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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the knowledge distillation problem by formulating it as a transfer learning problem it finds that even if the teacher is trained with balanced training data the transferred informati... | this paper analyzes the way in which most previous knowledge distillation methods violate iid assumptions and it aims to address the drop in performance on student models through this analysis the paper proposes an inverse probability weighting distillation ipwd technique derived in part through a causal analysis of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new framework for unsupervised domain adaptation by applying the disentangled representations learning dicyr the core idea of dicyr is to split the raw feature into the taskrelated one... | this paper investigates the problem of unsupervised domain adaptation and proposes a framework based on a specific type of disentangled representations learning the paper is well written and the proposed method seems plausible however according to reviewers 3 and 4 the proposed framework does not seems to be sufficient... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper applies modern deep nlp methods especially transformers to information extraction from biomedical texts specifically those dealing with cancer genomics the task is to extract two pieces of infor... | the paper addresses the novel task of information extraction from cancer genomics the reviewers have applauded the important and meaningful application area and the comprehensive experimental design that beats state of the art the approaches are straightforward combination of existing methods there are also some clarit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
surrealgan aims to create fake pathological data with a latent variable and a healthy input and includes an inverse function that predicts the latent variable from a fakereal pathological data however unlik... | the authors present a gan for learning a continuous representation of diseaserelated image patterns from regional volume information generated from structural mri images the reviewers find the problem relevant and appreciate the proposed solution they find the paper wellwritten and find the empirical results on alzheim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper performs an empirical analysis of the heavytailedness of the ppo gradients across mujoco environments they find that ppo gradients are heavytailed which means that they are sensitive to o... | dear authors as you can see reviewers agree on the importance of the analysis present in the paper but two reviewers feel like it misses important comparisons that said ppo is a popular algorithm and i also welcome any attempt as improving our understanding of its dynamics with this paper information about ppo would ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a new method to solve the gnn calibration problem it identifies several factors that make the calibration different on gnns from general multiclass classification tasks based on the facto... | this paper studies the calibration problem for gnn node classification it identifies 5 factors contributing to miscalibration general underconfidence diversity of distribution distance to training relative confidence level and neighborhood similarity a temperature scaling method is proposed where each node is assigned ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript demonstrates a modality gap phenomenon for multimodal contrastive models like clip specifically the authors analyze why the gap exists and its importance a the modality gap is born at random... | this paper investigates the gap between representations when training with a contrastive objective through the characterisation of the gap in various settings and building a theoretical analysis of this gap the reviewers mostly agree that the paper tackles an interesting problem through investigation and characterisat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall this is a useful reproducibility report particularly with the usage of neighborhood data to ascertain the various fairness contributions made by the original paper however the report can significant... | a good reproducibility study with a detailed analysis of the original paper the authors effort in writing the code from scratch in pytorch is commendable it would be great to work on some presentation issues that reviewers suggested |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes ilqrvae a novel method that allows to simultaneously learn latent dynamics and infer unobserved control inputs the method relies on iqlr solver and recent advances allowing for implicit ... | the paper introduces a novel controlbased variational inference approach that learns latent dynamics in an inputdriven statespace model an optimal control solution ilqr is implicitly used as the recognition model which is fast and compact reviewers unanimously agree on the high quality writing and high significance of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors analyze the underestimation issue of stein variational gradient descent svgd and propose the maximum mean discrepancy mmd descent from the perspective of the decomposition of the g... | this paper proposes new analysis on variance collapse of svgd in high dimensions the analysis provides some new insights despite of some limitations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes oversquashing in gnn using geometric methods the paper proposes a novel rewiring method based on negative curvature to construct graphs that are less susceptible to oversquashing though ... | the paper proposes a new technique to handle oversquashing in gnns by introducing a novel rewiring technique the reviewers are quite positive about the paper and the rebuttal phase greatly helped clarify the method and its impact |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new objective function for generative flow networks gflownet which aims to generate objects with probability proportional to a given energy function the proposed objective function is ... | the paper presents a new method for credit assignment in training gflownets based on trajectory balance equations all reviewers were in agreement the method offered theoretical guarantees as well as strong empirical results and offers promise in terms of developing the growing field of generative flow networks |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a mlr based on hyperbolic geometry the idea is based on wellknown concept of horocycle and horospheres which are known to be hyperbolic counterpart of line and plane in euclidean geometr... | reviewers generally appreciate the contributions of the paper namely the horocycle neuron poisson neuron and the universal approximation properties however there are concerns especially by r4 and r5 that the presentation is confusing lacks clarity and should be substantially improved note theorem 17 in helgason 1970 i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a fewshot learning approach that takes into account the semantic relatedness of the ground truth labels rather than just using them as binary labels in the fewshot learning setting the ... | this paper proposes a fewshot learning method that learns taskadaptive semantic features that can incorporate for both of the support and query sets two approaches for modality combination are developed the additional experiments in the author response addressed some concerns of the reviewers however the technical nove... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting problem good proposed solution good empirical evaluation well written paced and formulated paper see main review introduction an example which i like to use is comparing a sample of red ... | meta review this paper considers causal direction identification and structure learning with ordinal data they formulate a probabilistic model of one ordinal variable conditional on another generalizing eg probit and inverse logit regressions and show that typically wrt lebesgue measure data consistent with the xy dire... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study how well they can recover causal structure in inferred latent variables given sparsity in perturbations roughly speaking assuming a generative process x gz the authors study the effects o... | this submission theoretically analyzes when it is possible to identify a latent representation up to various classes of symmetries under the assumption that one has access to observations corresponding to sparse changes to the latent variables this is primarily a theoretical paper with a small amount of empirical valid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission proposes a new task augmentation method proposed approach trains a task proposal network that the output task distribution is matched with true task distribution and challenging for current... | this paper proposes a task augmentation method for metalearning that generates new tasks which match the true task distribution and are also challenging for the current metalearner this is done by training a task upsampling network with an adversarial loss as well as an emd loss between the adversarially generated and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after rebuttal score lowered from 7 to 6 concerns addressed i appreciate the effort the reviewers put into revising the paper to include the settings i suggested i am generally pleased with the revisio... | the paper proposes a layerwise magnitudebased tuning method through the adoption of lamp score motivated by minimizing the model output distortion the new importance score differs from vanilla magnitudebased score in that it incorporate more layerwise information extensive experiments are conducted on image and languag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a sketching algorithm for the distinct elements problem maps a stream of elements from some universe into a small space data structure the sketch such that an approximation to the number of distinct element... | differentially privacy is often an important design constraint in algorithms and previous work has studied the question of designing streaming algorithms that satisfy dp in addition to other typical streaming algorithm desiderata small space small update time for the problem of cardinality estimation previous work has ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed an adversarial attack strategy for the code2seq model the authors observed that l2 distance between pre and posttraining embedding of a token varies significantly based on the tokens freq... | the paper gives a gradientfree method for generating adversarial examples for the code2seq model of source code while the reviewers found the highlevel objectives interesting the experimental evaluation leaves quite a bit to be desired please see the reviews for more details as a result the paper cannot be accepted in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe authors explore the role of the temperature in the loss function for graph contrastive learning they argue that global uniformity and local separation are both necessary to the learning quality an... | the paper investigates the effect of temperature in the loss function for graph contrastive learning and proposes a novel method to dynamically adjust it during learning glate the paper is concerned with an interesting problem is timely and relevant for the iclr community after author response reviewers did not come ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting approach to normalizing the signals in a deep network both in the forward pass and in the backward pass with the goal of preventing vanishing and exploding gradients for b... | three knowledgeable referees rate this paper ok but not good enough or borderline positive 446 and one fairly confident referee rates it borderline positive 6 the referees discussed the authors responses and while they considered the idea and some of the theory good they remain concerned in particular about the experim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an indepth analysis of toptwo style algorithms for the pureexploration multiarmed bandit problem under bounded distributions the authors consider a variety of methods to choose the leade... | this paper analyzes several toptwo style algorithms for the pureexploration multiarmed bandit problem under bounded distributions the reviewers agreed that the theoretical contribution of this paper is solid some concern was raised on the algorithmic and empirical contributions of this paper in particular it was ment... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the goal of this paper is to evaluate methods for detecting outofdistribution samples in a more comprehensive fashion than prior work to this end it distinguishes between three different cases of o... | this paper proposes an ood evaluation framework under three categories irrelevant input detection novel class detection and domain shift detection as with several reviewers the ac recognizes the importance and effort to distinguish between different cases of ood detection as well as the amount of experimental compariso... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a novel parallelism strategy for training large neural networks compute devices are grouped into swarms pipeline parallelism is applied within each swarm and pipeline parallelism is appl... | overall the reviewers thought this paper suggested an important problem however there were many concens particularly the multiple reviewers felt it was unclear when the new approach is better than prior work the reviewers had difficulty connecting the experiments to the papers main claims |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to compute a derivative of stochastic programs which have discrete dependencies on their parameters the paper introduces stochastic triples generalizing dual numbers to programs... | the topic of this paper is interesting and i wanted to get the basic idea so i looked at the paper myself had i been a reviewer i would have recommended rejection however as the existing reviews are positive and the authors will not have a chance to respond to my objections i will recommend acceptance in spite of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a pmf variant that replaces the freeform representation for latent factors from explicit mapping from inputs to improve interpretability a reasonable probabilistic formulation wit... | the authors present a hierarchical factorization of the poisson matrix and explain why sparcity in the encoder is important for interpretability the reviewers appreciated the contribution of the paper and highlighted the advantage of such an approach for users the authors have improved their initial version by adding m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents different ways of creating ensembles from pretrained models specifically authors first utilize nearestneighbor accuracy to to rank pretrained models then finetune the best ones w... | all reviewers recommend that the paper be rejected the reviewers appreciate the line of research and is worthwhile but find that the paper lacks in technical novelty and insight the ac is in consensus with their reviews due to the concerns raised regarding novelty and insight and recommends rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends an existing incremental learning method mainly introducing the latent representations of an autoencoder instead of the original images it includes a lot of hype in that it simulates the hu... | 1 describe the strengths of the paper as pointed out by the reviewers and based on your expert opinion the paper tackles an interesting and relevant problem for iclr incremental classifier learning applied to image data streams 2 describe the weaknesses of the paper as pointed out by the reviewers and based on your... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about a multiview framework for learning sentence representations two objective functions a generative one and a discriminative one are proposed that make use of two encoders one of them is ba... | this paper offers a new method for sentence representation learning fitting loosely into the multiview learning framework with fairly strong results the paper is clearly borderline with one reviewer arguing for acceptance and another arguing for rejection while it is a tough decision i have to argue for rejection in th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the recently discovered neural collapse nc phenomenon for deep neural network training using cross entropy ce loss it theoretically analyzes the problem with a socalled unconstrained layer... | this paper follows the recent line of work of theoretically analyzing the neural collapse phenomenon by making certain simplifying assumptions on the problem setup in this case the authors use crossentropy loss on an unconstrained model where secondtolast representations become free variables their main results charact... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new one vertex adversarial attack to evaluate the robustness on deep spatialtemporal graph neural network first it formally defines the adversarial attack into optimization problem and ... | this paper proposes one vertex attack for gnn applied to spatiotemporal forecasting the paper can be improved wrt novelty incorporating graph topology and rigorous analysis |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the goal of the paper is to investigate how to efficiently adapt largescale pretrained visionlanguage models eg clip to downstream tasks their paper is based on the observation that while the vision communi... | this paper investigates several finetuning methods for adapting the pretrained visonlanguage model clip to different downstream tasks they found that layernorm ba et al 2016 is a rather effective and competitive approach and investigated different ways of combining layernormtuning with other adaptation methods reviewe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to align word vector spaces based on a dictionary of pairs eg translations that retains common geometric structure inner products within each vector space for a subset of wor... | this paper proposes a method for bilingual lexicon induction the proposed method is efficient it optimizes a reconstruction and transfer loss extensive experiments are reported and the methods provides improvements over prior work overall the paper brings together prior ideas in a useful way |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents innovative work towards learning numerical attributes in a kb which the authors claim to be the first of its kind the approach leverages kb embeddings to learn feature representations for... | the authors consider the problem of predicting or imputing numerical attributes in knowledge bases in contrast to simple local or global attribute prediction they design a regressionbased model that uses knowledge graph embeddings and extend the embedding computation to also use numerical attributes evaluation shows in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an analysis of camera placement for visionbased manipulators specifically it compares the performance of a disembodied third person camera vs place the camera on the robots handgripper ... | all reviewers consistently agree on the high quality of the research presented in this paper such that it the paper clearly is significantly above the acceptance threshold of iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims at solving a task called predictive querying which aims at producing the probability that probabilistic queries such as when will event a occur next or what is the probability of a occurring ... | the paper tackles an important question how to answer probabilistic queries about future steps such as when will event a occur next in the context of autoregressive neural models that are widely used in many applications nowadays while similar questions have been studied in stochastic processes it has not received much... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a framework to do graph based explanations compared to the existing explainers the proposed method is able to explain the predictive outcome for any downstream tasks without retraining t... | this paper proposed an extension to existing graph explanation approaches by introducing the taskagnostic concept that decouples the representation learning and task adaptation modules all reviewers agree that the paper is well motivated and has practical values during the rebuttal the authors have also addressed sever... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is proposing to use reinforcement learning as a method for implementing heuristics of a backtracking search algorithm or boolean logic while im not familiar with this specific topic section 2 is d... | the paper proposes the use of reinforcement learning to learn heuristics in backtracking search algorithm for quantified boolean formulas using a neural network to learn a suitable representation of literals and clauses to predict actions the writing and the description of the method and results are generally clear the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes generative approaches to localization without explicit high definition geometric maps a generative baseline gqn and an extension to that with attention is introduced in the context of lo... | the paper proposes a method that learns mapping implicitly by using a generative query network of eslami et al with an attention mechanism to learn to predict egomotion the empirical findings is that training for egomotion estimation alongside the generative task of view prediction helps over a discriminative baseline ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a setting for evaluation of a text infilling task where a system needs to fill in the blanks in a provided incomplete sentences the authors select sentences from three different sources y... | although the problem of text infilling itself is interesting all the reviewers were not certain about the extent of experiments and how they shed light on whether how and why the proposed approach is better than existing approaches |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the presented work introduces a new simulation environment and a set of tasks commonly performed in household environments it can be used to benchmark and develop robotic systems to perform such tasks the d... | summary this paper proposes a comprehensive simulation benchmark named behavior1k which covers 1000 everyday activities grounded in 50 scenes with more than 3000 objects annotated with physical and semantic properties the omnigibson simulator supports these activities via realistic physics simulation and rendering usi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors studied the optimization problem of loss functions where the loss function is not referred to as the error criterion but the empirical error term in empirical risk minimization the... | pros reviewers generally agreed the paper was well written and is easy to follow the goal of learning loss functions also seems quite promising cons there were concerns about whether credit for experimental performance was attributable to the core algorithmfunctional form presented in the paper there was also some ske... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a termination method for bo and shows that its works well for a variety of benchmark problems the proposed method provided a simple easy to implement yet effective criterion it can be ap... | this paper proposes a new automatic stopping criterion for bayesian optimization bo this methods holds for applications where crossvalidation is feasible it is a problem that is relevant and wellmotivated and the paper is wellpresented the referees had in the very first round of refereeing some questions on the ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper applies a feudal rl algorithm to solve textadventure type problems where information is available in text form about the environment a manager agent reads the text and generates a sequence of subg... | the reviewers all raise critical issues with regard to both description and equations and indicate that figures are not helpful this is even after the revision in response to kmx2 the authors suggested they will post additional experiments but did not return to indicate that this seems critical to answer empirical conc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces superl that intermingles offpolicy reinforcement learning with periodic beam search operations the method makes a greedy selection between the rlsolution that it had and the best produc... | this paper proposes a deep reinforcement learning algorithm superl that combines model free rl with genetic updates the idea is to periodically mutate and evaluate the actor and greedily choose the best performing child and incorporate it in the main actor via polyak averaging on a target policy network the algorithm c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for learning convolutional filters with trainable size that builds on top of multiplicative filter networks the learnable convolutions are called flexconv and a network that depl... | this submission proposes a method for learning convolutional filters with trainable size that builds on top of multiplicative filter networks antialiasing is achieved by parametrization with anisotropic gabor filters the reviewers were unanimous in their opinion that the paper is suitable for acceptance to iclr the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the papers proposes an interesting analysis that links several aspects of architectural design in deep nns to the spectral analysis and observed roughness different activations functions are considered in t... | the paper presents an analysis of the spectral impact of nonlinearities in a neural network using harmonic distortion analysis as a means to quantify the effect they have in the spectral domain linking a blueshift phenomenon to architectural choices this is an interesting analysis that could be strengthened by a more t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focus on the contextual multiarmed bandit with communication constraints it provides some discussions and numerical results major comments 1 most importantly there is no complete theoretical anal... | summary this paper studies a contextual bandit problem where the decisionmaker must communicate its intended actions given observations of the contexts to a controller through a constrained communication channel the original part of the paper is that the bandit algorithm must encode its actions into a compressed versio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is stuffed with mathematical theorems which makes it almost impossible for me to evaluate the contribution of the work without going through the proofs in the appendix making this paper more suite... | this paper studies the behavior of sgd for linear models fit with the squared euclidean loss there are three main results the first result sec 4 studies the behavior where instead of regularizing the objective gaussian noise is added to the inputs the main result is a sufficient condition for how the learning rate and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
dgi has shown successful performance as the graph contrastive learning method this paper points out the technical defect of dgi that is the sigmoid function in the loss makes the embedding uniform from that... | the paper presents a novel contrastive method of graph representation learning motivated by the observation that previous approaches to graph contrastive learning actually do group discrimination the proposed method learns graph representations such that the representations of the original graph and a corrupted version... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to construct rival preference in the ranker to evoke the adversarial training between the ranker and the generator leading to a better finegrained control over the interested attribute i... | all reviewers gave either borderline or negative scores unfortunately discussion was not lively so scores remained the same no reviewers voice strong support for acceptance but acknowledge several merits of the work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper deal with the problem of objections or object centric learning by using differentiable iterative refinement to improve the stability and tractability during training by that the method seems to i... | the paper proposes to treat objectcentric models with iterative refinement procedures as fixed point operations and optimize them using implicit differentiation overall the reviewers find that the contribution of the paper is somewhat novel although similar ideas have been presented in prior work in different contexts... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper builds a bert classifier for wordlevel polysemy of korean language adverbial positions such as ey eyes and ulo are involved in the investigation there are three findings during the experime... | this paper presents a study on identifying wordlevel polysemy in korean based on a languagespecific bert model it is always very good to see languagespecific studies especially in nonenglish scenarios however as the reviewers point out there could be significant improvements to the experimental design of the paper se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new method called feature flow regularization for structured sparsity and pruning in deep neural networks in the proposed method the length and curvature of trajectories connecting the ... | the submission proposes feature flow regularization during training to enforce approximately sparse network weights which can then be posthoc pruned the form of the regularizer is reasonably well motivated and the method seems interesting the reviewers were split on this with two recommendations for marginally above ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes local feature integration transformer lit a new architecture to extract midlevel local features from images that are used for image retrieval the resulting features are called superfeatur... | the paper proposes a model for largescale image retrieval unlike previous work that rely on local features the proposed method aggregates local features into the socalled superfeatures to improve their discriminability and expressiveness to do so the method proposes an iterative attention module local feature integraci... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper systematically presents a largescale empirical study on the disentangled representation learning when the underlying factors are possibly entangled from the results of purely unsupervised... | this submission considers the problem of learning disentangled representations from data in which there are correlations between underlying factors of variation fovs much of the work on learning disentangled representations has considered simulated datasets in which the fovs are conditionally independent the authors pe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a transformerbased image recognition model that is fully built on the transformer layers multihead selfattention pointwise mlp without any standard convolution layers basically it spl... | this paper has generated a lot of great discussion and it presents a very different way of doing image recognition at scale compared to current state of the art practices all reviewers rated this paper as an accept this work is interesting enough that in my view it really deservers further exposure and discussion and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the overall contribution makes sense consider solving a linear system ie learning an unknown matrix splitting it into two components like in nmf or mmf and learning each separately gives more control on the... | the paper introduces an interesting idea of using different rates of learning for low level vs high level computation for meta learning however the experiments lack the thoroughness needed to justify the basic intuition of the approach and design choices like which layers to learn fast or slow need to be further ablate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality and clarity the paper is wellwritten with good knowledge of the current state of the research in the subject area significance active learning is an important practical direction in machine learnin... | all reviewers express concerns such as about the presentation the situation of the paper wrt prior work the experimental evaluation etc and recommend rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a method for approximately solving unknown pomdps the method relies on constructing an mdp approximation and a set of policies that incrementally improve coverage of that mdps state spa... | this paper provides the first quasipolynomial time algorithm for learning a large class of pomdps part of the technics is based on a prior paper on developing quasipolynomial time algorithm for planning in pomdps which achieved a subset of the tasks in this paper given all prior algorithms for learning pomdps requires ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents an enhancement to the modelagnostic metalearning maml framework to integrate class dependency into the gradientbased metalearning procedure specifically the class dependency is en... | the reviewers think that incorporating class conditional dependencies into the metric space of a fewshot learner is a sufficiently good idea to merit acceptance the performance isnt necessarily better than the stateoftheart approaches like leo but it is nonetheless competitive one reviewer suggests incorporating a pret... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission aims to reduce the prevalence of samples for which a neural network might predict the wrong answer not just for the sample but also its nearby points in the input space authors call this met... | this paper presents the problem of robust inaccuracy model predictions being robust to perturbations but inaccurate on datapoints and present methods to maximize robustness while avoiding robust inaccuracy furthermore they develop an abstention mechanism based on robustness to prevent prediction on points where the mod... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present cnnsat a cnnbased approach to predict the satisfiability of sat instances the problem is very relevant and the approach is interesting but unfortunately the presentation is very misleadi... | the authors provide a convolutional neural network for predicting the satisfiability of sat instances the idea is interesting and the main novelty in the paper is the use of convolutions in the architecture and a procedure to predict a witness when the formula is satisfiable however there are concerns about the suitabi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to compress the deep learning model using both activation pruning and weight pruning combining both sparsities the macs are significantly reduced my main concern is that there is no ti... | this paper proposes to compress the deep learning model using both activation pruning and weight pruning the reviewers have a consensus on rejection due to lack of novelty |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the problem of improving spiking neural net training with better initialization they observe that error backpropagation efficiency in snns depends on availability of responding neurons an... | the paper derives a new parameter initialization for deep spiking neural networks to overcome the vanishing gradient problem during the review concerns were expressed about how well the method would scale to larger neural networks it was also questioned how this parameter initialization technique compares with a recen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors design an accelerated asynchronous block coordinate descent algorithm which for sufficiently small delays attains the iteration complexity of the current state of the art algorithm which is not ... | the reviewers all agreed that this paper makes a strong contribution to iclr by providing the first asynchronous analysis of a nesterovaccelerated coordinate descent method |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a framework to privatize sensitive attributes of data using adversarial representation learning the proposed method consists of a filter that removes the sensitive attribute from the da... | this paper proposes a heuristic for removing privacy sensitive attributes and replacing them with sythetically generated ones the technique is closely related to an existing work and as pointed out in the reviews the experimental evaluation is insufficient for properly evaluating the approach |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides interesting analysis and leveraging of gans model alignment ie transfer learning without custom architectures and losses it demonstrates impressive performance in a diverse set of tasks... | the paper provides an interesting analysis of aligned gan models the paper shows that when a model is obtained finetuned from another then the corresponding hidden semantic spaces are aligned the paper uses this property to show that without any additional architecture or training the models can perform diverse tasks s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a way to predict outcomes of patients using ehr records the authors propose a phenotyping model which clusters similar patients based on their outcome distribution they also introduce fea... | this paper has been independently assessed by four expert reviewers two of them recommend acceptance one straight one marginal and two rejection both marginal among the main limitations of the presented work found by the reviewers was the limited reproducibility of the results due to the use of private data the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents an rl approach to active learning that is generic across ml model being learned and across dataset being used the paper formulates the standard active learning problem as an mdp ... | this paper provides further insight into using rl for active learning particularly by formulating al as an mdp and then using rl methods for that mdp though the paper has a few insights it does not sufficiently place itself amongst the many other similar strategies using an mdp formulation i recommend better highlighti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for visualizing non euclidean spaces based on ray tracing using rtx it is sound and well engineered and the paper is well written and well illustrated the presentation has been... | the reviewers all appreciated the quality of the writing of the paper but all pointed out that the technical contribution is extremely limited for the work to be presented at gi though the concepts presented in the paper are well known in the cg community it might still be of interest to the audience at gi for these r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method to denoise lowdose ct images in contrast to previously proposed methods no proprietary projection data is required instead the method operates on the image domain as well as on ... | interesting idea well written paper i suggest the authors to include and compare with relevant previous work as suggested by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a generative approach for document retrieval task traditional retrieval systems use a dual encoder to map the query and the document to the same vector space and then perform nearest neig... | this paper proposes a differentiable search index paradigm that transforms an ir problem to a generation problem of doc ids reviewers generally find the paper novel and interesting however a few limitations are also pointed out for example the approach does not work with unseen docs |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
knowledge tracing is a longstanding task in educational data mining and has been tackled by various studies this paper proposed that three data augmentation methods along with different types of regularizat... | the paper proposes new techniques for improving the generalization ability of deep learning models for knowledge tracing kt instead of designing more sophisticated models the paper investigates simple data augmentation techniques that can be applied to train existing models in particular three different augmentation st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose to leverage the frozen classifier from the teacher model for training better representations for the student model by further combining with another feature matching loss the proposed met... | this paper proposes a new idea for performing knowledge distillation by leveraging teachers classifier to train students penultimate layer feature via proposing suitable loss functions reviewers appreciate the simultaneous simplicity and effectiveness of the method a comprehensive set of studies are performed to empiri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is wellwritten it is easy to follow the illustrations help reading the paper the experiments on imagenet64 demonstrate that the proposed method allows for better bpd while using almost the same nu... | this paper is on topic for the workshop and the reviews were overall positive therefore we have accepted this paper the paper claims stateoftheart results on imagenet64 in terms of bits per dimension which seems inaccurate when checking against other methods on the website papers with code httpspaperswithcodecomsotaima... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a new contrastive loss function for knowledge distillation and selfsupervised representation learning the paper demostrates results on transferring knowledge from a teacher to student usi... | this paper proposes a prototypical contrastive predictive coding by combining the prototypical method and contrastive learning and presents its efficient implementation for three distillation tasks supervised model compression selfsupervised model compression and selfsupervised learning via selfdistillation the paper i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on novelty detection and shows that psychophysical representations can outperform vggencoder features in some part of this task novelty it is the first time i have seen this novelty dete... | this paper focuses on the problem of detecting visual anomalies within textures for that purpose the authors consider several parametric texture models and train anomaly detection models on the corresponding outputs reviewers were generally positive about the topic under study but were unanimous in signaling a severe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author analyzes the dynamics of large batch stochastic gradient descent with momentum and shows that the dynamics of sgdm converge to a deterministic discrete volterra equation as dimension increases th... | the paper analyses an sgd with momentum sgdm in a setting where the dimension and number of samples are large the authors provide a theoretical justification for a least square problem they identify two settings based on the implicit conditioning ratio icr in one setting the sgdm achieves linear convergence whereas fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is introducing a learning method which combines both imitation learning and reinforcement learning such that an autonomous learner can leverage prerecorded expert knowledge in comparison to previ... | the reviewer acknowledged that the proposed method is simple and seems to work well on the chosen benchmarks yet the expressed several concerns that were not fully addressed by the authors in their responses the major concern is about the experimental setup the chosen tasks have been judged too simple and quite differe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the exposure bias in autoregressive neural language models this problem is known to cause incremental performance degradation and attempts to mitigate this problem have received significan... | sequence generation models trained via maximum likelihood estimation or variants of so called teacherforcing condition on data samples during training and on model samples for predictions the susceptibility to this potential mismatch in input distribution is often referred to as exposure bias eb this paper stresses t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a variant of bnn with stochasticity added to the activation layer aunn its proposed to solve the underestimation of uncertainty for instances located inbetween two clusters of training po... | this paper presents a new approach to model uncertainty in dnns based on deterministic weights and simple stochastic nonlinearities where the stochasticity is encoded via a gp prior with a triangular kernel inspired by relu the empirical results are promising the comments were properly addressed overall a good paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work aims to understand the phenomena of edge of stability along with progressive sharpening rising of leading eigenvalues of the hessian as a foundation it provides an interesting observation wrt the c... | while there is a rather large gap between the reviewers scores all the reviewers agreed that the paper is novel and the contributions are significant especially given the little knowledge about the eos phenomenon while one of the reviewers raised important concerns about the appropriateness of the assumptions i do beli... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strengths 1 the motivation of this paper that controls the graph generation is interesting 2 most recent papers on graph generation are listed weakness 1 in the vanilla gan the generator only takes standa... | this paper proposed a conditional graph generative model closely following the unconditional generative model netgan and extending it by adding conditioning on extra information available for graph generation shadow node attributes as the authors call it overall this is an extension over netgan and gives this class of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method named note to address the online adaptation for noniid data streams without additional annotation it has two key components instanceaware batch norm iabn and predictionbalanced ... | the paper proposed two testtime adaptation methods a instanceaware batch normalization and b predictionbalanced reservoir sampling and used these to show that the proposed method is better in the noniid setting the reviewers found this to be an important problem the experiments generally convincing reviewers objected ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents multimodal factorization model that factorizes representations into shared multimodal discriminative factors and modality specific generative factors this work applies wassertein autoenc... | this paper offers a novel perspective for learning latent multimodal representations the idea of segmenting the information into multimodal discriminative and modalityspecific generating factors is found to be intriguing by all reviewers and the ac the technical derivations allow for an efficient implementation of this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses an important problem of learning the random field using neural networks by using a inclusive auxiliary generator comparing to existing stateoftheart methods for learning neural random f... | this paper proposes a method for learning neural rfs with the inclusivedivergence minimization problem reviewers generally agree that the experiments are sufficient and convincing and that the method is evaluated well results are comparable with sota methods for image generation the paper is reasonably wellwritten th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for improving the stability of reinforcement learning with value function approximation eg deep qlearning the key idea is fitting a q function to rewards fitting another q functi... | pros an original idea learn an additional inverse policy that minimizes reward to help find actions that should be avoided cons not clearly presented conclusions are not not validated empirical evidence is weak no rebuttal the three reviewers reached consensus that the paper should be rejected in its current fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new timeaware gnn networks called zigzag filtration curve based suprahodge convolution networkszfcshcn specifically the networks composes 1 the simplicial neural networks with an effici... | their new ideas are highly appreciated by the authors the authors enthusiastic revision of the paper is also good it is also nice that the benefits are clear and the advantages are clearly presented both theoretically and experimentally |
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 new concept called model gradient similarity mgs which can be used to analyze the gradient descent algorithm and the effect of explicit regularizations and can be used t... | this paper is controversial among the reviewers on the positive side reviewers like the novelty of the concept the derivations and the clear presentation the negative review wonders why the proposed method performs much better than dropout similarity to lipschitz constraints and whether proper early stopping was used t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the robustness of controllers trained using rl to disturbances the key insight presented by the paper is that the sensitivity of the rl controller is very high for disturbances to the obs... | this paper is a very interesting first step on systematically analyzing the robustness of rl policies under different types of disturbances it is an important problem towards safe application of rl in embodied ai it could make a good contribution to the workshop meanwhile the reviewers pointed out a few limitations of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes diffusionbased approach on classification and regression tasks through conditional distribution modeling of y given x the authors also introduce a new metric for the regression task call... | this paper proposes a different approach to uncertainty quantification in regression and classification problems it extends denoising diffusion probabilistic models in combination with a pretrained conditional mean model to provide a conditional generative model the proposed approach is evaluated on uci regression task... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new regularization method via patch level interpolation during the training images within a batch will be used to construct an image graph for example for a certain image its nearest... | this paper proposes a novel way pani that constructs image patchlevel graphs and then linearly interpolates the patchlevel features the authors show how this can be used in virtual adversarial training panivat and mixupmixmatch pani mixup the method is shown to improve classification compared to standard vat and relate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to achieve disentangled representations for multiview data it explicitly summarizes the conditions for disentangled representations and proposed example solutions to achieve each of these cri... | this paper focuses on disentangled representation learning from multiview data which is an interesting and hot topic however there are several papers published in the last couple of years especially in neurips2020 and eccv2020 solving very similar problems with closely related contributions to this paper the contributi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method to embed a graph onto a product of sphericaleuclideanhyperbolic manifolds the key is to use sectional curvature estimations to determine proper signature ie all component ma... | this paper proposes a novel framework for tractably learning noneucliean embeddings that are product spaces formed by hyperbolic spherical and euclidean components providing a heterogenous mix of curvature properties on several datasets these product space embeddings outperform single euclidean or hyperbolic spaces th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes two modifications to selu activation function to improve it with regards to preserving forwardbackward signal propagation in neural networks the work builds on top of the meanf... | this paper proposed two variants of the selu activation function termed the leaky selu lselu and scaled selu sselu respectively in order to yield a stronger selfnormalization property the review process and the discussion find the following issues the hyperparameter tuning for the baselines is insufficient for the ba... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to learn natural transformations in datasets with manifold auto encoder mae where the underlying identitypreserving transformations are not easily identifiable by using lie group operato... | the paper proposes a method for learning identitypreserving transformations through a set of learned lie group operators it builds upon previous work connor rozell 2020 connor et al 2021 addressing two points i how to select semantically related pairs of points ii how to identify which operators are appropriate for a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper examines noisecontrastive estimation nce from an optimization perspective the nce task consists in training a discriminator to distinguish between data and noise samples prior works observe tha... | this contribution investigates and takes a step back on an important problem in recent ml namely the impact of the noise distribution in density estimation using noise contrastive estimation the work offers both theoretical insights and convincing experiments for these reasons this work should be endorsed for publicat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
thanks for the interesting paper summary the authors focus on the important problem of improved calibration measures as compared to the now fairly standard expected calibration error ece more specifically... | this work proposes a novel metric for measuring calibration error in classification models pros novel calibration metric addressing limitations of previously used metrics such as ece cons limited experimental validation on cifar10cifar100 only unclear impact beyond proposing a new calibration metric unclear value... |
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