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Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is on spectral reconstruction from snapshot cassi it is based on the linear inverse model and solved by merging modelbased and learningbased methods in the framework of deep unrolling network com...	the paper received mixed reviews with two weak accepts and two borderline rejects making it a borderline case based on the reviews and the rebuttal and on their own reading of the paper the area chair would like to make a few remarks the paper achieves good empirical results in terms of psnr for the task of compressi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the current method proposes a scene generation technique that models explicit knowledge by imposing semantic rules on the objects in the scene it generates meaningful scene layouts and shown to be perform b...	this paper presents a semantically controllable generative framework by integrating explicit knowledge in particular a treestructured generative model is proposed based on knowledge categorization reviewers raised concerns about technical details experiments and missing references in the revised paper the authors provi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: im happy with the revisions the authors have made as i find that they call out the novel contributions a bit more explicitly specifically i see some novel work in the area of simultaneous multitaskmetarl an...	after a healthy discussion between reviewers and authors the reviewers consensus is to recommend acceptance to iclr the authors thoroughly addressed reviewer concerns and all reviewers noted the quality of the paper methodological innovations and sota results
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: please consider this rubric when writing your review 1 briefly establish your personal expertise in the field of the paper 2 concisely summarize the contributions of the paper 3 evaluate the quality and com...	this work provides two contributions 1 brainscore that quantifies how a given networks responses compare to responses from natural systems 2 cornets an architecture trained to optimize brainscore that performs well on imagenet as noted by all reviewers this work is interesting and shows a promising approach to quantify...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a neural network optimized by mlm loss that has inductive bias to be useful for unsupervised constituency and dependency parsing the core component of the neural net is parser that predi...	this paper presents a novel approach to grammar induction like older work by klein and manning the paper finds benefit in jointly inducing both constituency and dependency structure however unlike most approaches to grammar induction the model is not generative rather it is a transformerbased architecture that is trai...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a method that alternates between learning the feature mapping via the inverse dynamics model and using the learned feature to construct the elliptical bonus for exploration the paper also...	the reviewers appreciated the fundamental questions the paper was asking clear writing and argumentation of the paper and convincing empirical experiments while there were concerns about the theoretical rationale of resetting covariance matrix the empirical results show it is indeed important for these reasons i recomm...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposed adamomentum which uses the ema exponential moving average of the square of ema of gradient as sthe denominator while adam uses the ema of the square of the gradient the authors conducted...	the paper proposes to substitute the gradient in the second moment estimation term with the momentumized version arguing that it improves both optimization and generalization some theoretical results are shown as well as empirical results the paper has been widely discussed by the reviewers and several weak points hav...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an new algorithm to simultaneously estimate and maximise empowerment for achieving unsupervised stabilization the method relies on the formulation of a dynamic system as a linear gaussian...	the paper advocates empowerment for stabilising dynamical systems the dynamics of which is estimated with gaussian channels baseline comparisons have improved and that makes the experimental section good while initial versions of the paper were problematic all reviewer issues have been addressed and acceptance is almos...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: i like the idea of this paper however the paper seems to be more written to impress rather than inform i cannot see how it learns simultaneously from raw data i think the interface is in the nnimagevalue...	the paper addresses the difficult problem of combining ilp in a metainterpretive framework with noisy inputs from a neural system the essential idea is to use mil to efficiently search for constraints on the neural outputs eg z1 z2 z3 7 or z2 z3 as well as logic programs with a score related to program complexity ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a method for finetuning pretrained models that ensures the generalization ability of the representation is maintained the key innovation is that the computationally expensive asc...	this paper introduces a pair of related regularizationoriented techniques for finetuning pretrained transformer models for nlp tasks and shows that both are more efficient and more effective than prior work in thorough experiments on a wide range of tasks the techniques are motivated by the idea of representational col...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a framework that learns the dynamic of safetycritical systems the framework makes use of ideas from active learning metalearning and reinforcement learning as far as i understand the fram...	this paper was quite contentious while reviewers appreciated the detailed response by the authors and there is consensus that the paper addresses a relevant problem and contains interesting ideas in the end there remain several concerns the paper provides a complex combination of techniques from active learning meta ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is on topic but it is a bit confusing from what i understand the model is a sequential latent variable model with a conditional normalizing flow decoder and the data sets are sequences of geolocat...	the paper is ontopic for the workshop and considers an interesting application however the reviewers found that parts of the model are not clear the model design could be better motivated and the individual model choices could be better evaluated experimentally although borderline we decided to accept the paper in the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a new method for molecular consisting of a principle subgraph extraction step a fragment prediction step and an assembling step to combine the fragments and obtain the final generated gra...	this paper proposes a molecule generation method using frequent subgraphs there was a positive consensus among reviewers that paper is novel b6na ektl and wellanalyzed b6na esyh and minor suggestions for improved evaluations and presentation ektl esyh were wellhandled during rebuttals to alleviate reviewer concerns
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces two methods for imitation learning from pixel observations based on adversarial learning and optimal transport representation from the rl encoder are adopted for calculation imitation ...	learning policies from video demonstrations alone without paired action data is a promising paradigm for scaling up imitation learning as such the paper is wellmotivated two approaches psil and pdac train rewards for rl training based on learning sinkhorn distances between trajectory embeddings and an adversarial appro...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a computational model for the transformer in the form of a sequence processing programming language named restricted access sequence processing language rasp the paper shows how rasp can...	the paper presents a computational model for transformer encoders in the form of a programming language called rasp shows how to use this language to program tasks solvable by transformers and describes how to use this model to explain known facts about transformer models while the reviewers appreciated the novelty of...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper utilizes randomly wired architectures to boost deep gnns theoretical analyses verify that randomly wired architectures behave like path ensemble and it enables adaptive receptive field experiment...	this paper proposes to use randomly wired architectures 1 in the context of gnns and introduces a method for sampling random architectures based on the erdsrnyi model the authors further include a theoretical analysis and two methodological contributions sequential path embeddings and droppath a regularizer results are...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work presents ganco a framework that extends the training of rl heuristics for combinatorial optimisation problems cops to include an adversarial agent that aims to generate hardtosolve problem instanc...	a brief summary recent works in deep learning have shown that it is possible to solve combinatorial optimization problems cop with neural networks however generalization beyond the examples seen in the training set is still challenging eg generalizing to tsp with more cities than the ones seen in the training set thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces the labour inspection checklists dataset consists of 63634 instances where each instance is an inspection conducted by the norwegian labour inspection authority 575 features are provid...	the paper proposes a dataset on labor inspections where a set of curated features are used to predict inspection checklists and violations the perspective is unique and fresh to the machine learning community and the underlying goal of safe working environment is relevant to everyone the reviewers mostly agree with thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors extend an existing approach to adaptive softmax classifiers used for the output component of neural language models into the input component once again allowing tying between the embedding and s...	there is a clear consensus among the reviews to accept this submission thus i am recommending acceptance the paper makes a clear if modest contribution to language modeling that is likely to be valuable to many other researchers
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the submission studies the phenomenon of the incontext learning behavior of large language models llms two results are presented first the submission argues that incontext learning can be formalized as baye...	this submission introduces a theoretical model to explain how incontext learning ie the ability to output a correct prediction based on inputs for a task that the model was not explicitly trained on is possible the model uses a mixture of hmms and shows that incontext learning is a natural consequence of bayesian infer...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors study error bounds for estimating the solution u of poissons equation delta u f using early stopped gradient descent the function f is observed via noisy measurements yi at random points xi sat...	this paper studies the statistical performance of deep ritz methods drm and physics informed neural networks pinn for solving an inverse problem with respect to elliptic equations as a key example consider the problem of estimating the solution u to poissons equation delta u f given noisy observations of f when the so...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes using a better quantitative metric to conduct an attack on a drl learner the attack is limited to an attack on a state not over multiple states and aims to lower the q value from this st...	most reviewers are positive about this work though they believe it is somewhat incremental and its theoretical contributions are minor none of the reviewers are very excited about this work overall the pc believes this is a borderline paper minor note during the discussions the paper by xiao et al characterizing attac...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper present a spatiotemporal ie 3d version of cycleconsistent adversarial networks cyclegan for unsupervised videotovideo translation the evaluations on multiple datasets show the proposed model is b...	in this work a central idea introduced by cyclegan is extended from 2d convolutions to 3d convolutions to ensure better consistency of style transfer across time authors demonstrate improvements on a variety of datasets in comparison to framebyframe style transfer reviewer pros seems to be effective at enforcing imp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper claims to study outofsample generalization w both unconstrained loss and the fairness consideration while there are multiple theoretical results presented the connection between them could be furt...	this paper establishes the guarantee for the generalization of fairnessaware learning in binary classification under paclearning and a more practical asymptotic framework the paper is nicely written and theorems and proofs are well organized however novelty of the contribution seems to be insufficient a future version ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a spherical gnn approach for effective representation of 3d data point clouds and surface meshes the main ideas are interesting and reasonably well presented the results are convincing ...	the paper proposes to effectively learn representation of 3d data point cloudsmeshes using a spherical gnn architecture over concentric spherical maps a method for converting point clouds to concentric spherical images is also proposed evaluation is done via 3d classification tasks on rotated data strengths interest...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors provide theory for memory capacity at a given classification margin for perceptrons with distributionconstrained weights and that capacity loss from optimum can be phrased as the ...	reviewers appreciate the novel weightdistribution contrained algorithm in spite of reservations about potential impact in comp neuro or ml remain
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper provides a new framework ssystem as a generalization of hierarchal models including neural networks the paper shows an alternative way to derive the activation functions commonly used in practice ...	the paper is extremely difficult to read even given that both reviewers have very strong math theoretical background although it may potentially include interesting ideas nothing in the work could not be understood by the iclr audience
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: 1 the idea of using input dependent randomized smoothing is novel and intriguing 2 empirically the proposed method tends to work well with noticeable improvements on common benchmarks to guarantee soundness...	meta review all reviewers were unanimously in favor of accepting the work recognizing its clarity of presentation novel and intriguing methodology and convincing experiments reviewer bfhi brings up an interesting point about the methods order dependence and the asymptotic data limit but i agree with the authors that t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents the first dataset focused on keyphrase generation for the french language previous works usually relied on unsupervised methods to perform extractive keyphrase generations the authors al...	this paper presents the dataset papyrus consisting of abstracts and keyphrases extracted from institutional reports from the universit de montral the dataset is mostly in two languages and was generated using straightforward yet easily extensible methods for extraction this is one of the first datasets that expands kpg...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents an unsupervised method for generating images in a highlevel domain brush strokes and geometric primitives the proposed system is comprised of two neural networks the drawer d and a forwa...	this paper was reviewed by three experts after the author response r2 and r3 recommend rejecting this paper citing concerns of experimental evaluation and poor quality of the manuscript all three reviewers continue to have questions for the authors which the authors have not responded to the ac finds no basis for accep...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces a variational method for relational learning it first introduces relational learning as learning based on relational property instead of absolute property and introduces conditions eq ...	this papers studies the classical problem of relational learning from a probabilistic perspective the authors propose four reasonable constraints to encode relational properties and develop a pgmbased variational method for learning relational properties from data after extensive discussion with the authors a majority ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies fewshot learning from the viewpoint of transferring feature representations the authors investigate fewshot performance with varying complexities of source tasks together with a few empir...	this work studies a number of feature representations for fewshot classification including representations learned from maml supervised classification and some selfsupervised tasks the main conclusion of the study is that learning from more complex tasks result in better representations for fewshot classification as a ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper tackles the problem of conditional generation of molecular conformations ie 3d cartesian atom positions given a molecular graph the authors formulate the generation process via diffusion probabil...	the authors focus on the conditional generation of molecular conformations ie 3d cartesian atom positions from a given molecular graph they formulate the generation via diffusion probabilistic models conformations are generated by a reverse diffusion process from isotropic gaussian noise to molecular conformations thi...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper presents that visual transformers vits are not sensitive to patch transformations eg shift rotation it thus presents an idea that patch transformations can be used as negative augmentations to tr...	the reviews are split the most significant concern seems to be the narrow focus of the paper insensitivity of a very specific architecture vit to some patchbased transformations of the image the paper aims to understand and improve the behavior of vits in this respect but as the reviewers point out the understanding wh...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies contextual linear bandits with communication constraints where it is desired to transmit as few number of bits as possible from the agent to the learner the authors considered two differe...	the reviewers are overall positive about the theoretical contributions of the paper for which i share the same generally positive evaluation 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: the authors set out to understand why some diagonal variants of the s4 statespace model work well then introduce s4d as a specific approach building off of dss their main mathematical result shows that a pu...	all reviewers agree that the paper proposes an interesting approach to examine diagonal state space models although some reviewers have some technical concerns at their first reviews basically those have been resolved by the authors responses thus although there are some points that should be modified from the current ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: motivation of the work is clear second opinions as resource allocation problem and well illustrated by example in the medical domain well written and structured good plots also intuition behind some math is...	meta review this paper applies counterfactual inference in an original way with the goal of predicting the opinion of experts other than those used in a ml problem for instance to define the labels in a classification problem this has the advantage of helping with deciding whether a second opinion is needed and more ge...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper is wellwritten with the main points supported by experiments the modifications to gem are a clear computational improvement one complaint the a in agem could stand for averaging over all task lo...	pros great work on getting rid of the need for qp and the corresponding proof of the update rule mostly clear writing good experimental results on relevant datasets introduction of a more reasonable evaluation methodology for continual learning cons the model is arguably a little incremental over gem in the end...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper shows that complex building blocks such as selfattention layers need not be trained from start instead one can save in compute time while gaining in performance and robustness by initializing the...	the paper proposes a method to accelerate training of an architectural hybrid of transformers and cnns first train a cnn and then use the learned parameters to initialize a more general transformed cnn tcnn model subsequently continue training the tcnn reviewers ratings are marginal with three marginally above thresho...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes to study three formulations memtransformer memctrl and membottleneck of memoryaugmented selfattention transformers and investigate the influence of adding memory tokens to the mo...	the paper studies three kinds of memoryaugmented transformers focusing on one the memtransformer which adds mem tokens to a document this is a nice clean extension of transformers and a topic well worth investigating unfortunately the experimental results were considered unconvincing the baselines were relatively ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: update after response the authors have quite thoroughly addressed most of my concerns with updates and new experiments so i will increase my score to an accept at this point summary the authors conside...	it appears that this paper can benefit from additional detail and work before it becomes a stronger publication that is more convincing the authors have done an impressive job responding to the reviewers and updating their paper and multiple reviewers raised their score consequently however while multiple reviewers now...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: post rebuttal i thank the authors for their responses and additional experiments i understand that the focus of the paper is the crosssilo setting however one of the key questions of an empirical study is ...	this paper proposes a modelagnostic fl method called fedkt that performs only one communication round and reduces the communication complexity of federated learning the reviewers have the following concerns about the paper limited novelty because the proposed method is directly based on pate insufficient experiments ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: contributions the authors study a new kind of problem the robustness of fewshot learners against adversarial attacks the paper propose a new metalearning algorithm adml that uses adversarial and clean ...	the paper proposes a new metalearning algorithm which promises greater robustness to adversarial examples i will be brief as the fault with the paper is quite clear the experimental results are not sufficient the attack used fgsm is particularly dated and weak and the comparison to existing defences is insufficient add...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new framework to unify two streams of fewshot learning methods the episodicc metalearning and pretrain finetunebased fewshot learning besides a new metadropout strategy is proposed to i...	this work proposes an approach to unify pretrainingbased and metalearningbased fewshot learning inspired by dropout none of the reviewers support the acceptance of this work despite the authors detailed rebuttals with the majority of reviewers confirming their preference for rejection following the author response i...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes a framework for using robot experts to teach human users to optimize collective rewards in collaborative tasks this type of machine teaching is novel in that in this scenario the robot is...	post discussion review the rebuttal does a good job of taking the reviewer comments seriously and using them to improve the paper the authors even went so far as to upload a revised manuscript with their changes additionally they also engaged in a series of detailed discussions with the most critical reviewer the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper is about feature selection in a weakly supervised setting using a background and target dataset and the goal is to learn features that are specific to the target dataset the paper formulates the ...	this paper received a majority voting of rejection during the internal discussion all reviewers insisted their original scores i have read all the materials of this paper including manuscript appendix comments and response based on collected information from all reviewers and my personal judgement i can make the initia...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the correlation clustering problem under edge differential privacy constraints in the correlation clustering problem given a complete graph with and labels on the edges the goal is to p...	the paper gives a new algorithm for correlation clustering in the edge differential privacy model ie two graphs are neighbor if they differ by one edge the problem has been studied extensively in the nonprivate setting and there are several previous works on the problem in the private setting the new algorithm has near...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors studied the objectcentric robustness of various instance segmentation models they used stylized objectsbackground to evaluate the performance which is adopted from a work by geirhos et al 1 the ...	this paper finally received divergent and borderline reviews with two positive 6 and two negative 3 rates after the thorough reviews by acs ourselves we would like to decide to reject this work at this time even though this submission has a lot of potentials including intensive analyses on instance segmentation framewo...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper describes a dual solver for neural network verification in particular the authors consider a linear relaxation of neural networks with relu activations and develop an active set based method nume...	dear authors as you have noticed this paper was not easy to review i have hence invited 2 additional reviewers which i strongly respect and are very knowledgeable after carefully reading the paper myself i have to agree with one of the reviewers who said it your paper makes a good contribution to the literature to b...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: humans can rapidly learn from current experience as well as utilize information accumulated over longer periods this paper tried to suggest 2 benchmarks describing each case and analyze the tradeoff between...	the two presented benchmarks for humanlike realtime and lifelong learning by incorporating perspectives from shortterm and longterm knowledge acquisition and retention are highly interesting and useful for further research in the area of unsupervised humanlike learning the work is very well written and presented
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 understand this seems to be the first machine learning work that addresses an important but less known clinical problem classifying trichiatic eyelashes the evalu...	after reading the original manuscript the reviewers comment the authors rebuttal and the new submission i will follow the opinion of the majority and recommend to borderline accept this paper i agreed with the reviewers that a better evaluation strategy and a betterrigorously description of the data and the method need...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a new framework of population learning that optimizes a single conditional model to learn and represent multiple diverse policies in realworld games experiments on mujoco football and ...	the authors propose a new framework of population learning that optimizes a single conditional model to learn and represent multiple diverse policies in realworld games all reviewers agree the ideas are interesting and the empirical results are strong the meta reviewer agrees and recommends acceptance
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors proposed a data augmentation approach to improve the conditional set generation task the topology sort is used to recovers the informative orders of labels and set cardinality is a...	in this paper the authors propose a method to generate sets which are order invariant with a sequencetosequence model the main idea is to order the elements of the sets and then treat them as regular sequences the authors propose to use pmi and conditional probability to obtain a partial order on the elements of sets o...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: review for on learning heteroscedastic noise models within differentiable bayes filters the method revisits bayes filters it evaluates the benefit of training the observation and process noise models whil...	this paper shows experiments in favor of learning and using heteroscedastic noise models for differentiable bayes filter reviewers agree that this is interesting and also very useful for the community however they have also found plenty of issues with the presentation execution and evaluations shown in the paper post r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the problem of knowledge base kb reasoning and propose to learn new concepts via clustering vectorized propositionalized entities and use the resulted entityconcept membership information...	this paper investigates the learning of novel concepts in kgs via unsupervised entity clustering used for the augmentation of edge prediction models while reviewers had some questions as to the strength of the experiments thoroughness of baselines strength of results above baselines the novelty of methods proposed and ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: authors propose a decoder arquitecture model named subscale pixel network it is meant to generate overall images as image slice sequences with memory and computation economy by using a multidimensional upsc...	all reviewers recommend acceptance with two reviewers in agreement that the results represent a significant advance for autoregressive generative models the ac concurs
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: to overcome statistical heterogeneity among data shards in collaborative federated learning this paper proposes a novel personalization schema which only requires smaller memory footprint in clients and pos...	dear authors i have read the reviewers and your careful rebuttals i would have liked to see much more engagement from the reviewers however even after your rebuttal no reviewer suggested acceptance with two reviewers proposing reject 3 and two proposing weak reject 5 the reviewers found the paper well written i concu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies the the problem of objective mismatch problem in modelbased reinforcement learning which states that the goal of the model is different from the goal of policy optimization to solve this ...	the reviewers agree that the proposed method of joint modelpolicy optimization using a lower bound is novel and interesting and worthwhile pursuing but all reviewers find a variety of issues in the paper such that ratings are just above borderline or below given all the mixed feedback it appears that the paper is still...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors expend the linear diffusions of sdes to a dataadaptive trainable nonlinear diffusion they propose a new model implicit nonlinear diffusion models indm to train its forward diffusion sde the prop...	the paper presents a novel nonlinear diffusion model that transforms a linear diffusion in a latent space using normalizing flows after the discussion period three reviewers rated the paper a weak accept and one as accept overall reviewers found the main idea of training flows in this latent space to be novel and inter...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper works on longtailed classification the authors conducted an analysis and claimed that the difference of gradients computed on the head and tail classes plays an important role in the per...	the paper received mixed reviews reviewers were concerned about the clarity of the presentation including both the analyses of gradients and the approach some reviewers also suggested improvements to the experiments the two reviewers who gave a rating of 6 liked the gradient perspective to the longtailed recognition bu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new ood detection method that is provably robust against perturbations to ood inputs this method called prood has several desired properties including high detection performance as wel...	the paper considers the task of ood detection facing adversarial manipulations it shows two existing defenses can be broken it then proposes a method called prood to construct a classifier with both provability and high clean accuracy and prove that it avoids asymptotic overconfidence the paper studies an important t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary fake content produced by generative models is of great concerns this paper investigates attribution techniques to identify models that generated the content the key theoretic result is the derivati...	this paper proposes a decentralized attribution method to distinguish the generative models trained on the sample dataset the key theoretic result is the derivation of the sufficient conditions for decentralized attribution and the design of keys following these conditions results are validated on two datasets with sev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work suggests a noisecontrastive loss for variational information bottleneck networks to resolve the poor performance at separating correct and incorrect predictions in regularization methods standard ...	the paper proposes a classification method that improves model calibration using variational information bottlenecks and a noisecontrastive loss unfortunately the authors were not able to participate in the discussion of the paper with the reviewers given this the reviewers raised several unaddressed concerns first it...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper introduces the reddit photo critique dataset rpcd a new dataset of 74k highresolution images and 220 associated comments from photography groups on reddit an aesthetic score judgment is assigne...	this paper introduces a new dataset for critiquing photos mining 74k from the rphotocritique subreddit and an algorithm for transforming the reddit comments into a judgement score between 01 they then introduce the task of predicting these judgement scores from the images all reviewers find this to be a useful contribu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper derives a fenchel duality formulation of the maximum likelihood loss of f1ebms which turns the optimization into a minmax problem on probability measures over the sample space a dual algorithm wi...	in this paper the authors generalized the fenchel duality formulation of the maximum likelihood for f1ebm which leads to a minmax optimization formulation meanwhile the optimization reveals a new connection between primaldual mle with score matching these contribution is significant and make the paper interesting to th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a new bound as the objective for variational inference the bound combines the recent progress of thermodynamic variational object which gives a tighter bound than the conventional elbo an...	the four reviewers believed the paper was below threshold for acceptance to iclr they raised concerns with the experimental evaluation and thought that the paper could benefit from another edit to help with the clarity
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a new classificationbased evaluation approach for knowledge base completion models they create new devtest sets by adding negative examples created by a combination of filtering ...	this paper proposes a new evaluation for kbc where models need to decide whether to accept a new fact instead of simply ranking the possibilities the main contribution of this work is the wellmotivated evaluation that is better aligned with how these models would in practice be used downstream there is a secondary cont...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper studies a very interesting new problem of assessing unrolled models in a broader context using nas methods listastyle unrolling has been popular for deep learningbased inverse problems but it is ...	the paper initially received mixed ratings with one reviewer strongly supporting the paper given that the idea of combining unrolled algorithms and nas is new and interesting and one reviewer not convinced by the significance of the results hisher main concern was the use of synthetic data only which is not realistic t...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors propose a regularizer placed on the final linear layer of invertible networks that penalizes confident predictions leading to better generalization the algorithm is theoretically grounded and e...	this paper proposes an approach to regularizing classifiers based on invertible networks using concepts from the information bottleneck theory because mutual information is invariant under invertible maps the regularizer only considers the latent representation produced by the last hidden layer in the network and the n...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper provides a meta learning framework that shows how to learn new tasks in an interactive setup each task is learned through a reinforcement learning setup and then the task is being updated by obs...	the paper proposes a metalearning approach to language guided policy learning where instructions are provided in the form of natural language instructions rather than in the form of a reward function or through demonstration a particularly interesting novel feature of the proposed approach is that it can seamlessly inc...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary learning embeddings of graphs in hyperbolic space have become popular and yielded promising results a core reason for that is learning hierarchical representations of the graphs is easier in hyperb...	dear authors the reviewers all appreciated the treatment of the topic and the quality of the writing it is rare for all reviewers to agree on this congratulations however all reviewers also felt that the paper could have gone further in its analysis in particular they noticed that quite a few points were either menti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes a novel rnn architecture cornn to tackle the infamous problem of vanishing and exploding gradients in rnns the novel cornn architecture is based on timediscretized forced coupled damped n...	a novel second order nonlinear oscillator rnn architecture is proposed analyzed and evaluated in this paper the results are solid and impactful authors and expert reviewers showed exemplary interactions with each other improving the manuscript in significant ways all four reviewers overwhelmingly recommended accept i r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper examines gradientbased attribution methods that have been proposed in the explainability literature from a theoretical perspective motivated by a recent observation in energybased generative mode...	this paper studies why input gradients can give meaningful feature attributions even though they can be changed arbitrarily without affecting the prediction the claim in this paper is that the learned logits in fact represent class conditional probabilities and hence input gradients given meaningful feature attribution...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a novel approach to improve selfattention through by bridging the attention maps from different layers via a chain of convolutionbased prediction modules in particular it proposes to au...	multiple reviewers point out the interesting improvement to mix attention maps at different layers via convolution based prediction modules this module is sufficient to show improvements only on encoder side while comparing to concurrent work synthesizer however the novelty of the work is limited as compared to other p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work proposes adversarial robust policy optimization arpo that trains a generator to transfer the observation style so that policy taking different actions the policy optimizes the longterm reward plus...	i thank the authors for their submission and active participation in the discussions this papers is borderline with reviewers wxxr and ek4b leaning towards acceptance and reviewers f6jt and fv5x leaning towards rejection on the positive side reviewers remarked that the paper is interesting fv5x and novel fv5xf6jtek4bwx...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents a method to embed priors for motor functions to artificial neural networks the authors demonstrate a rather simple example of using architecture of celegans to control swimmer in mujoco c...	this paper introduces the use of neural circuit architectural priors to build controllers for a physically simulated celeganslike swimmer implemented in mujoco as part of the deepmind control suite by leveraging the bioinspired architectural priors the controller starts with structured behavior rather than highly errat...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper proposes a new vae framework for semisupervised problems which uses the latent representation z to reconstruct input image x and to serve as the features for the classification of the la...	this paper presents a semisupervised model named cpcvae that trains a variational autoencoder vae and a nn classifier simultaneously the method maximizes an elbo subject to a taskspecific prediction constraint and a consistency constraint the constraints are defined as some expectations of the variational posteriors su...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors provide a simple yet effective extension of the recently proposed marginal feature importance criterion that allows a fast and accurate estimate of the marginal importance of each feature in the...	this work makes a significant contribution to establishing the theoretical foundations for feature importance the authors suggest a set of axioms that a feature importance score should have and introduce an algorithm that computes a feature importance score that has these required properties in addition to the theoreti...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents plad an anomaly detection methodology that relies on perturbations of the original data with the goal of learning to separate the perturbed data from the original which helps in the detec...	this paper proposes an anomaly detection approach that learns perturbations directly from the normal training data although the reviewers are concerned about the novelty and depth of the approach they appreciate the comprehensive experimental results therefore i recommend acceptance for the paper
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the paper proposes a new gan method that applies the quantile regression of reinforcement learning into gan and aims to show this helps to estimate the 1wasserstein distance better without gradi...	all the reviewers agree that this paper was poorly written which i agree upon my own reading of this paper section 1 is rather telegraphic and difficult to comprehend section 2 is cryptic in several respect including what space of probability distributions the authors consider the wasserstein distance what qr task the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper introduces convolutions with continuously parametrized kernels for sequential data continuous kernel convolutions ckconv for short parametrize the kernel associated to a convolutional layer as a c...	this paper introduces a convolution where the kernel is parametrised continuously over time in the context of recurrent networks to address vanishing gradients issues by using another neural network to generate the kernels this is a meaningful idea addressing an important problem the paper is well written and clear the...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the authors demonstrate that it is possible to transfer across modalities eg imagetoaudio by first abstracting the data with latent generative models and then learning transformations between latent spaces ...	this paper studies the problem of heterogeneous domain transfer for example across different data modalities the comments of the reviewers are overlapping to a great extent on the one hand the reviewers and ac agree that the problem considered is very interesting and deserves more attention on the other hand the rev...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper about cooperative language acquisition the authors try to tackle the problem of trying to learn a new agent sender or listener which can adapt to a given community of sender or listener usin...	reviewers agree that the authors propose an interesting new framework for learning adhoc communication there are some recommendations of improved baselines but both reviewers seem excited by the idea and we look forward to having the authors discuss this at the workshop and get important feedback on their work
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes a new approach to compress neural networks by training the students intermediate representation to match the teachers the paper is easy to follow the idea is simple the motivation and c...	the authors propose a method for distilling a student network from a teacher network and while additionally constraining the intermediate representations from the student to match those of the teacher where the student has the same width but less depth than the teacher the main novelty of the work is to use the interme...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper develops a system to generate a complete and realistic human pose based on a sparse set of inputs such as lookat direction and endeffector positions it proposes a prototypical residual network du...	this paper proposes a novel representation for pose authoring and was uniformly lauded by all reviewers the ac concurs this paper is far above the threshold for acceptance at iclr
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the papers core contribution is to extend randomized smoothing to a setting where the smoothing depends on the input data that is the variance of the smoothing distribution is not constant anymore but depen...	the idea to adapt the noise variance in the certification of a base classifier sounds natural and interesting but unfortunately fundamentally flawed as correctly pointed out by reviewer vifi also acknowledged in the authors response the authors main algorithm does not lead to any theoretical certification while the emp...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes aligned dual gradient pruning adgp as a defense against gradient inversion attacks a gradient inversion attack takes the gradient nabla w x and the model w and attempts to reconstruct t...	this paper proposes a method for defending against gradient inversion attacks a gradient inversion attack attempts to reconstruct the training data from the model and its gradient gradient inversion attacks have been performed in practice which demonstrates that sharing gradients rather than raw data provides limited p...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary the authors propose a benchmark of biologically plausible anns on the mnist dataset with an emphasis on local learning rules ruling out backpropagation and enforcing small receptive fields they find...	this paper presents a biologically plausible architecture and learning algorithm for deep neural networks the authors then go on to show that the proposed approach achieves competitive results on the mnist dataset in general the reviewers found that the paper was well written and the motivation compelling however th...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: incorporating physicsinformed inductive bias especially hamiltonian and lagrangian dynamics into deep neural networks has been the focus of a fastgrowing body of work over the last few years this paper has ...	this paper examined physicsinspired inductive biases in neural networks in particular hamiltonian and lagrangian dynamics the work separated the benefits arising from incorporating energy conservation the symplectic bias the coordinate systems and secondorder dynamics through a set of experiments the paper showed the ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper presents an interesting application of techniques from algebraic statistics which have so far been mostly of theoretical interest to researchers this work shows that they could be used for causal ...	meta review this paper proposes a causal discovery method based on higherorder cumulants for cases where the causal structure graphs are polytrees the theoretical guarantee was provided the performance was evaluated by artificial data experiments it was compared with other relevant methods in the authors feedback not...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this work the authors propose the finite volume neural network to solve advectiondiffusion partial differential equations the authors define a flux kernel as the sum of subkernel fi on each element and t...	thank you for your submission to iclr there is some disagreement about this paper and several of the reviews are of relatively low confidence while i appreciate the effort that the authors have put into addressing the concerns of the reviewers after going through the paper and the responses myself im ultimately comin...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this papers main contribution is the proposed standardized performance evaluation protocol for cooperative marl specifically this paper performs metaanalyses and identifies the following potential issues in...	this paper performs a metaresearch on cooperative marl research identifies three main issues and proposes a standard evaluation protocol all the reviewers agree that the paper is well written provides interesting perspectives and recommends reasonable solutions a common concern that was shared by all reviewers is that ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper studies butterfly networks where a logarithmic number of linear layers with sparse connections resembling the butterfly structure of the fft algorithm along with linear layers in smaller dimension...	this paper shows that linear layers can be replaced by butterfly networks put simple the paper follows the idea of sketching to design new architectures that can reduce the number of trainable parameters and also gives the theoretical and empirical analysis to validate this claim in this regard the paper would be appe...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this work develops an algorithm for gp inference with constraints through a novel analytical update rule for an additive variant of gp inference an active set technique for which model points to retain is d...	this paper deals with the problem of regression with an additive gaussian process prior and a linear inequality constraint a finitedimensional approximation is proposed to the gaussian process in terms of a linear combination of triangular basis functions with gaussian weights the weights are then estimated by solving ...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors propose a new algorithm called stochastic gradient descent with energy and momentum sgdem for nonconvex stochastic optimization problems the idea of energy variable is from the wor...	the reviewers have the following concerns 1 the theoretical results for the proposed method are weak theorem 42 cannot be considered as a convergence result because the bound depends on some random variables rti the reviewers agree that a proper analysis would require some knowledge on the lower bound of these variable...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: this paper proposes to embed static feature maps into a larger linear space and shows that the proposed method achieves good performance on standard benchmarks detailed proofs and theoretical results are gi...	the paper uses free algebras for sequential data representation and two of the reviewers and the ac find this highly innovative there were numerous small issues brought up by reviewers and reviewers disagreed some on the presentation in particular r3 asking about the experiments some of which were addressed in the rebu...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes to place a bayesian prior on the distribution generated by a deep network instead of the traditional approach in bayesian deep learning where the prior is placed on the weights the choic...	all reviewers agree that despite some presentation flaws the work pursues an interest direction and provides a new interesting perspective while i understand some of the more serious concerns raised by rev 3 in terms of lack of detail or the paper being half baked i also think that one also needs to factor in the shor...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: in this paper the authors provided a study on how to effectively utilize the existing active learning al methods specifically the authors conducted experiments on the performance of different al approaches ...	the authors study the training settings that may affect active deep learning performance including codewarm start leveraging unlabeled data and initial set selection for each active learning strategy the findings on several data sets help understand al more with some pieces of insights to inspire future research the r...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: the paper proposes an unsupervised neurosymbolic generative model for generalpurpose pendrawingdoodling frames as a sequential composition of strokes analyze the model and explore its benefits in terms o...	the paper presents dood an unsupervised approach for strokebased generation of line drawings and handwritten characters which the authors show outperforms other methods in generalization and interpretability the reviewers agree that this is an innovative and useful contribution and is wellexpressed in the paper some co...
Below is given review of a research paper from cnoference journal. Please write a summary the review. ### Review: summary this paper designs a new loss called sunctt to speed up the convergence of semisupervised training specifically the loss involves the computation of similarity between anchor and other images with t...	the paper proposes to speedup selfsupervised learning for semisupervised learning by combining selfsupervised pretraining and supervised finetuning into a single objective the proposed supervised loss builds on neighbourhood components analysis and soft nearest neighbor losses most reviewers are concerned about the nov...

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