Input stringlengths 251 41.6k | Output stringlengths 137 9.7k |
|---|---|
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel graph convolutional layer inspired by the pseudodifferential operator the proposed conv layer is based on eqs13 which is inspired by the differential operators such as gradient ... | all three reviewers expressed consistent concerns on this submission in their reviews in addition none of them enthusiastically supported this work during discussion it is clear this submission does not make the bar of iclr thus a reject is recommended |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a selective token generation method for additive learning under pretrained language models specifically the authors introduce a selective module to decide the generation policy of tokens... | this paper presents a reinforcement learning inspired algorithm to train taskspecific adapters to adapt pretrained language models for downstream tasks the paper attempts to tackle an important problem all reviewers have concerns about whether the results are strong enough to justify claims made in the paper i apprecia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is not ready for publication in iclr or most other venues the model is poorly motivated many modeling choices are confusing and the experiments are not convincing i found much of the paper conf... | this paper introduces a planning phase for nmt it first generates a discrete set of tags at decoding time and then the actual words are generated conditioned on those tags the idea in the paper is interesting however the papers experimental settings could improve by comparing on larger datasets and also using strong... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper propose a novel approach to learn the optimal step size or step adaption of ode solvers by fitting a neural network to the logtt err logh residual to my knowledge the learning algorithm p... | reviews were generally positive though questions remain about the applicability of the method in systems of higher dimensions the reviewers suggest discussing the connections between the proposed approach and other learningtosolve methods such as hypersolvers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the characteristics of the method integrated gradients as an attribution method that has been proposed to explain black box models baselines in analyzing integrated gradients are discuss... | this paper analyzes analyze the fairness of integrated gradient based attribution methods the authors exploit shap and bshap two approaches based on the theory of shapley values as the reference of fair methods specifically they present an attribution transfer phenomenon in which the integrated gradients are affected b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes improving the generalization performance offline rl algorithms by using a new approach to aggregate observations based on the similarity of their expected future behavior the idea of agg... | the paper proposes a new offline rl technique to generalize across domains the paper was initially confusing ie mdp vs pomdp and weak empirically the authors greatly improved the paper however a the end of the day it is still not clear why the proposed approach performs better than existing techniques we can think o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is dedicated to the sign language production problem in the paper based on vqdiffusion the authors propose the posevqdiffusion model to generate the pose sequence with iterative refinement the pro... | the paper is interested to the sign language production slp problem a vector quantized conditional diffusion model is proposed for the pose generation the proposed method achieves stateoftheart results on the slp evaluation benchmark phoenix dataset reviewers all agree that the key contribution is very interesting m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the predictive parity pp notion of fairness and conducts theoretical and empirical analysis in particular the paper considers the form of fair bayesoptimal classifier as groupwise thres... | the author considers fair bayesoptimal classifiers under predictive parity the authors show that under some sufficient conditions all such classifiers are groupwise threshold rules they also show that htis is not necessarily the case when the condition does not hold some empirical results are also provided the reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors describe how to apply a log signature to temporal datasets this operation reduces dimensionality along the time axis at the price of adding some dimensionality to the spatial dimension t... | this paper presents a method for improving the learning of neural controlled differential equation cde models neural cde models provide a number of advantages over neural ode models in terms of their ability to incorporate continuoustime observations the primary strength of this paper is that it proposes a mathematical... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes 6 rules for continual learning experiments specifically they propose to 1 test for extreme continual learning settings 2 report random guess performance 3 evaluate naivesimple metho... | this paper is a scholarly examination for how to conduct continual learning evaluations proposing six rules that in large part synthesize work from other papers while there is certainly scholarly benefit to such an exploration all reviewers believe that the contribution is not substantial enough in its current form to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
traditional quantum neural networks suffer from poor trainability and one biggest reason is that the gradient vanishes exponentially with the input qubit number the paper proposes tensor treett circuits b... | this paper introduces two new quantum neural networks with specific structures ttqnns and scqnns the main contribution of this work is to show a theoretical lower bound that the gradient of the two neural networks at random initialization with respect to certain training objectives is well lower bounded by 22 l where l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduced a novel task namely recursive textconditioned shape generation in this setting the model needs to generate a 3d shape given the initial text and subsequently evolves it in multiple step... | this paper presents a recursive text to shape generation system introduce a new dataset for texttoshape and presents good performance of the proposed method this paper has the potential of inspiring future work i encourage the authors to add a discussion eg at limitations or future work of the necessity of proper metr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to leverage problemdomain symmetry for planning problems defined over small 2d lattices the key idea is to extend value iteration networks by using steerable convolutions to ... | the paper addresses path planning with rgb inputs by leveraging the workspace symmetry to that end the authors propose a endtoend differentiable planner that builds on top of vins and evaluate the method of several 2dgrid planning tasks the reviewers recognized that the method presents a performance improvement compa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an algorithm to transfer a source pretrained deep model into a new one for a given target task the idea is to wire in a certain way the intermediate representations of the source model in... | this paper tackles the problem of how to utilize a network from the source domain to benefit target domain training in terms of sampletraining efficiency in contrast to prior methods eg that perform finetuning or distillation this paper poses it as a bandit problem that decides how to wire intermediate representations ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a joint training strategy that combines supervised learning on parallel data and selfsupervised learning on monolingual data for nmt the monolingual sentences are corrupted with word ord... | in this submission the authors propose a sophisticated pretraining strategy for neural machine translation based on the paradigm of selfsupervised learning despite some interesting and potentially significant improvement in various machine translation settings the reviewers as well as i myself could not determine where... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel approach to jointly model text and stock price information and fuse them for stock market forecasting it encodes text and stock price information in parallel and then fuses them ... | this paper proposed a new approach to jointly model text and stock price information and fuse them for stock market forecasting it encodes text and stock price information in parallel and then fuses them using a coattention transformer according to the reviewers the design of the model is not very well justified and se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work is built on top of irm aiming to solve an issue in the biomedical domain where there are very few instances in a given environment the authors first proposed a new scheme rgm to apply tig... | the paper has some interesting points in extending irm to regret minimization and extending to structured environments i can see the writing has been improved in the revision the main criticism arises from the experiment which can be improved in several aspects the reviews have been quite detailed and helpful |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve the rigid registration of 3d point clouds using a deep neural network the key difference from previous methods is that this paper proposes a regionconditioned transformation specifi... | this paper proposes a learningbased method for shape registration that conditions on regions of the shape rather than learning from the entire point cloud in one shot the reviewers point out several questions about the method thanks to expository issues as well as missing comparisonsablation studies as the authors ha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors focus on vehicular motion forecasting on roadways to this end they propose an interesting tweak to existing approaches in addition to maximizing the likelihood of ground truth traj... | this paper makes use of the unlikelihood objective from welleck et al 2019 which was shown in nlp to the problem of forecasting motion trajectories on roads the unlikelihood term is meant to lower the probability mass in nondriveable areas the paper makes use of trajectron and existing trajectory forecasting model to d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i am not confident about the strengths but do have a few comments 1 a 3dnet architecture with a dataconsistency loss to regularize the training in the data augmentation schema 2 extensive and meaningful... | the proposed paper proposes an incremental methodological improvement when compared to existing method from the author however the reviewers agree to find the proposed application of great interest and the paper clear and relatively well organised unfortunately none of the queries of the reviewers were answered during ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an interesting idea where the authors propose surfacefusion where they use the source embeddings learned by the encoder to modulate the output of the decoder at the final layer the authors claim thi... | this paper proposes finegrained layer attention to evaluate the contribution of individual encoder layers this departs from the standard transformer architecture where the decoder uses only the final encoder layer this paper investigates how encoder layer fusion works where the decoder layers have access to information... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper reveals and studies a new problem that kd is posing a potential risk of intruding the intellectual property ip of released ml models or their training data even trained ml models are rele... | the paper argued some viewpoint about knowledge distillation quite interesting to me the technically good kd might surprisingly be socially bad in helping outsiders stealing commercial models even if the models are released as black boxes then the paper proposed a way called selfundermining kd in order to turn a well t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality the proposed generalpurpose framework for modeling cmm spaces is worthwhile and insightful by using a set of domainagnostic regression cost functions instead of the adversarial loss it improves both... | the paper proposes a model and a training mechanism for multimodal generation the reviews are generally positive they praise the generality of the method the extensive experimental evaluation and the good empirical results overall no major concerns were raised and all reviewers recommend acceptance a couple of concern... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper focuses on exploration with intrinsic rewards and proposes to use the difference of inverse visitation count as the intrinsic rewards the method outperforms some existing baselines with i... | the reviewers have mixed views about this paper however it seems to me that the paper is missing some important related work on nearoptimal exploration and it is only picking a couple of superficially similar approaches to look at in particular the standard benchmarks of rmax ucrl and posterior sampling do are not me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a novel informationtheoretic framework for understanding deep learning under the proposed framework the sample complexity of learning a deep neural network scales linearly with the number... | while some reviewers have expressed some criticism for the possibility that some assumptions might be unrealistic all the reviewers commented on the refreshingly novel approach that could lead to new directions of research hence while not perfect this is an exciting paper that should be accepted at the conference pleas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed to use other highdimensional representation instead of direct onehot class labels in image classification problem they used spectrogram of the pronunciations ttsbased generated speech of ... | this paper proposes to use high dimensional representation for labels to strengthen the adversarial robustness of deep neural networks experimental results demonstrate that the proposed method improve adversarial robustness all reviewer agree that the authors propose an interesting idea and this direction deserves furt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
differentiable neural architecture search nas and more recently perturbationbased operation selection in differentiable nas is a popular recent area of study in nas in parallel zerocost proxies are also gai... | this paper received scores of 5568 the reviewer giving a score of 8 stated that they wouldve given a 7 but that that is not an option in the system the other reviewer giving an acceptance scores mentioned that they would also be ok with a rejection the details of the assessment are thus less enthusiastic than could be ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in their paper the authors test the abilities of different language models with regard to their ability of integrating counterfactual information in their decision process section 2 contains exper... | paper investigates whether lms need world knowledge for causal inference this is an interesting question the experimental results show that there is still quite some work to be done for instance gpt3 distinguishes conditions based on counterfactual cues but nonetheless still shows strong influences from lexical associ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors explore an interesting extension of bradshaws generative model for synthesis trees which leads to results for molecule optimisation and generation which are competitive to less restricted models... | after much back and forth about prior work 3 reviewers score this paper as an 8 and one scores it as a 3 other reviewers have written to the 3 and told them they believe that their review is now too harsh in light of clarifications wrt related work i tend to agree though i must admit that i am not an expert on this top... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study a multiblock minmax optimization problem and propose a singleloop randomized stochastic algorithm to solve this class of problems with provable convergence rate guarantees it... | this paper propose novel algorithm for a class of minimax problems the iteration complexity is established the proposed algorithm is applied to auc maximization a very important problem in machine learning considering the contributions in both theory and practice this is a solid work to the machine learning community |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a retrievalbased model which uses querytoquery similarity for the wikisql semantic parsing task the method especially does well when labeled data is scarce the approach is simple yet e... | this paper proposed a simple and effective retrievalbased approach for texttosql semantic parsing for the datascarce setting the approach has been evaluated on the wikisql dataset and demonstrates gains over the previous best model sqlova when a small number of training examples were used it also demonstrates a zerosho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is motivated in an interesting application namely explainable representations of patient physiology phrased as a more general problem of patient condition monitoring explainability is formulated ... | the paper proposes an approach to define an interpretable representation in particular for the case of patient condition monitoring reviewers point to several concerns including even the definition of explainability and limited significance the authors tried to address the concerns but reviewers think the paper is not ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for bayesian metalearning this method combines a nn feature extractor with a gaussian process on top the gp kernel is linear the information bottleneck is used to motivate a choi... | information bottleneck is a wellknown principle that is used for clustering dimensionality reduction and recently deep learning it finds a compressed representation of input x while retaining most information on the response y this paper addresses an attempt to interpret the metalearning using the information bottlenec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to learn the optimal transport map from the latent distribution to the data distribution directly by optimizing the w2 distance to find the ot map the authors replace y with tx in the kan... | the paper proposes a new method to learn ot maps and reframes it in the gan literature the initial method works when computing maps between equal dimensions through duality and an identity 10 11 amply discussed in the reviewing process lemma 41 provides the main result while the discussion right below on the fact that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a scorebased generative model sgm on compact riemannian manifolds the paper first points out three major components that contribute to the success of sgms in euclidean spaces linear sdes ... | the manuscript generalizes scorebased generative models to compact riemannian manifolds all referees agree that the method is novel technically sound and gives nice results i recommend the paper to be accepted to the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the problem is an important problem and motivation is strong efficiency is an important criteria in therapy planning problem definition and most of the literature are given in a concise and clear way inform... | this is a clear case all reviewers found several issues primarily missing novelty and limited literature review final ratings are all in favour of rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles a fair classification problem with an invisible demographic a situation where the records who have some specific target labels and sensitive attributes are missing in this setting the aut... | the paper studies the problem of satisfying groupbased fairness constraints in the situation where some demographics are not available in the training dataset the paper proposes to disentangle the predictions from the demographic groups using adversarial distributionmatching on a perfect batch generated by a clustered ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors introduce a library for differential weighted finitestate transducers wfst are commonly used in speech or handwriting recognition systems but are generally not trained jointly with th... | this paper introduces a framework for automatic differentiation with weighted finitestate transducers wfsts which would allow userspecified graphs in structured output prediction tasks and easy plugandplay of graphs through the composition operation demonstrated with variants of ctc the authors demonstrated their frame... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new sparse convolution kernel with the following properties the filters are outervectorwise sparse this means that the matrix of flattened filters has its columns split into vector... | while the reviewers had a difference of opinion in their scores of the paper on balance i think the overall evaluation described in the text of the reviews leans strongly towards acceptance this is especially the case because the only negative reviewer wrote if these two changes are made editing for languagegrammar and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a new iterative algorithm for densest subgraph dsg and densest subgraph decomposition dsgld problems the algorithm takes ofracsqrtm deltagepsilon iteration to converge to an epsilonaddit... | overall the reviewers found the paper to tackle an important problem and the level of technical novelty was high the experiments were also good clear accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes the bias introduced when regions of images are modified in order to measure the effect of a model with and without those features present in the image for model debugging purposes the au... | this work identifies an interesting bias that can occur when applying occlusion based interpretability methods to debug image classifiers for context the motivation behind many of these methods is that by occluding various parts of the image one can ask counterfactuals such as what would the model have predicted if thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper deals with alignment between embeddings of different languages the embeddings are contextualized representations produced by multilingual text encoders although alignment between static emb... | the paper investigates various methods for crosslingual alignment of contextual word embeddings it also introduces a new method based on density matching via normalizing flows to align contextual representations in two languages the paper has many strengths but also reviewers identify several major weaknesses including... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method to adapt the data to the quantizer instead of having to work with a difficult to optimize discretization function the contribution is interesting additional comments and sugges... | describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the proposed method is novel and effective the paper is clear and the experiments and literature review are sufficient especially after revision 2 describe the weaknesses of the paper as pointed out by the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a parameterization of the scatter transform on graphs and builds graph neural networks based on this parameterization authors also demonstrate that this scatter transform could ... | this paper proposes a simple yet powerful generalisation of graph scattering transforms that allows a flexible scale dilation structure retaining the stability guarantees of dyadic transforms experiments with strong empirical performance are reported on a variety of biochemical tasks reviewers acknowledged the soundne... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
goal this work considers the graph task of learning node representations that are invariant to small edge perturbations it achieves this through a data augmentation procedure that samples new fake edges ... | the paper is concerned with learning transformation equivariant node representation of graph data in an unsupervised setting the paper extends prior work in this topic by focusing on equivariance under topology transformations addingremoving edges and considering an information theoretic perspective reviewers highlight... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a way to interpolate between gradient descent and gaussnewtons method for solving nonlinear least squares problems arising from physics informed training the authors cite past work that p... | thank you for your submission to iclr the reviewers and i are in agreement that the paper presents a substantial contribution to the field at the intersection of differentiable simulation and ml methods in particular the halfinverse method is compelling nonobvious and hints of a nice path forward towards the goal of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the appproach introduces visual abstractions that are used for reinforcement learning the abstractions are learned using a lower bound on the mutual information and options are created to generate different... | the paper presents an unsupervised visual abstraction model used for reinforcement learning tasks it is trained through intrinsic rewards generated from temporal differences of inputs this is similar to learning to control pixels the method is tested in dm lab 3d environment 2d navigation tasks and atari montezumas rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new architecture for learning dynamics models in 2d atarilike game words the architecture includes multiple layers of abstraction a motion detection level which looks at which pixels c... | this paper tackles a very valuable problem of learning object detection and object dynamics from video sequences and builds upon the method of zhu et al 2018 the reviewers point out that there is a lot of engineering steps in the object proposal stage which takes into account background subtraction to propose objects i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how the prediction head in noncontrastive learning avoids trivial collapsed solutions full collapse or dimension collapse the empirical observations made in the paper are 1 initializing t... | this paper proposed a theoretical explanation to the open question of why byolstyle noncontrastive selfsupervised learning does not collapse to trivial solutions this paper could be an important contribution to better understanding this widely observed but poorly understood phenomenon although there are still some issu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an explanation method for deep reinforcement learning strength 1 the paper proposes a new explanation method against deep reinforcement learning weakness 1 the utility of the explanation... | this paper presents a new perspective for understanding reinforcement learning policies based on metastates as an effort to improve the explainability of rl control policies after reviewing the revised paper and reading the comments from the reviewers here are my comments the paper is wellwritten and very concise t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows a connection between the reward maximization rm approach and the distribution matching dm approach for finetuning language models the authors further suggest borrowing the baseline idea fro... | this paper explores the connections between reward maximization rm with reinforce and distribution matching dm with distributional policy gradients dpg for finetuning language models based on this the paper proposes to apply a baseline an idea in reinforcement learning in dm to reduce variance and improve sample effici... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a study on orientation selectivity in dnns for image classification arguing that this type of selectivity in the lower layers is crucial for generalization this hypothesis is tested throu... | the authors conduct experiments to study orientation selectivity in neural networks the reviewers generally agreed that the paper was clearly written and easy to follow further the experimental analysis demonstrates that contrary to what was claimed in some previous work the learned orientation selectivity can be use... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors presented new scalable actorcritic marl algorithms built on the notion of action anonymity that scales polynomially with the number of agents and when compared to recent manyagent marl methods that ... | meta review this paper receives positive reviews from the reviewers the major merit the novelty of the proposed algorithm and its convincing empirical performance 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:
votingbased approaches for dp 1 summary of the paper this paper addresses the problem of learning a private model in an fl setting it assumes that the server has an unlabelled dataset on which learning ha... | this paper adapts the semisupervised dp learning methods based on voting to fl specifically pate and privateknn the adaptation is fairly straightforward as those methods rely on averaging of votes a primitive that is a standard part of fl the framework assumes that unlabeled data from the same distribution is available... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a probabilistic channel pruning method based on batch whitening to accelerate and compress cnns the strength of this paper can be summarized into the following points 1 this method has so... | the reviewers consider the authors approach to pruning of convolutional networks reasonable but neither sufficiently novel nor sufficiently well explored for inclusion in the conference in particular the reviewers would like to see a more explicit discussion of the effect on training time of the authors method and mor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a dataset apt36k for animal pose estimation and tracking apt36k consists of 2400 video clips collected and filtered from 30 animal species with 15 frames for each video resulting in 36000... | after careful review i believe that this paper is a useful contribution to the study of animal pose estimation and tracking the paper received positive reviews from all the reviewers and the authors have successfully addressed the concerns regarding the lack of sufficient novelty and insufficient benchmarking the autho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses a surprising failure mode of multimodal vaes in which their generation quality lags behind that of unimodal vae a theoretically grounded explanation based on the elbo of the multimodal v... | this paper provides an investigation into the quality of generations made by multimodal vaes all reviewers were in favor of accepting the paper and there was quite a bit of detailed discussion and clarifications in the revised version of the paper which led two reviewers to raise their ratings overall this is an intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors provide a variance reduction algorithm sagda for federated minmax optimization which covers federated sgda as a special case they analyze the theoretical convergence and communication costs of t... | while the reviewers have shown some concerns regarding presentations the paper has substantial contribution it is suggested that the authors improve their presentation taking the suggestions from the reviewers this paper will gain from clarifying the contributions overall the novelty of minmax optimization coupled with... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces recursive mdps rmdps as a formalism for representing a large class of infinitestate mdps as a finite set of component mdps that may recursively call each other the authors first presen... | the paper has generated a lot of discussion and on balance the reviewers appreciate its technical contributions but find that the paper would benefit from a more indepth discussion of its relationship to hierarchical rl |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper addresses the problem of multidomain fewshot image classification where unseen classes and examples come from diverse data sources and proposes a universal representation transformer urt... | this paper studies the problem of multidomain fewshot image classification and proposes a universal representation transformer urt layer which leverages universal features by dynamically reweighting and composing the most appropriate domainspecific representations in a metalearning way the paper extends the prior work ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies learning in stochastic games which are extensions of markov decision processes mdps from the singleagent setup to the multiagent one here the objective of each learner is to optimize her ... | the reviewers ac and pcs participated in a very thorough discussion ac ultimately felt that the work was unfinished and in particular that details in the proofs still needed work before publication |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper introduces a variant of backdoor attacks against visual object tracking vot networks 2 a baseline attack boba consisting of a standard classifier backdoor against the classification head of a s... | this paper proposes a fewshot untargeted backdoor attack fsba against siamese networkbased visual object tracking contributions can be summarized as follows first this paper treats the attack task as an instance of multitask learning and can be regarded as the first backdoor attack against vot besides a simple yet effe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript tackles the problem of maximising social welfare amongst agents for assignments of items to agents when agents only disclose their preference ordering of items base on a hidden score of each ... | this work studies a narrow but important problem of how much cardinal information is needed to achieve near optimal matchings the authors show that with just two queries one is required for any nontrivial results they can achieve nontrivial results in a very general setting moreover they show that their results are tig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates provable defenses to visible adversarial perturbations specifically the authors concentrate on defending against adversarial patches as introduced by brown et al 1 and not on other f... | the paper develops a novel provable defense against patchbased adversasrial attacks on image classification system by combining a novel architecture and certification procedure the theoretical and experimental contributions are convincing and clearly advance the state of the art in provable defenses against adversarial... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the trajectory of gd and sgd for kernel regression and the connection to generalization the paper shows that under some stepsize choices sgd has a directional bias towards sharp eigendirec... | this is an interesting paper aiming to separate the generalization properties of sgd and gd unfortunately the reviewers had many significant concerns primarily on the topic of the relationship to prior work by wu et al which has a similar setting and similar proof techniques but also regarding presentation and interpr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the benchmark provides the first two datasets to examine multimodal robustness in videotext settings through algorithmic perturbations to youcook2 and msrvtt the work offers a lens to understand how both te... | this paper proposes new benchmarks for probing videotext models robustness that include a multitude of visualtextual perturbations all of the reviewers have acknowledged the usefulness and effort put into the benchmark construction and presented analysis some of their concerns centered around lacking metric definitions... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose an incremental continual learning framework which is based on saliency maps on the learned tasksie explanations with the ultimate goal of learning new tasks while avoiding catastrophic forge... | the presented method proposes to use saliency maps as a component for an additional metric of forgetting in continual learning and as a tool as additional information to improve learning on new tasks pros r2 r3 clearly written and easy to follow r3 new metric to compare saliency masks r3 interesting idea to uti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new dataset of video quality metrics for many video compressions the dataset consists of various videos encoded by a wide variety of standards the authors also provide subjective scor... | the submission receives 5 reviews form 5 reviewers and all are positive about the proposed dataset presented in the submission ac reads all reviews and discussions and agree with the reviewers ac recommends to accept the submission as a spotlight |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery specifically they introduce various genomewide crispr screens within immunology th... | this paper introduces a benchmark for experimental design algorithms for an important cellular biological question causal discovery of effective genetic knockout interventions it uses existing datasets the paper was discussed by the reviewers after the authors correctly pointed out that methodological machine learning... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the generalization ability of networks with zero training error has been heavily studied this paper extends beyond generalization to test sets to study the networks robustness to adversarial exam... | the paper seeks to understand how training overparametrized models eg those based on neural networks to zero training accuracy even when the test error is small ie benign overfitting can introduce vulnerabilities in the form of adversarial examples and how to remedy the situation the paper implicates label noise as one... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors focused on the contextual multiarmed bandit problems with the presence of a latent variable which is crucial and challenging in many domains they used prior knowledge about the graphical model t... | meta review the reviewers in general find the paper interesting there are questions regarding the strictness of the assumptions and scalability of the method however the author answered major questions and em is not the focus but a reasonable choice here where the scalability is a more general question i thus recommend... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to leverage structural clustering for pretraining heterogeneous graph neural networks in a selfsupervised manner the proposed shgp framework adopts attentive hgnn as the ba... | i recommend to accept this paper in this paper the authors propose shgp a technique to leverage structural clustering for pretraining heterogeneous graph neural networks in a selfsupervised manner after the rebuttal all the reviewers are positive to accept this paper i would encourage the authors to revise the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers the unsupervised learning for graph neural networks the work has solid theoretical analysis and extensive experimental studies to encode the structure information the khop egograph is us... | the paper presents a novel framework from transfer learning over gnns experiments ought to better substantiate how structural differencessimilarities are measured as well as relying on prior art to measure transferability success a plan for incorporating structural features would also strengthen the present work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors consider the problem of computing the number of communities k in an arbitrarily sparse graph generated under the stochastic block model smb previous studies that consider the probl... | this paper describes a procedure for estimating the number of clusters in assortative sparse networks generated from a stochastic blockmodel where the average degree scales sublogarithmically with the number of nodes the approach proposed by the authors is based on the spectra of the bethe hessian matrix the article i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new formulation to compute the distance between probabilities distribution on the hypersphere namely the spherical slicedwasserstein ssw the proposed formulation involves a novel sphe... | this paper has generated a long discussion and although it has strong theoretical merits we all concord that the paper lacks of empirical motivations as well as a strong empirical evaluations with respect to distance distributions not exploiting manifold sructure and thosed define on a manifold hence we believe that a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors develop new kinds of deep learning models for predicting energies and forces from 3d molecular structures their core approach is based on representing node embeddings as spherical signals spheri... | the paper presents a new model with stateoftheart results on the is2re task on the opencatalyst dataset 2 of 3 reviewers recommended acceptance while the 3rd reviewer raised issues with lack of baseline comparisons on small standard molecular potential energy surface datasets i am inclined to agree with the authors on ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of predicting links and timestamps in a temporal knowledge graph and proposes a novel neural hawkes model that uses the continuous neural hawkes formulation as its basis key ... | this paper propose graph hawkes neural networks ghnn which are suited for performing inference in temporal knowledge graphs by combining the continuous modeling provided by clstm with strong assumptions about how events can impact one another ghnn shows promising results compared strong baselines on the gdelt and icews... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of finding a firstorder stationary point of a nonconvex function which decomposes into a finite sum of lsmooth functions the main motivating prior work is the spider algorit... | after discussion with the authors all reviewers are satisfied with the technical quality of the paper achieving smoothness adaptivity in variance reduction is a significant result |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests a new approach to the construction of ensembles of deep neural networks dnn unlike previous methods which usually deal with multiple dnns of same structure authors propose to form an ense... | this paper proposes a new method to perform uncertainty estimation based on ensembles with diverse network architecture the reviewers raised a few concerns although it is ok not to compare with tao 2019 an active analytical comparison with baselines for ensemble diversification should not be overlooked eg yao et al ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a semisupervised ot formulation and its solutions and applied it to solving heterogeneous domain adaptation the weak supervision comes from limited labeling of a set of key points in so... | in this paper the authors propose a novel optimal transport problem that uses a small number of annotated keypoints in both source and target domain to encode additional information and guide the ot plan in the problem the authors propose a variant of the sinkhorn algorithm to solve the problem and show that it can be... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel high resolution dataset for precipitation downscaling collected from observational data in the southeastern us in addition to the dataset several novel metrics for evaluating sta... | this paper proposes a new dataset called rainnet obtained from gridded precipitation data for training precipitation downscaling methods as well as a new neural networkbased architecture for that task which estimates the underlying dynamics of the local weather system and new metrics for evaluating precipitation downsc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper makes an attempt at combining semisupervised and active learning the authors note that in restricted settings ssl and al can achieve exponential improvements over standard supervised learning wit... | the paper investigates an active learning strategy for speeding up the convergence for ssl deep learning algorithms when the ssl objective could learn a good approximation of the optimal model the proposed method efficiently converges to the result with a few queries the main idea is that when the eigenvalues of the nt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces eventnarrative an event centric knowledge graph to text dataset which is about 6 times larger than the current largest parallel dataset the paper highlights the data creation process i... | in this paper the authors provide a new very large dataset of 230k graphs for knowledge graph to text generation all reviewers found the large dataset itself and the process by which it was generated from reliable sources to be an important contribution with significant benefit over prior work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper follows a recent trend to improve generalization by mixing data from training samples in this case by mixing feature maps from different samples in the latent space one of the feature maps is add... | the paper describes a method to improve generalization by mixing examples in the hidden space experiments on cifar10 and cifar100 showed that the proposed method improves the generalization of the networks the reviewers found these results promising but argue that the experimental section was too weak in its current fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of learning disentangled representations while maintaining good data reconstruction as common modeling the latent representation is decomposed into disentangled representation ... | this paper presents a twostep approach to achieve disentangled representation and good reconstruction at the same time in deep generative models the first step focuses on good disentanglement eg with betatcvae while possibly sacrificing reconstruction reconstruction while the second step focuses on highquality reconstr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an extension to the clever dataset augmenting it with causal judgments of physical events the causal judgments are collected in the form of graphs and then converted to a qa format to tes... | in this paper the authors present video reasoning benchmarks the feedback from reviewers is largely positive while concerns mainly focus on the diversity of proposed benchmarks and clarification in the presentation which the authors have tried to fix during the rebuttal period i would recommend the authors to carefully... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to learn the first integrals of an ode system by a neural network and projects the time evolution of the dynamical system onto the submanifold defined using the discrete gradients of th... | although all reviewers find an interesting point and the significance of this paper some reviewers have several critical concerns in the paper such as the readability very hard to follow and lacking some important information and the nonconvincing empirical evaluations although it seems that the authors could answer pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a parameterefficient neural layer for relaxed equivariance the main idea is to use a nonstationary integral operator whose kernel depends on absolute group elements as well as relative g... | this paper received initially quite mixed reviews but after a strong rebuttal from the authors a number of reviewers increased their scores leaving it with an overall borderline positive rating the work was praised for the interesting and novel core idea the potential significance of the works contribution generally cl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propses maskedgan to help gans learn from the limited data by introducing two image masking strategies one is the shifted spatial masking and the other is the balanced spectral masking those two ... | this paper proposes two masking strategies to improve gans with limited data the idea is novel and these two strategies can nicely complement each other the experiment results are promising the reviewers unanimously raised questions on missing comparison which seem to be well addressed after authorreviewer discussion t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors frame the bivariate causal discovery problem in terms of the analysis of a dynamicalsystem they use results from the field of optimal transport to interpret additive noise models from this frame... | this paper is a solid contribution to researchers in this field as it provides a new idea for the basic problem of determining the direction of causality between two variables using the functional causal model as a dynamical system and optimal transport |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pretext physics simulators are evolving and pose as a good approximation of the real world differentiable simulators are evolving and can provide analytic gradients problem formulation can analytical gradi... | the paper was evaluated by 3 knowledgeable reviewers where 2 reviewers were leaning for acceptance and one reviewer argued for rejection rendering the paper a borderline paper the positive negative points that were raised about the paper during the discussion are summarized below strength the presented policy optimiz... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a quantization neural network to spiking neural network qnn2snn conversion method the authors first analyze the conversion error between ann and snn then they construct the ann with quan... | the authors present an improved method to convert anns to spiking neural networks snns first a network with quantized activations is constructed then it is converted they analyze the conversion errors theoretically in addition to previously considered errors li et al 2021 they also consider an error they call unevennes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors show that when a causal graph is assumed to be constituted of vertices belonging to specific types and that edges are assumed to exist only in one direction between any two classes the resulting... | this paper studies the problem of causal dag discovery under an additional assumption variables are typed and between two types of variables causal relations if any are all of the same direction typewise the paper presents useful results on the size of an markov equivalence class given the assumption and shows empirica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies offpolicy reinforcement learning where there is a simulation environment with uncertainty parameters and the set of their possible values the authors provided a solution of offpolicy acto... | this work proposes an actorcritic algorithm that optimizes the worstcase performance over a set of models a key step is in incorporating the uncertainty parameter in the actionvalue function a critic that estimates such a function and an actor that searches over both a policy as well as the uncertainty parameter leadin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the distribution shift problem in paraphrase identification the authors first verify that the distribution shift problem is mainly caused by the bias of negative examples to address th... | this paper tackles a discriminative problem by a generative model where the generation probabilities can be twisted to adjust negative samples weights reviewers generally found the paper interesting however one concern is that the paper only considers the paraphraseidentification problem which sounds narrow it is exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the learning to optimize l2o for minimax optimization since l2o has been studied in a few works extending l2o from continuous minimization to minimax is a straightforward idea and not sup... | the paper proposed twin l2o learning to optimize for extending l2o from minimization to minimax problems the authors honestly discussed the limitation of twin l2o and proposed two improvements upon it with better generalizationtransferability while some reviewer had some concerns on the motivation of applying l2o to so... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a particular task the xor detection problem in a particular setup see below and proves mathematically that in that case the training performs better when the number of features grows the ... | this paper tackles the problem of learning with one hidden layer nonoverlapping conv net for xor detection problem for this problem the paper shows that over parametrized models perform better giving insights into why larger neural networks generalize better an interesting question to study however reviews opined that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new model architecture along with a new loss to solve the abductive natural language inference anli task specifically this work hypothesizes that models benefit from the interaction be... | the paper studies improving model for abductive natural language inference task specifically they introduce information interaction layers and the joint softmax focal loss on positive notes their method shows persuasive empirical gains however reviewers found 1 the technical novelty of the approach to be limited revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends semantic segmentation models with a contrastive loss on representations at different locations in the image a separate representation head is built from the intermediate features between t... | an interesting paper with nontrivial results the reviewers all agree that the paper is above bar with two of them indicating strong vote for acceptance the simplicity of the proposed approach noted by some of the reviewers is in my view a positive overall a worthy contribution |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that the geometric random walk kernel is differentiable using implicit differentiation and can hence be used in a graph neural network to match an input graph to a set of learned graphs the... | this paper shows how to backpropagate through a kernel between graphs that counts common random walks of infinite length between the graphs reviewers tend to agree that the paper is wellwritten and the technical contributions are sound however there are concerns about the significance and novelty of the method relative... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.