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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new compression method parameter shared setup pss and its training method to compress the largescale recommendation embedding table the proposed new compression can achieve higher comp... | overall the paper is a good contribution to the model compression research which achieved 10000x compression using parameter sharing compared previous best 1000x compressing large models is an important direction and i believe this is a good progress while there were some disagreements on the significance of the contri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a hierarchical framework for problem embedding and intended to apply it to adaptive tutoring the system first used a rulebased method to extract the concepts for problems and then learned... | i tend to agree with reviewers this is a bit more of an applied type of work and does not lead to new insights in learning representations lack of technical novelty dataset too small |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of taking high quality clean images given the difficulty of the tradeoff between obtaining blurry images due to long exposure times and noisy images from small exposure time... | all three reviewers voted to accept the paper and the detailed rebuttals from the authors helped to clarify reviewers original concerns one remaining concern from one of the reviewers is whether this method should be referred to as selfsupervised however authors clarified that it is reasonable to consider this method ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper reproduced the original paper based on the code provided by the original authors and validated the original claims this reproducing paper studies the influence of hyperparameters especially the ... | the reviewers agree that the paper is a well written good effort in reproduction the paper also provides additional ablation studies which is helpful for the understanding of the main paper overall the quality is high which warrants acceptance in this venue |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
an interesting finding shows that the advantages of adamw compared to the vanilla adaml2 strengths 1 the main contribution comes from providing the connection between the proximal operator and the adamw upd... | i agree that reviewer vxer was confrontational and abusive especially in the response to the authors rebuttal and believe that some form of sanction or reprimand is appropriate that said i do think that performance should be evaluated on both convergence rate and generalization figure 3 does suggest some improvement o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves a new phenomenon about the optimistic mirror descent omd algorithm in twoplayer generalsum matrix games bimatrix games the iterates either converge to an approximate nash equilibrium ne or... | this paper proves a new phenomenon about the optimistic mirror descent omd algorithm in twoplayer generalsum matrix games bimatrix games the iterates either converge to an approximate nash equilibrium ne or converge to a strong coarse correlated equilibrium cce this result links and improves over two existing understan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper was written with good quality and clarity their idea was original and experiment results show the proposed capsgnn is effective in large graph data analysis particularly on graphs with macroscopi... | ar1 asks for a clear experimental evaluation showing that capsules and dynamic routing help in the gcn setting after rebuttal ar1 seems satisfied that routing in capsgnn might help generate more representative graph embeddings from different aspects ac strongly encourages the authors to improve the discussion on these ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a hierarchical architecture for point cloud generation which is composed of two diffusion models for shape latents and latent points the major difference between pvd and this paper is th... | this paper proposes a latent point diffusion model lion for 3d shape generation the model builds two denoising diffusion models in the latent spaces of a variational autoencoder the latent spaces combine a global shape latent representation with a pointstructured latent space comprehensive experiments are conducted to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides samplecomplexity bounds for stochastic second order methods that improve the best known bounds for first order methods in particular the paper considers a stochastic version of nesterov ... | this paper presents improved convergence rates for scrn on gradient dominated functions reviews all agree that the paper advances known results please take the comments about outperforming sgd into account in the final copy |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper uses transliteration to build better multilingual language models this is particularly useful for building downstream nlp models for low resource languages the idea behind this is that script div... | the authors show that it is possible to overcome the script barrier in mllms by using transliteration in effect they show that transliterating all text to a single script improves the performance for lowresource languages they also provide additional analysis in the form of statistical tests and crosslingual representa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes an algorithm for simultaneous tensor decomposition and clustering using the alternating least squares approach the proposed method is accompanied by a complexity and convergence analysis ... | the paper proposes a multimode tensor clustering method using an alternating least square algorithm the reviewers unanimously like the paper and the content some reviewers have sought a few clarifications including on the proofs hope the authors would address them in the revised version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work describes a new approach to learn kg embeddings by preserving the implication ordering among relations in the embedding space the paper provides a cute new interpretation of transh and then uses i... | this work proposes a new knowledge graph embedding method in the trans family that ensures the implication ordering of relations in the embedding space the proposed idea on viewing relations as sets of pairs of entities is interesting and provides new perspective as compared to previous kg embedding approaches the tech... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the adaptive focus framework af2 which adopts a hierarchical segmentation procedure and focuses on adaptively utilizing multiscale representations generated by widely adopted neural network ar... | four experts reviewed this paper and all recommended rejection there was no rebuttal the reviewers raised many concerns regarding the paper such as missed citations lack of comparison with related methods and some presentation issues considering the reviewers concerns we regret that the paper cannot be recommended for ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper aims to propose a benchmark for voceface matching and retrieval problem as shown by the test confidence analysis the model is suggested to be evaluated on a large dataset or multiple data... | the reviewers pointed out several opportunities for improvements and concurred that the paper needs significant work before it is ready for publication the authors did not provide a rebuttal we hope the review process was useful to the authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel combination of policy gradient and local search algorithms for the traveling salesman problems tsp the main idea is to apply local search to tours generated by policy rollout and... | the paper discusses new rl algorithms for solving large tsp instances the algorithm is novel and the problem is important however certain technical questions regarding the soundness of the algorithm were raised furthermore it seems that despite much larger computational time the algorithm provides only very moderate ga... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary caml is a gradientbased metalearning method closely related to maml it divides model parameters into disjoint sets of taskspecific parameters phi which are adapted to each task and taskindependent p... | this paper proposes a metalearning algorithm that performs gradientbased adaptation similar to maml on a lower dimensional embedding the paper is generally wellwritten and the reviewers generally agree that it has nice conceptual properties the method also draws similarities to leo the main weakness of the paper is wit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a topology analysis improvement to gcn using persistent homology to capture global information regarding the topology of the graph the authors conduct several experiments from graph to ... | this paper presents a new graph neural network layer that is sensitive to topological structure in the graph reviewers all believe the work is technically sound and the experiments particularly after author revisions show clear benefits in cases where topological structure is important the main questions are about whet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors discuss the impact of monte carlo tree search mcts algorithms mcts allows us to roll out trajectories using state value estimates to determine local actions however computational cost can be h... | the main detractor of this paper feels that the paper makes a relatively small technical and empirical contribution given existing results on her andrychowicz et al neurips 2017 however several other reviewers who had more engagement in the discussion were strong supporters having looked at the paper myself i thought ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes pairwise network differential privacy pndp in decentralized optimization that relates privacy loss between two nodes with their communication weights after running the proposed algorithm... | the paper eventually received a perfectly consistent evaluation from all the reviewers 4 times accept so i can only recommend the acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
through the analysis of heat flow this paper proposes a more general graph neural diffusion scheme where the authors induce a new class of pdebased graph neural networks the authors further explore the gra... | this paper studies the robustness properties of graph neural partial differential equations and empirically demonstrates that graph neural pdes are intrinsically more robust against topology perturbation compared to other graph neural networks the reviewers found the experiments extensive and convincing the authors pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose salsa an attack on lwebased cryptographic schemes which has emerged as quantumresistant cryptosystem based on machine learning the authors demonstrate that the process of modular arit... | the authors propose salsa a machine learning attack on cryptographic schemes based on learning with errors lwe as the underlying hard problem they show that salsa recovers secrets of small and medium size lwe instances with sparse binary secrets the main selling point is that if the attack could scale up it may pose a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses the problem of evaluating and diagnosing the representations learnt using a generative model this is a very important and necessary problem however this paper lacks in terms of experim... | this paper presents a dataset for measuring disentanglement in learned representations it consists of mnist digits sometimes transformed in various ways and labeled with a variety of attributes this dataset is used to measure statistics of various learned models measuring disentanglement is certainly an important prob... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of abusive language detection in social media with focus on indic languages which are traditionally not resource rich in terms of datasets to that effect the paper makes the fo... | this paper creates macd a largescale 150k humanannotated multilingual 5 languages dataset for abusive language detection in social media the dataset has a focus on indic languages which are lowresource for this task the paper presents in detail the sampling and annotation process in addition the paper presents abusexlm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a modelbased rl algorithm that provides decomposed dynamics models when the state and action spaces are defined as a multidimensional cartesian space we can divide the method into two p... | one of the major challenges in modelbased rl is the learning of accurate world models this work proposes a method that can learn to decompose the dynamics of the world into several subdynamics which is postulated to lead to better prediction accuracy which in turn should lead to better policiesdownstream performance th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper connects the gradient behavior of recurrent neural networks with its dynamics through the maximum lyapunov exponent of a trajectory which is generated by the respective rnn in particular several c... | this paper analyzes the gradient behavior of rnns in terms of the lyaponuv exponents of its trajectoryorbit showing that rnns with cyclic or stable equilibrium dynamics have bounded gradients but if the dynamics are chaotic the gradients will explode from these insights the authors propose an algorithmic remedy for thi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the invariance minimization principle to address to handle distribution shift at a relatively small labeling cost for this purpose this paper designs an interactive model adaptation fram... | the reviews and the discussions converged on the consensus that the paper contains novel ideas and is theoretically solid however a discrepancy between the scores remains after the discussions due to different opinions on the experimental part especially the lack of comparison with standard adaptation baselines in the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves that coupling flows in particular flows with single coordinate affine coupling layers can universally approximate any compactly supported diffeomorphism with nondegenerate derivative in ... | the paper proves universal approximation in ck norm for general families of invertible flows that can approximate a certain class of entrywise diffeomorphisms an example of such a family are for instance compositions of affine couplings even entrywise and invertible linear maps this improves upon prior results from tes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an actorcritic neural network architecture for autoregressive generation of 3d molecular structures with reinforcement learning rl it builds upon the rl approach by simm et al 2020 which ... | the paper provides a new covariant approach to 3d molecular generation motivated by the desire handle compounds with symmetries to this end the method uses equivariant state representations for autoregressive generation built largely from recently proposed covariant molecular networks comorant and integrating such repr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a model for probabilistic rule learning to automate the completion of probabilistic databases the proposed method uses lifted inference which helps in computational efficiency given that ... | the paper presents a method of learning probabilistic rules from a probabilistic dataset of kb tuples they first use existing deterministic rulelearning algorithm amie to get candidate rules and then learn probabilistic rules using lifted inference the paper is written clearly authors have responded the reviewers con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a method to control pretrained generative models eg to condition samples on a text prompt or to control the value of an attribute or to debias samples the control can be specified using a... | this work concerns a unifying method for repurposing off the shelf conditional models in order to define an energybased model of vectors in the latent space of a pretrained generative model for the purpose of controlling synthesis and a feedforward approximation using invertible neural networks the authors present seve... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents drqv2 a modelfree reinforcement learning rl algorithm for visual continuous control the algorithm is tested on the deepmind control suite and it is proven to learn visual tasks in a rema... | the paper addresses various improvements in visual continuous rl based on a previous rl algorithm drq as the reviewers point out the main contribution of the paper is of empirical nature demonstrating how several different choices relative to drq significantly improve data efficiency and wallclock computation such that... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the idea of progressive training of deep networks for federated learning where only some layer blocks are trained initially and the remaining blocks are progressively added in order to... | as pointed out by some reviewers the proposed method basically puts progressive training in the federated context the theoretical analysis only concerns the centralized or nonfederated setting and thus give no insight or guidelines for progressive training in federated learning the main advantage of saving communicatio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose a new adversarial training algorithm separable reweighted adversarial training srat for imbalanced datasets strength this paper provide a novel method srat for adversarial training on imb... | three out of the four reviewers raised various concerns on motivation clarify result significance and unclear writing while the authors provided their rebuttals unfortunately no reviewer seems to have changed their mind ac reads the paper and agreed this paper perhaps needs major revision before publishing in a major v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes novel loss functions to promote large margins during the training of a supervised softmaxbased classification loss under various conditions such as balanced and imbalanced number of samp... | this work presents a principled objective function for large margin learning specifically it introduces class margin and sample margin both of which it aims to promote it also derives a generalized margin softmax loss which to draw general conclusions on the existing marginbased losses the effectiveness of the proposed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a multiscale method to design invertible network and apply it to bayesian inverse problems the method itself is quite concise and beautiful in its simplicity a nice case of obvious once... | the paper considers sample generation in highdimensional bayesian inference and proposes a multi scale procedure that performs coarsetofine multistage training and enables interpretability of intermediate activations at coarse scales the method is simple elegant and addresses a very important bottleneck of highdimensi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies value equivalence and considers the scenario where the agent limitations may entirely preclude identifying an exact value equivalent model which immediately gives rise to a tradeoff betwe... | this paper studies a modelbased reinforcement learning approach that is able to identify a model that is simple enough to be learned by a limited agent while incurring only bounded suboptimality after reading each others reviews and the authors feedback most of the reviewers concerns have been solved and the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper contributes a specific inference method for sparse variational gaussian process regression in a bayesian setup allowing inference of hyperparameters which doesnt require sampling the inducing var... | the paper presents a new method for scalable inference in gaussian regression based on the inducingvariable formalism it shows that it is possible to sample covariance hyperparameters while avoiding sampling the inducing variables a consequence of their doubly collapsed bound the reviewers agree that it is a technicall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
prior comment this paper should be rejected based on the experimental work experiments need to be reported for larger datasets note the mgan paper reports results on stl10 and imagenet as well note thi... | the paper proposes a new method that builds on the bayesian modelling framework for gans and is supported by a theoretical analysis and an empirical evaluation that shows very promising results all reviewers agree that the method is interesting and the results are convincing but that the model does not really fit in th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors study the multiagent navigation problem and propose a control admissibility model cam to output and compose the action instead of directly approximating the optimal policy to this ... | the reviewers appreciated the wellwritten paper and pointed out the ambitious overall objective they found the proposed method to be an interesting and welldesigned approach for dealing with dense multiagent systems however they also raised a number of issues to address these the authors should try to improve the expla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes mix and reason a new domain generalization approach consisting of two components the first component categoryaware data mixing basically performs data augmentation by replacing the backgr... | some of the reviewers had concerns about novelty and one of the reviewers was worried about the care taken in training a baseline however another reviewer has a strong positive opinion of the work and i believe the authors have done a good job in rebuttal making an effort to address the concerns about baselines i am ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a metricbased and a featurebased membership inference attack for multimodal machine learning the authors evaluated the proposed attacks under unrestricted dataonly and constrained sett... | this work studies membership inference attacks for multimodal models it proposes a few different attacks under different assumptions on the attack model and evaluates them empirically the reviewers found the problem interesting and the paper wellwritten the paper is a welcome addition to the literature on membership in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to optimize the hyperparameters and parameters of a federated learning model jointly via gradient descent in an online fashion to achieve this the paper extends previous works on hypergr... | we thank the authors and the reviewers for their involvement in this interactive reviewing process while the paper clearly generated interest and brings new notions to the community we felt that a major revision is necessary before the paper can be a successfull neurips submission consequently we unfortunately recommen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors consider rewardfree reinforcement learning under general class of function approximation they propose the rfolive algorithm a rewardfree version of the olive algorithm by jiang et al 2017 for re... | despite a few concerns about the novelty of the paper mostly from an algorithmic perspective i think the investigation of the minimal structural assumptions for rewardfree rl is interesting for the community this work provides a first step in the direction of obtaining a better understanding about rewardfree rl outside... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes the approximation of the logratio called normalized evidence in the paper the logprobability under the model minus the logprobability under the true model since the model is singular the ... | the paper proposes a variational inference based on singular learning theory slt where the resolution of singularity is learned by normalizing flow so that the latent distribution is factorized pros a unique idea to use slt for variational inference cons only serious concerns goal is unclear the authors say that t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
updated review given the unanimous support for acceptance amongst the reviewers i dont think it is really necessary for me to provide a detailed update the details of how the authors have addressed the c... | reviewers agreed that connecting neural networks with dynamical systems to create a new kind of optimizer is an interesting idea after the authors improvements this is a strong submission of wide interest |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper propose a adversary method to train a bidirectional gan with both an encoder and decoder comparing to the existing works the main contribution is the introducing of an augmented reconstruction los... | the paper proposes an augmented adversarial reconstruction loss for training a stochastic encoderdecoder architecture it corresponds to a discriminator loss distinguishing between a pair of a sample from the data distribution and its augmentation and pair containing the sample and its reconstruction the introduction o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the connection between langevin sampling and optimization has been extensively studied a line of research in literature tries to adapt the known optimization techniques to get new sampling algorithms this p... | this paper proposes an improved convergence rate for stochastic gradient langevin dynamics with variance reduction under smoothness and logsobolev inequality assumptions which improves a long line of prior works after author response and reviewer discussion the paper receives unanimous support from the reviewers thus i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a novel variance regularization to reduce the statistical variance of the variational based estimators for fdivergences and renyis divergence the proposed regularization is based on t... | this paper proposes a new class of divergences that are also sensitive to the variance of the estimator the proposed additional variance penalty term introduces a bias term and acts directly on each component of the statistical estimator by choosing the penalty parameter one can trade bias versus variance the results... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces two online sequential tests of equality and contrasts for bernoulli and poisson process based on multinomial hypothesis in simulated studies the new tests show the speed up in decision... | while there is no unanimity the majority is positive and sees the potential value of the approach for machine learning it is good to mention that the authors did a good job in replying to comments and criticisms which has clarified a few misunderstandings personally i would recommend the authors not to use the confusin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an approach towards computing globally nonlinear lowdimensional embeddings of high dimensional data in particular they consider a subspace indexing model with interpolation called simi ... | thanks for your submission to iclr this paper proposes a subspace indexing model for lowdimensional embedding the reviewers were all generally in agreement that the paper is not ready for publication in particular they felt that the paper had several key weaknesses relevant literature is not discussed relevant meth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i tried to parse the papers details multiple times but it really seems like a hard task from what i understand the paper is doing offpolicy learning across several environments the actors are parallelized a... | the authors present an interesting approach but there were multiple significant concerns with the clarity of the presentation and some concern with the significance of the experimental results |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method called triangular dropout to allow a fully connected layer in a network to have variable width at deployment which is achieved by applying a lowertriangular mask to the output o... | the submission proposes triangular dropout training to provide adaptive capacity of the network at inference time the proposed approach is simple and sound however the experiments are lacking in terms of complexity of the task and uptodate architectures eg transformers or convolutional layers to demonstrate the effecti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is clearly written and easy to read the authors present a wellmotivated method for pneumonia localization the experimental evaluation validates the effectiveness of the method with improved p... | the presented work received one borderline and two weak accepts prerebuttal which remained unchanged after the rebuttal phase in particular despite the authors responses the reviewers felt that the methodological contribution is rather limited which they consider as an important weakness of the proposed work while i ag... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to integrate the advantages of parallel methods and recurrent methods and proposes a recurrent video restoration transformer rvrt rvrt first divides the video into fixedlength video clips a... | the paper introduces a recurrent video restoration transformer with guided attention which combines recurrent and parallel methods in some extent all reviewers found that the proposed method is sound and that experiments are adequate to demonstrate the effectiveness of the proposed method |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
addresses a key problem within medical applications that is interpretability the loss function is defined such that it enforces interpretability the network resembles a multilayered tree structure where ... | two reviewers have different opinions about this work the weakness of this work is that it lacks some details about the decision tree however it is an interesting work that can address a key problem for deep learning for medical applications in general i maintain acceptance for this conference to raise discussion in th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper extends previous work on linear state space models ssm where the state transition matrix is fixed to be a highly structured hippo matrix which has provably beneficial properties for memorizing lon... | all reviewers agreed this was a very strong submission it was clearly written was theoretically and experimentally interesting and had excellent motivation a clear accept authors youve already indicated that youve updated the submission to respond to reviewer changes if you could double check their comments for any rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
clearly written paper motivation is solid results are promising a good application study mil with defined costs seem to perform better than the state of the art any unsupervised algorithm to reorganize d... | the paper proposes a framework for classification of whole slides images where the dnn essentially relies on patch processing as is the norm the paper proposes an aggregation module that relies on a dnn to perform a weighted average of the patch representations section 32 the paper claims endtoend learning but this inv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method to obtain multiple local optimal solutions around the existing one the algorithm consists of moving away from the local minima along some random direction but biasing the direct... | this work proposes a method to discover neighboring local optima around an existing one reviewers all found the idea interesting but argued that the paper needed more work in particular some of the claims are too informal or not sufficiently supported and the reviewers found the key section were difficult to follow the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work identifies the cause and the precise condition of posterior collapse of a linear latent variable model and proposed methods to alleviate the problem by making the latent variance learnable origin... | this paper analyzes the phenomenon of posterior collapse in linear variational autoencoders while only the linear case is addressed all reviewers found the work worthy of acceptance citing its clear contributions to this line of literature that seeks to understand how deep architectures interact with the evidence lowe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on escaping the ntk regime for gradient descent and provided a comprehensive theoretic analysis toward understanding how a twolayer neural network could escape the ntk regime via eigendeco... | this paper studies the learning dynamics of twolayer neural networks beyond the ntk regime for learning lowdegree plus sparse polynomials the author response and discussion have addressed most of the reviewers questions and concerns while some reviewers think the polynomial regression setting is a bit limited all the r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in general it is not clear at least theoretically how and when unsupervised data helps to generalization of nonlinear methods in the literature there are important and elegant works exists that analyses the... | the paper looks into theoretical analysis of selftraining beyond the existing linear case and considers deep networks under additional assumption on data namely expansion and minimal overlap in the neighborhood of examples in different classes the results shed some light on selftraining algorithms that use input consis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed three extensions to dqn to improve the learning performance on atari games the extensions are transformed bellman update temporal consistency loss and expert demonstration these three ext... | this paper proposes a combination of three techniques to improve the learning performance of atari games good performance was shown in the paper with all three techniques together applied to dqn however it is hard to justify the integration of these techniques it is also not clear why the specific decisions were made w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new novel algorithm named lrloftrl which can achieve nearoptimal for general convex games in particular when all players employ lrloftrl the regret of each player grows in logarithm sp... | reviewers are all positive and appreciate the theoretical contributions good work please make sure you address all the reviewers comments and incorporate them and any new experimental results if applicable in your cameraready |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a method to calibrate the underlying distribution of a few samples in the fewshot classification scenario the idea is to estimate a feature distribution of a few samples of a nov... | this paper proposes a novel and powerful data augmentation strategy for fewshot learning producing convincing improvements over current approaches the request by the reviewers to include additional ablations more backbones and an additional dataset have been satisfactorily resolved with the results remaining strong th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
parallel training of skill discovery methods results in failure of learning some skills this happens because certain states are never visited by the learned skills authors propose recurrent skill training w... | the paper identifies a problem in prior works on skilllearning some states that are visited in training by diverse skills may not be visited after skills are learned dubbed as exploration degradation problem the problem is wellmotivated and is an important one in unsupervised skill learning authors then propose a metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an extension of the arc dataset where tasks are labeled with naturallanguage descriptions that are sufficient for a human to generate the output grid given an input grid without any addit... | the paper addresses the important problem of program synthesis from human natural language instructions sufficient analysis is done on the collected dataset including annotation and data cleaning for quality assurance and the work is a valuable contribution to the program synthesis community based on the reviews i rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i have read the authors rebuttal and happy to see that a discussion regarding parameters is added figure 9 other than that my personal concern is similar to anon review 3s it seems that the core ide... | this work proposes a method for identifying appropriate graphical models through enumeration pruning of redundant dependencies and neural network conditionals while structure learning is an interesting application and there are some promising results there were a number of concerns around experimental evaluation comput... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an animation video superresolution method first the authors build the proposed avc dataset by collecting lowquality videos and by generating pseudohr videos pseudohr videos are obtained... | the paper proposes a method for superresolution of animation videos the contribution is threefold a new approach to learned image degradations a dataset of highresolution animation videos and a multiscale model architecture the method demonstrated good empirical results while being substantially faster than prior appro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes reducing slip during dynamic motions by adapting the trajectory specifically decreasing the velocity this is in contrast to previous papers which normally focus on moderating gripping fo... | this paper presents a method for preventing slips in pointtopoint motions while grasping an object using lstmbased models for detecting and predicting slips this approach is effective when contact force cannot be increased reactive and proactive controllers are presented and the latter demonstrated better performance ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is on improving explainability techniques for machine learning models a popular technique is based on local linear models that make a locally linear approximation of the ml model around a provide... | the paper attacks the problem of how to define local when generating local linear explanations eg lime forming the linear approximation using multiple points the proposed method attempts to balance robustness of the explanation vs its specificity the approach of using multidimensional piecewise linear segmented regre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel benchmark for partbased reasoning featuring 80k indoor scenes contraining pieces of furniture from the partnet dataset scenes are annotated with object and part labels as well a... | thank you for sharing the anon link with different examples the examples make it more clear so as to where the unsupervised slot attention module fails also ive increased the rating to 7 in my original review id mistakenly forgotten to do so previously |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a hierarchical framework for longterm video prediction the structure is firstly predicted in the form of semantic map it lies in a categorical structure space which is easier to ... | this paper proposes a new implementation of a previously proposed twostage process for video prediction first predict future segmentation maps then map them to video frames combined with other advances in video prediction and image generation this simple idea is shown empirically to work very well producing video predi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the assumption implicit in hindsight experience replay her namely that we have access to a mapping from states to goals rather than satisfying this requirement by defining goals as stat... | this paper was reviewed by three experts i assure the authors r3 is indeed familiar with rl and this area initially the reviews were mixed with several concerns raised after the author response r2 and r3 recommend rejecting the paper and r1 is unwilling to defendchampionsupport it not visible to the authors the ac agre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall comments i havent had much time to write this so im giving a low confidence score and you should feel free to correct me i didnt think this paper was very clear i had trouble grasping what the co... | the submission proposes two new things a repulsive loss for mmd loss optimization and a bounded rbf kernel that stabilizes training of mmdgan the submission has a number of unsupervised image modeling experiments on standard benchmarks and shows reasonable performance all in all this is an interesting piece of work tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper claims that neural odes are more robust to adversarial examples than resnets and offers both empirical evidence and a theoretical explanation however i dont believe the theoretical analysis shows ... | i thank the authors and reviewers for the discussions reviewers raised major concerns regarding the significance of the results and experiments given all i think the paper needs more work before being accepted i encourage authors to address comments raised by the reviewers to improve their paper ac |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper concerns the problem of videotext representation learning and its application to videotext retrieval the source of pretraining data comes from youtube videoasr pairs the main novelty is the adopt... | this paper studies the problem of learning better videotext representation learning with an application to videotext retrieval it proposes a key innovation it uses a new generative task of crosscaptioning that addresses issues with contrastive learning by learning to reconstruct a samples text representation as a weigh... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post rebuttal im afraid the authors failed to answer my main question regarding the results and the applicability of their proposed approximation therefore i decide to keep my score contribution claim... | while the author response clarified some concerns it could not convince the reviewers that the current version of the paper should be accepted for publication at iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
many existing researches on distributed deep learning works in byzantine robustness in a centralized ps setting under the assumption of iid data distribution on workers eg krum this paper presents a simple ... | this paper presents an algorithm for distributed optimization in that aims to be byzantinerobust in the sense that it learns successfully when some of the workers send arbitrary messages the goal in this work is to remain robust when each worker samples data from a different distribution while reviewers found the wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes topicgan a generative adversarial approach to topic modeling and text generation the model basically combines two steps first to generate words bagofwords for a topic then second to gene... | this paper proposes topicgan a generative adversarial approach to topic modeling and text generation topicgan operates in two steps it first generates latent topics and produces bagofwords corresponding to those latent topics in the second step the model generates text conditioning on those topic words pros it combin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to apply contrastive selfsupervised representation learning to treestructured neuron morphology data the authors adopted tree lstm ref 51 and moco ref 16 and proposed tree topology data ... | the paper proposes a selfsupervised learning method targeting representation learning for largescale neuronal morphology this is an important problem in connectomics and systems neuroscience at large and very little progress has been to date in applying modern machine learning methods to this problem the authors combin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary to enable robust policy learning with image observations the paper proposes a simple data augmentation technique that can be used with existing modelfree reinforcement learning algorithms it defines... | the paper describes a new data augmentation approach for image based rl the approach is both simple and effective it improves significantly the performance of several algorithms across a number of tasks the reviewers were unanimous about the benefits of the proposed technique this represents an important advance fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two algorithms for finding approximate local nash equilibria in pseudogames the algorithms are based on a new function which roughly measures each players regret in some strategy profile ... | on the one hand this paper does not suffer from important criticisms on the other hand the paper has not a champion as all the reviewers set their score between borderline and weak accept the main weakness concerns the need to improve the presentation and clarify the contributions i believe this issue can be addressed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the observational data this paper consider the case where covariates and the outcome are collected at multiple timestamps t in t1 ldots tm and only implement treatment dd d in 01 at the last timestamp ... | the authors propose a novel way of dealing with unobserved confounding when having access to historical untreated data on the treated subjects and using transportability ideas and finding partitions of the covariate space that minimize the confounding bias using the historical untreated data they introduce an interesti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper seeks to theoretically formulate the problem of learning a classifier which is robust against unseen attacksthat is a threat model which is not used at training time the authors define a threat m... | this paper seeks to theoretically formulate the problem of learning a classifier which is robust against unseen attacks reviewers generally liked the way authors formulated this understudied problem in adv robustness and found the paper well written there were some questions and concerns regarding the usefulness of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
reasonable method but not too much novelty summary the paper proposed techniques to pretrain twolayer hierarchical bidirectional or singledirectional lstm networks for language processing tasks in particu... | this paper proposes to pretrain hierarchical document representations for use in downstream tasks all reviewers agreed that the results were reasonable however the methodological novelty is limited while i believe there is a place for solid empirical results even if not incredibly novel there is also little qualitativ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an interesting framework to consider the limiting policies of other agents as time approaches infinity the average reward of each agent is maximized by developing a new optimization obje... | reviewers found the longterm influence problem and proposed solution interesting and novel during the rebuttal important additional baselines and clarifying comments were added addressing the most important reviewer concerns although the scores look borderline for this paper all reviewers who engaged with the authors d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyzes maml algorithms assuming in the inner loop the encoder is fixed and only last linear layer is updated they analyze the gradient update and loss terms in the inner loop and outer loops sec... | this paper connects maml to contrastive learning under some simplifying assumptions and with slight modifications in the setting specifically the authors show that if the inner loop updates are only applied on the top linear layer maml is equivalent to supervised contrastive learning scl this means that maml learns a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a method to perform object localization by computing sensitivity of the network activations with respect to each pixel the key idea is that the representation for classification i... | this paper was reviewed by three experts after the author response r2 and r3 recommend rejecting this paper citing concerns of novelty and experimental evaluation r1 assigns it a score of 6 but in comments agrees that the manuscript is not ready for iclr the ac finds no basis for accepting this paper in this state |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of modeling sets via sequence models via generative approaches mainly this paper considers all the possible stateaction paths that would yield the same set and approximatel... | reviewers found the problem to be wellmotivated and the results convincing they objected to not using transformers and some difficulties to outperform the strong histogram baseline and presentation of the key sizebias trick the authors addressed some of the issues raised and all reviewers rated weak accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a model for learning representations of time series it addresses in particular the context of multivariate time series having exogenous and endogenous dimensions and where the goal is to ... | this is a representation learning time series paper the reviewers appreciated aspects of the paper but all agreed that primarily the experiments are lacking and to a lesser degree the presentation is unclear and needs further proofreading so definitely this work has merits it is also much appreciated that the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submitted paper proposes gats a rl model combining modelfree and modelbases reinforcement learning estimated models of rewards and dynamics are used to perform rollouts in mtcs without actually interact... | the paper addresses questions on the relationship between modelfree and modelbased reinforcement learning in particular focusing on planning using learned generative models the proposed approach gats uses learned generative models for rollouts in mcts and provide theoretical insights that show a favorable biasvariance ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes meme as a new method of multimodal vae which is an extension of semisupervised vaes and can handle partial train settings experimental results show that the proposed method outperforms t... | paper this paper introduces a new method to learn joint representations from multimodal data with potentially missing data the primary novelty builds from the idea of semisupervised vae introducing the concept of bidirectional information flow which is termed mutual supervision this approach brings the same advantages ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors investigate the success of transfer learning with foundation models from the perspective of the neural collapse phenomenon more specifically they study the transfer learning capabil... | based on the previously observed neural collapse phenomenon that the features learned by overparameterized classification networks show an interesting clustering property this paper provides an explanation for this behavior by studying the transfer learning capability of foundation models for fewshot downstream tasks b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the estimation of ddimensional distributions in a decentralized setting agents collaborate by sending messages to a central server but their messages are limited to k bits and 2k d this... | with 4 7 and 7 the paper got a wide range of scores the reviewer who assigned score 4 did not identify any clear flaws in the paper and did not engage with the authors or other reviewers hence i put less weight on the lower review and recommend accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors perform a rigorous study of training regimes for neural networks with normalized weights which is a common practice there is a mathematical analysis using an example problem and empirical study ... | all reviewers find the papers analysis on optimization regimes for scale invariant networks interesting and observations novel the results are clearly presented and well supported by the limited analysis however the reviewers also highlight several drawbacks 1 the paper mainly presents analysis for a scalar function 2 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a statistical model for steering control understanding user behavior in a restricted visibility setting is definitely a topic of interest in the hci community while i am excited about ... | overall reviewers were on agreement about the quality of the paper and the fact that it is well written and structured investigating an interesting topic and describing a solid experiment reviewers r1r2 also praised that while the contribution is small it remains useful to the hci community that being said reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the mechanisms that a gru network uses to store and retrieve memory in a variable delay copy task the authors show that the gru uses slow manifolds to do this and construct a network for ... | this paper studies how recurrent neural networks and more specifically grus store and access information the authors analyze the solution obtained by gradient descent to the variable delay copy memory task for discrete sequences they use concepts from dynamical systems such as slowmanifold to understand the behavior of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a weight initialization method when growing neural networks the key idea is to initialize the new neurons weights to maximize their gradient norm the proposed initialization is realized ... | this paper looks into growing neural networks and finds an improved approach to the initialisations of new layers viz by maximising the gradient norm simple straightforward neat and no good reason to reject it will benefit those who are using growing nns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i generally like the paper the paper discussed a constrained value iteration setting where the safety contraints must be greater some threshold and thresholds delta are parameters the paper attempts to deve... | the main issue with the work in its current form is a lack of motivation and some clarity issues the paper presents some interesting ideas and will be much stronger when it incorporates a more clear discussion on motivation both for the problem setting and the proposed solutions the writing itself could also be signifi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a learningbased method to solve planning problems the approach first identifies regions on the map using transformers to provide attention to map areas likely to include the best path an... | the paper proposes a planning framework that uses a transformerbased architecture as an attention mechanism that guides the search of a traditional samplebased planner eg rrt more specifically features extracted from a sliding window over the 2d search space serve as input to a transformer that produces a mask indicati... |
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