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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper presents an algorithm named floats which adds conditional perturbation to weights during training add noise when training with adversarial examples this method immediately improves over its... | this paper presents fast learnable onceforall adversarial training float which transforms the weight tensors without using extra layers thereby incurring no significant increase in parameter count training time or network latency compared to a standard adversarial training compared to existing sota float is better in m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the manuscript presents a comprehensive benchmarking study in the terms of datasets network backbone and training strategy the authors analyzed the database characteristics data enhancement strategy network... | this paper presents a benchmark in the sense of a large scale ablation and evaluation of existing worksdatasets considering the effects of dataset backbone and training strategies for the problem of human pose and shape estimation there is a consensus among reviewers that this papers main limitation is the overemphasis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new spacefilling acquisition function for bayesian optimization based on delaunay triangulation of the initial data the idea of using delaunay triangulation to get new observation loca... | overall i think this paper makes a pretty interesting contribution i think that one of the fundamental problems of bayesian optimization that is often swept aside at least in the literature if not in software is the fact thatwith many acquisition functionsit doesnt really solve global optimization as a problem but mere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new notion of state representation the firstoccupancy representation fr inspired by the successor representation it is motivated by situations where the rewards are nonmarkovian simila... | this paper introduces a firstoccupancy representation for reinforcement learning problems with potential benefits on problems with nonstationary rewards the representation is defined analogously to the successor representations but captures the expected discounted time to first arrive at a state instead of measuring d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work proposed an approach to model the dynamic useritem interaction graphs ths proposed approach is a framework comprising an onlineoffine architechture with majorly matrixfactorization techniques i li... | reviewers were overall on the side of acceptance although not strongly so with one reviewer being only borderline several positive aspects of the paper were appreciated the idea was considered novel and the motivation clear the combination of matrix factorization with dynamic graphstructured data was appreciated an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper suggests iprune a magnitude based unstructured pruning technique which reduces the number of inputs to each neuron this scheme reduces the memory computation and power consumption for training bi... | this paper deals with a problem of significant practical relevance memory efficient neural networks the authors propose some pruning methods for binary networks however several weaknesses were identified by the reviewers novelty lack of extensive experiments problems with the presentation of the paper and several valid... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper authors propose to use lottery ticket hypothesis lth for asr model pruning the whole idea generally inherits from the original lth paper the model is first trained from scratch then you collec... | the paper presents a comprehensive analysis of lottery tickets hypothesis lth on automatic speech recognition the authors verified the existence of highly sparse winning tickets in asr task and analyzed its robustness to noise transferable to other datasets and supported with structured sparsity as agreed with the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
originality the identifiability results under determinism are new and relevant the novelty compared to existing works is well justified significance the paper addresses an important problem which is releva... | the paper studies causal structure learning of linear scms under confounding while allowing for deterministic relationships in the structural equations the authors derive necessary and sufficient conditions for identifiability and provide an algorithm to recover the structure the reviewers agree that the results are an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the current paper studies the distributed kernelized bandit a generalization of the distributed linear bandit different from the distributed linear bandit 25 one cannot uploaddownload sufficient statistics ... | the paper studies distributed kernelized bandit and applies the nystrm approximation to achieve communication efficiency which is a novel technique appreciated by the reviewers after some discussions and including adding another extra reviewer i believe the paper has enough contribution and is worth to be published at ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper reintroduces the straightthrough estimator with biasvariance analysis it further discusses its relationship with some constrained optimization methods in convex optimization and in general the n... | this paper collects a variety of results that cast straightthrough estimators as arising as principled methods that make a linearization assumption on the loss for functions with binary arguments r1 r3 recommended against acceptance citing clarity concerns and a lack of novelty r2 r4 recommended acceptance but had lo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an algorithmic trick related to adversarial examples to enhance existing semisupervised domain adaptation techniques the enhanced method does require at least a few labeled samples in the... | in this paper propose a novel approach for semisupervised domain adaptation based on the cyclic monotonicity property of optimal transport map the main idea is to adapt perturbed wrt a source classifier the labeled source samples toward the target samples while preserving the known labels via the cyclical monotonici... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper argues that power consumption is a major obstacle in deploying dnns to end devices and that current quantization approaches do not take power consumption directly into account and therefore are no... | this paper argues that the existing approaches for reducing power consumption do not model the precise power usage of each model to remedy this an approximate power usage model is proposed using bit flips and a simple approach called pann is introduced that relies on tricks such as unsigned arithmetics and implementati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the laplace bridge method helps get an output distribution over lastlayer laplace approximation using a single forward pass and thus saves the high computation requirement needed in monte carlo integral the... | meta review reviewers were primarily concerned about lack of novelty as the paper provides a relatively incremental extension to the laplace bridge which itself is an application of methods from mackay on balance reviewers were mostly satisfied with author responses and felt the paper could be providing a useful contri... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new pipeline to provide realistic and controllable sensor camera and lidar simulation to generate inthewild data for autonomous driving scenarios strengths the paper is clearly writte... | this paper is well written and addresses a problem relevant to the scope of corl the results with a real robot demonstrate the effectiveness of the proposed approach please try to address the reviewers concerns raised during rethe buttal including a better presentation of the papers novelty and contributions model ro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper studies compression of gradients in distributed training with the goal of minimizing communication costs the main contribution of the paper is the development of an induced compressor tha... | i agree with the reviewers comments the technique proposed in the paper is very interesting and although the method itself is not particularly surprising its just chaining two compressors its a really nice way of framing and studying the problem on the other hand the experiments are relatively weak and i think there is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates a new doubledescent in denoising task for linear predictors as the number of samples increases the denoising loss exhibits a peak in the case of linear predictions but the peaks are l... | this paper proposes a theory for double descent phenomena in denoting deep neural networks there are two major concerns 1 the assumption that the data lie in a low dimensional subspace is quite strong and needs to be weaken or better justified 2 the theory only works for r1 where the rank is one for general rank how to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a learningbased algorithm that establishes reliable correspondences for registering a pair of point clouds point cloud registration has been a long studied problem in robotics and comput... | thanks in large part to the rebuttal conversation the reviewers converged to accept this paper the reviewers recognize the interest and value of the approach and careful empirical results bolstered by additional results introduced during the discussion in preparing the cameraready the authors of this paper are encour... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to solve the overexploration issue of posterior sampling psrl in modelbased reinforcement learning they propose conservative dual policy optimization cdpo which involves a referential update... | reviewers all appreciated the authors effort on adding additional experiments and revising the draft during the rebuttal phase and the reviewers are in general satisfied by the authors response the reviewers agree that the paper has a solid contribution to mbrl |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work follows the genrep paper and performs representation learning based on a generative model trained on data they extends the genrep by switching the fixed latent transformation to a learnable transfo... | this is a theoryoriented paper for contrastive representation learning it extends the genrep by replacing the fixed latent transformation to a learnable transform the results on imagenet1k image classification linear probing and voc object detection demonstrate the effectiveness of the proposed methods the paper recei... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the manuscript learning sparse relational transition models the authors combine neural nets with relational models using ideas from linguistics they apply this to learning the representations of the spac... | pros the paper is wellwritten and precise the proposed method is novel valuable for realworld problems cons reviewer 2 expresses some concern about the organization of the paper and overgenerality in the exposition there could be more discussion of scalability |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies transformations in gan latent space that map to meaningful transformations in the generated data the main contribution is to derive closed form methods for discovering latent transformat... | the paper gives an elegant and efficient closed form solution for steering directions in the latent space of a pretrained gan to to produce transformations in the image domain such as scaling and rotation etc this also extended to attribute transfer the new method leads to speed up analytical transformation end points... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a method for semisupervised learning in graphs that exploits the spectral structure of the graph in a convolutional nn implementation the proposed algorithm has a limited complexity and... | the reviewers are in agreement that this paper is well written and constitutes a solid contribution to graphbased semisupervised learning based on variants of cnns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a largescale multipurpose benchmark dataset for recommender systems and verified it on 10 recommendation tasks different from existing recommendation datasets the proposed tenrec have f... | in the last few years hyperscalers such meta and google have stated more or less plainly that the vast majority of their ai cycles in the datacenter are devoted to various forms of recommendation tasks unfortunately it has been hard to perform research on this problem outside of those companies due to the private and p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the deepmind control suite benchmark by adding a series of visual variations across different tasks eg lighting color background textures camera angles etc they also contrast a few recen... | the paper proposes a modification to the deepmind control suite to measure generalization with respect to visual variation the authors run baseline experiments against their new benchmark and discover unsurprisingly that rl agents learning from visual observations overfit to spurious details of the observations review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a way to combine existing factorized second order representations with a codebook style hard assignment the number of parameters required to produce this encoded representation i... | ar1 is is concerned that the only contribution of this work is combining secondorder pooling with with a codebook style assignments after discussions ar1 still maintains that that the proposed factorization is a marginal contribution ar2 feels that the proposed paper is highly related to numerous current works eg most... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduced a community library bigbio that provides curated set of metadatasets and data governance capabilities for biomedical nlp tasks evaluation this work differs from existing bionlp benchma... | this submission introduces a meta dataset consolidating and harmonizing multiple biomedical nlp datasets across several languages the submission generated good discussions between the reviewers and the authors as it shows potential utility of the corresponding dataset there is hope that this dataset will spur forward ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to predict if a sample of in distribution or out of distiribution the authors decomposes the features via svd and remove the largest eigenvalue and its rank1 matrix from the feat... | thanks for your submission to neurips this paper generated quite a bit of discussion with several reviewers having lengthy discussions with the authors on various points in the paper at the end of the day it seems that three of the four reviewers are mostly happy with the paper with scores of 6 6 5 though the 5 revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
although i am far from an expert in this area this appears to be a highly innovative paper the authors first introduce a new type of decision problem causal markov decision problems cmdps a cmdp is a spe... | in this paper the authors aim to generalize mdps to allow modeling causal relationships within each state by using ideas from the causal bandits literature the authors use this factored representation to derive regret bounds that depend do not necessarily depend on the number of interventions and states it seems that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new uncertainty estimation framework with gaussian process for multiviewmodal data the framework is basically a productofexpert model the model is trained via a variational inference a... | two out of three reviewers learn to accept with one of them championing the paper the reviewer thats most critical did not engage with either the authors or with the reviewers ac during the discussion period furthermore the review itself is pretty sparse in details and justifications on the criticism upon looking at t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work proposes the polynomial graph convolutional networks pgcns which is built upon the polynomial graph convolution pgc the pgc is able to aggregate khop information in a single layer and c... | all four reviewers expressed significant concerns on this submission during review none of them is willing to change their evaluations and supports this work during discussions thus a reject is recommended |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a notion of explanation within the scope multiagent path finding mapf in particular the authors propose the notion of mapbased explanation a form of contrastive explanation which exposes ... | the paper presents a contrastivebased explanation generation framework for explaining why certain mapf plans are not optimal the paper is very wellwritten and it will be a great addition to the program we suggest the authors look into the reviewers feedback especially reviewers 2 as they provide some pointers that ca... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose pevfa a value function able to evaluate the expected return of multiple policies they do so by extending the conventional value function allowing it to receive as input the para... | this paper proposes to consider value functions as explicit functions of policies in order to allow generalization not only on the stateaction space but also on the policy space the initial reviews assessed that the paper was dealing with an important rl topic but also raised many concerns about the position to previou... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the problem of learning a descriptor for 3d shape the two main contributions of the paper are related to using a mechanism for detecting hard examples for training the descriptor while... | this submission received a diverging set of the final ratings 6 3 6 5 on the positive side reviewers appreciated practicality of the approach and supporting empirical results at the same time all of them expressed concerns with the presentation typos unfinished sentences inconsistent notations additional requests for c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of the paper present their work on multipass sgd for leastsquares they show the following contributions the excess risk of sgd is the one of gd plus a positive fluctuation term they show datad... | the reviewers have all found that the paper has many interesting ideas and its technical derivations are solid there have been several questionsconcerns which are mostly resolved after the rebuttal as a result the reviewers have all unanimously recommended accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to improve the performance of the nondeterministic stack rnn nsrnn using unnormalized positive weights instead of probabilities for stack actions and allowing the model to directly observe t... | this paper advances the long running thread of sequence modelling research focussed on differentiable instantiations of stack based models in particular it builds upon recent work on the nondeterministic stack rnn nsrnn by introducing three extensions the first is to relax the need for a normalised distribution over th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper builds upon prior work that shows that overparameterized networks learned by erm can have poor worstcase performance over predefined groups specifically the paper demonstrates that this re... | this paper studies how to improve the worstcase subgroup error in overparameterized models using two simple posthoc processing techniques all reviewers were positive about the paper though r5 questioned the novelty of the paper which built heavily on a few previous papers in particular it builds heavily on sagawa et al... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose rambo to offline rl which imposes conservatism by adversarially modifying the transition dynamics of a learned model rambo is built on a formulation for which pac bounds are guaranteed t... | this paper introduces the idea of robust adversarial rl for offline modelbased rl which could have a high impact it is well organized and the writing is very comprehensive the authors manage to convey their idea in concise but informative language the proposed rambo approach performs reasonably well in the presented ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper developed an exciting method gridnet to infer granger causality between multimodality on directed acyclic graph dag in the framework of deep neural network gnn aiming to improve identifying causa... | the ac and reviewers all agree that the paper proposes a very interesting framework to extend granger causality to dag structured dynamical systems with important applications the submission was the object of extensive discussion and the ac and reviewers all agree that the author feedback satisfactorily addresses the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary presents genad as a general framework for anomaly detection method builds on top of contrastive training and proposes to learn a discriminator to distinguish between semantically similar and dissi... | the paper proposes a two stage approach for anomaly detection first train a low dimensional embedding potentially using selfsupervised learning methods and then train a discriminator on top of the embedding that takes in pairs of examples and outputs a score which can be used for anomaly detection a test example is pa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new architecture for using clip to modify images in coordination with stylegan the system is known as ffclip freeform clip and incorporates semantic alignment and injection blocks to i... | the paper develops an image manipulation method ffclip freeform clip to edit image semantics based on the text prompt guidance a crossattention module is developed to align the visual representations and text semantic embeddings the results show the effectiveness of the approach reviewers had concerns on the novelty an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the general bandit problem that subsumes bandits with knapsacks and bandits with fairness constraints ucblp inspired by semibwk algorithm 30 is proposed and its regret bound archives om... | we thank the authors for their submission this work presents a novel framework for bandits with longterm constraints generalizing both bandits with knapsacks and bandits with fairness constraints the authors present efficient noregret algorithms as well as remove some problemspecific assumptions made by prior work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
reproducibility summary the summary section is complete and quite clear with the appropriate information except for the scope of reproducibility which simply states the contributions of the original articl... | reviewers praised this papers attempts to match the experimental setup from the original work estimation of variance from multiple runs and and discussion |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a certified defense against triggerless and backdoor data poisoning attacks the authors consider a threat model where the attacker can poison training instances and the test instance for... | the paper proposes a new method for certified defense against data poisoning in both triggerless and backdoor scenarios the method augments previous work bagging with random flipping of labels the latter enables computation of probabilistic certificates although this results in a huge computational overhead various rel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends optimal policies tend to seek power turner et al 2021 arriving at similar results using only a novel notion of retargetability this suggests that a wide range of parametrically retargeta... | the paper studies an alignment problem that of agent seeking powers and extends previous work turner 2021 which showed that optimal policies seek power to demonstrate more generally that parametrically retargetable policies policies whose target can be changed by simple change of hyperparameters of the agent also ten... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new transformer model called delight delight differs from the original transformer in the following ways a delight transformation is performed before the selfattention the selfattent... | this paper presents some innovations to transformers allowing some significant reductions in parameter count while some reviewers were concerned that the proposed innovations seem incremental and may not stand the test of time all reviewers recommended acceptance after engaging in a rich and interactive author discussi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces an environment called honor of kings arena which is derived from the popular mobile game honor of kings the environment can be used for evaluating the generalization ability of agents i... | this paper introduces a novel rl benchmark based on the popular computer game honor of kings arena there are two modes of evaluation one is a single agent task of beating the computer ai and the second one is a competitive setting two player zerosum the game offers interesting challenges from a generalisation and tr... |
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 dynamic convolution model by exploiting the interscene similarity the computation cost is reduced significantly by reusing the feature map in general the paper is present... | the paper proposes a method for saving computation in surveillance videos videos without camera motion by reusing features from parts of the image that do not change the results show that this significantly saves computation time which is a big benefit given also the amount of surveillance video input available for pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper investigates methods to allow the emergence of a covert language in a referential game with an additional adversarial listener the senderlistener pair coalition must refer to input witho... | reviewers found the premise of this work exploring a very interesting domain despite some concerns about experimental setup and current lack of strong results reviewers are excited to discuss this work and see improvements in this complex direction we look forward to seeing it at the workshop |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach for modeling partiallyobservable multiagent mdps the paper proposes two modifications on top of a general transformer for modeling the relationship between observation and ac... | all reviewers agree that this paper makes a good contribution in developing a novel transformerbased memory structure for marl the developed approach is evaluated through comprehensive and solid experiments the authors have also clearly addressed the questionsconcerns raised by the reviewers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides main contributions a new deep learning architecture saint for tabular data that performs attention over both samples and features for datasets with missing labels the authors also analyse... | the paper presents a deeplearning network architecture for semisupervised tabular data classification and regression problems based on a new attention mechanism between samples rows and features columns the model is compared to 10 sota methods studied on 30 diverse datasets 10 for binary classification 10 for multiclas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a stochastic window strategy for training transformers and elaborates layer expectation propagation algorithm during the testing this strategy consistently improves the performance of se... | the paper proposes a new stochastic window strategy for image restoration the stochastic window transformer layer is invariant to translations and is applied to the image degradation and mitigates loss of locality hence making the approach potentially more robust the reviews of the papers were mixed with strong pro and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros providing clients with additional flexibility to weight different portions of the globally learned weights allows for greater customization in federated learning the clientspecific hidden information... | this paper proposes an anonymization method for federated learning based on the indian buffet process the reviewers found the idea interesting but raised the following main concerns please see the reviews for more details motivation and terminology needs clarification better comparison with secure aggregation methods... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a fun and effective idea to translate a peers message in terms of one agents own experience the benefit of doing so makes sense intuitively and is verified to be effective empirically ... | this work proposes a simple and intuitive way to improve how to learn a communication protocol offpolicy in the nonstationary situation in which messages received in the past do not reflect an agents current policy the authors introduce a communication correction that relabels the received message adjusting it to the c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a computationally efficient way to train the gplvm based on a connection between marginal likelihood and crossvalidation in fong and holmes 2020 to make the estimation practical stochasti... | this paper proposes a stochastic algorithm to make inference in gaussian process latent variables models more efficient the key idea is to exploit an equivalence between the marginal likelihood and the leaverout cross validation score due to fong and holmes to reduce the original cubic complexity in the full dimensiona... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a study of using machine learning methods to calibrate a radio telescope using information from sensor data on eg atmospheric conditions the authors consider tree and neighbourho... | as discussed by several reviewers the paper is an application of classical ml approaches for a very relevant problem of calibration of radio interferometers the application is interesting but lacks novelty in terms of ml methodology and the experiments do not provide a meaningful comparison between the state of the art... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper accelerates vision transformers for dense prediction without finetuning this is done by i using the token clustering layer to cluster the neighboring tokens 2 using the token reconstruction layer... | this paper presents a method to reduce the computational cost of a trained vision transformer for dense prediction according to the authors presented experiments the method can accelerate the transformers effectively without retraining although some experiments are not throughout as discussed below i see potential in t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for unsupervised domain adaptation under conditional and label shift one of the most challening versions of da at the core of this method is an optimal transport problem that se... | this paper considers the generalized target shift setting for domain adaptation and proposes an optimal transport mapbased approach to it the considered setting for domain adaptation is rather general and of practical use the proposed method seems sensible as supported by the theoretical identifiability and empirical r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a neurosymbolic model for sampleefficient vqa which turns each question into a probabilistic program which is then softly executed the problem explored in the paper and its background and... | the reviewers are in agreement that this paper could benefit further improvement there are several areas novelty of the proposed approach and evaluation on realworld datasets beyond just clevr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper performs extensive experiments on mappo ie shared parameter ppo with centralized value function in cooperative multiagent settings the authors ran ppobased marl algorithms on the mpe smac hanabi ... | the paper presents extensive evidence showing ppo to be a surprisingly strong algorithm in multiagent rl environments compared to more sophisticated and specialized approaches the paper provides a helpful codebase along with elaboration on a variety of implementation details which significantly matter for ppos good per... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies instancedependent noise idn problems it proposes a singleparameter confidence model for the noise generating process moreover instanceconfidence embedding ice method is employed in the tr... | the paper proposes a new method for the problem of learning under instancedependent noise idn the idea is to construct a variational approximation to the ideal training objective which involves learning a single scalar cx per instance in turn each such scalar is treated as an additional parameter to be learned by the n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes synthetic model combination an unsupervised ensemble learning approach to make instancewise predictions by assuming access to the feature distributions the available models have perceived... | this work suggests that in cases where data is sensitive it might be easier to gain access to pretrained models instead of to the data used for training them however since these models were trained on different distributions their prediction may be betterworse depending on whether the point of interest in in the suppor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strong points 1 the paper was fairly well written and easy to follow 2 the results are quite promising questions to the author 1 it is unclear how the model learns the category without any supervision it i... | description the paper presents a weaklysupervised model cicgmo for disentangling category shape and view information from images label information is not need as the weak supervision is done by grouping together different views of the same object they show that this outperforms other techniques on tasks such as invari... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written the motivation is clearly explained and the methods are detailed the experiment is relevant and nicely shows how the time dynamics affect the results the interpretable component of... | both reviewers liked the methodological contribution and while both also highlight a number of points that are currently unclear a thorough revision for the final version should make this into a good midl short paper again we would like to encourage the authors to publish a link to public source code and do not underst... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the generalization of iterative noisy learning algorithms first of all the authors provide a new generalization bound based on the hellinger distance this bound is basically based on the ... | this paper focuses on generalization bounds for exponential family langevin dynamics which extends related recent work for stochastic iterative algorithms such as sgld in several ways they derive expected stability bounds for a more general class of noisy stochastic iterative algorithms leading to an exponential family... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a modular and efficient framework along with its jax implementation for the implicit differentiation of optimization problems the user defines the function f capturing the optimality cond... | this paper was particularly discussed between the reviewers the ac and sac a last minute reviewer was also called to clarify some issues raised as one of the reviews never got into the system the paper was overall perceived as well written and well presented and that the software contribution of implicit differentiati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the aim of this paper is to develop a mixtureofexpert moe model to solve the testagnostic longtailed recognition problem where the test class distribution may follow a uniform forward or backward longtailed... | the reviewers agreed the paper provides some nice insights into tackling the difficult and underexplored problem of testagnostic longtailed recognition the reviewers appreciated the thorough experiments and ablations provided the author response sufficiently addressed the key concerns the reviewers had |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors discussed the maximum entropy method of obtaining estimators for discrete probability distribution they also gave an exposition regarding different moment type constraints and how ... | as one of the reviewers concisely summarized this paper investigates maximum entropy maxent inference and compares it to a bayesian estimator and regularized maximum likelihood for finite models two reviewers specifically question whether they have learned anything new after reading this combined with various other d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the maml problem in particular authors consider mixed linear regression problem and provide two sets of results first they characterize the optimal learning rate for test time ie the ste... | after carefully reading all reviews and rebuttal i actually think the paper provides sufficient new insight in understanding maml that is worth being accepted i want to thank the authors for actively engaging with the reviewers and providing sufficient changes to the paper in order to clarify and improve its contributi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to use cumulative saliency as guidance for model pruning in particular when designing saliency they introduce a balanced formula by taking the filter size and gradient valu... | this paper proposes new heuristics to prune and compress neural networks the paper is well organized however reviewers are concerned that the novelty is relatively limited the advantage of the proposed method is marginal on imagenet what is effective is not very clear therefore recommend for rejection |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors note that the stationarisation of time series removes information from the time series that can be used to aid in prediction they call this problem the over stationarisation of time series given... | the paper introduces a transformerbased method for nonstationary time series forecasting this research addresses a clear need as acknowledged by the reviewers also most reviewers found the method clearly described and the experiments compelling demonstrating an improvement of the state of the art the reviewers asked ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes learning representation for dynamic graphs using structural and temporal selfattention layers they applied their method for the task of linkprediction however i have serious objections ... | this paper proposes a selfattention based approach for learning representations for the vertices of a dynamic graph where the topology of the edges may change the attention focuses on representing the interaction of vertices that have connections experimental results for the link prediction task on multiple datasets de... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the evaluation reveals the technique proposed to significantly improve the number of problems that can be solved in a reasonable time and the solution times of these problems practical examples nicely illu... | meta review the paper contributes a significant advance to the wmi literature along with strongly encouraging empirical results reviewers unanimously recommend acceptance while the paper is necessarily dense it is hoped that the authors can use the cameraready revision to revise the presentation to address reviewer c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of learning with noisy labels and proposes a novel method cdr which is inspired by the lottery ticket hypothesis in particular the proposed method categorizes the parameters i... | the paper presents a novel method for learning with noisy labels based on an interesting insight into the learning dynamics of deep neural networks reviewers unanimously vote for acceptance i agree with their assessment and it is my pleasure to recommend the paper for acceptance if i can draw attention to one comme... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper neatly combines essential ideas to work on the federated setting experiments are done with various settings to examine the quality of the proposed algorithm the paper is wellmotivated no clea... | meta review the paper considers bayesian estimation of causal effects in a federated setting where data is at multiple sites and cannot be directly shared pros this setting seems to be novel experimental evaluation is thorough and favourable combines bayesianism gaussian processes and variational inference cons mi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an alternative deep learning model for use in combinatorial optimization the attention model is inspired by the transformer architecture of vaswani et al 2017 given a distribution over p... | the paper presents a new deep learning approach for combinatorial optimization problems based on the transformer architecture the paper is well written and several experiments are provided a reviewer asked for more intuition to the proposed approach and authors have responded accordingly reviewers are also concerned wi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work describes a new approach to learn kg embeddings by preserving the implication ordering among relations in the embedding space the paper provides a cute new interpretation of transh and then uses i... | this work proposes a new knowledge graph embedding method in the trans family that ensures the implication ordering of relations in the embedding space the proposed idea on viewing relations as sets of pairs of entities is interesting and provides new perspective as compared to previous kg embedding approaches the tech... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a testtime humanintheloop attack method to generate backdoor triggers under a specific threat model and argued that anyone with access to the classifier could reconstruct the triggers s... | the authors claim that backdoored classifiers are fundamentally broken by demonstrating that other backdoors can be generated for such classifiers without the knowledge of the original backdoors the proposed method however requires manual intervention and is not justified by theoretical arguments numerous questions ask... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper makes two contributions to contrastive representation learning 1 using the more general fmutual information rather than using shannon mutual information for contrastive learning 2 experimental re... | most of the reviewers have concerns that the experimental results dont show stronger enough improvements over baselines and that the theoretical contribution of the paper is not completely clear these concerns make the paper a borderline paper for neurips some reviewers have pointed out problematic or unsupported claim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes training a sequence of conditional ebms inspired by ho et al 2020 instead of training unconditional ebms each conditional energy describes the probability of recovering x given its no... | the paper presents an interesting model to sample from the gibbs distribution using diffusion based method the theory is interesting and it is related well to the current research in the field all reviewers agree that this is a noteworthy contribution to iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new financialrelated dataset in the field of graph anomaly detection which is both dynamic and largescale this dataset fills the lack of largescale datasets for dynamic graph anomaly d... | this paper presents a largescale and realworld dynamic graph in the finance domain which is applied for anomaly detection in addition nine supervised and seven unsupervised methods have been evaluated on dgraph this paper may push forward the research in the anomaly detection community however the presentation of this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
mbw are proposed to tackle two problems 1 uncalibrated but synchronized videos with few views and 2 a limited manual annotations the main contributions lie in 3 aspects 1 propose a zoo dataset with uncalib... | this paper presents a dataset of uncalibrated pairstriplets of videos of zoo animals the paper also presents a method to label this data in a selfsupervised manner with minimal annotation reviewers appreciated the contents of this dataset and see value for follow up work the method for labelling was also appreciated we... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes using knn density estimation for detecting outliers or outofdistribution ood points using hidden representations learned by a neural network trained with label smoothing the main claim of... | the problem considered in this paper is of general interest to all reviewers however while the reviewers in general appreciate the authors effort in providing theoretical analysis for a seemingly effective algorithm they are unconvinced that the key technical claims are well justified ie separation between theoretical ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose mean rescaled confidence interval merci as a way to measure the quality of predictive uncertainty for regression problems the main idea is to rescale confidence intervals and use average... | reviewers are in a consensus and recommended to reject after engaging with the authors please take reviewers comments into consideration to improve your submission should you decide to resubmit |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a promising framework for nearfield photometric stereo utilizing volume and surface rendering the proposed method is tested on a synthesis dataset and a real dataset their results have r... | this paper had reviews ranging from borderline reject to strong accept the most negative reviewer had concerns about the assumptions in the framework point light sources and the loss of accuracy as the number of light sources decreases but the remaining reviewers were compelled by the ability to hand scenes with light... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the purpose of this paper is adequate to real environment situations in hospitals the consideration of using unseen scores is good in a clinical situations which should be addressed when the application is ... | the initial reviews were mixed but the authors wrote a convincing rebuttal and made a revision of the manuscript changing the initial rating of two reviewers to accept some reviewers did not provide a response to the rebuttal given the rebuttal of the authors and the changed opinion of two of the reviewers i recommend ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies how the vulnerability of a neural network model depends on its input dimension the authors prove that for an untrained model randomly initialized with xavier initialization the gradient of... | this paper suggests that adversarial vulnerability scales with the dimension of the input of neural networks and support this hypothesis theoretically and experimentally the work is wellwritten and all of the reviewers appreciated the easytoread and clear nature of the theoretical results including the assumptions an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a neural network to model data or machine learning tasks with fiber bundle structure machine learning tasks like regression or classification are often many to one they assign a label di... | the paper studies the problem of learning fiber distributions associated with a machine learning task in which the goal is to predict y given x one chooses a fiber space distribution z dz and learns a trivialization varphi yz x the proposed architecture first clusters the label space y within each cluster i it fixe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to incorporate span information in pretrained language models like bert during finetuning in the proposed approach the segmentation of a sentence is obtained according to a p... | the paper proposes to combine the spanlevel information into a phraselevel representation in the finetuning phrase for pretrained language models the phrases are predefined in a dictionary experiments show improvements in various downstream tasks in the glue benchmark its a borderline paper various concerns were ra... |
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 method called the modifiedremind mremind network it is a replaybased continual learning method with a longer memory to historical data and no memory overflow issues info... | this submission receives four negative reviews the raised issues include paper organizations presentation clarity more experimental evaluations the tradeoff between technical contribution and application configuration and the potential impact on more general visual recognition scenarios in the rebuttal and discussion p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission proposes a method for representation learning in a setting where data is annotated by set membership ie grouped data more specifically the authors aim to extract representations of the factor... | this paper proposes to employ affinity cycle consistencyacc for extracting active or shared factors of variation across groups experiments shows how acc works in various scenarios pros the problem is important and relevant the paper is well written the proposed method is simple and effective cons the experimental... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new underexplored problem in offline rl the situation when during the online deployment some features that were present in the offline dataset are missing the authors motivate this pro... | the authors propose the resource constrained offline rl problem where the offline dataset contains extra features that are not available online the goal is to use these extra features to improve performance during deployment they propose a simple modification to td3bc in the continuous control setting and a simple modi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work attends to the problem of leakage in the soft concept bottleneck models cbms the soft concepts can convey unintentional information about the label which compromises the interpretability and inter... | the paper contains an interesting discussion on concept bottleneck models pointing out their main flaws the proposed remedies are plausible and documented empirically the reviewers have converged to the consensus and all have scored the paper above the bar minor comments the caption of figure 1 seems to be wrong the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality good clarity good originality carefully combines a number of nontrivial methods from recent related work clever new idea for how to guarantee constraint satisfaction of the output of the netwo... | the paper proposes an approach for solving constrained optimization problems using deep learning the key idea is to separate equality and inequality constraints and solve for the equality constraints separately empirical results are given for convex qps and for a nonconvex problem that arises in ac optimal power flow t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a system for selfsupervised imitation learning using a rl agent that is rewarded for finding actions that the system does not yet predict well given the current state more precisely an ... | this paper proposes a method for incentivizing exploration in selfsupervised learning using an inverse model and then uses the learned inverse model for imitating an expert demonstration the approach of incentivizing the agent to visit transitions where a learned model performs poorly this relates to prior work eg 1 bu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of novel class discovery and detection the authors propose a twostage object detection network called regionbased ncdl the proposed approach uses region proposals and is train... | the meta reviewer has carefully read the paper reviews rebuttals and discussions the meta reviewer appreciates the authors efforts to respond and revise the paper the authors did a good job of convincing the reviewers the meta reviewer believes that openworld object detection using selfsupervised learning is of interes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes clairvoyant multiplicative weight update cmwu a simple alternative of optimistic mwu that can compute cce of a generalsum game in logtt rates in a uncoupled manner the idea of the algori... | this paper proposes a new uncoupled method for computing cce of a generalsum normalform game with a sota rate as the reviewers point out the biggest issue of this work is that the proposed algorithm is not noregret considering all iterates we strongly encourage the authors to make this clearer and avoid making misleadi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel approach to automate correction of over segmentations caused due to imperfections in image acquisition process the novelty lies in framing this as a learning task over labels and... | this paper proposes a rectification of oversegmentations in connectomics images by training a curvenet network on labels with simulated gaps using a binary classification loss there is a consensus among the reviewers that transforming the segmentation gap problem into a classification task in a pointcloud space is inte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose choosing direction by using a single step of gradient descent towards newton step from an original estimate and then taking this direction instead of original gradient this direction is reus... | the proposal is a scheme for using implicit matrixvector products to exploit curvature information for neural net optimization roughly based on the adaptive learning rate and momentum tricks from martens and grosse 2015 the paper is wellwritten and the proposed method seems like a reasonable thing to try i dont see an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a preprocessing protocol based on multiparty computation that works independently of how the data is skewed among a few parties the algorithm makes clever use of smpc to minimize cost wh... | this paper studies data preprocesing in the federated learning setting it proposes a simple and elegant algorithm for performing a yeojohnson yj power transform on univariate numerical data this is a nonlinear transform intended to make the data more like a gaussian the paper shows that the likelihood objective is con... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes speeding largescale pretraining by constructing the data pipeline with the explicit goal of minimizing the need for padding tokens which only lead to wasted computation the approach is to... | this paper draws attention to the importance of good packing to avoid padding when creating batches this problem is indeed important in practice and the paper does a good job studying the paper that being said the machine learning novelty seems limited one reviewer was strongly supportive of acceptance while the other ... |
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