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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a gnn model based on a weighted line graph which adds weights to the line graph for the original input graph in a nodegraph property prediction task the line graph is a graph built on the... | the paper proposed a gnn model based on a weighted line graph dual of the input graph where information is simultaneously propagated on both graphs coupling the two propagations at each step overall the reviewers were lukewarm about the paper with some raised criticism including limited novelty in light of monti et... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a metalearning framework to optimize controllers with safety constraints with bayesian optimization to this end the authors build on recent work for tuning gaussian process parameters an... | please check the comments of the reviewers in detail strengths the paper is very well written and clear the topic is important for robotics promising experimental results in simulation weaknesses evaluation in 2 2dimensional functions and 1 simulated robot 3dimensional problem most problems in robotics are high... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe authors propose an initialization method called random asymmetric anticorrelated initialization raai which initializes residual networks in an expressive subspace of weights raai is a combined ini... | the paper proposes an initialization method to initialize residual networks in an expressive subspace of weights although the reviewers highlighted some positive aspects they found the contribution to be limited compared to prior work some reviewers also raised some concerns regarding the experimental results not backi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates kernel ridgeless regression from a stability viewpoint by deriving its risk bounds using stability arguments to derive risk bounds have been widely adopting in machine learning howev... | the paper investigates the average stability of kernel minimal norm interpolating predictors the main result establishes an upper bound on a particular notion of average stability for which it is wellknown that it can be used to bound the generalization error this upper bound holds for all interpolating predictors f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a method and benchmark for outofdistribution modeling and evaluation of human motion they evaluate against stateoftheart human motion methods and show favorable performance again... | this paper proposes a method for outofdistribution modeling and evaluation in the human motion prediction task paper was reviewed by four expert reviewers who identified the following pros and cons pros new benchmark for testing out of distribution performance r1 compelling performance with respect to the baseline... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper demonstrates a simple baseline rangebased 3d detector for multiframe inputs which shows the potential way to achieve efficient 3d detection compared with current bev pipelines experiments show th... | after the rebuttal and discussion two reviewers recommend acceptance one rejection in their rebuttal the authors were able to convincingly resolve all issues raised thus the ac sees no reason to reject this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an approach called voicefixer which is aimed at restoring degraded speech signals the paper considers a variety of speech degradations additive noise reverberations clipping and limited ... | paper this paper addresses the problem of learning methods for general speech restoration which generalizes across at least 4 tasks additive noise room reverberation lowresolution and clipping distortion the proposed approach is based on a twostage process which includes both analysis and synthesis stages discussion ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel class of random features and provides concentration bounds on the approximation properties for the resulting kernel matrices the main motivation is to have positive random feature... | the primary motivation of the paper is the scalable training of transformers particularly their efficient softmaxattention approximation 3 as a classical approach relying on trigonometric random fourier features rff does not guarantee positivity which makes the training of transformers unstable the authors consider non... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve combinatorial optimization problems with unknown parameters that need to be predicted from observations it proposed a total group preorder loss and its differential version approxim... | this paper studies the problem called predict then optimize pto where the goal is to predict some unknown parameters in the objective function and then optimize the function the paper focus on special case of pto where the goal is to learn the unknown parameters corresponding to some combinatorial ordering of the data ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends transformer by recursively applying a multihead selfattention block rather than stack multiple blocks in the vanilla transformer an extra transition function is applied between the recurs... | this paper presents universal transformers that generalizes transformers with recurrent connections the goal of universal transformers is to combine the strength of feedforward convolutional architectures parallelizability and global receptive fields with the strength of recurrent neural networks sequential inductive b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers sgd with momentum and classical sgd if momentum coefficient is equal to zero and provides lastiterate convergence rates for such an algorithm with i allowing for the bigger stepsizes and... | the paper studies msgd and sgd methods and provide convergence under weaker requirement on stepsizes the reviewers in general agree that the result is novel has interesting techniques and is above bar for neurips publication however the paper should tone down its claim about advantage of large step size as it is most... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method for using realworld patient data to generate semisynthetic privacypreserving data on which to evaluate methods for causal effect estimation for this purpose they adapt the adsga... | in this paper the authors propose a method for generating high quality synthetic datasets and use their methods to evaluate a variety of causal effect estimators in general the paper was not received very favorably by reviewers the primary concerns were a issues with builtin bias in the algorithm that generates synth... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a way of leveraging the lowrank structure of the generalized gaussnewton ggn matrix and a library that extends backpacks features in order to efficiently compute the spectrum eigenval... | a method for efficient exact computation of the generalized gaussnewton matrix is given using this method the authors provide several empirical observations of first and second order statistics of neural networks during training additionally the authors use to tool to propose a new damping technique that some reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new approach for generalized openset recognition osr in classification setting where the idea is to build a model which could simultaneously detect unknown classes and maintain the acc... | this paper tackles the openset recognition problem specifically the subset that looks at rejecting test data that with unknown classes that are related to the training data the proposed approach uses an existing distancebased classifier based on lda combined with a new background class regularizer results comparing to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes to use evolutionary computation to search for optimal activation functions tailored to a given architecture the proposed pangea method practically reimplements a partial genetic ... | the paper proposes the idea of searching parameterized activation functions in contrast to the previous handcraft or learnable ones it may be a counterpart of neural architecture search pros 1 the idea is very interesting 2 the paper is well written 3 the experiments show improvements over baseline activation function... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper employs rapid motor adaptation to tackle the problem of policy generalization in inhand manipulation tasks the paper mainly describes results from a new experimental setup of inhand manipulation g... | this paper describes a system that is trained in simulation to manipulate cylindrical objects then it generalizes to manipulate a variety of objects in the real world with no finetuning it uses a lowdimensional representation of the object shape as perceived by the robots finger tips to achieve this strengths address... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i enjoyed the reading the paper and believe it is interesting and important work that will definitely inspire further research the paper is clear and mostly well organized my main concern is the lack of gr... | thanks for your submission to the workshop summary this paper presents a framework for adapting the level of explicabilityexplanation of an agents plans with respect to a supervisor as the supervisors trust in the agent varies the reviewers agree that the paper presents interesting work and that the topic is relevant... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a method to improve reinforcement learning for task with sparse rewards signals the basic idea is to select the best episodes from the systems experience and learn to imitate them step ... | this paper proposes a reinforcement learning approach that better handles sparse reward environments by using previouslyexperienced rollouts that achieve high reward the approach is intuitive and the results in the paper are convincing the authors addressed nearly all of the reviewers concerns the reviewers all agree t... |
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 presents cogview2 which aims for faster and better text2image generation based on its previous work cogview the key idea is to adopt the spirit of coarse to fine and generate lowresolution tokens... | this paper describes a less autoregressive approach for texttoimage generation reviewers were somewhat split with one reject and one strong accept overall the results the authors get are perhaps less compelling given the progress the field has made over the past few months since submission time but i think the focus on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall this is an excellent paper its findings are relatively modest but that is because it takes on a very difficult challenge to characterize the optimality of human causal exploration it has a relative... | thank you for your submission to clear this paper presents a study of children investigating the workings of the bicket machine finding that they seem to make use of causal overhypotheses to structure their explorations the paper discusses potential implications for rl exploration and additional thanks for your detaile... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provide a new online bidding algorithm using reinforcement learning and a safety function to accommodate the mismatch between online and offline data iboo challenge in the paper th... | the authors address the issue of inconsistencies between modeled and training data for auto bidding rl policies and demonstrate the efficacy of their approach both analytically and experimentally |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper develops a deep ensemblebased gaussian process model and a variational inference procedure to train it as a result the authors obtain a method for improved uncertainty and predictions with deep en... | this paper proposes to use deep ensembles to parameterize a variational gaussian process posterior and uses an additional l2 penalty on parameters of the neural networks and an mc nngp prior although the prior is a free design choice reviewers appreciated aspects of the paper finding there to be a minor improvement in ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary this paper presents a method of learning word embeddings for the purpose of representing hypernym relations the learning objective is the sum of a a measure of the distributional inclusion d... | all reviewers voiced concerns regarding the comparison to recent related work however in my view the authors addressed these concerns well in their revision comparing directly against poincar embeddings and lear while the comparison reveals mixed results with respect to lear i believe this work is well executed and of ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use active set of causal edges instead of auxiliary context variable or domain index to characterize nonstationary causal relations in data in addition the authors propose sufficient ... | this paper proposes a metastructural causal model framework to increase the representation capability of structural equation models it also considers how to connect data to mechanisms the paper is conceptually interesting however on the technical side reviewers feel that without supporting proofs or empirical experimen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses universal domain adaptation unida for object recognition target sample is classified as either one of the known classes or unknown this work proposes an addon strategy that helps improv... | this submission deals with universal domain adaptation for object recognition the authors propose to extend existing strategies with an original and effective complementary strategy thus achieving sota performance in this context their first proposal aims to align domains while avoiding the risk of negativetransfer wor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose to use the worstcase population loss with bounded wasserstein distance over noisy inputs as a robustness metric they provide a tractable upper bound serving as a robustness cer... | the authors present a framework for deriving distributional robustness certificates for smoothed classifiers under perturbations of the input distribution bounded under the wasserstein metric several authors raised concerns regarding the correctness of results presented in the initial version of the paper while these... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose an extension of the work aabbas and pswoboda fasddog 2022 new algorithm includes graph network which allows to learn parameters for nonparametric update and parametric step of fastdog 2022 ... | the presented paper introduces dogetrain method that targets discrete optimization problems it allows finding solutions for discrete problems utilizing gpus this is achieved by pretraining on smaller size instances and then hoping it would also generalize for larger instances that are coming from a similar family of pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a problem related to a topic of wide concern in recent years i am concerned that this paper does not fit into the scope of uai i would encourage the authors to send this work to venues fo... | meta review the papers does as advertised an analysis of a variant of the popular sir model including the modeling of multicountry interaction its a result interesting in itself particularly if we reflect on how much the sir models were referred to during the early stages of the covid pandemic concerning whether it fit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors provide a theoretical and empirical analysis of the generative adversarial training method gat which is used to train models for ood and adversarial example detection the gat meth... | this paper conducts a theoretical and empirical analysis of the generative adversarial training method gat although many comments have been addressed in the rebuttal the reviewers still have few but important concerns including the memorization effects and the lack of comparisons |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigated the quality of lsh binary coding for efficient nearest neighbor retrieval they proposed a simple strategy to extract binary codes from random fourier feature rff and designed a new me... | this was a borderline paper with three mostly positive reviews and one somewhat negative review some of the concerns raised by the reviewers include marginal contributions as well as some issues with the empirical results though some reviewers felt the results were strong it does seem that at least the first reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach for generating dangerous driving scenarios by editing vanilla driving scenarios in av datasets the efficacy of the approach is validated by a user study with 100 participants... | the reviewers have mixed attitudes toward this paper the paper focuses on an important question that is closely related to the subject of the workshop while the paper is quite complete the reviewers pointed out several issues of this paper the main ones are the lack of novelty and clarify we eventually decided to accep... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper addresses machine reading tasks involving tracking the states of entities over text to this end it proposes constructing a knowledge graph using recurrent updates over the sentences of t... | this paper investigates a new approach to machine reading for procedural text where the task of reading comprehension is formulated as dynamic construction of a procedural knowledge graph the proposed model constructs a recurrent knowledge graph as a bipartite graph between entities and location nodes and tracks the en... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a textbased robot instruction following benchmark where the instructions have different levels of ambiguities and the agent needs to resolve them via understanding both human intention a... | the authors presented a new textbased benchmark environment where agents are challenged to follow ambiguous instructions to help humans achieve their goal review summary strengths almost all reviewers agreed that the paper provided an important novel contribution by focusing on a benchmark for collaborative agen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes to combine two ideas from previous publications fishergan and deligan ie use a mixture noise deli with fisher ipm metric for training gan the extension of the previous work is trivial an... | this paper combines two recently proposed ideas for gan training fisher integral probability metrics and the deligan as the reviewers have pointed out the writing is somewhat haphazard and its hard to identify the key contributions why the proposed method is expected to help and so on the experiments are rather minimal... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an approach for learning policies across multiple mdps and using those policies to improve learning performance on the task that the agent designer cares about the approach assumes that... | summary this paper proposes an interesting idea where additional auxiliary tasks allow an agent to more quickly learn in a sparse reward task comments the authors may want to look at parallel multienvironment shaping algorithm for complex multistep task httpswwwsciencedirectcomsciencearticleabspiis092523122030655x a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the error of tensor train decomposition via cross approximation is analyzed the cross approximation of tensor train decomposition is an analog of cur decomposition for a higherorder tensor the... | the reviewers agree that the theoretical result shown in the paper improves upon prior art and that the experiments are compelling all comments and concerns of the reviewers have been well addressed by the authors |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a mixture of hierarchical bayesian models for metalearning to modulate transfer between various tasks to be learned a nonparametric variant is also developed to capture the evolution of ... | this paper is extending the metalearning maml method to the mixture case specifically the global parameters of the method are now modeled as a mixture the authors also derive the elaborate associated inference for this approach the paper is well written although rev2 raises some presentation issues that can surely imp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new model called grda to relax the uniform alignment which ignores topological structures among different domains grda uses a domain graph to encode domain adjacency the authors also g... | this paper proposes to leverage topological structure between domains expressed as a graph towards solving the domain adaptation problem reviewer n4lk thought the ideas were interesting appreciated the theoretical analysis and indicated that the experiments were well thought out the reviewer asked for more detail on l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 solid theoretical results which justify the efficiency and effectiveness of the proposed method sash 2 experiments show sash has significant improvement over secagg in terms of efficiency while maintainin... | meta review the paper proposes a secure aggregation scheme to prevent private data leakage in federated learning systems quality the technical discussions are sound experiment evaluation is weak clarity the paper is well written with some minor concerns on clarity originality a novel application in federated lear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an evaluation of the wdumper tool provided by wikidata in order to get topical subsets of wikidata the paper motivates need for such a tool very well it also provides an evaluation whic... | the three reviewers mentioned several improvements that have to be considered for the cameraready version review formal definitions and fix them hypotheses are not actual research hypotheses consider changing the term used to define that conditions give more value to the research problem you are tackling as it is re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper found that combining ensembles and data augmentation can harm model calibration inspired by this finding it proposes a simple correction by only applying mixup to certain classes empiri... | this paper analyses the interaction between dataaugmentation strategies and model ensembles with regards to calibration performance the authors note how strategies such as mixup and label smoothing which reduce a single models overconfidence lead to degradation in calibration performance when such models are combined ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to improve the runtime of nn inference via a novel dnn compression idea specifically the authors propose an approach that allows fast queries at inference directly on the compressed model wi... | summary the paper proposes a technique that enables inference directly on a compressed model without decompressing the model discussion strengths an important problem as well as a compelling direction namely inference without decompression weaknesses the reviewers provided a number of both broad and spe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel backdoor attack against machine learning classifiers by systematizing the generation of the triggers through a classconditional generative model which allows to introduce backdo... | this paper introduces a backdoor attack that allows an attacker to cause an input to become any target class as opposed to just one target class the reviewers mostly liked this paper and found the attack interesting and useful the main weakness was in the comparison to prior work but here the authors have addressed muc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the subject of how a given algorithm explores the landscape is still a poorly understood area in training neural networks there is a large body of recent work that attempts to shed light on this puzzle and ... | the reviewers agree that the paper needs significantly more work to improve presentation and is not fully empirically and conceptually convincing |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the presented paper introduces an extension to existing pattern generation algorithms for pdb heuristics the work is fairly incremental mostly turning screws in a large space of existing methods and comb... | dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 in particular please address the commen... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present an interesting variation of the standard qn methods their main point of departure from lbfgssr1 is in constructing a simpler hessian inverse approximation recall that sr1 and lbfgs updat... | the paper investigates a novel formulation of a stochastic quasinewton optimization strategy based on the natural idea of relaxing the secant conditions this is an interesting and promising idea but unfortunately none of the reviewers recommended acceptance the reviewers unanimously fixated on weaknesses in the paper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper nicely completes the picture of distributional results for infinite width limits of dnn more specifically the common framework in this literature proves limits for a finite or countable number of ... | this article provides an analysis of feedforward neural network with iid gaussian weights and biases in the infinitewidth limit the paper complements earlier work on this topic by taking a functionspace approach considering neural networks as infinitedimensional random elements on the input space this is a wellwritten... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a study of trained neural networks in the frequency domain two methodological contributions are proposed 1 an extension to multiclass classification of the technique in rahaman et al fo... | the authors have largely convinced the reviewers and definitely myself of the merits of the paper after extensive and detailed rebuttal and discussion i am happy to recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a network architecture hann hann contains a hidden layer of binary activations and can has a vc dimension smaller than the number of network parameters hann can be potentially a vc theor... | the authors analyzing the vcdimension of a class of neural networks with hard thresholds at the hidden nodes that include a lowrank weight matrix and hardthresholds at hidden units the bounds are independent of the number of weights used to represent functions mapping a hidden layer to the output they also provided s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper finds that at extreme sparsities 95 existing approaches to pruning neural networks at initialization devolve to worse than random pruning the paper posits that this degenerate behavior i... | there is growing evidence that optimized deep networks typically dense in the sense of nonzero parameters often contain sparse subnetworks that can be trained from scratch to achieve similar performance as the full network such skeletonization is of obvious importance given the rate at which deep networks in practice a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission aims to develop a disentangled recommender that explicitly grants the users the ability to control a chosen aspect of the recommendation list this is achieved by 1 learning disentangled useri... | although borderline all reviews are somewhat below the acceptance threshold the main issue appears to be that the reviewers find the main claims unsupported by the experiments other complaints center around the presentation which could be improved in a revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper challenges the common belief that selfattention with dot product is necessary to train good nlp models several variants of the synthesizer model is proposed the effectiveness of synthe... | the paper seeks to answer the question on the necessity of the selfattention matrix in transformers and whether it is possible to synthesize it by alternate means other than pairwise attention
the reviewers appreciated the main general idea and the wide range of experiments conducted however there are some concerns ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the problem of efficient pretraining of largescale models for language and vision representations namely the issue of significant memory requirements for models with billions to trillions ... | this paper proposed a weight sharing method to speed up the pretraining of large language models basically during the training it first share weights across all the layers with the same architecture and then untie the shared weights at some point later the main advantage of weight sharing is that it can reduce the memo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a very interesting idea of utilizing the documentation for the data and the operators in the pipeline to generate metafeatures for metalearning this is a very novel application of graph ... | the paper presents an algorithm for realtime automl based on zeroshot learning which matches an ml pipeline to a dataset via the metafeatures of the pipeline and the dataset it aims to address an important problem and the idea of the proposed solution seems interesting however there are several issues with the current... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper makes two contributions 1 it presents a simulator to generate synthetic visual data various parameters such as the number of classes lighting and weather conditions can be changed procedurally t... | this paper proposes a welldesigned and welldocumented simulator to help study continual learning like all reviewers i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 brief summary the authors study what they call a negative pretraining effect models pretrained on task 1 and tuned on task 2 sometimes underperform compared to just training on task 2 from scratch this ... | taking all reviews and the work in consideration unfortunately the work does not present the breadth it needs to sustain the claims it makes in particular there work requires to analyse more architecturesvariations of datasets with different properties and to provide more careful ablation studies that shows the efficie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to address fewshot learning in a transductive way by learning a label propagation model in an endtoend manner semisupervised fewshot learning is important considering the limitation of ... | as far as i know this is the first paper to combine transductive learning with fewshot classification the proposed algorithm tpn combines label propagation with episodic training as well as learning an adaptive kernel bandwidth in order to determine the label propagation graph the reviewers liked the idea however there... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this article proposes deep schrdinger bridge deepgsb a numerical algorithm for solving largescale in state dimension stochastic mean field games mfg with hard distributional target constraint continuous sta... | this paper proposes a novel simple but effective algorithm to solve mean field games reviewers found the paper well written presenting an exact and flexible method despite its simplicity the method solves a wide class of mfgs authors were also able to demonstrate the computational advantage of their method providing go... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
as a theory work this paper considers the generalization of the minimax learning problems which has a wide applications in machine learning in comparison with the results of the previous work which either p... | this paper establishes high probability generalization bounds of the order o1n for a range of stochastic minimax problems the reviewers agreed that results are of broad interest and the techniques are nontrivial i recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the effectiveness of the higherorder second derivatives in the context of remote cardiac measurement a multiderivative architecture is designed based on the basic network of previous... | the paper has received 5 reviews with 4 advocating for rejection marginal or clear cut and one borderline leaning towards a weak accept the key concerns voiced by the reviewers are the lack of novelty the novelty of the proposed multiderivative architecture is limited the lack of comparisons with specific architectures... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting idea applying the representation invariance capability of deep sets to mosaics of patches extracted from a whole slide image the method was compared with a stateoftheart search engine with compe... | initially the majority of reviewers suggested a weak rejection after the rebuttal one reviewer changed their opinion to weak accept giving an even split between weak reject and weak accept i do think the authors did an adequate rebuttal specifically the new experiment on lung cancer to compare against the stateoftheart... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the purpose of this paper is to investigate simultaneous preference and metric learning from a crowd of respondents for learning the metric and ideal points the authors ask each user a series of questions i... | all reviewers felt this paper deserved to be accepted given its strong theoretical contributions and clear presentation the authors may wish to consider additional experiments given that a number of reviewers found the empirical evaluation to be relatively weak and are encouraged to follow through on incorporating conc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors develop dynatune which achieves faster convergence speed to optimize a dnn model when compared to the stateoftheart dl compiler autotvm the key idea is a timeslotbased scheduling m... | this paper applies multiarmed bandits to tuning deep learning code optimization all reviewers agreed that this is an exploratory paper that opens up a new research area my main criticism is algorithmic in particular the paper applies a 20year old algorithm to a problem with a small number of arms it is definitely not a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new knowledge distillation kd method for adversarial training the authors first observed that the softlabels provided by the teacher gradually becomes less and less reliable during the... | this paper proposes a new knowledge distillation kd method for adversarial training the key observation is inspiring softlabels provided by the teacher gradually becomes less and less reliable during the adversarial training of student model based on that they propose to partially trust the soft labels provided by the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work authors start from a point where they perform a systematic study to measure the impact of many key hyperparameters and training strategies from previous work such as distillation da etc then th... | reviewers agree that this paper presents a systematic study on the impact of hyperparameters and training strategies of previous works based on those empirical observations they propose a simplified model with layer reduction and singlestage distillation which do not rely on a complicated and adhoc training strategy ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tries to address robustness in image segmentation quality assessment by training 2 networks a reconstruction network and a regression network the result seems fine but there are some problems to a... | all the authors agree that the method has some potentials and the idea is interesting i think that it would be interesting to be included as a short paper in midl |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a differentiable autofe method called difer that is capable to produce highorder features the general idea is to evolve a set of features starting with the original features of the given... | the reviewers have been a bit divided on this paper and there was plenty of discussion i do think that the paper could use some improvement specifically about one concern risen on the explanation why the method works which is also a concern to me however the topic is interesting and reviewers expect some impact of this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of the paper propose a new method the cores confidence regularized sample sieve to tackle the important problem of learning under instance dependent label noise the proposed method in essence in... | dear authors thank you very much for your very detailed feedback to the reviewers they have highly contributed to clarifying some of the concerns raised by the reviewers and improved their understanding of this paper overall all the reviewers acknowledge the merit of this paper and thus i suggest acceptance of this p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors study the semidefinite relaxation of the sparse principal component analysis pca under missingness and establish the sufficient conditions for support recovery of the first principal co... | the paper studies the sparse pca problem finding sparse direction of large variance it studies the natural convex relaxation in which we lift the outer product xxt to a matrix x drop the rank constraint and apply l1 regularization in contrast to much existing work here the covariance matrix is partially observed the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the analysis of 13 zerocost proxies on 28 tasks and releases the precomputed scores of them the authors also studied a way to combine all zero cost proxies to allow better nas performanc... | this paper presents a systematic review of zerocost proxies for neural architecture search by design these proxies are cheap and easytoevaluate but results reported in the literature have been mixed in this light a benchmark seems relevant and important for further progress in this area the reviewers uniformly apprecia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is interested in improving the performance of natural language generation tasks that require external knowledge which are often called knowledgeintensive tasks in particular the paper focuses on h... | the paper introduces a novel decoding algorithm that allows to dynamically integrate external knowledge with generative lms the proposed technique is plugandplay it does not require retraining or finetuning lms with knowledge based objectives the author report a series of experiments on several datasets and tasks sho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the problem is well introduced highlighting the importance of interpretability of the method the proposed method is highly intuitive and presented clearly figure 1 makes the differences between the three ... | this paper is a well thought through application of deep learning to a clinically relevant problem it is a nice example showing that not everything can be learned easily and specifically designed methods can still be have a clear advantage over more generic learning approaches where in this case a segmentation rulebas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a framework for learning robotic manipulation tasks with tools using point clouds to extract point cloud observations it utilizes a dense point cloud network it proposes a pointcloudtoac... | this paper presents an imitation learning approach for manipulation using tools based on the tools point cloud flow the authors claim that using point cloud results in better performance than using transformation the method is demonstrated with 2 tasks x 2 action spaces in simulation one of the tasks is also implemente... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the use of tsetlin machines for the contextual bandit problem tsetlin machines learn a classifier using propositional logic assuming the given context is also binarized the key proposed a... | thank you for submitting your paper to neurips the authors introduce a new contextual bandit algorithm using propositional logic tsetlin machines offering a more interpretable learning approach the method interfaces with existing bandit algorithms like thompson sampling and epsilongreedy and achieves favorable empirica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the extension of proposalfree instance segmentation of 2d and 3d images is an interesting idea worth exploring also the paper contains a thorough experimental analysis with the current stateoftheart methods... | the reviewers are consistent with their ratings and comment that this work is interesting and well presented plus points are given for reproducible research through the authors release of source code and datasets it should be considered for oral presentation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces quasi rejection sampling to balance sampling accuracy and efficiency for energybased models specifically the authors introduce a hyperparameter beta to the standard rejection sampling ... | this paper proposes a new approximate sampling approach called quasi rejection sampling qrs to exploit global proposal distributions without requiring to know a bound on the associated importance ratio and providing a tradeoff between the approximation quality of the sampler and its efficiency qrs is demonstrated on eb... |
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 more robust policy optimization method for domain randomization by constraining the gap between the average performance of the whole range of environments and the perfor... | the paper tackles the problem of mitigating the effect of model discrepancies between the learning and deployment environments in particular the author focus on the worstcase possible performance the paper has both an empirical and theoretical flavor the algorithm they derived is backed by theoretical guarantees there ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
considering graph fewshot learning the paper proposes a method called glitter to learn node representations across different metatasks in particular glitter selects nodes according to their overall node in... | the paper attempts to improve few shot learning over graphs in this regards the authors propose a multistage approach where first relevant nodes is identified and desirable edge weights is learnt for each fewshot node classification task so that the input graph structure is tailored for each task individually this prop... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission proposes a novel task related to nerf finding adversarial viewpoints that mislead visual recognition models when searching adversarial viewpoints they find search viewpoint distribution rathe... | in this paper the authors study the problem of robustness in image classifiers in particular the problem of adversarial robustness previous work in the field of adversarial robustness focused on identifying minimal nonrealistic perturbations in pixelspace that maliciously alter the classification performance of a mode... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel variant of convolutional layer logpolar space convolution lpsc in neural networks wherein the convolution kernel is not rectangular but rather elliptical with different sized reg... | thank you for the submission after reading the paper twice and all reviews my summary could be found below overall the reviewers agree that the paper has some positive aspects namely the idea of logpolar convolution makes intuitive sense since the rectangular pixel quantization is more an artifact of the capture and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new batch mixup method comixup to improve the networks generalization performance and robustness it formulates the construction of a batch of mixup data by maximizing the data saliency... | this paper proposes a type of mixupstyle data augmentation that works at the batch level rather than simply between pairs of examples each generated example accumulates salient images from potentially many other examples while ensuring diversity across the generated examples this is achieved through a 4part objective w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a learningbased method for learning the latent context codes from demonstrations along with a gail model this amounts to learning the option segments and the policies simultaneously the... | this paper proposes an approach for imitation learning from unsegmented demonstrations the paper addresses an important problem and is wellmotivated many of the concerns about the experiments have been addressed with followup comments we strongly encourage the authors to integrate the new results and additional literat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work proposes to outsource model training from lowpower and costeffective end devices to powerful and cloudbased servers where no access to the private data is given and instead a surrogate dataset is s... | this paper presents a novel framework for outsourcing the model training to cloud servers without the need for the clients to upload their data to the cloud unlike federated learning the clients dont even need to perform any local training in particular the server relies on a large amount of opensource data to perform ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors proposed a new domain adaptation setting for adaptation between single source but multiple target domains to address the setting the authors proposed a socalled information theoret... | the paper proposes the unique setting of adapting to multiple target domains the idea being that their approach may leverage commonality across domains to improve adaptation while maintaining domain specific parameters where needed this idea and general approach is interesting and worth exploring the authors rebuttal a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work analyzes the effect of gradient descent training on the compositionality of the learned model it is shown that the gradient descent would use all the available information even when it is redundan... | dear authors thank you very much for submitting this very interesting paper this work analyzes the effect of gradient descent training on the compositionality of the learned model their main argument is that gd tries to use the redundant information in the data and as a result it doesnt generalize well the paper then... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper performs an analysis of the cellstate updating scheme of lstm and realizes that it is mainly controlled by the forget gate based on these outcomes they reformulate the functions interpreted as di... | there is a disagreement among the reviewers and i am siding with the two reviewers r1 and r3 and agree with r3 that it is rather unconventional to pick learningtolearn to experiment with modelling variablelength sequences its not like theres no other task that has this characteristics eg language modelling translation ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel batch active learning algorithm for multifidelity tasks while prior work only queries one example at a time the authors propose novel mutual information objectives that also take... | the paper proposes a new batch active learning algorithm for multifidelity tasks the proposal is a sequential greedy algorithmwith approximation guarantees and authors provide extensive experimental comparison the reviewers generally agree that the paper should be accepted in the cameraready version the authors are s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the author addresses the problem of post hoc explanation for the black box model in this paper the author discusses the task of explanation for two inputs and the model provides a similarity score as output... | this paper presents two novel approaches to provide explanations for the similarity between two samples based on 1 the importance measure of individual features and 2 some of the other pairs of examples used as analogies the proposed approach to explain similarity prediction is a relatively less explored area which ma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two onehanded techniques for selecting unreachable targets fc is a cursor technique based on the force while efc is another cursor technique that uses a twostep operation the problem is w... | all reviewers appreciated the work but identified some major issues that must be addressed we encourage the authors to consider resubmitting a revised version for the next review cycle |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates a new research problem of learning invariant graph representations under distribution shifts by considering the latent environment labels the proposed method graph invariant learning ... | this paper focuses on a new research problem of learning invariant graph representations under distribution shifts which considers the latent environment labels the proposal is a joint learning framework called graph invariant learning gil combing three different gnns of various functions the philosophy behind sounds q... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the previous theoretical analysis on mixup to all mixupbased methods with dataagnostic mask selection methods inspired by the previous analysis on mixup this work also shows that mixupbas... | this work proposes a theoretical analysis and unified specification for mixed sample data augmentation methods the reviewers praise the extensive theoretical analysis as well as the strong empirical results in the paper the authors and reviewers engaged in substantial discussion which led multiple reviewers to revise t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary algorithms for hyperparameter optimization either do not maintain a model over configurations or are synchronous this work proposes an extension of the asynchronous successive halving algorithm by... | this paper is solid it is correct the text and author response demonstrate good knowledge of the area the results are significant and solid the experiments are strengthened by many independent runs refreshing to see the ablation study is well done and the proposed distributed hyperparameter and nas alg is simple and pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses fairness problems in graph embedding for link prediction to mitigate problems such as graph segregation related to sensitive attributes the paper uses a variational graph autoencoder to... | this paper is devoted to dyadic fairness in representation learning all the reviewers agreed that the contribution is novel original and technically sound however all the reviewers agreed that the paper should be improved in terms of presentation for two reviewers presentationclarity issues were at the core of their w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a unified framework for both classification and regression and a combination of both using predesigned prototypes distributed on a hypersphere with max separation it is nice to see an al... | this work proposes a class of neural networks that can jointly perform classification and regression in the output space the authors explore the concept of polar prototypes which are points on the hypersphere in the output space for classification each class is described by a single polar prototype and training is equi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles an important question of the impact of feature learning on generalization while it is a common wisdom that feature learning is beneficial experimentally it is not the case for fullyconnect... | this paper studies different behaviors of feature learning and lazy training in the regression of gaussian random functions and image classification the main contribution includes insights into why feature learning in a particular setting is not robust may overfit compared to the lazy training regime for fully connecte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors analyze a selfsupervised learning framework for downstream supervised fewshot classification the selfsupervised stage is a simplified version of moco he et al 2019 and relies on classi... | this paper proposed to theoretically explain why a pretrained embedding network with selfsupervised training ssl can provide representation for downstream fewshot learning fsl tasks the review process finds that the paper may overclaim the results and that the results seem unsatisfactory both reviewer 4 and reviewer 5 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper addresses the problem of oneshot link prediction for temporal knowledge graphs tkg specifically it focuses on relations with very few triples the proposed approach uses the framework of ... | this paper addresses the problem of oneshot link prediction for temporal knowledge graphs tkg with a specific focus on sparse relations ie with very few triples using fewshot learning and episodic training on tkg with a temporal neighborhood encoder while there were some questions around novelty and sufficiency of base... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presented a new approach for evaluating hierarchical classifiers for predicting nonleaf nodes at multiple operating points with the new evaluation metric the paper shows that the widely used soft... | the submission benchmarks several hierarchical classification techniques showing that flat softmax on the leaf nodes dominates most methods this is quite a negative result for previous works indicating that efforts on hierarchical classification losses are often not leading to better results the authors introduce a l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a fixationbased method based on a hybrid transformercnn architecture which demonstrates many of the strengths of sequential processing namely computational efficiency and adversarial ro... | this paper introduces an architecture that uses pooling regions and eye movements to sequentially build up an object representation a confidence threshold is used to allow recognition in less time for easier images there was a lot of disagreement on this paper those in favor argued that it is a worthy endeavor to ... |
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