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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a translationequivariant neural model where the neural response to a stationary stimulus is equivalent to convolving with a gaussian however through recurrence the response is maintaine... | the paper constructs recurrent neural circuits that represent stimuli equivariantly with respect to a given symmetry taking the example of the 1d translation group most reviewers were positively impressed by the general framing of the problem in terms of group theory and the elucidation of a connection between continuo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel setdistribution representation architecture dida which leverages pairwise embedding of the sets elements the method can be used to represent discrete and continuous distribution ... | this paper invariantizes distribution based deep networks by using pairwise embedding of the sets elements the idea is inspired from de bie et al 2019 which allows invariance to be incorporated through the interaction functional although the paper is well executed with solid theoretical analysis and solid response to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new vae model jmvae for multimodal data with a shared latent representation an method is also introduced to synthetically created bimodal datasets with correlated latent representati... | this paper suggests a problem with the standard elbo for the multimodal case and proposes a new objective to address this problem however i and some of the reviewers disagree with the motivation first of all theres no reason one cant train a separate encoder for every combination of modalities available at least when... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper studies curriculum learning and proposes two methods to order the examples by 1 gradient information and 2 statistical measures like standard derivation and entropy the experiment results... | this paper proposed two algorithms for curriculum learning one based on the the knowledge of a good solution eg a local minima or a solution found by sgd and another one proposed for natural image datasets based on entropy and standard deviation over pixels reviewers seem to like the ideas behind the proposed algorit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper advances a selfsupervised representation learning strategy dubbed slotcon that can learn from scenecentric data by reasoning and processing visual information at the pixel level this is in contra... | this paper proposes an objectcentric representation learning based on a datadriven semantic slots from scenecentric data in specific the proposed slotcon simultnesobly performs semantic grouping and contrastive representation learning over groups slots which naturally leads to obtaining objectlevel representations with... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper introduces a variational invariant learning approach with bayesian approximation for domain generalization reason for score overall the paper is above the borderline i like the idea... | although the proposed method shows sota results it is a simple combination of two existing methods a bit of bayesian domain generalization it seems that the total improvement by the proposed method is just the sum of improvements by bayesian and by domain generalization no synergy between bayesian and domain general... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel endtoend framework for wholebrain and wholegenome imaginggenetics the genetics network uses hierarchical graph convolution and pooling operations to embed subjectlevel data onto ... | in this paper the authors present a method that combines genetic data using a hierarchical graph convolution approach with imaging data to predict schizophrenia the reviewers raised several concerns that the authors have addressed some of the concerns were relevant to writing the authors have clarified these points ano... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel regression model based on nearest neighbor in particular authors adapt the synthetic reduced nn model used for classification to the regression case the main intuition is to simpl... | an algorithm for learning prototype based nearest neighbor regression model is presented this algorithm minimizes an mse on training examples wrt the prototype centers and the prototype outputs by a block coordinate descent the main contribution is the optimization algorithm finding the prototypes major concerns in the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the submission focuses on a variant of inverse reinforcement learning where the learner knows the task reward but is unaware of hard constraints that need to be respected while completing the task... | this paper introduces icrl where the rl agent is supposed to maximize the reward under unknown constraints which should be inferred from the expert demonstration reviewers generally agreed that this is an interesting work and potentially make rl to be applied to more general settings however they also would like to see... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a range of algebraic model extraction attacks different from the prevalent learningbased approaches for transformer models trained for nlp tasks in a greybox setting ie an exist... | after discussion with the reviewers it seems that a without finetuning the result is close to being trivial as noted also by two reviewers b with finetuning results are lower c the setup of just a linear classification layer is less common but exists d the cases where extraction succeeds the performance is low such tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a se3 equivariant graph matching network for endtoend rigid protein docking they propose a novel optimal transport loss to approximate binding pocket and a differentiable kabsch algorithm... | this paper introduces a novel se3 equivariant graph matching network along with a keypoint discovery and alignment approach for the problem of proteinprotein docking with a novel loss based on optimal transport the overall consensus is that this is an impactful solution to an important problem whereby competitive resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces iterative decoding to improve the compositional generalization ability of seq2seq models iterative decoding predicts a series of intermediate outputs from an input and then adapting th... | all reviewers raise issues with the proposed method and whether it is a applicable to nonsynthetic tasksdatasets b how the input could be broken down into intermediate subproblems in a principled way and whether this would substantially make the proposal slower than the vanilla encoderdecoder framework c awareness of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a treebased learning method for online 3d packing problem packing configuration tree nodes is constructed using heuristicbased tree expansion which acts as the action space of deep reinfo... | this paper proposes a new approach to online 3d bin packing with deep reinforcement learning it received mixed reviews ac finds that the responses from authors have addressed the concerns satisfactorily |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is beyond my expertise i cannot give any solid review comments regarding the techniques that are better than an educated guess however it seems to me that the topic is not very relevant to the fo... | the approachproblem seems interesting and several reviewers commented on this however the experimental evaluation is quite preliminary and the paper would be helped a lot with a connection to a motivating application all of the reviewers pointed out that the work is not written in the usual in the scope of iclr papers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed the humusnet that used to achieve the goal of reconstructing accelerated multicoil mri images humusnet consists several cascades of humulblocks each block complete a step in unrolled it... | four reviewers generally favour accepting the paper and i agree the authors have done a good job of addressing the most pressing concerns of the reviewers in the rebuttal period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
contributions 1 a neural architecture that preserves two symmetries i sign invariance and ii basis invariance built based on the existing equivariant neural networks 2 extensive experiments on various setti... | this paper proposes new neural architectures that are invariant to sign and basis named signnet and basisnet some reviewers raised the question of why such invariances are needed and they noticed that only permutation and rotation symmetry arise in all the data mentioned in the paper one of the reviewers strongly belie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper improves studies if pretraining transformers on natural language improves their accuracy on symbolic mathematics tasks the work follows the wellknown paper by lample charton and use the same dis... | this papers presents a method for solving symbolic mathematic tasks it first pretrains a transformer model with language translation and then finetunes the pretrained model to the downstream mathematic tasks it contains interesting points but our reviewers have serious concerns which are not fully resolved in the rebut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies an interesting theoretical question are there any natural tasks that provably separate fcnets from convnets the main contribution of this paper is an omegad2 vs o1 separation to prove t... | the paper analyzes the sample complexity of convolutional architectures proving a gap between it and that of fully connected fc networks the approach builds on certain invariances of fc nets the reviewers appreciated the technical content and its contribution to understanding the relative advantages of different archit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new adaptive fourier neural operator afno for mixing tokens in visual transformers the idea is based on fourier neural operators fno that transform feature flow in the fourier space the... | overall this paper receives positive reviews the reviewers find the technical novelty and contributions are significant enough for acceptance at this conference the authors rebuttal helps address some issues the area chair agrees with the reviewers and recommend it be accepted at this conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a simple scheme based on the convex combination of a function and its point reflection in order to produce a monotonic building block from which input monotonic or partially input monoto... | there are some ethical issues about using compas dataset in the paper the ethics reviewers recommend that 1 given the limitations of the compas dataset the authors could just use another dataset with the monotonicity constraint property there are a lot of datasets out there with this property but the authors should di... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a modulated variational autoencoders move to perform musical timbre transfer the authors define timbre transfer as applying parts of the auditory properties of a musical instrument onto... | this paper proposes a vaebased model which is able to perform musical timbre transfer the reviewers generally find the approach wellmotivated the idea to perform manytomany transfer within a single architecture is found to be promising however there have been some unaddressed concerns as detailed below r3 has some ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author propose a new regularization method for training the deep neural networks instead of weight decay the proposed method is named logit attenuating weight normalization lawn which constrains the wei... | the reviewers unanimously recommend rejecting this submission and i concur with this recommendation the submission essentially introduces a regularization technique to solve the alleged problem of adam getting worse outofsample error for typical image classification problems eg training resnets on imagenet reviewers ra... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the first modelfree rl algorithm restartqucb for the nonstationary episodic rl problems where the model parameters are determined by an oblivious adversary and change with time with a ce... | the paper shows nearly matching upper and lower bounds on dynamic regret for nonstationary finitehorizon reinforcement learning problems the paper studies an important problem and the results are interesting some reviewers are concerned that there is not enough algorithmic and theoretical innovations in light of prior ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new approach to learn disentangled representations from generative models that were trained without a loss that explicitly enforces disengagement the motivation behind this wor... | this paper evaluates the extent to which disentangled representations can be recovered from pretrained gans with stylebased generators by finding an orthogonal basis in the space of style vectors and then training an encoder to map images to coordinates in the resulting latent space to construct the orthogonal basis th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an improvement on the cutmix strategy of data augmentation where the source patch is selected not randomly but based on saliency results show improvements wrt mixup and other related str... | this paper proposes an approach to data augmentation to train image recognition models called saliencymix which involves pasting salient regions as judged by some saliency detector of one image into another and mixing the two labels accordingly most reviewers generally agreed that the proposed approach is simple it is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors explored the robustness of video machine learning models to bitlevel corruption they investigated previous methods such as outofdistribution ood detection and adversarial training and found that... | this paper investigates robustness of the neural networks under bitlevel network and file corruptions and proposes corruptionagnostic and corruptionaware defense approaches the bitcorruption augmented training is introduced which is about applying the data augmentation at a bit level the majority of the reviewers are ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the structureaware program synthesis saps system which is an endtoend neural approach to generate snippets of executable code from the corresponding natural language descriptions compare... | the paper presents a new neural program synthesis architecture saps which seems to produce accuracy improvements in some synthesis tasks the reviewer consensus even after discussion with the authors was that the paper is not acceptable at the conference two concerns emerge during discussion even considering the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a framework to integrate value decomposition into a broad class of actorcritic algorithms and applied it to sac to derive the sacd algorithm lots of experiments are conduct to verify sac... | the reviewers carefully analyzed this work and agreed that the topics investigated in this paper are important and relevant to the field however reviewers expressed different opinions on the merits and contributions of this work one reviewer pointed out that similar ideas have been explored before and that the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed and evaluated two methods that reduce the number of times the robot asks for human feedback while learning different skills the policies are learned in the continuous sensorimotor space ... | this paper proposes humanguided robot learning methods that require small number of feedbacks from humans two different algorithms dref and drpl are presented and evaluated with simulated and real human data and on simulated and real robots strengths the proposed algorithms demonstrate clear improvements in performan... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces feedback connection to enhance feature learning through incorporating context information a similar idea has been explored by li et al 2018 compared with that work the novelty of thi... | this paper explores the addition of feedback connections to popular cnn architectures all three reviewers suggest rejecting the paper pointing to limited novelty with respect to other recent publications and unconvincing experiments the ac agrees with the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of estimating instanceindependent label noise more formally it is assumed that the true labels for any data point are modified based on a noise transition matrix and the goal... | this paper studies the following model the input to our classifier is the instance x which determines the label z and we observe a noisy version of this label y the key assumption is that the label noise is independent of the instance and the goal is to learn the channel from z to y the main motivation is that generall... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes an efficient framework to search for the optimal initial learning rate to train neural networks the key idea is to introduce knowledge gain a metric derived from the singular va... | this paper studies the important problem of efficiently identifying good hyperparameters for convolutional neural networks the proposed approach is based on using an svd of unfolded weight tensors to build a response surface that can be optimized with a dynamic tracking algorithm reviewers raised a number of concerns w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an alternate approach for distributional drl via proposing an objective inspired from cumulative prospect theory cpt tversky and kahneman 1992 they use this distributional objective in co... | this paper introduces a new approach for risk sensitive rl by using an objective that depends on the full distribution and can apply a weight to the resulting trajectory the reviewers thought that focusing on more general and expressive objectives for rl is well motivated however they had a number of concerns of the cu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper draws inspiration from recent works on graph convolutional networks and proposes gtcn a convolutional architecture for language modeling the key intuition is to treat sentences as potentially den... | though the overall direction is interesting the reviewers are in consensus that the work is not ready for publication better larger scale evaluation is needed comparison with other nonautoregressive architectures should be provided esp transformer as there is a close relation between the methods |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of 1 buyer 1 seller selling k items in the context of this problem they look at a mechanism from prior work that relates the ratio of optimal revenue to the myersons optimal... | this very wellwritten studies bayesian mechanism design where we aim to maximize the expected revenue of selling k items to a single buyer with additive valuations the authors investigate when the optimal revenue is infinite while the bestpossible revenue from selling all items in a grand bundle is finite this question... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper compares and analyzes the fairness guaranteedemographic parity in particular provided in three different settings training local models training fedavg with local fair training training fair glob... | the authors consider the problem of training a fair classifier on decentralized data and compare three methods training locally training the proposed fedavg algorithm with local fairness and a global fairness approach the reviewers agreed that the setting was interesting and novel but had concerns about the writing qu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work extends the approximate nearest neighbor search anns algorithm to a more general setting instead of search with a separable similarity measure the authors propose optimal binary functional search ... | this paper proposes an optimal binary functional search obfs algorithm for searching with general score functions which generalizes the standard similarity measures based on euclidean distances this yields an extension of the classical approximate nearest neighbor search anns as observed by the reviewers this work targ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes to modify the dual learning approach to supervised and unsupervised translation problems by making use of additional pretrained mappings for both directions ie primal and dual th... | a paper that studies two tasks machine translation and image translation the authors propose a new multiagent dual learning technique that takes advantage of the symmetry of the problem the empirical gains over a competitive baseline are quite solid the reviewers consistently liked the paper but have in some cases fair... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe paper augments a pretrained multimodal model which encode language and images into a shared latent space said model needs adjustments in order to account for previously unseen links between phrase... | this manuscript presents a method built on top of clip which transforms language embeddings to understand new phrases while maintaining the original abilities of clip 1 the technical novelty of this work is limited that being said if the task is of wide interest a straightforward approach that performs well is not jus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a simple stochastic normalized gradient methods with momentum sngm for nonconvex optimization the authors argued the main advantage of the method is it allows largebatch training theoret... | all reviewers agree that the contributions of this paper are not significant and the paper does not compare well with many of the existing works authors did not respond |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method of compressing neural radience fields nerfs by learning mappings from latent codes to model parameters such that both distortionreconstruction quality and the rate get minimized... | description the paper presents a method for encoding a compressed version of an implicit 3d scene from given images from arbitrary view points this is achieved via a function learning with a nerf model that maps spatial coordinates to a radiance vector field and is optimized for high compressibility and low reconstruct... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors have prototyped potential transparent display based solution to bringing critical information closer to the person operating a mobile crane the authors identified a problem of information discon... | r1 and r2 agree that the paper has merits and can be improved to be wellabove the acceptance threshold with small modifications r3 brings up several good critiques for the work i would recommend reading their feedback and incorporating the changes in the related work section r1 and r3 both bring up the relevant area ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper compares using the crossentropy and approximated auc loss functions in neural network training with auc evaluation the authors analyze loss function landscapes via solution space and minima proper... | the paper analyses the loss landscape induced by auc loss reviewers found critical issues with the paper and the authors have not provided feedback as such i have to recommend rejecting the paper i thank the authors for submitting the paper to the iclr conference i hope the reviews will be helpful in improving the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper agues that methods which they call support constraint consisting in assuming that any action outside the training yields negative outcomes lead the agents training to be overly pessimistic in cont... | the paper attacks an interesting problem accurately estimating uncertainties in actionvalue estimates in offline rl it proposes a method based on ensembles of q functions where we alternately train an ensemble to estimate qsa for the current policy and then adjust our policy based on the mean and uncertainty in this en... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a matrix factorizationbased method for deep neural network weight compression the weight tensors are factorized as two low precision quantized matrices out of which one is sparse 1 i r... | reviewer rrp9 expressed concerns regarding the theoretical results included in appendix a in the discussion not visible to the authors the ac and reviewer zn4a agree that the exposition in the original manuscript was confusing and could lead readers to assume these results were valid for the proposed algorithm also in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
all approaches that propose the use of unsupervised or semisupervised learning to exploit the information contained in large databases are of great interest and fundamental for the immediate future in the ... | the motivation for using semisupervised learning in medical imaging is clear in order to reduce the cost of acquiring dense expert annotations this paper presents an interesting study on applying recent semisupervised learning methods to chest xray segmentation there are some conflicting reviews here but in general the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using image captioning ie intraagent speech as an auxiliary task to help embodied agent to execute tasks involving novel objects which are not in the training interaction dataset in orde... | this work aims to provide a faithful translation of inner speech to a virtual agent via image captioning this is integrated via an auxiliary loss and shown to assist in zeroshot transfer to a new object this aids in reasoning about the otherwise overly rich and potentially spurious visual space the good faith approa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use recent advances for dataset condensation as an alternative for differentially private data generation specifically they use dpsgd to optimize a gradient matching objective that mi... | the paper received overall positive reviews the rebuttal clarified all the concerns the reviewers had at this point i will recommend the authors to incorporate the comments from the discussion into the paper especially the new results with cifar10 |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this papers proposes factualityprompts a new benchmark for openended text generation factuality evaluation the dataset used for the benchmark is selected from fever based on the documentlevel and sentencele... | this paper proposed a new dataset and a new benchmark for factuality of openended text generation based on an analysis on the factuality of language models with different sizes using this benchmark this paper proposed a modified topk sampling strategy and a modified training method to improve the factuality of text ge... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a large scale satellite imagery dataset worldstrat the dataset involves highresolution satellite images covering 10000 sq km of unique locations of various land uses across the world eac... | this paper had 6 reviews the reviewers comments were overall fine except concerns and the writing style ao84 sf2w and 33vk instead of addressing these concerns and showing that they were taken into consideration the authors responded aggressively eg to reviewer 33vk it has been noted that legal concerns have been add... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the properties of adversarial examples from a spatial and frequency perspective and shows that naturally trained models are more vulnerable to highfrequency components in adversarial exam... | this paper explores geometric properties of image perturbations eg frequency content and local consistency and their impact on the adversarial response of networks the reviewers feel that the paper is at times unclear about the meaning of terminology eg local consistency that is not clearly defined also while the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in previous federated learning literature people usually assume there is only one cloud server communicating with all edge nodesclients however since each server has its own coverage in practice th... | the paper studies the benefit of having multiple servers with partial coverage in increase the training speed and latency in federated learning of course optimizationlearning in the multiserver setting comes with a number of challenges which the authors seek to address via novel algorithmic procedures eg fedmes i bel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a simple and convincing idea that neural networks can be employed to memorize the surface geometry of 3d objects such memorized networks dubbed neural implicits exhibit significantly ... | the paper proposes how weightencoded neural implicit can be strong 3d shape representations a neural network is trained such that it overfits over a single shape and the weights of such network is a great representation for the 3d shape results are shown on signed distance field sdf generation from meshes strengths a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper claims to present a new approach for multitask reasoning where reasoning operators are defined as neural operators and a planner is used to chain them based on tasks the approach is endtoend train... | reviews for this paper were mixed 6665 with one review z6sn being somewhat uninformative during the rebuttal some reviewers raised their scores to 6 but overall there was not strong excitement among the reviewers ac and sac from fresh readings by sac and researchers with relevant expertise this papers technical approac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a search algorithm called hypertree proof search htps inspired by the recent success of alphazero the search algorithm is combined with a transformerbased policy for choosing tactics to p... | this paper tackles automated theorem proving by combining mcts with large language models they show that with supervised pretraining this combination can outperform a competitive alternative gptf using an order magnitude less compute and that more dramatic improvements are possible if one allows online learning during ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
as the title suggests the paper revisits and studies pointnet a popular neural network for point cloud representation learning based on the study the paper discovers two results first it proposes a set of t... | this paper presents a series of training strategies and settings that can improve pointnet to match the performance of stateoftheart architectures the ac agrees with reviewer jbw5 that the novelty of the paper is limited and some phenomena were observed before however the detailed training strategies might have the pot... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a set of datasets for long range graph learning the datasets include sufficient samples and detailed construction steps the evaluation supports the claim that the tasks requires long ran... | in this paper the authors present a benchmark for longrange graph learning all reviewers found this to be wellmotivated and appreciate that this work provides a diverse suite of tasks and covers a range of graph properties during the discussion period the authors further clarified several reviewers comments the feedba... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates the utility of dependency graph dg representation in converting questions to question decomposition meaning representation qdmr annotations as an intermediate step the paper proposes ... | this paper presents a method for qdmr parsing as dependency parsing qdmrs are converted into dependency graphs then a graphbased dependency parser is trained to produce these rather than just using the output graphs directly they can be used in a ratbased model which augments a seq2seq model with their information the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the motivation and the proposal for splitting the schema from the procedural representational block makes sense this is a good idea a the authors build on top of rims which have shown reasonable ways to mod... | this paper proposes a modular rnn architecture called scoff the work was inspired by cognitive scienceobject file and schema and was built upon previous work rims the method is validated on tasks having multiple objects of the same type pros it addresses an important problem in dnn systematic generalization the pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on dynamic programming in the tabular setting it proposes to use hamiltonian montecarlo hmc to sample the next states instead of iid samples and matrix completion to learn a lowrank q matr... | the paper considers exploiting lowrank structure in qfunction and the hamiltonian montecarlo hmc to approximate the expectation in qlearning to reduce the stochastic approxiamtion error and thus achieves efficient rl the authors tested the algorithm empirically within some simple environments as reviewers r1 r3 r4 m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors compare a number of recent and commonly used learning strategies for modelbased planning on four typical rl control environments the findings provides some useful insights for practitioners as w... | the paper studies the effect of different design choices related to learning a dynamics model the reviewers uniformly agree that the topic of the paper systematically studying different design choices is important furthermore the paper is very well written however there are a number of weaknesses as well that limit the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method of representing knowledge graph nodes and relations by sampling paths and applying a sequence model the approach is motivated by recent advances in building contextualized word ... | the paper introduces a simple and effective approach to obtaining entity embeddings relying on rnnencoded walks and elmo style losses the approach works well is simple and wellmotivated while the underlying principles have been studied eg rnn embeddings of walks or learning representations relying on walks as in deep... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the specific domain shift named measurement shift on sourcefree adaptation setting they analyze the drawbacks of existing entropybased sfda methods and instead propose a method to retore ... | the paper aims to solve the sourcefree domain adaptation specifically on measurement shift the proposed method lowers the domain gap via restoring the source feature distribution with a lightweight approximation the effectiveness and performance are well validated by extensive experiments on various datasets compared w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper defines an entitymonitoring problem where the goal is to identify the distinct objects see in an episode where the agentmodel moves through the sceneobserves partial state the paper proposes the o... | this paper proposed a longterm objectbased memory system for robots the proposed method builds on existing ideas of data association filters and neuralnet attention mechanisms to learn transition and observation models of objects from labelled trajectories the proposed method was compared with baseline algorithms in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work a new dataset for multimodal visuotactile learning called touch and go is proposed in which human data collectors probe objects in natural environments with tactile sensors while recording ego... | overall all reviewers see the novelty in the dataset that provides an original new set of tactile data accounting for a wide range of objects and scene collected in the wild the paper is overall well written clear and easy to follow and provides a good demonstration of the importance and usefulness of the dataset going... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a text generation method which can utilize the language structures from characterlevel wordlevel to sentencelevel structure the proposed model structureaware transformer sat explicitly i... | this paper proposes a controllable text generation model conditioned on desired structures converting a text into structure information such as part of speech pos and participial construction pc it proposes a structure aware transformer sat to generate text and claims better ppl and bleu compared with gpt2 reviewers p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on disentangling embeddings of the structure and the attribute of graph the authors key idea is that the structure and attribute information should be split in gnn based on this the autho... | in this paper the authors propose a method to find disentangling embeddings of the structure and the attribute of the graph overall this is an interesting paper and the paper is wellwritten and easy to follow and the paper has some merits however the reviewers were still not convinced by the response and the paper is s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of controlled text generation by converting it into a conditional text generation similar to keskar et al19 it proposes an architectural modification to the transformer lm us... | the paper aims at controllable generation by introducing an additional contentconditioner block in the transformer models the paper further provides 4 different variants of a pretraining task to train the contentconditioner model while the proposed approach seems an incremental contribution over ctrl and pplm certa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests a combination of maxent rl with minimum entropy coupling to construct a communication method via on the fly modulation of a stochastic policy execution the core idea being that communicat... | the paper proposes markov coding game mcg which generalizes both source coding and a large class of referential games all the reviews are negative the reviewers think the work is not ready for publication in its current form |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a new rnn architecture with external memory for sequence modeling the proposed architecture marnn is a simplification of tardis gulcehre et al 2017 it uses the similar reader... | there have been many variants of memory augmented neural nets since around 2014 when ntm attentionbased nmt and memnet were proposed it is indeed still an interesting and important direction of research but the bar for introducing yet another variant of memoryaugmented neural nets has been significantly raised which is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper draws a connection between teacherforcing and inverse reinforcement learning the authors derives theoretically from the teacherforcing objective to an equivalent reward function ie a model trained... | this paper proposes a method to design a reward function from a pretrained language model and uses it to train a text generation model using reinforcement learning the approach is novel and the paper presents both theoretical derivations drawing connections between maxent irl and the supervised teacher forcing loss and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes learning shape representation for the 3d shape classification task by regularizing embeddings in hyperbolic space the intuition on which this paper is based is that complex shapes can be... | the paper presents a regularization for point cloud representation learning aiming to promote a partwhole hierarchy through a hyperbolic space most of the reviewers agree the idea of using the hyperbolic space is new and interesting the experiment results seem to be sufficient there was some confusion on how part is de... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary paper proposes an alternative to current point embedding and a technique to train them point embedding are conventional embedding where an input x is deterministically mapped to a vector in embeddi... | this work presents a method to model embeddings as distributions instead of points to better quantify uncertainty evaluations are carried out on a new dataset created from mixtures of mnist digits including noise certain probability of occlusions that introduce ambiguity using a small toy neural network that is incapab... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an exploration method for preference based reinforcement learning methods where human feedback is incorporated to the training regime the authors use an ensemle of learned reward models a... | this is a borderline paper the scores were initially below the bar the novelty of the work is limited and there are strong claims in the paper that should be revised the authors can also do a better job in positioning their work with respect to the existing results however the authors managed to address several questio... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes causal anonymous walks caws that are extracted by temporal random walks and work as automatic retrieval of temporal network motifs to represent network dynamics while avoiding the timeco... | the paper introduces a new method for encoding dynamics of temporal networks the approach while not groundbreaking is interesting and the results are fairly convincing the submission raised a number of concerns from the reviewers they questioned the complexity of the proposed approach r3 and r4 the clarityreadability... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
lowering costs for communicating weights between workers is an important intermediate goal for distributed optimization since presumably it can limit the parallelization achievable once available bandwidth ... | this paper proposes a sparse binary compression method for distributed training of neural networks with minimal communication cost unfortunately the proposed approach is not novel nor supported by strong experiments the authors did not provide a rebuttal for reviewers concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong personalization is a hardcore problem in fl the authors target an important problem the theory analysis seems correct but the bound seems not tight enough weakness recently there are many person... | the paper studies an elegant formulation of personalized federated learning which balances between a global model and locally trained models it then analyzes algorithm variants inspired by local update sgd in this setting the problem formulation using the explicit tradeoff between model differences and global objective... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes dynamic residual adapters designed to adaptively account for latent domains and weighted domain transfer this framework injects adaptivity into networks preventing them from overfitting ... | while all reviewers agree that the topic is interesting and the work has merit several issues have been pointed out especially by r1 and r3 that indicate that the work is not ready for acceptance at this stage the authors are strongly encouraged to continue to work on this topic taking into account the feedback receiv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces the use of fourier convolutional neural networks to model both image encoding and reconstruction processes these neural networks learn multiplicative weights in the fourier domain enab... | the paper proposes an application of the cnn to the microscopy problem of constructing 3d volumes from 2d captured images the four reviewers thought the paper was a straightforward application of existing techniques to a new problem while they were borderline towards accept the overall sentiment was that the technical ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a novel or an unusual type of generative modeling approach that is kernelbased and nonparametric the basic idea is using an operator that maps from the rkhs of z to the rkhs of x so that ... | perronfrobenius operator p is a wellknown tool which maps the density of a dynamical system at time t pt to that at t1 pt1 pt1 p pt the idea has recently been extended kernel perronfrobenius operator kpf klus et al 2020 to map a probability measure pz to px via covariance operators 4 associated to a reproducing kernel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i appreciate the authors addressing my concerns i have increased my score accordingly original review this paper describes a new type of regularization for the parameters of an autoencoder one tha... | the paper introduces a new formulation for learning lowdimensional manifold representations via autoencoder mappings that are locally isometric by design the key technical ingredient is the use of a particular theoretically motivated weighttied architecture coupled with isometrypromoting loss terms that can be approxim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the multiplicity of correspondences between images and texts in crossmodel retrieval greatly increases the difficulty of this task to tackle this problem probabilistic embeddings are proposed to quantify ma... | this paper investigates the multiple correspondence issue of crossmodal retrieval and proposes a method to improve and evaluate the multiplicity of probabilistic embedding sufficient experiments are carried out to prove the effectiveness of the proposed method in addition the rebuttal successfully addressed the major c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method for predicting stock market crises using a deep learning approach which combines time series stock market data with text from news articles experiments find that the method work... | the paper proposes a method for predicting stock market crises using a deep learning approach which combines time series stock market data with text from news articles their experiments show that the proposed method works better than the same model using only news or only stock price data and a couple of deep learning ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper exploits predefined symbols to discover skills that enable symbolic and lowlevel plan generation in an environment with continuous states and actions assuming predefined symbols symbol mappings p... | combining learning of symbolic highlevel and operational lowlevel knowledge is an important and useful research direction and bringing their learning together is a logical and potentially impactful idea the paper proposes a sound method for this challenging task the paper is well written and presented although some exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies model and data scaling laws for neural machine translation it studies how the test crossentropy loss scales with 1 different seq2seq model architectures transformer seq2seq transformer lm ... | this paper analyzes the data scaling laws in nmt tasks with different network architectures and data qualities the main purpose of this paper is to investigate how such different experimental setup affects the scaling law the authors found that those difference does not have strong impact on the scaling exponent and a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces groupgan a method for generating multivariate time series data that share a single source or cause groupgan uses a separate generator and discriminator for generating each data channel... | the authors propose groupgan which uses a separate generator and discriminator for generating each data channel and a central discriminator for accurately capturing the correlation structure between different channels this is a borderline paper and there were extensive discussions among the reviewers about this paper t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposes a sparsity enforcing structure for gans by splitting layers into the generator for the sparse vector and for the final image and by training with sparsity enforcing regularizer in the lat... | this paper introduces sparse modelinginspired regularizations to improve deep neural networkbased image generators experimental results on both lowresolution image synthesis and deep image priorbased inverse problems are used to validate the proposed method the majority of the reviewers were against the acceptance of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new token downsampling method for vision transformer called token pooling to prune redundant tokens efficiently so as to achieve a better flopaccuracy tradeoff specifically token pooli... | this submission receives mixed ratings initially two reviewers lean negatively while one reviewer is positive the raised issues include whether the proposed method can be adapted to other vision transformers the design choice of pooling strategy the computational time cost the similarity to an existing work and the in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies a single timescale decentralized actorcritic algorithm the setting is as follows each agent attain their respective action and reward there is also a global state which is observed by all... | this paper proposes and analyzes the convergence rate of a singletimescale actorcritic algorithm the reviewers reached the consensus that it is above the borderlineacceptance bar however after an indepth discussion during the reviewermetareviewer discussion period the reviewers pointed out some critical problems althou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a way to train a manager agent which would manage a bunch of worker agents to achieve a highlevel goal each worker has its own set of skills and preferences and the manager trie... | the paper addresses a variant of multiagent reinforcement learning that aligns well with realworld applications it considers the case where agents may have individual diverging preferences the proposed approach trains a manager agent which coordinates the selfinterested worker agents by assigning them appropriate task... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of decentralized training in the presence of byzantine peers the paper proposes a byzantinetolerant algorithm which uses randomly chosen peers as validators a validator recom... | this paper presents promising and ambitious work in the context of byzantinetolerant learning in the decentralized setup the reviews raised several critical points of concern completeness of technical derivations and details experimental results and comparisons to other work excluding several state of the art attacks t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an algorithm for decentralized bilevel optimization that converges to epsilonkkt points at a rate of mathcalo1nepsilon2 where n is the number of nodes this is a linear speedup in n compar... | this paper proposes a new algorithm for distributed bilevel optimization with solid theoretical results and empirical validation in multiagent rl examples during the rebuttaldiscussion period authors were able to provide additional experiments and addressed most of reviewers concerns all are in favor for acceptance and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a generalisation of the sfs framework to a goal conditioning representation that could in principle generalise over a collection of goals at test time this is akin to universal ... | in considering the reviews and the author response i would summarize the evaluation of the paper as following the main idea in the paper to combine goalconditioning with successor features is an interesting direction for research but is somewhat incremental in light of the prior work in the area most of the reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
ponet addresses the quadratic time and memory complexity of transformer with a new attention mechanism that has only linear complexity theoretical section 32 and experimental results table 2 bear this out e... | this work reduces the time and memory complexity of transformer for long sequences by using multiscale pooling to reduce attention from quadratic to linear complexity theoretical and experimental results show good results and are very competitive with the stateoftheart the paper is well written and experiments are thor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an improved algorithm based on cic laskin et al 2022 to balance surprise maximization and minimization for rl pertaining experiments on a variety of tasks show the effectiveness of the pr... | this paper proposes a method for unsupervised skill discovery which learns a mixture of policies that simultaneously maximizes and minimizes the surprise all the reviewers agree that the paper tackles an important active research area the paper is well written the motivation is well explained the proposed method is sim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to modify the sharpnessaware minimization sam algorithm to include a random perturbation before taking the gradient ascept step the paper presents some justifications to why it could be b... | all reviewers except one agreed that this paper should be accepted because of the strong author response during the rebuttal phase specifically the reviewers appreciated the significance of the problem being addressed the clarity of the paper the simplicity of the method and the analysis authors please carefully revise... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper conducts an empirical analysis of the effect of training data size on the model robustness to adversarial examples the authors compared four different nn architectures using four different datase... | the reviewers conclude the paper does not bring an important contribution compared to existing work the experimental study can also be improved |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for learning a latent spatial embedding of points in space to a feature space by pretraining on a pretext task eg reconstruction this embedding can the be used as part of any de... | this paper proposes an embedding layer in which points on a model are mapped into a feature space trained using a reconstructionbased pretext task then the resulting embedding layer can be applied to shape data before using different learning architectures for modalities like meshes and point clouds the work is parti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strengths the main strength of this work is its theoretical soundness and the fact that it overcomes the limitations of previous work namely the illconditioned jacobian yielded by their assumptions additi... | the topic of this paper fits well in the workshop and the reviews were positive therefore we have accepted this paper with a spotlight talk for the camera ready paper please take into account the suggestion by one of the reviewers to be more cautious with claims on universal approximations by this model class if it can... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a unified vit compression framework that assembles pruning layer skipping and knowledge distillation as one by adding the sparsity loss and the resources loss into the objective vit mode... | this paper receives positive reviews the authors provide additional results and justifications during the rebuttal phase all reviewers find this paper interesting and the contributions are sufficient for this conference the area chair agrees with the reviewers and recommends it be accepted for presentation |
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