational inference this means that a good initialisation of the variational parameters are learne... | this paper combines two ideas maml and the hierarchical bayesian inference approach of amit and meir 2018 the idea is fairly straightforward but wellmotivated and it seems to work well in practice the paper is wellwritten and includes good discussion of the relevant literature the experiments show improvements on vari... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new reward pseudometric called dynamics aware reward distance dard which uses approximate transition model of the environment to compare reward functions while being indifferent to rewa... | the paper proposes a new pseudometric dard for comparing reward functions that avoid policy optimization dard builds on a recent work by gleave et al 2020 where the pseudometric epic was proposed in contrast to epic dard operates on an approximate transition model and evaluates reward functions only on transitions clos... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper focuses on conditional image generation with continuous label current methods utilize categorical conditions which easily suffers form two problems 1 the inferior performance when given... | the submission proposes a novel conditional gan formulation where continuous scalars named regression labels are fed into the gan as a conditioning variable since cgans with discrete labels are trained to minimize the empirical loss they fail for continuous conditions because there might be few or even zero samples for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method tackles classincremental continual learning where new categories are incrementally exposed to the network but a classifier across all categories must be learned the proposed method seem... | the authors propose to tackle the problem of catastrophic forgetting in continual learning by adopting the generative replay strategy with the generator network as an extendable memory module while acknowledging that the proposed model is potentially useful the reviewers raised several important concerns that were vi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores how to leverage retrieved context for language modeling by decoupled encoderdecoder models like retro retrievalenhanced transformer the model mainly includes two components 1 a retrieval... | the paper contributes a retrievalaugmented lm that offers some nice features compared to earlier work first it is based on a seq2seq architecture instead of a custom one eg retro which is a plus as it is simple well studied and the overall approach is quite elegant second the model of the paper also offers cheaper infe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to improve the precision of existing weak supervision approaches by selecting a subset of the weaklylabeled data for training the end model specifically the paper proposes to us... | this paper examines the question of whether it is best to use all the available weakly labeled data to train a model contrary to usual practice it finds that it is often best to filter that data the creativity of the paper is using a statistic called the cut statistic to select high quality subset of the data it uses a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors identify a relatively novel problem to solve with deep reinforcement learning automatically grading programs which require dynamic input from the user to judge for implementation correctness in... | the paper studies a novel problem setting of automatically grading interactive programming exercises grading such interactive programs is challenging because they require dynamic user inputs the papers main strengths lie in formally introducing this problem proposing an initial solution using reinforcement learning and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to understand and establish based on empirical evidence if and why treebased models tend to perform better than neural networks on tabular data existing work has indicated that this is the c... | the paper proposes a benchmark comparing modern neural network architectures with gradient boosting overall the paper was reviewed quite positively with an average score of 633 most criticism by the reviewers was addressed by the authors major remaining issues are 1 while the results of bo vs random search indicate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new federated learning framework called heterofl which supports the training of different sizes of local models in heterogeneous clients clients with higher computation capability can ... | the reviewers had a number of concerns which seem to have been addressed by the authors in the discussion phase all the reviewers are in favor of accepting the paper the paper provides an interestingnovel idea for federated learning with heterogenous clientsdevices |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focused on developing a new regularization technique for autoencoders which shapes the latent representation to follow a manifold that is consistent with the training images and that drives the m... | the authors propose a technique called autoencoder adversarial interpolation aeai the key idea is to train autoencoder architectures that explicitly shapes trajectories in the encoder latent space to correspond to smooth geodesics between data points this is achieved by a combination of several loss terms that are fair... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes dicttts that can infer the corresponding pronunciations for the given input text sequence by incorporating the prior information from the online website dictionary for deriving the pronu... | the reviewers generally liked the proposed approach in this paper agreed that it is novel and that the experiments showed good improvements over reasonable baselines there was broad concern about the ablation study in the original paper one shared by the ac but the authors revised that section during the discussion per... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new hierarchical transformer architecture with constant connection path length and linear time and space complexity for longrange time series modeling the module at core is a pyramidal... | the authors propose a multiresolution pyramidal attention mechanism to capture longrange dependencies in time series forecasting achieving linear time and space complexity the authors conduced an extensive set of experiments and ablation studies demonstrating that the proposed method consistently outperforms the state... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the important topic of treatment planning which is the fundamental basis of precision medicine in the last decades extensive research has focused on the extraction and definition of nov... | the paper proposes to combine mr image embeddings from a resnetstyle network with clinical data with the prognostic aim to predict future lesion counts and disease activity a set of treatmentspecific mlps are trained on the joint image clinical data representation to this end the approach is evaluated in a multicentric... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the khop message passing gnn the paper shows that the original khop gnn is more powerful than 1wl to further improve its expressivity the author further proposes to use the induced subgrap... | the reviewers generally agreed that the paper is well written with many examples that the theoretical analysis is interesting and that the experimental results are promising the reviewers raised questions regarding four main aspects of the work that were satisfactorily addressed by the authors during the rebuttal 1 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the effects of regularization techniques including data augmentation da weight decay and dropout on perclass accuracies in image classification problems they demonstrate that when we pic... | this paper studies a natural and important question could techniques that improve the average performance hurt performance on individual classes the paper provides comprehensive experiments to answer this question in the positive for data augmentation weight decay and dropout the authors have made significant attempts ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper focuses on residual gradient compression rgc as a promising approach to reducing the synchronization cost of gradients in a distributed settings prior approaches focus on the theoretical value of good... | this paper proposed residual gradient compression as a promising approach to reduce the synchronization cost of gradients in a distributed settings it provides a useful approach that works for a number of models the reviewers have a consensus that the quality is below acceptance standard due to practicality of experime... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work introduces a new architecture for predicting the acoustic scattering fields from an object and an incident plane wave this is done by describing the object using a point cloud mesh whose local geo... | the authors were responsive to the comments of the reviewers both in the rebuttal and in the revision to the manuscript however the reviewers were still concerned about the lack of clarity of the manuscript the motivation for the design decisions and errors present also in the rebuttal revisions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a postprocessing method they call an ethical module which is composed of a shallow multilayer perceptron trained with a von misesfisher loss the authors also introduce two new fairness ... | the paper proposes a novel postprocessing method technique that can mitigate the model bias called the ethical module it transforms the deep embeddings of a given model to give more representation power to the disadvantaged subgroups the idea of resolving discrimination against a specific group through effective post... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission proposes a diffeomorphic spatial transform network which considers the specific transformation ie diffeomorphism in the data the research topic is quite interesting but the submission is at ... | this paper has initially received mixed reviews with two favorable and two unfavorable reviews several serious issues have been raised in particular on experiments and validation limited novelty limited performance improvement on the preliminary stage of the paper in particular presentation and writing and on the justi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach to construct surrogate objectives for the effective application of policy gradient methods to combinatorial optimization without known neighborhood structure the surrogate is ... | the paper investigates a variant of the crossentropy method cme for heuristic combinatorial optimization based on stochastically improving a search distribution via policy optimization in a surrogate objective unfortunately the reviewers unanimously recommended rejection noting that the significance of the contributio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the idea to consider uncertainty is interesting and it helps to select the most meaningful points for updating the model 2 the experiments can be recognized as solid and the ablation study can prove the e... | this paper proposes an online active learning for chest xray image annotation it claims three novelties 1 it improves the classification performance with fewer manual annotations than current approaches 2 it selects informative uncertain samples and 3 it assigns pseudo labels for highconfidence samples in an online mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a linerization method for ricci flow that is used for manifold surgery which makes the process more robust the paper is heavily theoretic and expects a lot of background knowledge in dif... | ricci flow is a central topic in geometric analysis it has had stunning applications in mathematics most notably the proof of the poincare conjecture the major issue is that it while it can be used to make a manifold more wellbehaved it frequently develops singularities the main contribution fo this paper is in introdu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
updated review 719 i have read the discussion and am satisified with the authors responses i have increased my score to reflect this the authors provide a dataset and benchmarks for textual world m... | all three reviewers agree that the paper provides an interesting dataset for textual world modeling along with the experiments for two specific tasks ie knowledge graph prediction and valid action prediction this resource could be helpful to make progress towards the development of agents that interact with their envir... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel solution to an interesting problem when kbs are automatically expanded user feedback is crucial to identify incorrect and missing entity attributes and relations more specificall... | the paper presents an interesting methodology the results are interesting however the paper really misses out on an indepth discussion and reflection of the pros and cons of this approach as well as on a proper related work comparison to similar approaches |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hardimagenet is a dataset with a formulized a task and metrics aimed towards solving an image recognition model unwanted behavior referred to as reliance on spurious cues this phenomena happens when class l... | the paper has gone through the ethics review as per the suggestion of the ethics reviewer the authors confirmed with the irb of their institute that irb approval is not needed for the study the paper thus does not have serious ethical concerns after the discussion period the paper obtains an average rating of 62 from ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provide a solid convergence analysis which suggest adam can converge to stationary points by picking proper beta1 and beta2 after fixing n the conclusion is proved without assumpti... | this paper proves that the vanilla adam algorithm can converge to a stationary point with properly chosen beta1 and beta2 if the number of samples n is fixed in contrast to the wellknown nonconvergence example by reddi et al this result has a clear conceptual message which justifies the use of vanilla adam and its wort... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents ehrsql a new texttosql dataset for question answering qa from electronic health records ehrs the paper provides a comprhensive description of the methodology used to create the dataset i... | this work builds a new texttosql dataset ehrsql using two widely studied medical record databases namely mimiciii and eicu the questions are collected using a poll conducted with medical experts and hence are realistic and not synthetic ones another interesting aspect of this work is that the questions collected are ti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an interesting paper that discusses the robustness of the transformers patchwise architectural structure the authors experimentally show that patchbased transformations largely destroy images to be ... | the reviewers agree that this is an interesting work some concerns were expressed especially regarding the limited gain of the method and the generality to other types of vits but overall the reviewers recognize the technical contribution from this paper and the ac agrees with their decisions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents reward modeling methods for nonmarkovian rewards leveraging lstms to update a hidden state and encode the trajectory history it performs experiments in custom environments with nonmarkov... | the reviewers have agreed on many points at least after some help from the authors explanations and changes in the rebuttal the problem formulation is interesting in particular as it relates to evolving human preferences but also in the practical experimental cases the writing is clear and the technical solutions are i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
recently multiple research papers focus on task transformations by bridging the gap between different tasks1234 the original idea may go back to 5 this paper follows this line of research ideas by reducing ... | this paper proposes a general framework to use mt to solve structural prediction problems the method is well developed and be verified in an arrange of tasks including entity recognition relation classification event extraction semantic role labelling coreference resolution and dialog state tracking and achieves new st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses an important open problem it presents some interesting ideas for regularizing the learned metric space and shows nice empirical results and visualizations to support how their mathemati... | meta review this paper proposes some modifications to lee et al 2018bs methodology of gaussian clustering of the latent space for ood detection the reviewers were a bit split over the decision with most finding the results compelling if not impressive but the proposed modifications incremental i agree yet ultimately ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper performs a study on the adversarial robustness of vision transformers it provides some insight on vision transformer from the robustness perspective strengths 1 as claimed this work provides the... | the paper studies the adversarial robustness of vision transformers the authors conclude that vision transformers are generally more adversarially robust than the convolutional neural networks several interesting empirical conclusions are made for the robustness property of vision transformers sufficient empirical expe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose sandwich affine strategy to separate the affine layer in bn into one shared sandwich affine layer cascaded by several parallel independent affine layers such method should ... | this work proposes a novel reparameterization of batch normalization that is hypothesized to give a better inductive bias for learning several tasks including neural architecture search conditional image generation adversarial robustness and neural style transfer the reviewers indicate that this is useful and is of int... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a molecule representation learning method which is guided by chemical reactions in particular it leverages chemical reaction equations by forcing the sum of reactant embeddings and the s... | this paper uses chemical reaction data as a means to help train molecule embeddings by requiring embeddings to satisfy known reaction equations the idea is nice and clear and the paper includes strong empirical evaluation all four reviewers agreed the paper could be accepted with two of them raising their scores after ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to address the problem of adversarial attack for low shot image classification this work is motivated by the challenging scenario where there is a need of significant amount of data to train... | this paper finally received divergent and borderline reviews with one positive 6 and two negative 5 rates based on the reviews authors responses and updated manuscript we would like to decide to reject this work at this time even though this submission has a lot of potentials such as simplicity and efficiency positivel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a fast way to get bayesian posterior by using a pretrained deterministic model specifically the authors first train a standard dnn model and then use it to initialize the variational p... | this paper aims at improving the adoption of bayesian nns by providing a practical and user friendly variational inference method the main ideas consist of two parts 1 warmstart the variational inference from a pretrained deterministic nn it takes advantage of existing deep learning library features for easy implementa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the current paper considers the relation between convolutional neural networks and gaussian processes from theoretical and practical point of view the main contribution of the paper as presented by the aut... | this paper builds on a promising line of literature developing connections between gaussian processes and deep neural networks viewing one model under the lens of the infinite limit of another can lead to neat new insights and algorithms in this case the authors develop a connection between convolutional networks and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors extend previous work eigengame from fullbatch updates to stochastic updates they propose an unbiased stochastic update that is asymptotically equivalent to the deterministic update but it allows... | motivated by the recently proposed eigengame this paper proposes an unbiased stochastic update to replace the biased one in the original eigengame the new algorithm is asymptotically equivalent to eigengame enjoys better parallelism on big data and beats eigengame in experiments some reviewers are originally concerned ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper two linguistic verifiers are proposed to improve the model performance on machine reading comprehension datasets such as squad v2 newsqa and triviaqa the first verifier rewrites the question b... | the authors propose two linguistic verifiers for improving extractive question answering when the question is answerable the first replaces the interrogative in the question with candidate answers and evaluates the result both in isolation and in combination with the answercontaining sentence to do answer verification ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a unified metalearning neurosymbolic framework for fast visual concept learning from diverse data streams it introduces a new embedding prediction module to integrate visual examples and... | this paper presents a meta learning framework to learn novel visual concepts with few examples the proposed falcon model uses an embedding prediction module to infer novel concept embeddings this is done via paired image and text data as well as supplementary sentences the resulting systems shows improvements on a seri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed to leverage the power of a frozen bidirectional lm to tackle the zeroshot video questionanswering task adapters and projection layers are added to the model as the only trainable weights... | the submission introduces a zeroshot vqa model that combines frozen video and bidirectional language models by training additional projection and adaptor layers the method significantly outperforms related previous work that uses only unidirectional language models while the approach is somewhat incremental technically... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a framework which attempts to find a weighted subset of the unlabeled pool that matches the loss on all the points this paper introduces a seminorm on the loss functions and proposes an ... | this paper presents a batch active learning approach where in each active learning round instead of a single input we wish to select several inputs to be labeled the paper attempts to solve this problem by posing it as a sparse approximation problem and shows that their approach performs favorably as compared to some o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is trying to find a saddlepoint of a lagrangian using mirror descent mirror descent based methods use bregman divergence to encode the convexity and smoothness of objective function beyond the eu... | this paper investigates the usage of the extragradient step for solving saddlepoint problems with nonmonotone stochastic variational inequalities motivated by gans the authors propose an assumption weakerdiffrerent than the pseudomonotonicity of the variational inequality for their convergence analysis that they call c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a general framework for evaluating the fairness of a decisionmaking system based on concepts from theories of distributive justice the authors first point out the limitations and shortco... | the paper grounds several fairness notions used in machine learning in principles of distributive justice the stated motivation is to understand the normative choices behind each and to combat the shortcoming of some of these notions the main concerns of the reviews were that this grounding is very limited in terms of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview in this paper the authors studied the problem of composition and decomposition of gans motivated by the observations that images are naturally composed of multiple layouts the authors proposed a n... | this paper investigates composition and decomposition for adversarially training generative models that work on composed data components that are sampled from component generators are then fed into a composition function to generate composed samples aiming to improve modularity extensibility and interpretability of gan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a generalization bound and a reverse kl term to match the marginal distribution pros 1 marginal distribution alignment is an importance backbone for domain adaptation while the popular ... | this paper derives a generalization bound on target loss based on training loss and reverse kl divergence between source and target representation distributions then proposes an algorithm for da using inverse kl on representations they show that inverse kl term can be estimated efficiently without the need for addition... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is aimed at using the automatic generation of unit tests as a means to perform transpilation ie the translation of code from one language to another the authors demonstrate their technique from j... | this paper is about unsupervised translation between programming languages the main positive is that it introduces the idea of using a form of unit test generation and execution behavior within a programming language backtranslation setup and it puts together together a number of pieces in an interesting way texttotext... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new multimodal signature and digit string msds dataset including two subsets msdschs chinese signatures and msdstds token digit strings which is the largest publicly available chinese ... | the paper gets divergent reviews initially the reviewers appeciate the largest publicly available scale of the dataset for handwriting verification novel data collection process extensive experimental validation on baselines and modality fusion and findings on the importance of token digit string the main concerns incl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to bridge the concept of the normalizing flow model with the structured layers that encode the domain knowledge also called inductive bias here the general idea is to first notice that many... | this paper proposes a method for incorporating inductive biases into the model architecture of normalizing flows through a suitable probabilistic program all reviewers agree the paper makes an interesting contribution to the growing normalizing flow literature the paper is well written and the idea is novel additionall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel and useful simulation environment that can be used to evaluate certain classes of causal models evaluation in causal learning and reasoning is complex largely because causal mode... | the reviewers agree that the causalcity simulation engine provides a useful testbed for causal inference methods that combines an ability to simulate counterfactual scenarios with appropriate complexity to feel like a nontrivial benchmark at the same time the configuration interface provided by the simulator provides a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors studied informationtheoretic lower bounds of posterior contraction rate for gaussian process regression with compositional assumptions specifically if the true function is a genera... | the reviewers unanimously agree that the theory here exhibiting a particular case where gaussian process priors are inferior to deep gaussian processes is interesting and furthermore that the proof techniques themselves are novel indeed reviewers had minimal or no substantial concerns about the paper and most of the qu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes fair mixup for training fair classifiers inspired by the mixup algorithm which was presented to improve the generalization performance in zhang et al 2018b fair mixup pick two samples f... | paper summary the goal of this paper is to improve generalization of fairness metrics by borrowing ideas from mixup which attempts to improve generalization in the nonfairness setting by introducing convex combinations of training examples as virtual examples they adapt this idea by interpolating between protected g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper pursues the research question of how to evaluate representation learning for echocardiographic data ultrasound images of the heart this is tough because available openaccess datasets while valuabl... | the consensus among the reviewers was that this work covers an important topic and a broad number of tasks there were concerns about the documentation reproducibility and accessibility of the dataset but the authors have done a good job in addressing most of these concerns with documentation an api and example notebook... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an adaptive framework called neada for solving nonconvexstrongly concave ncsc minimax problems which achieves the bestknown rates both in the deterministic and stochastic settings up to l... | during the rebuttal it was agreed that this paper provides good explanations regarding the machineries that allow to guarantee convergence for minimax nonconvex stronglyconcave problems the nesting technique together with the adagrad stepsize are nicely composed and the proof technique is nontrivial i therefore recom... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the article proposes a new model for pretraining 3d vision downstream tasks with masked image modelling the authors focus on improving the performance for monocular 3d vision downstream tasks such as depth ... | combining masked image modeling with crossview completion the paper develops a selfsupervised pretext task appropriate for learning visual representations for downstream 3d tasks after the author response and discussion period all four reviewers give positive ratings the pretext task design is novel wellmotivated for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve the problems that arise from using mi in clustering tasks they generalise the mutual information by changing its core distance introducing the generalised mutual information gemini... | this work presents alternative measures of discriminative distance between distributions that are alternatives to mutual information addressing the problems that arise from using mutual information in clustering tasks drawbacks of applying mi in clustering problems are discussed and a replacement is proposed by general... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros an adversarial generatordiscriminator training pipeline based on efficientsegnet cons lack average used gpu memory
### Summary: | reviewer 2 1 please include the orcid for all authors 2 please provide the results w and wo unlabeled data on the validation set 50 cases 3 please analyze the segmentation efficiency 4 please adjust the window size and level of ct images to 40040 in fig 5 5 fig 45 can be zoomed in to fill the space reviewer 3 1 the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a novel neural network layer to model partial monotonicity in regression analysis to enforce monotonicity wrt a subset of input features the authors define a hierarchical lattice structur... | overall the reviews about this paper are very positive the authors spent great effort engaging in discussions and improving the paper with clarifications and additional experiments we recommend accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the task of point cloud completion aiming to infer an implicit occupancy representation given a sparse input point cloud following recent practices the approach represents the shape via a... | this submission generated a lot of discussion the main strengths of the paper it is an interesting application of metalearning to 3d shape completion and a novel one it appears to work well it is remarkable that the proposed model can reconstruct shapes as well as it does given a point cloud with only 50 input point... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
nbsp the authors provide an extensive benchmark for molecular property optimisation together with a nearexhaustive empirical evaluation of molecule generation architectures i believe this project is timely... | five out of the six reviewers are supportive to this work there have been very extensive discussions between the authors and reviewers during rebuttals especially the one reviewer who provided slightly negative recommendations overall i feel most of the concerns have been addressed and thus recommend an accept |
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