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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a probe model to analyze how well existing methods integrate knowledge into pretrianed language models to achieve this goal the authors first propose a mutualinformationbased framework w... | strengths theoretical foundation provided to knowledge integration problem findings from the empirical studies are interesting authors dedicated significant time and energy to coordinating with reviewers in the rebuttal period weaknesses it is not clear whether the gcs is a suitable approximation for measuring ki ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to quantify the interidentify variation by utilizing pairs of similar expressions for identifyinvariant facial expression recognition to find pairs of similar expressions from different i... | authors propose a new strategy for a hard problem that reviewers found compelling and novel the experimental details are complex and we encourage the authors to address the many issues the reviewers raise |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use gan to disentangle style information from speech content the presentation of the core idea is clear but imo there are some key missing details and experiments the paper mentions... | the paper proposes using gans for disentangling style information from speech content and thereby improve style transfer in tts the review and responses for this paper have been especially thorough the authors significantly improved the paper during the review process as pointed out by the reviewers inclusion of additi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using a shallow network with a large convolutional kernel for endtoend e2e learning of computational imaging systems the proposed large convolutional kernel used only in the first layer ... | this paper develops a multigpu differentiable simulation of a programmable microscope wherein a large convolutional kernel used in the first layer is implemented in the fourier domain the work outperforms sota approaches for lensless photography and it allows the endtoend design of a snapshot 3d microscope which beats... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the contributions this paper explores the concept of compositionality in emerging languages firstly it proposes two metrics to measure it when defined with a reliance on homomorphism speaker con... | this paper proposes an interesting scenario of different levels of complexity and a new measure of compositionality reviewers have strong concerns about experimental details as well as depth of analysis and experiments given the potential of the author to add these details maybe release code as well add new experiments... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
hardimagenet is a dataset with a formulized a task and metrics aimed towards solving an image recognition model unwanted behavior referred to as reliance on spurious cues this phenomena happens when class l... | the paper has gone through the ethics review as per the suggestion of the ethics reviewer the authors confirmed with the irb of their institute that irb approval is not needed for the study the paper thus does not have serious ethical concerns after the discussion period the paper obtains an average rating of 62 from ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of tabular data imputation to handle missing numeric data it compares the rmse of recently proposed ganbased methods gain and misgan with the classical knn method either thr... | this paper presents a study of methods for tabular data imputation in particular the authors compare deep learning methods with knn based approaches experiment results demonstrate knn to be competitive with deep learning methods reviewers have concerns about the characteristics of datasets used in the experiments and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deals with treelike structure embedding with box embedding on the lattice poset this paper is wellmotivated and wellpresented though there is a limitation on data structure this paper still prese... | the paper is concerned with modeling multirelational data with joint hierarchical structure for this purpose the authors extend box embeddings to multirelational settings supporting the modeling of crosshierarchy edges and generalizing from a subset of the transitive reduction the reviewers highlight that the paper is ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new numerical solver for stochastic differential equations and demonstrated significant improvement over existing ones such as the eulermaruyama solver in terms of the qualitycomputati... | the paper proposes numerical method for solving sdes that empirically are faster than previous approaches two reviewers felt the paper was above threshold while two felt it was below threshold for acceptance while the paper is borderline in this sense all four reviewers noted that the paper lacked a theoretical justifi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
training gnns is challenging due to high communication costs or large memory overheads this paper proposes a communicationefficient distributed gnn training technique named learn locally correct globally ll... | dear authors the paper was received nicely and discussed during the rebuttal period the current discussions mostly lie on the acceptance side some prons of the paper include timely topic this paper deals with the problem of distributed training of gnns new algorithm this method captures the idea of transmitting ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new methodology for noisyrobust learning by augmenting the simlr methodology with a mixupstyle augmentation and noisecleaning the paper proposes a new methodology for training models ... | this paper proposes a framework to train a discriminative model robust against i label noise ii outofdistribution input and iii input corruption to tackle these problems a complex model is proposed that combines several existing models including infoncestyle contrastive learning prototypical contrastive loss mixup and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to use an additional database d to do generation the idea is very simple and straightforward during training for a training image x they use it to find the k images from the d by using clip... | this paper tackles the general image synthesis problem unconditional conditional textguided using a semiparametric manner it first retrieves relevant samples from external dataset and use them as additional conditions for image generation it is verified with different image synthesis frameworks eg diffusionbased and au... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an alternative optimization technique mirror descent for adversarial inverse reinforcement learning claiming it will resolve some of the issues with previous methods the authors prove ... | this work introducesapplies the mirror descent optimization technique to adversarial inverse reinforcement learning airl as a result the proposed algorithm mdairl incrementally learns a parameterized reward function in an associated reward space the two issues of standard adversarial imitation learning algorithms are 1... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i like the main ideas articulated in the paper but find the writing lacks some clarity summary of paper the paper takes as a starting point the study from barbu et al where the robustness of object recog... | reviewers agreed that overall the twopronged message of the submission has utility 1 that objectnet is continues to be difficult for models to understand and is a challenging test platform even when objects are isolated from their backgrounds this is significant and not obvious cropping objects makes the distribution ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an application of reinforcement learning for adaptive mesh refinement in largescale finite element simulations of complex physical systems the authors suggest to formulate the mesh refin... | this work formulates the adaptive mesh refinement amr problem used in solving finite element method fem as an mdp and suggests an rlbased solution for it most reviewers agree that this is a novel problem and the solution is promising there are however several issues raised by our reviewers who have expertise ranging fr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a gan construction which encourages the latent space to modematch the data distribution this allows for unsupervised classlabel inference experimentally verified for two tasks i think ... | the paper uses a multimodal prior in gans and reconstructs the latents back from images in two stages to match the generated data modes to the latent space modes it is empirically shown that this can prevent mode collapse to some extent including intraclass collapse however the paper lacks a comparison with state of th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an alternating reverse filtering network for multispectral image fusion motivated by classical reverse filtering the authors develop an unrolling network based on alternating fixedpoint ... | the paper presents a pan sharpening image fusion approach using deep learning the overall review sentiment leaned towards accepting the paper the reviewers appreciated the reformulation of the problem as an iterative reverse filtering process and thought the technique was generalizable broadening its potential impact s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper propose to tackle visual reasoning problem in videos the proposed solution is to combine monet burgess et al 2019 with selfattention mechanism vaswani et al 2017 to first encode images int... | this paper presents an approach to tackle visual reasoning by combining monet and transformers all reviewers agree that there is some performance improvement shown but there are several concerns including claritywriting multiple reviewers point it experiments baselines and most importantly missing insights from experim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the convergence rates of the two firstorder methods named qrgf and qsgf these are constructed by forward euler discretizing the qrescaled gradient flow qrgf wibisono et al 2016 and qsigne... | this paper starts from the observation that a certain class of rescaled gradient flows referred to in the paper as rgf and sgf converge to a solution in finite time wibisono et al 2016 romero and benosman 2020 as a result it is plausible to ask whether the euler discretizations of these flows viewed now as optimizat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the attack methods are clearly and extensively described and the paper is well organized overall some of the attacks are a straightforward variation of known attacks strong original contributions are not f... | the authors have delivered an extensive examination of deep rl attacks placing them within a taxonomy proposing new attacks and giving empirical evidence to compare the effectiveness of the attacks the reviewers and ac appreciate the broad effort comprising 14 different attacks and the wellwritten taxonomic discussion ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the lipschitz continuity properties of selfattention it is proved that the widelyused dotproduct selfattention is not lipschitz continuous a novel l2 selfattention is proposed and proven ... | this paper shows that l2 selfattention is lipschitz and presents a new method for computing the lipschitz constant all reviewers are positive about the technical part of the paper however the major concern comes from the significance of the computed lipschitz constant the paper only presents some numerical results usin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors aim at building the equivalency between hypergraphs and undirected graphs they introduce the concept of generalized hypergraphs and demonstrate their equivalency with undirgraphs i... | standard algorithms for deep hypergraph learning have not been designed for hypergraphs with edgedependent vertex weights edvws where the weight of a vertex can depend on the edge of which it isa member this paper develops a connection between edvwhypergraphs and undirected simple graphs thus enabling the use of existi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of determining prediction intervals pi in regression task the prediction interval problem can be summarized as predicting a lower and upper bound between which the potential ... | this paper presents a method for producing a mixture of disjoint predictive distributions for deep learning models rather than a single predictive distribution the reviewers in general found that the idea had strong potential was well motivated and addresses an important and underappreciated problem in deep learning ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
using learned representation for morphological characterisation of drug effect is an idea application area for deep representation learning this could motivation more method development in this direction ... | this paper has major strengths which are also outlined by the reviewers deep learningbased morphological characterization of drug effects extensive evaluation and publicly available code the authors have also addressed the comments raised by the reviewers during their rebuttal the topic is relevant to the midl conferen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deals with the interesting question of how to simulate 3d shape of trees given sets of 2d input images taken from drone cameras the process consists of building point clouds and textured triangle... | paper proposes and demonstrates a method to reconstruct 3d shape for a tree from drone data while the reviewers all appreciated to work all felt there were many shortcomings of the paper with respect to an iclr audience a no machine learning novelty b highly interactive data processing method c only one example proc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider the problem of estimating a subspace spanned by unknown vectors when given noisy observations of the vectors specifically each user i contains a vector mui and the observations are xij... | this paper studies the problem of performing subspace recovery ie pca with heterogenous and nonisotropic noise in particular there are n users who each get samples drawn from a d dimensional distribution with mean mui furthermore the means lie in a k dimensional subspace and the goal is to estimate it the main catch is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on the stochastic variant of the projective splitting ps algorithm with a specific focus on monotone inclusion problems the authors propose a novel separable algorithm featured by the abil... | the submission considers a stochastic variant of the projective splitting algorithm with a focus on monotone inclusion problems and it proposes a novel separable algorithm with the ability to handle multiple constraints and nonsmooth regularizers all reviewers felt that there were merits to the submission and that the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the setting of federated learning where each client holds a small subset dk of the entire dataset d the goal is to learn a hypothesis with small generalization error the challenge is th... | the reviewers were not convinced by the authors responses to their concerns and this paper generated little followup discussion some primary concerns include the privacy analysis limited technical contribution and scope eg only being applicable to iid data and lacking comparison to suggested baselines the authors are s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper consists of two parts first it conducts the analysis of an asr model specifically it measures the diagonality of the selfattention map and notes that the diagonality for the top layers is higher t... | the paper conducted a thorough experimental analysis of the attention map in the conformer models for ctc based speech recognition models and connected it with phonetic and linguistic information in the speech using these insights the paper presented some computation improvement and marginal quality gains the authors a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors combine adaptive importance sampling ais with control variates cv leading to a novel monte carlo estimator which they call aiscv nonasymptotic bounds were developed for the novel e... | this paper proposes a novel method to perform monte carlo integration combining control variates and annealed importance sampling all reviewers agreed the algorithm was of interest the theoretical evidence was strong and the experimental results were sufficiently convincing so there was a consensus on acceptance as a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the author compares the usability of three mapping languages yarrrml shexml and sparqlgenerate the author focuses on firsttime users the experiment is done on 17 master students and the author concl... | dear authors this paper addresses an interesting and important topic for our community but there are some important aspects of the paper that are lacking as mentioned by the reviewers inclusion of the required references including the study paper choice of the languages detailed explanation of the study and its ou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a transformerbased network architecture called regretformer to address the problem of optimal auction design regretformer differs from prior optimization techniques that frame the prob... | this paper builds on the nascent optimal auction design via deep learning literature it modifies the atthispoint standard approach regretnet to this setting from duetting et al icml19 but on arxiv earlier by incorporating a transformerbased architecture into roughly the same training scenario albeit with a different l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper unifies a large number up to 15 of current multimodal datasets involving 10 modalities and 6 research areas being able to support a variety of multimodal tasks a comprehensive toolkit called mult... | this paper proposes a multiscale benchmark integrating information from multiple heterogeneous sources of data it is an important area and a very useful contribution to the community to assess the generalization capabilities of the ml models across domainsmodalities and modality robustness robustness to noisy and missi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the learning problem arising from seller revenue optimization in repeated auctions with an approximate incentive compatibility constraint under the assumption that the joint distributio... | most reviews are in the positive direction the reviewers gave comments on having better discussions of related work and improving presentation by making definitions more clear i think the authors can further improve the paper based on these comments |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
ifn provides an implicit neural network layer which can be used to predict unlabeled edge flows f from nodal supply and demand u which can be formulated as a nonlinear inverse problem it also takes advantag... | this paper proposes implicit flow network to estimate flow over network edges under certain physical constraints conversation law and constitutive relationship such as ohms law most reviewers agreed that the proposed idea of augmenting ifns with physical constraints is novel and interesting and experimental validation ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article compares five representations of scalar fields number table fatfonts color map color maptooltips color mapnumbers the experiment consisted of three tasks locate a value find an extrema and iden... | this submission has received the following scores average rating 733 min 6 max 8 average confidence 4 min 4 max 4 reviews highlighted the following strenghts clear written presentation r1r3 related work well covered r1r3 and built upon r2 supplementary material detailed r1 and available r3 insight on proscons ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of exploration and skill discovery in unsupervised reinforcement learning to this end the paper proposes cic an algorithm to explore novel states as well as distill the exper... | this paper presents an algorithm for representation and skill learning in rl based on a contrastive approach experiments combining this method with different intrinsic rewards are presented along with a number of sensitivity analyses overall the reviewers recognize that there are novel components here despite the wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper aims to use deeplearning towards solving generic stochastic integer programs the proposed approach involves using a conditional vae to model the distribution over scenarios and leveraging the scen... | this paper presents a conditional variational autoencoder cvae approach to solve an instance of stochastic integer program sip using graph convolutional networks experiments show that their method achieves high quality solutions with high performance it holds merit as an interesting novel application of cvaes to the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a simple heuristic for tuning hmcs parameters just optimize the expected logdensity of the lth sample it seems to work reasonably well on the problems the authors evaluate on this heuri... | this paper proposes to a simple method for tuning parameters of hmc by maximizing the log density under the final sample of the mcmc and apply it for training vae the reviews and discussion raises some critical concerns and questions which unfortunately which unfortunately is not adequately addressed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros the paper considers the construction of adversarial examples for a new learning paradigm which has practical relevance a number of possible threat models under the fewshot learning paradigm are consi... | this paper presents a method for attacking fewshot learners with poisoning a subset of support set i believe this might be the first work to address adversarial examples for metalearners or fewshot learners which is a timely issue a common concern raised by most of reviewers is in the novelty of this work in the sense ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i like the mission of this nearly 2decade old project and this seems like a reasonable thing to try an epsilon increment on the idea of populating a classlevel graph for the purposes of supporting a textboo... | this paper presents results of a project to bootstrap ontology graphs from student textbooks a major weakness of the approach is the limited comparison with prior work clearly it is a nontrivial problem to compare such a complex system to prior work given the number of different components involved but more effort cou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a treebased probabilistic model for estimating the kinodynamic properties of a scene the trees nodes are the objects their links etc and edges are properties like joint type mass frictio... | the authors propose a simulationbased inference framework that learns the structure objects in the scene and the physical kinodynamics properties of the objects through sampling robot manipulation trajectories can be inferred strength relevant and interesting approach that considers uncertainties probabilisti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel approach to multivariate optimisation of general objective functions making use of tensortrain decompositions over discrete statespaces the tt decomposition approximation is ba... | the basic ideas and contribution of this paper have been positively evaluated by the reviewers there were a few questions but many of them have been resolved by the authors careful replies there is an opinion that the comparison with reinforcement learning is inadequate but since it is an application this is not a majo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work benchmarks recent automated weak supervision methods on seven datasets spanning multiple modalities the authors present a headtohead comparison of autows methods with special motivation from the r... | all reviewers except one recommend acceptance the reviewer recommending rejecting the paper score 5 raises valid concerns eg the lack of semisupervised baselines and the comparison to a prior benchmark for weak supervision wrench the authors addressed some of the concerns eg by adding a semisupervised learning baseline... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
metalearning in rl which is a form of transfer learning where we wish to rapidly transfer from experience across a set of related training tasks to novel tasks potentially from a related but distinct distri... | summary of discussions r1 was positive on the paper in their initial evaluation and although dissatisfied with the authors feedback continued to support the paper i agree with r1s assessment that other reviewers call for more theory is somewhat unfair considering the fact that very similar papers dont usually include t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors aim to show that double descent in adversarial training might be caused by implicit label noise that is the distribution mismatch between the true label distribution and the assigne... | the paper suggests that robust overfitting could be viewed as the earlypart of a double descent phenomenon for adversarial training the authors identify implicit label noise ie the label distribution mismatch between the true example and the generated adversarial example as a possible explanation for this phenomenon in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
his paper proposes a federated learning method to address a specific noniid challenge over clients ie when some clients are only available during the daytime and others are only available at the night and t... | the paper considers fl with periodically shifting distributions which is a very relevant and timely research question in the area of federated learning and learning under distributions shifts the paper proposed an interesting unsupervised way to learn grouping clients into different branches during training using a fed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests to view the strategic behaviour of users of agent representatives assuming those representatives are playing a repeated normal form game using regretminimisation as opposed to many papers... | most reviews are positive and think that the paper solves an interesting and nontrivial problem one reviewer points out some concerns on the motivating example and it seems to be addressed in the author response i have a different concern that in real world the set of eligible bidders in each auction differs a lot and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors in the paper propose a complementary system trained using local learning rules and bioinspired mechanisms inspired from basal ganglia such as lateral inhibition and gating based on context task ... | this paper provides a biologicallyinspired method based on predictive coding to address the dangers of catastrophic forgetting in continual learning while encouraging models to leverage similar data from their past when learning from present information the reviewers agreed the paper was interesting and worth publishin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces anhp and andtt that tackle the problem of continuous time sequences and neuralsymbolic computing with a time component using transformers and attention the paper explains their model an... | the paper builds upon previous work on neural temporal point processes it mainly proposes the replacement of the lstms with transformers as transformers are widely considered as a more powerful sequence modeling tool and the three advantages listed in the end of section 1 in this paper however on the modeling side it ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the imitation learning il problem including learning from observation lfo and learning from demonstration lfd is studied the paper proposes a new solution to il which include three key aspects... | i went through the paper reviews and responses this is a borderline paper the negative to neutral reviews are more detailed and convincing |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
second review thanks for taking all my comments seriously after clarification of the difference with rflo i see that this work is even richer than i thought and i increase my grade to 8 it seems that othe... | this paper introduces a method for approximating realtime recurrent learning rtrl in a more computationally efficient manner using a sparse approximation of the jacobian the authors show how they can reduce the computational costs of rtrl applied to sparse recurrent networks in a manner that introduces some bias but wh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper follows on the work of higgins et al 2018 that used linear symmetry based disentangled lsbd representations where realworld transformations provide some structure in the data that can be ... | this paper proposes a new metric to measure symmetrybased disentanglement and uses this metric to optimize diffusion vaes on a set of small synthetic datasets in general reviewers found the theoretical framework introduced to be interesting and relevant but there were a number of concerns regarding the empirical evalua... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses the problem of dimension reduction for visualization it proposes a minimax objective for this problem with game theoretical interpretation it also proposes a gradient descentascent gdali... | while the reviewers agreed that the paper addresses an important topic and combining optimization with game theory is interesting the reviewers had a number of concerns regarding the validity of the proposed formulation of the problem lack of theoretical justification for using gda strong assumptions lack of complexity... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the papers presents an approach for the task of novel object captioning noc noc requires the model to describe novel objects appearing in test images that were not described in the training captions the aut... | this paper proposes a framework for novel object captioning by combining bert and clip the model improves fluency fidelity and adequacy of generated captions however as reviewers mentioned the novelty is limited combining large models and big data to solve a downstream task does not make useful insights at this moment |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method is interesting and has many parallels to contrastive and deep metric learning it also seems similar to minibatch discrimination section 32 in httpsarxivorgabs160603498 i think these work... | the paper addresses out of distribution detection on a subgroup level the discussion of the paper has been divided two reviewers agreed on the importance on the topic and one reviewer found it outside of topics that should be studied leading to an engaging discussion similarly to the authors and two of the reviewers i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to include some structure in the observation model of the standard vae typically implemented with a normal distribution with diagonal covariance matrix the authors follow the work in mont... | in order to evaluate the evidence lower bound elbo vaes typically use a parametric distributionbased decoder pxz if the data is continuous one often considers a gaussian vae where the canonical setting is to assume a diagonal covariance matrix pxz nx muz sigma2 mathbfi in this paper the authors suggest replacing the d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work introduces sprttandem an algorithm to train a sequential probability ratio test sprt as a neural network this network is then used to discriminate between two hypotheses as fast as possib... | this paper presents a density ratio estimation approach to make the early decision for sequential data the main contribution of this paper is the mathematical soundness of the proposed algorithm and all reviewers are unanimously positive about this paper with pretty good scores 7 8 6 9 7 however despite the good scores... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an unsupervised learning model for disentangled latent representation learning specifically the model works on a combined latent space including both entangled variable and separable var... | this paper presents a method for unsupervised learning of disentangled representations by first training a vae with a tangled set of latents and then sequentially learning disentangled latent variables one at a time from the entangled initial vae latent space on several toy disentanglement benchmarks the method is show... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a contextagnostic learning approach that combines an object area and a context image st background image to generate input synthetic image and train the model as contextindependent the p... | the paper addresses the task of contextagnostic learning and presents an algorithm to solve the problem while assuming the ability to sample objects and contexts independently it is reported a theoretical ground proposing to decompose factors contributing to the classification risk in context bias and object error the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses the effect of class imbalance on fewshot learning problems it draws a number of interesting but kind of expected conclusions eg the support set imbalance has a larger influence on the fsl... | the paper studies the effectiveness of fewshot learning techniques in settings where the training labels are imbalanced while addressing an interesting practical problem reviewers raised concerns about the papers technical depth insufficient distinction to existing techniques for coping with label imbalance and limited... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel crossdevice federated dataset flair federated learning annotated image repository with associated download and benchmark code stored in github the dataset consists in 429k imag... | the authors provide a benchmark for federated learning the commonly mentioned strengths there is a big need in the community for this type of work easily accessible code various levels of complexity with different granularity regarding the weaknesses i see no showstoppers some feedback about the experiments done... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes probabilistic extension of stns the proposed model is a simple extension of stns experiments on mapillary traffic sign dataset mtsd clearly shows that marginalizing over the transforma... | meta review this paper proposes a stochastic spatial transformation network for stabilized and probabilistic data augmentation reviewers appreciate the novelty and theoretical justification and the empirical evaluations are comprehensive and valid reviewer 3 suggests more experiments on larger datasets which the author... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
knowledge distillation kd is a popular technique to tradeoff between performance and efficiency student models trained with kd usually work better than those trained from the original labels however applyin... | the authors are strongly encouraged to elaborate further about the novelty of their method as well as to give detailed either theoretical or experimental justifications for the design choices they make within the paper finally the paper could benefit from additional experiments as outlined in the reviews |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main strength of this paper is its contribution to a formal definition and treatment of robustness in tractable probabilistic models tpms propositions 1 and 2 formally allow for considering data corrup... | meta review the quality of this work is good and all of the reviewers agree that it should be accepted the paper addresses a significant problem provides both sound theoretical and compelling empirical results and is well written pros formal treatment of robustness a significant problem algorithms and hyperparameter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
an estimated cate function could potentially reveal individual covariates treatment status or potential outcomes the authors propose a general approach for multistage learning under differential privacy gua... | in this paper the authors provide a metaalgorithm that uses models with differentiable privacy dp guarantees applied to nuisance functions such that a target causal parameter of interest that uses nuisance functions for estimation inherits those guarantees while reviewer opinion was initially split subsequent discussi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
fact a dataset of an integer sequence dataset consisting of data from both organic and synthetic sources a variety of tasks designed to evaluate integer sequence models a collection of the performance o... | this paper presents a large dataset of integer sequences and several tasks for evaluating modeling of those sequences the reviewers generally appreciated the careful curation of the dataset the range of models explored and the potential application domains gvg5 and gece also bring up a point about human performance w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality and clarity the paper is not clear not wellorganized and very hard to read and it seems to be missing some important points the aim of this study is not clearly stated in abstract or introduction ... | the paper tackles the problem of causal discovery from mixed data ie when continuous and discrete variables may be present for both bivariate as well as multivariate settings it introduces the socalled linear mixed lim model and proves full identifiability under certain assumptions including causal sufficiency linear c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focusses on an important problem of improving supervised training of spiking neural nets snns as the current state of snn training is lacking as compared to that for standard anns the authors prop... | the paper proposes a new loss function for the training of spiking neural networks leading to significant improvements in generalization performance across a variety of datasets and network architectures while conceptually simple the approach leads to substantial performance gains and some intuition is provided to expl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a simple subgraph modelling framework by adding a subgraphlevel position encoding to node whether a node belongs to subgraph to node feature in this way the gnn is able to differentiate ... | this paper proposes a labeling trick for subgraph representation learning with gnns the proposed method glass improves on subgraphlevel tasks the topic of subgraph representation learning is relatively new and this paper makes progress in that community which would be appreciated by other researchers interested in the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper includes several theoretical analyses about introducing additional artificial data in adversarial training its benefits and the relationship between the generator performance and training perform... | the recommendation is based on the reviewers comments the area chairs personal evaluation and the postrebuttal discussion this paper studies how synthetic data can be useful for improving adversarial robustness all reviewers find the results convincing and valuable the authors rebuttal has successfully addressed the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach that augments an rl agent with a parameterized retrieval process directly accessing prior experiences the retrieval process is trained to retrieve from the dataset based on th... | one of the four reviewers failed to engage in discussion two acknowledged the authors response and paper revision without changing their scores and one reviewer engaged in considerable discussion resulting in a score increase to a weak accept no reviewer gave the paper a strong endorsement i do appreciate the large e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the expressiveness of neural networkbased relational learning models such as graph neural networks and transformer to this end a rational neural network is built upon the hypergraph stru... | the paper aims to improve our understanding of gnns for relational reasoning in this regard authors develop a conceptual framework unifying popular models gnns transformers etc for analyzing their expressiveness and learning capacity we thank the reviewers and authors for engaging in an active discussion based on autho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work considers mobile devices augmented with 3 sidebuttons to be used in chords and investigates if there is interference when learning new mappings for these chords in different applications and how e... | scores for this submission were somewhat divergent with r2 suggesting borderline reject and r13 suggesting accept all reviewers agree that the investigation is very thorough it considers the learning of chord commands on 3side buttons on the side of a phone in particular it studies learning performance when overloading... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed to solve the instancebased transfer learning and featurebased transfer learning by stacking with a twophase training strategy the source data and target data are hybrid together first to... | this work proposes a method for both instance and feature based transfer learning the reviewers agree that the approach in current form lacks sufficient technical novelty for publication the paper would benefit from experiments on larger datasets and with more analysis into the different aspects of the proposed model ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is laid out clearly with the main ideas explained precisely the authors have also provided supporting ablation studies which illustrate the utility of each individual module they adopt their model... | the reviewers agree that the paper provides an indepth evaluation of an interesting problem albeit with little methodological novelty this is one of the strongest validation papers in my pile the reviewers have all upgraded their rating after the rebuttal phase thereby highlighting the strong responses provided to the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores how dense phrase retrieval ie treating a phrase as the unit of retrieval compares to dense passage retrieval in the context of qa and specialized document retrieval tasks to improve phra... | this paper presents a method for adapting phrase embedding and phrase retrieval techniques to be used for passage retrieval results show that densephrases can lead to better retrieval for opendomain qa than passagelevel dpr better opendomain qa performance and generally better results on two other tasks from kilt the r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the methodology of finding mixed nash equilibrium the authors first introduces the corresponding quasi static wasserstein gradient flow dynamics for solving the problem which is a limi... | the authors first consider a mean field two player zero sum game and consider quasistatic wasserstein gradient flow dynamics for solving the problem the dynamics is proved to be convergent under some assumptions finally the authors provide a discretization of the gradient flow and using this proposes an algorithm for s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors investigate a very simple but still very interesting idea of decoupling weight decay and gradient step it is a well known problem that adam optimization method leads to worse gener... | evaluating this paper is somewhat awkward because it has already been through multiple reviewing cycles and in the meantime the trick has already become widely adopted and inspired interesting followup work much of the paper is devoted to reviewing this followup work i think its clearly time for this to be made part of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors presented a comprehensive study on the role of background in image classification they designed a new set of data and a lot of experiments to find answers to the following questions 1 how much d... | the paper investigates the tendency of image recognition models to depend on image backgrounds and propose a suite of datasets to study this phenomenon all the reviewers agree that the paper investigates an important problem is wellwritten and contains several interesting insights that should be of interest to the com... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies rank1 matrix estimation and provides performance guarantees for two inference methods a bayes estimator and an amp algorithm 1 the author should comment on whether assumption 3 holds for... | this paper studies precise highdimensional asymptotics in a simple lowrank matrix estimation problem when there exists a distributional mismatch between the true noise distribution and the gaussian noise assumption imposed to run the amp algorithm the authors observe and formally quantify the performance gap between t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the presentation is clear the technical approach is reasonable the experiment results are clear the technical challenges and novelties are unknown compared with rl for episodic cmdp there are two di... | meta review this paper makes a contribution to the understanding of exploration in constrained mdps it proposes a new algorithm to explore a constrained mdp using posterior sampling and offers a tighter regretbound than exists in the literature the reviewers generally felt that this paper made a reasonable contribution... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is very well written and introduces the problem well the problem addressed in this paper is very fundamental and can play a useful role in understanding influence or disease propagation in largesc... | meta review this paper proposes an explorethencommit etc algorithm for maximizing submodular functions this is done under the assumption of a fullbandit feedback which means that the learning agent observes stochastic values of the maximized functions but not of the individual arms the reviewers generally liked the pap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes new metrics based on the activation patterns of a model it propose an activation pattern entropy metric and a graph theoretic metric of neuron communities the authors then evaluated mode... | understanding neural networks once they have been trained is a big open problem for machine learning this manuscript designed graph theoretic and information theoretic measures aimed at helping us understand community structure and function in trained networks in particular they measure community structure modularity a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work proposes a structure that mimics progressive nets maybe the main difference from progressive nets is that backwards connection from the new features to the old features in layer 2 are not 0 out thi... | this work is effectively an extension of progressive nets where the task id is not given at test time there were several concerns about novelty of this work and the evaluation being insufficient there was a reasonable back and forth between the reviewers and authors and the reviewers are all aligned with the idea that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
novelty is minimal given previous work in clustering latent variable models etc the structure of the paper mainly with the two use cases at the core is rather nonstandard regardless of that the ideas p... | summary the authors propose a method for representing a posterior over discrete latent variables in representation learning problems using a neural network two applications are discussed one are certain clustering problems in which clusters are sufficiently separated another is the computation of mutual information of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of this work which generalises the minibuckets inference heuristic by dechter to influence diagrams something which i find quite interesting needs to do a bit more of effort to engage with the... | thank you for submitting your paper to the hsdip workshop unfortunately we cannot accept the paper in its current form as noted in one of the reviews the paper is very challenging for readers without the necessary background on influence diagrams and graphical models which we can expect will be the majority of the wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a constraint on the discriminator of gan model to maintain informative gradients it is completed by control the mutual information between the observations and the discriminators interna... | the paper proposes a simple and general technique based on the information bottleneck to constrain the information flow in the discriminator of adversarial models it helps to train by maintaining informative gradients while the information bottleneck is not novel its application in adversarial learning to my knowledge ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
detection backbones usually cost a lot with a novel zeroshot nas method proposed in this work named zendet detection tasks can free from the heavy models time and resources to archive sota performance stren... | this paper received scores of 666 after the reviewers succeeded in making two authors raise their scores from 5 to 6 however even after this none of the reviewers actively argued for the paper the only positive point raised in the private discussion was that the results are strong however there is still the question of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method of learning a consolidated image feature representation from a collection of related taskspecific teachers that transfer well on novel recognition tasks to achieve it the aut... | authors present an approach to consolidate multiple teachers into a single student model that can be adapted to new tasks the method involves using a proxy dataset to facilitate distillation to prevent having to replay images from the teacher datasets a multitask multihead objective is utilized agnostic to the loss fun... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
testtime adaptation methods seek to improve generalization error from training on the source data to testing on the target data by updating the model on test data to mitigate shift between source and target... | the paper proposes a clusteringbased method for sequential testtime training where the test data under distribution shifts arrives in a stream manner the authors also explore a newer setting by emphasizing certain dimensions of the testtime adaptation problem they distinguish experiment setups from the perspective of w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to mitigate some of the computational challenges associated with the decisionfocused learning paradigm under stochastic optimizationbased decisions with unknown parameters in pa... | in agreement with all the reviewers i recommend acceptance in the final version the authors should take into account the reviewers recommendations and update the paper accordingly also regarding the suggestion of reviewer kqia i recommend that the author include a highdimensional synthetic experiment to analyze how the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new method for performing offline reinforcement learning in the face of lowquality data via modelling two separate generator networks one capturing the policy and maximizing return an... | this paper tackles the important problem of learning policies that remain close to the data in offline rl more specifically the authors consider ganbased methods they provide a theoretical insight as to why prior work in modelling with gans fail based on that they are able to propose simple yet theoretically convincing... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors first formulate the optimization problem of gans as an abstract minimax problem equation1 as compared to the original optimization objective of goodfellows gans there is an additio... | this paper provides a unified view of some known methods for monotone operator inclusion problems like forwardbackwardforward fbf and ogda and provides new convergence results for the stochastic version of a variant of fbf called fbfp all reviewers initially recommended rejection the rebuttal and the manuscript update ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i appreciate the response to address the major concerns the proposed approach doesnt follow the episodic training so there exists a clear difference from advanced maml approaches which update the tas... | the paper presents a pacbayesian approach for metalearning that utilizes information of the task distribution in the prior the presented localized approach allows the authors to derive an algorithm directly from the bound this is a worthwhile contribution nevertheless there are several concerns that were raised by the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends euclidean optimization methods adamamsgrad to the riemannian setting and provides theoretical convergence analysis which includes the euclidean versions as a special case to avoid breaking... | dear authors all reviewers agreed that your work sheds new light on a popular class of algorithms and should thus be presented at iclr please make sure to implement all their comments in the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose three methods to improve deterministic l2 robustness certificates of 1lipschitz convolutional neural networks 1 last layer normalization lln 1 relax the orthogonalization of the l... | the paper provides a procedure for certifying l2 robustness in image classification the paper shows that the technique indeed works in practice by demonstrating its accuracy on cifar10 and cifar100 datasets the reviewers are positive about the paper please do incorporate feedback especially around experimental setup ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong points the paper provides a very detailed theoretical analysis of motivation weak points analysis in section 2 is based on linear regression but the proposed method is based on deep models the pr... | the authors proposed to preprocess the original input features into a low dimensional term and its corresponding residual term via svd the paper empirically demonstrated the neural networks trained on such factorized exhibit faster convergence in training several issues of clarity were addressed during the rebuttal per... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a random featurebased multiagent kernel learning approach for both generalized innerproduct gip and random feature rf kernels the authors propose in each agent to exchange the random fe... | in this paper the authors study the decentralized empirical risk minimization problem with reproducing kernel hilbert space i found the problem formulation and the solution quite interesting the authors also answered the main comments of the reviewers even though part of the work is incremental i feel that there is eno... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies kmeans clustering for deep neural network dnn compression with several improvements over prior work the authors provide a differentiable kmeans clustering layer dkm to optimize the cluste... | the paper proposes a simple approach to quantizing neural network weights with encouraging empirical results the authors did work hard to improve the paper and address reviewers concerns during the discussion period i believe the presentation of results can improve by adding a discussion of inference time i am not sure... |
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