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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work address the pretraining over code and text it proposes to leverage data flow as additional inputs and add two structure aware pretraining tasks besides the masked token prediction task the pretrai... | this paper proposes a simple extension to bertlike pretraining for source code models which allows incorporation of data flow information this is a new way of incorporating code structural information into models and it appears practical and effective reviewers are all in favor of accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses selfsupervised and supervised models trained with speech or auditory scene data to predict fmri activity in the auditory cortices of english french and mandarinspeaking participants it shows... | this paper compares learned selfsupervised speech representations to brain fmri representations for more than 400 subjects speaking english french and mandarin through the rebuttal period the authors and reviewers interacted extensively to discuss the contribution results and analysis provided in the paper most of the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is about improving conditional gans to be specifically it also aims to resolve the bias issue of acgan by proposing a discriminative classifier the discriminative classifier is a hybrid model of d... | the paper proposes a conditional generative adversarial network with an auxiliary discriminative classifier for conditional generative modeling the auxiliary discriminative classifier can provide the discrepancy between the joint distribution of the real data and labels and that of the generated data and labels to the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for answering nexttoken queries in a privacypreserving manner as opposed to training models with dp guarantees it adds privacypreserving guarantees during the prediction time the... | this paper develops a new mechanism submix that provides nexttoken prediction under a variation of the differential privacy constraint there is disagreement among the reviewers when assessing the quality of this work even though the study of private predictions in large language models is new the reviewers raised sever... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors investigate the role of the method of characteristics moc on the modeling of the latent variables of nodes and propose a new algorithm named cnodes cnodes parameterize the latent variables of no... | this paper proposed to model the evolution of the latent variables to the characteristic curves instead of the original odes authors proved the new method cnode is more expressive than the original node experiments are conducted on image classification tasks to demonstrate its effectiveness it will be good explorations... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview the paper proposes asymptotically equivalent reward shaping a new reward shaping approach that extent potentialbased reward shaping to allow for shaping functions that even if eventually alter... | summary this paper introduces a novel type of reward shaping not potentialbased that can work for mdps with 01 rewards eg systems with goal states i think the paper contains a nice nice of empirical results clear explanationsinsights and theoretical contributions as long as the authors do a good job saying upfront what... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper a novel topdown control network is introduced for multitask learning different from the traditional bottomup attention models the authors introduce a topdown module to modify the activation of... | the paper is very interesting and novel and all reviewers are of the same opinion the main concern however is on the experimental section that is limited to image classification benchmarks and that some critical comparisons are missing eg clarify factors that play key role in improvement more computation and therefore... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors report several metrics the dataset promise12 is challenging and is useful to benchmark different methods the topic of segmentation regularizationpostprocessing is important and relevant i... | the reviewers have provided very detailed argumented and constructive criticism of the paper although they acknowledge some interest to the paper they all agree on the fact that this paper had major flaws to be adressed missing baselines lack of clarity code availability the authors did not provide a rebuttal i fol... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an improved algorithm for supervised contrastive learning which they term selfcontrastive learning instead of only contrasting representations at one point in the network selfcontrasting... | this paper modifies the loss of supervised contrastive supcon learning by adding a selfcontrastive loss utilizing a multiexit network and contrasting the multiple outputs of this network the proposed selfcontrastive selfcon learning removes the requirement of additional data augmentation samples for creating positive p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a new loss function to learn feature representations for image datasets that are classimbalanced the loss function is a simple yet effective tweak on an existing supervised... | this paper studies the difference between crossentropy and contrastive learning losses in the feature representations that they learn specifically looking at classimbalanced datasets the authors show that contrastive losses result in a more balanced representation as measured by the balance of accuracy across the cla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the contribution is novel and potentially useful its a good fit for this workshop the paper is wel written however the empirical results are extremely preliminary the dataset that the authors experiment on ... | the paper is a good fit for the workshop and explores a set of new ideas the reviewers pointed out that the experimentally evaluation is lacking and that there might be gaps in the theory or at least in the presentation of it despite these shortcomings we decided to accept the paper to encourage discussion of novel con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents several new selfattention variants that extrapolate better to longer contexts the proposed kerple selfattentions are closely related to alibi selfattention in the alibi method a linear bi... | in the context of transformer models this paper builds on previous studies alibi embeddings to improving relative positional embeddings to generalizable better on long sequences the key contribution of the paper compared to the alibi approach is a nonlinear bias instead of a linear one proportional to the distance bet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a ganbased architecture called gtgan for generating synthetic samples for regular and irregular time series it comprises of two main components 1 autoencoderae encoder neural cde encode... | this paper presents a new model for time series data that can handle data sampled at irregular time intervals the proposed model makes extensive use of continuous time processes in a gan framework experiment results show that the proposed model consistently outperforms existing approaches all reviewers lean on the a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the stability of the stochastic gradient decent algorithm under different conditions they show a lower bound for the stability of sgd in the smooth and convex case and show that the bou... | the ac and reviewers agree this is an important line of research however only one reviewer was initially positive as the other reviewers raised some issues and the rebuttal only partially addressed some of them eg the reviewer is now ok with lemma 1 being correct but there are typos in the proofs and there were other i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper provides interesting theoretical insights in multitask learning using common and specific parameters modeling framework and based on leastsquares svm especially it is theoretically establi... | the reviewers and i all agree that this analysis of multitask and transfer learning from the random matrix perspective is novel and theoretically sound while some reviewers expressed concern about the restriction to gaussian mixtures the strength of the explicit results undoubtedly justifies this assumption and the gen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to reduce the number of operations in a cnn by reducing the input to subsequent layers via the clustering of intermediate input featurespixels the authors claim to incorporate th... | this work proposes a redundancy pruning mechanism for convolutional neural networks to optimize their performance for extremely resourceconstrained edge devices such as microcontrollers the work is based on a novel gradientoptimized locality sensitive hashing approach that removes a lot of the indeterminacy of previou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method for generating sequences from code to achieve this they parse the code and produce a syntax tree then they enumerate paths in the tree along leaf nodes each path is encoded via ... | overall this paper presents a few improvements over the code2vec model of alon et al applying it to seq2seq tasks the empirical results are very good and there is fairly extensive experimentation this is a relatively crowded space so there are a few natural baselines that were not compared to but i dont think that com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of contrastive multimodal pretraining assuming triplet training data video text audio it starts with uncovering the misalignment phenomenon existing among temporallyassociated... | authors present a mechanism to improve triple crossmodality alignment between videotext videoaudio with a shared encoding backbone the basic idea is to measure the cosine similarity between the gradients coming from videotext and videoaudio when the gradients conflict the authors postulate that this is caused by misma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper combines the benefits of using joint steerable filters using the so2 group for designing rotationequivariant cnns with those of decomposing the filters using fourierbessel bases for reduc... | this paper builds on the recent dcfnet decomposed convolutional filters architecture to incorporate rotation equivariance while preserving stability the core idea is to decompose the trainable filters into a steerable representation and learn over a subset of the coefficients of that representation reviewers all agree... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper incorporates convolutional models into selfattention to explicitly handle wordtophrase correlation paired with a sparse masking strategy to balance between wordtoword attention and wordtophrase a... | this paper proposes a multiscale fusion self attention model for phrase information which incorporates convolutional models into selfattention to explicitly handle wordtophrase correlation this is paired with a sparse masking strategy to balance between wordtoword attention and wordtophrase attention the model achieves... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of adversarial examples generation the authors phrase the following problem given a set of models c we want to find an adversarial perturbation that maximizes the loss on an e... | four reviewers have evaluated this paper the reviewers have raised concerns about the specific formulation used for adversarial example generation which requires further clarity in motivation and interpretation the reviewers have also made the point that the experimental evaluation is against previous work which tried ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the task of adversarial defense particularly against untargeted attack it starts from the observation that these attacks mostly minimize the perturbation and the classification loss and... | i thank the authors and reviewers for the lively discussions reviewers found the work to be interesting but some concerns were raised regarding the significance of the results in particular two reviewers mentioned that authors did not fully address their concerns in the rebuttal period given all i think the paper still... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new problem called federated inference and proposed a framework of solutions including local representation alignment and learning a consensus graph the technical contribution mainly... | the paper proposes to compute local representations on device which are then shared between clients using an alignment mechanism reviewers did appreciate the value of the topic and several contributions but unfortunately consensus is that it remains below the bar even after the discussion phase concerns remained on pri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the papers goal is to understand the phenomenon of linear transferability of contrastively learnt representations namely representations learnt via contrastive learning on a certain subpopulation which enab... | the manuscript provides theoretical analyses of why contrastive learning helps domain adaptation it developed new proof techniques advancing the current status of contrastive learning theory the manuscript then studied a version of the existing prototypical network approach by snell et al called preconditioned feature ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper demonstrates the feasibility of obtaining a closedloop control policy using reinforcement learning for additive manufacturing also known as 3d printing the paper proposes a simtoreal approach tha... | all reviewers agreed that the paper contains interesting experiments however as this paper is a systems paper without much algorithmic contributions all reviewers felt that the paper felt short in terms of describing the results has too many unsupported claims and it is unclear how the presented results transfer to sli... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an interesting direction toward generalization in reinforcement learning the authors propose a policy similarity metric psm for measuring behavioral similarity between states states are ... | the paper describes a new technique to generalize across different environments more precisely a new state similarity metric is defined with a contrastive learning embedding technique unlike previous works that extend supervised learning techniques such as data augmentation and regularization to rl the proposed appro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a batch normalization framework that is suitable for problems of unsupervised domain adaptation uda between symmetric positive definite spd manifolds their framework the spd domainspecifi... | the reviewers have now unanimously acknowledged the quality of the contribution both on the theory and experimental sides this paper can be endorsed for publication at neurips 2022 |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper mainly studied minimax optimization problem it proposes an algorithm mcn to find spp and also provides an algorithm for high dimensional problem numerical experiments are also conducted to valida... | this paper studies the minimax optimization problem with smooth objective function where the objective function fxy is assumed to be strongly concave in y but in general nonconvex in x in comparison to prior nonasymptotic results that mostly focused on finding firstorder stationary points this paper takes an important... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new dataset of 31400hour conversational english recordings the main advantages are the thorough ethical discussion and the proper license for academic and commercial usage under ccbysa... | this paper presents a dataset of31400hour conversational english recodings one major concern is about the quality of the datasets labels however the authors have performed some further analysis to justify the quality of the dataset preliminarily im inclined to accept the paper authors can perform more quantitative anal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors tackle the problem of solving a capacitated vehicle routing problem cvrp when the cost of introducing an additional vehicle is introduced authors propose to use imitation learning with behavior clon... | this paper formulates and solves a capacitated vehicle routing problem cvrp in the presence of costs for deploying additional vehicles a mixture of supervised learning algorithms and or techniques is used in particular a mix of greedy decoding repairing of the solution and postprocessing with or tools is used to extrac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper examines the setting of partially observable stochastic games where agents have the possibility of communication the approach taken is what would be termed direct revelation in mechanism design ... | this paper exposes a modification of selfplay in a noncooperative setup where agents expose their internal states to each other and adds a truthfulness mechanism to ensure the agents do not hide information to each other the reviewers generally agree that the ideas presented in particular the imaginary rewards is inte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the paper the paper introduced a new architecture and a new hierarchical reinforcement learning approach for the power grid control task in form of the power network challenge l2rpn the paper sta... | with reviewer scores of 7 7 9 7 and with only one lowconfidence score r5s score of 7 with confidence of 2 it is obvious that the paper should be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes combinational music generation a task for creating different background music based on given conditions the task creates music samples with musical metadata and combines them to produce c... | all six reviewers recommend acceptance reviewers found the large dataset of professional midi music and metadata to be a useful resource authors should attend to main points in the reviews when preparing a final version these issues include those raised by reviewer 2g3b around more clearly presenting the contributions ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose a new paradigm for unconditional image synthesis with semantic layouts as the bottleneck the presented approach is straightforward we can first sample a semantic layout fro... | the paper receives a mixed rating with r3 rates the paper above the bar r1 and r2 rates marginally above the bar and r4 recommends rejection the cited positive points include 1 decomposing image generation into first synthesizing segmentation masks and then converting segmentation masks to images and 2 good results com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this works aims at investigating whether large language models lms pretrained only on texts can implicitly learn grounded concepts of the world beyond texts specifically the authors test whether the lms can... | the authors explore the hypothesis of whether grounded representations can be leaved from text only they show that a language model trained with relatively little data can make conceptual domains such as color to a grounded world representation such as rgb coordinates the paper was positively received by the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers a minmax optimization of general nonconvex functions the paper proposes methods to approximately find stationary points by smoothing the max part experimental results show the superiorit... | the paper addresses the problem of nonconvex nonconcave minmax optimization under the perspective of application of smoothed algorithms between two opponents the paper examines a model where the maxplayer applied a zeromemory smooth from differential perspective algorithm and minplayer sgdsnag or proximal methods provi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors show that their methods achieves superior performance compared to the baseline method isolation forests while training on only a fraction of the data thus their method reduces training time th... | while not entirely novel as one of the reviewers indicates the paper provides a nice solution to image dataset cleaning based on siamese nets and contrastive loss with good results i recommend acceptance but would ask the authors to revise their work based on reviewers comments limitations should be stated clearly |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a dualpath cnn architecture with complementary roles finenet and coarsenet which is inspired by parvocellular and magnocellular pathways in the primate brain the coarsenet receives blurr... | this paper explores a network that has a parvo fine detailed slow and magno lowres quick stream the ideas are interesting and the results intriguing and one reviewer is in favor of acceptance several reviewers criticized the clarity of the paper and the lack of details for explanations of and critical evaluation of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes groupsupervised learning gsl that can learn disentangled representations by swapping components in latent space and enable oneshot novel view synthesis they created large datase... | this paper presents a zeroshot generation approach by disentangling representations into swappable components each component corresponding to an attribute and then conditioning on any desired combination of attributes to do zeroshot synthesis of samples containing those attributes there were some concerns raised in th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
main idea the paper developed a practical secondorder preconditioned method which is based on the shampoo algorithm to improve the wallclock time compared with stateoftheart firstorder methods for training ... | dear authors i like to topic of your paper very much indeed your work is trying to show that 2nd order methods can be efficiently implemented in a distributed environment and can achieve improvement in training times however having worked on distributed computing for many years i personally think that reporting runni... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new reinforcement learning approach to training generative neural models of text the papers core motivation is that optimizing text generation model with the crossentropy hpdata pmode... | the paper is wellwritten it is clear and concise the idea of learning to generate text from offpolicy demonstrations is interesting the results experimental results are good the authors seem to address the concerns raised by the authors during the rebuttal |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper makes a contribution to speeding up bayesian quadrature bq a popular method for computing the posterior and evidence the proposed method builds on the weighted kernel quadrature method of hayakaw... | the initial round of reviews for the submitted manuscript was mostly positive in tone but this enthusiasm was tempered by a number of deep technical issues raised by the reviewers fortunately the author rebuttal and authorreviewer discussion phases went a long way toward clearing up some initial confusion and clarifyin... |
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 novel method to solve dynamical systems through data instead of formulating the system lagrangians or hamiltonians the method leverages the symmetry and conservation law... | 2 of the 3 reviewers highly appreciated the rebuttal and are now recommending the paper for acceptance without any reservations the 3rd most critical reviewer fmuk did unfortunately not react the new experiments learning from pixels nicely addresses the reviewers concern about having to carefully choose the system stat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper theoretically analyzes selftraining in neural networks with one hidden layer selftraining is a popular semisupervised learning algorithm where a model uses large unlabeled data by training on pseu... | the paper studies selftraining for a one hiddenlayer architecture showing that with proper initialization selftraining will improve over standard supervision the reviewers appreciated the analysis and thought the results make sense however they did comment that the paper does not provide sufficient insight about the ef... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proved that the generalization error of linear graph embedding methods is bounded by the norm of embedding vectors rather than the dimensionality constraints interestingly along wi... | this paper provides a generalization analysis for graph embedding methods concluding with the observation that the norm of the embedding vectors provides an effective regularization more so than dimensionality alone the main theoretical result is backed up by several experiments while the result appears to be correct ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a new approach to model aggregation at each round performed on the server using a combination of bayesian ensembling model distillation and stochastic weight averaging the propo... | this is a well written paper with good experimentation the paper builds on the work of feddf and does ablation studies to demonstrate its improvements the key original idea is the use of a common pool of unlabeled data which is used in transmitting partial results between local and global servers the results seem pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a waveletbased approach for deepfake image detection this approach is the first using wavelet for the task and could be of great contribution to the community mixing spatial and frequenc... | this paper received 5 quality reviewers where 3 of them rated 5 and 2 rated 3 while this work has merits many concerns are raised by various reviewers the ac agrees with the reviewers that this paper is not ready for publication at its current form |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros formal approach to the problem and a clear understanding of what is missing section 66 i appreciated section 3 at large in particular i like theorem 1 and corollary 1 is it is possible to reason a... | the paper introduces a w2gan method for training gan by minimizing 2wasserstein distance using by computing an optimal transport ot map between distributions however the difference of previous works is not significant or clearly clarified as pointed out some of the reviewers the advantage of w2gan over standard wgan ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies dynamic regret minimization for goaloriented reinforcement learning modeled by a nonstationary stochastic shortest path problem with changing cost and transition functions they propose se... | this paper studies dynamic regret minimization for goaloriented reinforcement learning modeled by a nonstationary stochastic shortest path problem with changing cost and transition functions this paper proposes several algorithms with nearly matching upper bounds and lower bounds when deltac and deltap are known and a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper seeks to find how to train with augmentation to train robust and invariant models for this purpose they evaluate if models trained with augmentation are generalizable and their associ... | the reviewers brought up many important concerns about this paper on the positive side the understanding of data augmentation is an important topic in deep learning having good theoretical results is interesting here and the experiments seem to do an okay job of backing up the theory on the negative side presentationa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper 1 proposes a new notion of taskrelatedness for metalearning termed almost pirelatedness that assumes isomorphisms between two tasks in the environment a pacstyle generalization bound of mathcalosq... | this paper provides generalization bounds for metalearning based on a notion of taskrelatedness the result is natural and interestingintuitively when tasks are similar then metalearning algorithms should be able to utilize all data points across all tasks the theoretical contribution is novel and the results also provi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i agree with reviewer 2 on the interesting part of the paper the idea of removing or adding units is definitely an interesting direction that will make a model grow or shrink along the lines required by the... | the paper presents a clean framework for optimizing for the network size during the training cycle while the complexity of each iteration is increased they argue that overall the cost is significantly reduced since we do not need to train networks of varying sizes and crossvalidate across them the reviewers recommend a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the main idea of this paper is to improve the training of gcns by smartly selecting subgraphs to train on in order to reduce memory consumption when running on large graph datasets the proposed mo... | this paper presents an approach for training gcns by learning to select subgraphs to train on to improve efficiency when transferring the model to larger graphs in the proposed method a metamodel and a lightweight gcn are trained iteratively in turns results are presented on mediumtolarge graph datasets such as reddit ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of weaklysupervised temporal action localization it proposes a marginalized average attention network maan to suppress the effect of overestimating salient regions theoreti... | the paper proposes a new attentional pooling mechanism that potentially addresses the issues of simple attentionbased weighted averaging where discriminative partsframes might get disportionately high attentions a nice contribution of the paper is to propose an alternative mechanism with theoretical proofs and it also ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a method for identifying linguistic components concepts to which individual units of convolutional networks are sensitive by selecting the sentences that most activate the given unit an... | important problem making nn more transparent reasonable approach for identifying which linguistic concepts different neurons are sensitive to rigorous experiments paper was reviewed by three experts initially there were some concerns but after the author response and reviewer discussion all three unanimously recommend ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper targets modeling high dimensional datafeatures with continuous signals state space models ssms and proposes s4nd based on s4 the proposed model is able to work with different dimensional data in... | the paper develops a multidimensional model s4nd with continuous modeling properties which outperforms stateoftheart models on largescale benchmarks all four reviewers reach an agreement and vote for accepting the paper also the rebuttal and the discussion have successfully addressed all the major concerns raised by th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the benefit of joint representation learning in the presence of multiple reinforcement learning tasks the authors introduce an algorithm called refuel that in the presence of t tasks with... | the reviewers are largely in consensus that the questions posed in the paper are extremely relevant today and while somewhat unsurprising the paper provides solid value by establishing provable benefit including algorithms with novel components and numerous analysis tools that look attractive for reuse by future resear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on proposing the local calibration error lce to span the gap between average and individual reliability which measures the average reliability of a set of similar predictions proposing a ... | the reviewers all generally find the paper both wellmotivated in addressing an important challenge as well as wellwritten however theres quite a bit of hesitation around whether the proposed metric is convincing enough as an approach to measure local calibration reviewer 76ps and 784ds concerns around the choice of fe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies distributions that can be used as additive noise mechanisms which tightlyexactly satisfy fdifferential privacy but also enjoy nice properties such as being logconcave or multivariate such... | this paper provides conditions for the existence of logconcave multivariate distributions to satisfy fdifferential privacy constraints the results of the paper have the potential to be broadly applicable |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes mixture bootstrapped dqn mbdqn the new algorithm modifies bootstrapped dqn by giving different backup lengths to each head it shows better performance in several atari environme... | this paper extends bootstrap dqn with multistep td target the initial submission had missing details communication problems and results lacking rigor the authors made a clear effort to address the reviewers concerns this papers contribution is supported primarily by the empirical results which need major work the lack... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a network architecture spatial dependency network sdn that attempts to more explicitly model spatial dependencies as compared with convolutional networks the network involves thr... | this work proposes a novel network structure spatial dependency networks that is introduced as an alternative to convolutional neural networks this new architecture is used successfully to get state of the art performance for a number of common image generation benchmarks when compared with nonautoregressive approach e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focusses on how to extract good policies from experts in imitation learning scenarios the paper proposes a series of trick for policy extraction from crossentropymethodbased cemicem trajectory opt... | this paper proposes a method to solve highdimensional continuous robotic tasks offering a trajectory optimization and a distill policy the paper is wellwritten and the work is promising it is very relevant for the robotics and rl communities |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article tackles the analysis of irregular samples time series the approach is mainly based on interpolation thus the authors can del with both supervised and unsupervised problems the architecture is m... | the work proposed a new approach to encode time series that are irregularly sampled and multivariate using time attention module and an encoderdecoder framework based on vae all the reviewers find the approach novel and the experiments extensive with encouraging results please continue to improve the presentation of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a unified framework for domain alignment through nonadversarial approaches instead of solving a minmax adversarial problem this paper aims to solve a minmin optimization equivalent to min... | this paper offers flowbased alignment methods for alignment of distributions in a domain adaptation setting while there are many positive aspects of the submission the experimental results only weakly support the results the ac agrees with the critical comments mentioned by reviewer sz2c and in particular observes th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is clearly written and identifies an important point that exploration is dangerous in the autonomous driving domain my key objection to this paper is that even though the method is intended to de... | the authors consider the interesting and important problem of how to train a robust driving policy without allowing unsafe exploration an important challenge for realworld training scenarios they suggest that both good and intentionally bad human demonstrations could be used with the intuition being that humans can rea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies to predict future state density function by using an indirectly method via classification the main idea is to sample the future state from two sources 1 from replay buffer 2 the a... | overview this paper provides a new clusteringbased method to predict future probability density of a policy it provides comparable performance to prior qlearningbased methods but without careful hyperparameter tuning pro the method of using clustering to estimate future density is novel both theory and experiments app... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this manuscript the authors propose two novel methods using fully connected neural network layers for graph pooling namely neural pooling method 1 and 2 compared to existing graph pooling methods the aut... | all four knowledgeable referees have indicated reject due to many concerns in particular reviewers pointed out that the novelty of this paper is not clear because the difference from related work is very limited ie the difference from z wang and s ji is not clear other than using one additional layer and they were con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the importance of finding minimum description rnns is definitely unquestionable for several reasons thus the authors address an important problem they decide to use ga in order to find such a representation... | rather than using backprop to train rnns this paper explores instead using gas to train them along with an extra minimal description length objective to search in the space of the simplest possible networks that can perform the task at hand they demonstrate that the method can indeed find minimal rnns that when trained... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work investigates the effectiveness of a spatiallystable layout for finding items within a large item set 700 the authors conduct a withinsubject study n20 to compare paged and spatial layout performan... | all reviewers agree that the paper presents some interesting findings although they are somewhat limited in scope they all find that the experimental methodology is sound and that the paper is well written the reviewers agree that the paper in its current state is too long and there are a number of sections that can b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new model for unsupervised video decomposition based on the multiobject scene representation of iodine basically it makes use of 2dlstms to provide the iodine framework with a better a... | the reviewers appreciate the spatiotemporal formulation of amortised iterative inference however the paper does not clearly state what is the end goal if the end goal is video object segmentation it should compared against other unsupervised object segmentation methods if the goal is representation learning it should e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this demo paper describes a kg generation and usage pipeline for the housing market it is unclear what the demo during the workshop will contain the highlevel architecture and system is described however no... | dear authors your work presents an interesting use case of knowledge graphs and is a valuable contribution to our community here are some improvements possible to the paper it would nice if they are included in the cameraready version of the paper httpsgithubcomzepeizhaoaptrentingplatformknowledgegraph seems to be ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
thanks for the rebuttal but i am still not very convinced with the proposed results for cifar100 0 you get about 02 gain for imagenet 0 you get about 02 loss in top5 accuracy and for webvision you get about... | the paper aims to clean data samples with label noise in the training procedure the reviewers and ac note the following potential weaknesses 1 the assumption of uniform noise which is not the case in practice 2 marginal gains under realworld datasets and 3 highly empirical and adhoc approach ac thinks the proposed m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
by assuming a beta distribution on the softmax probabilities of a bayesian classification network the authors derive the marginalized joint entropy of a datapoint x and use it in a new acquisition function ... | the majority of reviewers found this paper to be confusing in its presentation lacking novelty eg section 3 and not well motivated eg balentacq with 3 out of 4 recommending rejection i find that the paper particularly falters in its explanation of the point process entropy and derivation of the ultimate acquisition fu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper puts forth methodology for efficiently computing the worstcase deviation between two fitted models one is a candidate model the other is a reference model over some feasible region mathca... | this paper proposes a metric for the safety and interpretability of supervised learning models based on the maximum deviation from interpretable whitebox models the safety and interpretability of blackbox models is an important topic and many reviewers agree that the approach proposed by the authors is interesting howe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a method that generalizes complex and quaternion networks the proposed method can work with vectors of any dimension the benchmarks are conducted on cifar10 cifar100 and satelli... | while the updated version of this manuscript did motivate one reviewer to give the paper a marginal accept rating all other reviewers really felt that the paper could use more work along the lines of their suggestions the aggregate view of the reviewers is just not positive enough at this time to warrant an accept reco... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors have constructed new error bounds for approximating functions in sobolev and holder space using deep cnns while such bounds have been constructed before the authors show that there... | this paper provides an approximation error for sobolev type functions by using deep cnns the approximation error achieves the optimal rate and has adaptivity to the low dimensionality of the support of the input data distribution they also derive a classification error bound using the approximation error result this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on an interesting and important problem in machine learning for a given set of data around a lowdimensional manifold embedded in a highdimensional rd how can we estimate the intrinsic dim... | this paper discusses the use of normalizing flows for estimating the intrinsic dimensionality of the data submanifold embedded in highdimensional ambient space the idea of using nfs to estimate the intrinsic dimensionality via analyzing the eigenvalues of the jacobian matrices is novel the method is technically sound a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a number of novel interesting theoretical results on vanilla gaussian variational autoencoders vaes sections 1 2 and 3 which are then used to build a new algorithm called 2 stage vaes sec... | the reviewers acknowledge the value of the careful analysis of gaussian encoderdecoder vae presented in the paper the proposed algorithm shows impressive fid scores that are comparable to those obtained by state of the art gans the paper will be a valuable addition to the iclr program |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces ndmz short for nondeterministic muzero a deep reinforcement learning algorithm for modelbased rl that doesnt use the rules of the game to perform search the papers contribution is most... | there is a pretty good consensus that this paper should not be accepted at iclr the reviewers do not seem think that extending muzero to nondeterministic muzero constitutes a significant advance three reviewers give clear rejects with scores 3 4 5 all with good confidence 4 a fourth reviewer gave a score of 6 ie bord... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper uses selective training with pseudo labels specifically the method selects the pseudolabeled data associated with small loss after performing the data augmentation and then uses the selected da... | the paper proposes an approach that generates pseudolabels along with confidence to help semisupervised learning then selected pseudolabels are used to update the model moreover the authors include a variation of mixup for data augmentation to train a more calibrated model experimental results justify the validity of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a new algorithm for retrosynthesis prediction based on a new gnn architecture and semi templates is presented which yields state of the art results on some benchmark tasks strengths good results reasonabl... | this paper proposes a new semiretro algorithm by combining the two major approaches of retrysynthesis the template based method and the template free method breaking a fulltemplate into several semitemplates and embedding them into the twostep templatefree framework they also obtained state of the art performance in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper approaches long horizon planning by learning a sparse graphical representation the proposed algorithm l3p proceeds by learning a latent space which enforces a distance measure where this distance... | this paper proposes a modelbased rl algorithm which instead of simply fitting a parameterized transition model and uses rollout for planning learns latent landmarks via distancebased clustering and conducts planning on the learned graph although some of these ideas themselves have appeared in literatures the overall ap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper intends to tackle the problem of outofdistribution generalization through conditional computation the proposed framework combines conditional computation exploiting extra information available abo... | the paper proposes to address the outofdistribution generalization problem by means of conditional computation in form of a feature modulating module while the approach is interesting and brings a new take on how to perform feature modulation although initially felt too similar to conditional batch normalization some m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper takes a logicbased approach to an important problem namely that of personalizing explanations to their recipient in terms of the level of abstraction of the provided explanation the work joins a ... | the reviewer notes that the paper looks at a relatively understudied problem within xaip and presents a reasonable solution to the method in terms of the next step the reviewer notes the possibility of looking at cases where an entire action may be missing and also points out a few ways the clarity of the writing could... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea of learning prior to distribution on convolution kernels is methodologically sound and appealing this new way of transfer learning could potentially be more effective than finetuning and l2 regular... | all the reviewers recommended acceptance of this work i agree with them in that it is an interesting work and should be accepted as a short paper in midl 2020 the reviewers have raised a few points that would be interesting discussing in the final camera ready version please when submitting the final manuscript try to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper a test suite of data sets and corresponding benchmarks for offline reinforcement learning is introduced several existing rl benchmarks are used the results of several algorithms are pr... | this paper proposes benchmark tasks for offline reinforcement learning the paper has major strength and weakness and it has resulted in very active discussion among reviewers authors and other participants the major strength includes the following the proposed benchmark is already heavily used in the community offl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper under review studies the universal approximation theory with constraints for any convex or nonconvex compact set a universal approximation is proved through a probabilistic transformer with const... | the paper studies an interesting question of whether neural networks can approximate the target function while keep the output in the constraint set the constraint set is quite natural for eg multiclass classification where the output has to stay on on the probability manifold the challenge here is that traditional un... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors adapt the taylorgalerkin finiteelement method which requires a global hyperparameter gamma to a local one using a graph neural network they test their method on 1d simulations and their method i... | reviewers generally considered this a very strong submission one reviewer raised a few important concerns about notation methodology and impact in particular all reviewers were curious about the extension of this work to higher dimensions authors may wish to address these points before the workshop to maximize the impa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper considers the generalization bound for stochastic gradient descent the authors leverage normalized loss function to analyze the stability of sgd algorithms which further yields the gener... | the paper considers generalization analysis of sgd using stability analysis the authors argued the use of normalized version of the loss function and anglewise stability however the reviewers pointed out that both motivation and novelty of the current work are not strong enough for it to be accepted by iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a samplingbased method that aims at accelerating batch normalization bn during training of a neural network quality the writing of the paper needs more polishing i saw grammatical er... | this paper proposes a faster approximation to batch norm which avoids summing over the entire batch by subsampling either random examples or random image locations it analyzes some of the tradeoffs of computation time vs statistical efficiency of gradient estimation and proposes schemes for decorrelating the samples to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper authors propose a set of control experiments in order to get a better understanding of different deep learning heuristics stochastic gradient with restart sgdr warmup and distillation author... | the presented method uses mode connectivity to help illustrate the surfaces of parameter space between various selections of models either through changes of parameters learning methods or epochs and canonical correlation analysis cca to visualize the similarity of model layers across two different selected models the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies an online allocation setting where arriving items are allocated among n agents who are promised a prespecified fraction of the items the goal of the planner is to maximize the agents total... | executive summary the authors study the repeated allocation of an identical good over t rounds to n strategic buyers in a no monetary transfers setting the buyers have iid valuations drawn from an unknown distribution and the algorithm must work with reported valuations the goal is to maximize social welfare sum of v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes recurrent parameter generator rpg that is able to generate ideally arbitrarily large model based on a fixed set of inputs mathbfw unlike common pruning or compressing techniques the autho... | meta review for recurrent parameter generators this work investigates a method for reducing the parameters of a deep cnn by having a recurrent parameter generator rpg produce the weights in effect achieving this compression via parameter sharing across layers similar to earlier works such as the 2016 hypernetworks pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this manuscript the authors introduce a method for supervised learning in an outofdistribution ood setting in particular the authors consider the case where labelled data pairs x y pex y are ... | this work introduces a method for supervised learning that takes a datagenerating process into account while the paper proposes an interesting approach to learning a causally invariant model the reviewers had several concerns about the proposed method i thank the authors for having the paper revised addressing the revi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a relaxed version of the gromovwasserstein gw distance between two probability distributions on graph structured data the main idea of new divergence is to relax the target distribution v... | this paper takes advantage of a well known fact in the ot literature that relaxing either of the marginals of ot problems results in nearest neighbor assignments as eg in kmeans or softassignments when using an entropic regularizer the authors take advantage of this simple property used eg in the first iterations of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an importance sampling method for the estimation of probabilities in sde models applicable to sdes with stateindependent or transformable to stateindependent diffusion by taking the advan... | this paper proposes an importancesampling estimator for probabilities of observations of sdes the proposed approach has several advantages over conventional methods it does not require an sde solver it has lower gradient variance and shows nice results with a gaussian process representation of the function reviewers we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes efficient algorithms for matrix glm bandit with regret and runtime guarantees additive in the matrix dimensions a significant improvement from previous work on lowrank bandits with linea... | this paper proposes computationally efficient algorithms for lowrank generalized linear bandit with regret and runtime guarantees that improves over state of the art results all reviewers think that the technical contributions of this paper is solid especially the insight that one can directly apply steins method for a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed 1 to use a graph neural net to predict the performance of network architectures 2 to query new architecture proposals to try next from the predictor and 3 to iteratively refine the predic... | this work was deemed interesting by the reviewers but they highlighted the following weaknesses in this version of the paper lack of comparison to other methods lack of novelty compared to previous work fundamental problem with training only on one dataset mnist issue with possible overfitting |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper conducts a systematic and thorough analysis of a longcriticized problem of current knowledge base completion kbc research its evaluation setup it discovers several major issues of the popular ra... | this paper points issues with evaluation of knowledge base completion proposes triple classification as an evaluation method and introduces a new dataset to help with this in this sense the paper is essentially an analysis paper that focuses on the evaluation aspects of the problem all the reviewers appreciate the ana... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work addresses the task of developing an efficient algorithm for phiregret minimization in extensiveform games efgs as a first step toward this goal the authors consider the problem of regret minimizat... | all reviews are strongly positive for this paper the reviewers appreciate the many interesting contributions made by this paper for my own part i concur with the reviewers this is a very nice paper with several interesting results that deepen our understanding of several aspects of efgs |
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