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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after reading the other reviewsresponses i think there are persistent concerns with the breadth of experiments and the substantiveness of the contribution although the manuscript is somewhat improved... | summary of reviews and discussions reviewers were overwhelmingly negative on this paper due to a variety of factors unclear writing heuristic motivation overpromising in the title while underdelivering on results although the authors responded to the reviewers feedback and some reviewers increased their score to acknow... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the issue of task underspecification in evaluating reinforcement learning algorithms this issues emerges when an rl algorithm is evaluated on a single instance of an underlying often imp... | this paper proposes to evaluate deep rl algorithms on a family of mdps rather than single point mdps this seems a reasonable way to reduce performance variance though i found the paper to be quite lacking in terms of depth realism and real impact in particular the construction of the family of mdps seems like a hard ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to leverage the public wisdom expressed in social media comments and replies to augment social text classification to this end this work proposes hyphen which consists of hyperbolic grap... | this paper proposed a discourseaware hyperbolic spectral coattention network for social text classification via using public discourse and its hierarchy reviewers all agreed that this work presents an extensive amount of experimentsevaluations with impressive performance gains and interpretability thus we recommend ac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors conduct a thorough analysis of the numeric precision required for the accumulation operations in neural network training the analysis is based on variance retention ratio vrr and authors show th... | the authors present a theoretical and practical study on lowprecision training of neural networks they introduce the notion of variance retention ratio vrr that determines the accumulation bitwidth for precise tailoring of computation hardware empirically the authors show that their theoretical result extends to pract... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
c1 open set learning which is a task of classificing data over the known categories but that are ood is widely studied in 2d in contrast there were no 3d dataset or benchmarks that attempt to solve the ope... | this work for the first time proposes to study the task of open set 3d learning for 3d point cloud data the authors have conducted extensive experiments under different settings with varied category semantic shifts and provided comprehensive experiments benchmarking the popular methods from 2d open set learning which l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a method for iterative small molecule generation based on an autoencoder framework with graph neural networks the method specifically focuses on the ability to extend molecular scaffolds... | most reviewers were positive about the paper seeing that the proposed method is practical and has convincing experimental performances one reviewer was a bit negative and raised questions about clarity after the authors responded the negative reviewer didnt respond further after reviewing all the comments the ac feels ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
final comments i thank the authors for updating the manuscript with clarifications and for clear replies to my concerns i agree with r2 to some extent that the empirical performance of the method as wel... | the paper proposes the idea of using optimal transport to evaluate the semantic correspondence between two sets of words predicted by the model and ground truth sequences strong empirical results are presented which support the use of optimal transport in conjunction with loglikelihood for training sequence models i ap... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose an endtoend scene graph generation framework in which design iterative refinement manner to gradually optimize the predictions besides it also introduce the reweighting loss to tackle the... | the authors propose a new approach for endtoend training of predicting scene graphs from images different from the traditional twostage approach the key observation that the fixed factorization approach can be suboptimal due to error compounding is reasonable and is supported by the experiment results the proposed solu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the matrix recovery with unknown correspondence problem where we have two data matrices from different sources with unknown correspondence and the task is to estimate the underlying corre... | overall this paper was discussed at length given the high variance in scores and it was ultimately felt that the paper was a borderline paper and there was not enough enthusiasm to warrant acceptance several concerns in the discussion could not be resolved in particular the bounds might not be tight or even useful and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of contribution the authors propose an interesting approach to address the sampleefficiency issue in neural architecture search nas compared to other existing predictor based methods the approach di... | in line with recent work in the nas literature the authors consider a weak nas performance strategy to filter out bad architectures and narrow down the exploration to the most promising region of the search space the authors propose to estimate weak predictors progressively by learning a series of weak predictors that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies an rl problem where the rewards are given as a vector at each time step the goal is to find a policy that balances the total rewards on different dimensions of the reward vector ie one tha... | this paper studies an rl problem with vector rewards where the goal is to maximize the expected minimum total reward expost maxmin fairness this is different from prior works on a similar topic where the goal is to maximize the minimum expected total reward exante maxmin fairness the authors propose an algorithm for so... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this papers starting point is a probabilistic interpretation of three losses mse crossentropy and the loss introduced in reference barron 2019 it proposes the minimize the average loss jointly over the pred... | the reviewers agree that this paper has some strengths to it and some commented that the revision improved the manuscript but the paper remained borderline with no strong champions in its favor the reviews are encouraging and suggest that the paper is a bit tightly packed for the conference format and perhaps because i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors studied the empirical phenomenon of condensation during nn training where the weight vectors of individual hidden neurons in a twohiddenlayer network concentrate in a few directions the authors ... | three reviewers recommended borderline accept borderline accept and weak accept reviewers found the work clearly written and the claims clearly stated of particular interest were the empirical results connecting the number of condensed directions and multiplicity of the nonlinearity where the article was found to fill ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a unified framework fnevr for face animation which combines 2d motion warping and 3d volume rendering specifically a 3d face volume rendering module is designed for facial details rende... | after rebuttal all reviewers recommend acceptance the authors are encouraged to follow the reviewer suggestions on improving the final paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
clarity eqn5 and 6 introduce symbols theta1 and theta2 whose meaning is unclear eqn6 requires more clarity as it is important to understand how intermediate embeddings for cold nodes are being generated o... | the reviewers agree that the paper is addressing an interesting problem coldstart for representation learning on dynamic graphs however the proposed methods can be improved by proposing more novel ideas at the moment the proposed methods is a combination of gcn model for node classification and gae model for link predi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes an approach to incremental semantic segmentation iss of images the authors provide a detailed and critical analysis of the calibrated cross entropy cce and calibrated knowledge distilla... | this work deals with incremental semantic segmentation the authors propose a threestep incremental learning approach they provide an indepth analysis of the probability calibration methods widely used for the iss and introduce an interesting proposal for incrementally adapting the memorized features using global alignm... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the problem of designing a distance measure in the space of the functions parameterized by neural networks ideally such a measure should be independent of the parameterization of the net... | all the reviewers agree that the paper studies an important and interesting problem however the reviewers felt the paper is still in preliminary stages with incorrect derivations missing comparisonsreferences and writing while the authors updated the paper during the discussion stage addressing some of the concerns th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides an indepth study of the quantization error in lowprecision training and gives consequent bounds on the lowprecision sgd lpsgd algorithm for convex problems under various generic quantiza... | as the reviewers pointed out the strength of the paper mostly comes from the analysis of the nonlinear quantization which depends on the double log of the lipschitz constants and other parameters the ac and reviewers agree with the dimensionindependent nature of the bounds but also note that dimensionindependent gound ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for fullwaveform inversion an inverse problem in seismic imaging that combines a convolutional neural network cnn with a physicsbased forward modeling operator as opposed to othe... | the paper presents an unsupervised method for learning fullwaveform inversion in geophysics by combining a differentiable physics simulation with a cnn based inversion network the reviewers agreed that the paper was well written and described an important advance but were concerned about limited novelty and a potentia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this submission the authors introduce a new benchmark for assessing disparities in facedetection systems caused by image perturbations introduced into images noise the benchmark involves measuring perfor... | the paper contributes a benchmark dataset to test the robustness to noise of face localization models it is created by adding a standard set of perturbations to four existing datasets the paper also includes an analysis of six face detection systems based on this dataset since the authors focus on disparities in robust... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a generative model for video prediction the originality stems from a new training criterion which combines a vae and a gan criteria at training time the gan and the vae are trained simu... | this paper shows that combining gan and vae for video prediction allows to trade off diversity and realism the paper is wellwritten and the experimentation is careful as noted by reviewers however reviewers agree that this combination is of limited novelty having been used for images before reviewers also note that the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors report several metrics the dataset promise12 is challenging and is useful to benchmark different methods the topic of segmentation regularizationpostprocessing is important and relevant i... | the reviewers have provided very detailed argumented and constructive criticism of the paper although they acknowledge some interest to the paper they all agree on the fact that this paper had major flaws to be adressed missing baselines lack of clarity code availability the authors did not provide a rebuttal i fol... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors describe a quantization approach for activations of the neural network computation to improve the memory efficiency of neural network training and thus training efficiency of a sin... | this work proposes to reduce memory use in network training by quantizing the activations during backprop it shows that this leads to only small drops in accuracy for resnets on cifar10 and imagenet for factors up to 8 the reviewers raised concerns about comparison to other approaches such as checkpointing and question... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new watermarking framework for text generation apis compared with the existing framework the new framework increases stealth by minimizing the distortion of overall word distributions ... | the authors propose a watermarking technique cater to claim ownership of text generation apis in the presence of imitation attacks their main idea is based on the observation that in the state of the art by analyzing the word frequency in api responses as well as publicly available data an adversarys odds to learn the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a margin term for positive pair in contrastive loss and discovered an equivalent rule between margin m temperature tau and number of negatives k the authors demonstrate that once they ... | the equivalence rules for the margin are quite interesting but i have two main concerns with the current paper 1 the theory does not seem to justify why increasing the number of negative examples helps in contrastive learning in fact table 9 shows that the bound gets smaller as k increases 2 the experiments use a larg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper suggests an approach to design arbitrary steerable kernels as the kernel steerable constraint only relates to the orbits previous approaches have not yet taken into consideration that kernels shou... | the paper proposes an approach to constructing steerable equivariant cnns over arbitrary subgroups of e3 by generalizing the wignereckart theorem for steerable kernels in lang weiler 2020 the intuitive idea is to use a steerable basis for a large group like o3 to build a basis for a subgroup of interest like so3 revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper considers the task of trail navigation task recently explored by giusti et al and smolyanskiy et al the authors describe their setup for physical experiments with a drone and compare thr... | the paper compared between different cnns for uav trail guidance the reviewers arrived at a consensus on rejection due to lack of new ideas and the paper is not well polished |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a impossibility result for valuefunction approximation in batchmode rl the chart below puts this work in context this work essentially shows through a constructive example of an mdp th... | the paper shows hardness results for batch reinforcement learning authors show that even if all value functions are linear in a given set of features and the exploration data covers all directions evaluating any policy might require a sample size that is exponentially large in the problem horizon this is an interesting... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to apply distillation loss on unlabeled data to tackle the catastrophic forgetting problem for class incremental learning in each training iteration this work first retrieves a candidate... | this paper presents a novel method for classincremental learning cil with the help of placebo data chosen from a free image stream such placebo data are unlabeled and easy to obtain in practice to adaptively generate phasespecific functions as the accurate estimation of placebos quality for kd this paper applies reinfo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper analyzes why gans underperform mle in natural language generation tasks the authors argue that minimizing kldivergence like mle is a more efficient approach compared with minimizing the same dist... | in the context of text generation the paper gives a theoretical argument that gan objectives are equivalent to maximumlikelihood training when the generator and discriminator families are paired reviewers generally felt that the perspective was interesting brom jtpn uut1 and the theory was insightful jtpn uut1 reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
cons the proposed method is not novel for example lauly et al 2017 have proposed a similar way of combining lm and docnade this paper does not provide some motivations or theories behind such artificial c... | this paper presents an extension of an existing topic model docnade compared to docnade and other existing bagofword topic models the primary contribution of this work is to integrate neural language models into the topic model in order to address two limitations of the bagofword topic models expressiveness and interpr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is wellwritten with a few figures to illustrate the ideas and components of the proposed method however one of the main components in the proposed method is based on tulsiani et al cvpr18 the rema... | with ratings of 6 5 3 the numerical scores are just not strong enough to warrant acceptance the author rebuttal was not able to sway opinions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents temporal gaussian mixture tgm layer efficiently capturing longerterm temporal dependencies with smaller number of parameters the authors apply this layer to the activity recognition prob... | the reviewers raised a number of major concerns including lack of explanations lack of baseline comparisons and lack of discussion on pros and cons of the main contribution of this work the presented temporal gaussian mixture tgm layer the authors rebuttal addressed some of the reviewers comments but failed to addre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles important and relevant task for digital pathology the problem setting is reasonable for multiinstitutional studies the experimental result provided in table 46 clearly demonstrate the b... | the reviewers all acknowledge that the paper is well written well structured and easy to follow tackles important task for digital pathology is relevant and useful to the midl community and that the proposed method can be adapted for various image processing tasks in hestained images thus even though technical novelt... |
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 benchmark for graph neural architecture search based on a tailored search space they evaluate different search algorithms of existing methods on graph neural architecture... | this paper introduces the first nas benchmarks on graphs ratings were quite diverse with scores of 456778 the many positive reviewers highlighted that graphnas is very relevant and that a benchmark for them would be very useful for the community the benchmark includes comprehensive evaluations on as many as 9 different... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed to use automl to perform twosample tests to detect distribution shifts the paper shows both theoretical proof and practical experiments on distribution shift detection tasks strength the... | this paper proposes a twosample test based on automl the paper is interesting and it proposes what promises to be a practical method however the reviewers have noted several discussions that need to be made explicit in the paper i will recommend this for acceptance with a strong encouragement for the authors to incorpo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper analyses why current sota motion forecasting methods use mlp output heads and not recurrentautoregressive ones the paper then proposes several improvements to an mlpoutput method that brings in be... | this paper explores mechanisms to include temporal information in trajectory prediction the paper highlights that in general approaches that attempt to include temporal information in the output stage of a network perform more poorly than an mlp output head but this seems to be contradictory given that trajectories do ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper present a 3daware global correspondence learning to tackle the virtual tryon problem the method injects 3d priors onto the feature learning step via smplbased approach the method shows benefits on... | this paper received 4 positive reviews 2xba wa a all reviewers acknowledged that the proposed approach is simple and effective it is well presented and the claims are supported by strong empirical performance and extensive evaluation on several datasets the remaining questions and concerns were addressed in the author... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the framework of convex reinforcement learning rl which covers applications such as imitation learning and riskaverse rl is considered in vanilla rl the idea of approximating the infinite tri... | this paper provides new insights for convex reinforcement learning using finite vs infinite trial objectives many of the reviewers felt this was a significant theoretical contribution that was presented clearly with the potential for significant theoretical impact however there were also concerns about the practicality... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary authors introduces two new concepts spatial resolution and structural resolution in regards to understanding the graph structured data which are quite interesting and enlightening idea about project... | the proposed approach seems to have elements of novelty it is well presented and reasonably motivated by the authors in addition empirical results seem to be promising however although rebuttal helped to clarify some of the pending issues there are concerns on the fact that the raised issue about resolution dilemmas ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview and contributions the authors present a newly collected dataset and evaluation framework for learning representations for landing an airplane the dataset is collected from the xplane simulation env... | the paper introduces a new dataset that contains multiple landings from the x plane simulator and each includes readings from multiple sensors for aircraft landing the paper also trains a set of selfsupervised methods presented in previous works in order to learn sensory representations and evaluates the learnt repres... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper tries to address a very important problem compositional generalization in grounded agent instruction learning it proposes to use interactions between agent and the environment to define ... | this paper proposes an approach to training language instruction following agents that aims to improve their compositional generalization by means of an entropy regularization method to reduce redundant dependency on input all four expert reviewers agreed that the paper is not ready for publication in its current form... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper develops the theory of equivariant partial differential operators a steerable pdo which is equivariant under any given symmetry interestingly this work reveals the relation between convolution an... | the paper develops steerable partial differential operator and show how it can be used to build equivariant network experimentation on rotated mnist and stl10 show the merits of the proposed method reviewers agreed on the significance of the work and that it brings new perspective on equivariance that would be interest... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new machine learning model ttdcnn as an alternative to binarized neural networks bnns the paper claims that the new machine learning model simplifies and improves interpretability of th... | i think there is good research behind this paper but the presentation issues make it difficult to argue for acceptance on the positive side the paper has made a clear advance in terms of the ability to do full satbased verification of neural networks however there are also important issues with the paper that prevent... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a method named mahe that can provide hierarchical explanations for a model including both contextdependentinstance level and contextfree global explanations by a local interpret... | this paper introduces mahe a modelagnostic hierarchical explanation technique that constructs a hierarchy of explanations from local contextdependent ones like lime to global contextfree ones the reviewers found the proposed work to be a quite interesting application of the neural interaction detection nid framework an... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors of this manuscript proposed a generative dynamics system for the modelling and generation of 3d conformations of molecules specifically there are three components 1 conditional graph continuous ... | the paper combines flowbased and energybased models to generate molecular conformations given a molecular graph for this a continuous flow model is used to map the graphbased molecular representation into a distribution over conformations an energybased model ebm is used to further help the model capture longrange ato... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to address the task of event sequence modeling where the aim is to predict the next event in sequential data focusing on the scenario where there is a substantial gap between the time the da... | this paper proposes a method for predicting the next event given sequential data for the prediction under distribution shift the proposed method uses a backdoor adjustment variational inference of latent context and hierarchical branching structure the proposed method that combines techniques from different fields is i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper explores the effect of scale on catstrophic they conduct several different experiments for both resnets and vision transformers showing the size of the model for pretrained models reduces forgett... | the authors explore the forgetting behavior of largescale pretrained models in continual learning cl the authors find that forgetting is mitigated by scale or models and of pretraining datasets the authors also make preliminary observations to try to explain why this happens this manuscript is somewhat in line with rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work aims at avoiding generating factually incorrect responses by introducing knowledge from knowledge graph kg into a conversation it retrieval only contextrelevant subgraph from the global kg to avoid... | the paper presents a method for dialogue generation with knowledge graphs where the goal is to increase faithfulness towards the provided knowledge graph the research topic while somewhat narrow is wellmotivated and they propose a contextrelevant subgraph retrieval method with specialized graph encoding method preservi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
additional review this paper did not handle the nondifferentiability and nonlinearity very well we can see this from the following three perspectives 1 proof idea the proof of this paper is noisy version ... | this paper proves that gradient descent with random initialization converges to global minima for a squared loss penalty over a two layer relu network and arbitrarily labeled data the paper has several weakness such as 1 assuming top layer is fixed 2 large number of hidden units m 3 analysis is for squared loss despite... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a generalpurpose pretraining approach for jointly encoding utterances and relational tables in the task of table semantic parsing where a natural language utterance is transduced into an... | this paper proposes a pretraining technique for semantic parsing with an emphasis on semantic parsing and the technical details required to actually make it work in practice overall all reviewers agree that the results are very good and you see nice improvement across multiple texttosql datasets some reservations have ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to efficiently perform multitask training jobs on overlapped datasets the authors propose a new data loading method focusing on data preparation they design a dependent sampling algorithmdsa and domainspeci... | the paper proposes a new data loader called joader for parallel dnn training on overlapped datasets that allows tasks to share memory and computational resources for data preprocessing joader implements a new sampling mechanism and cache policy to reduce cache misses due to data access from multiple tasks and a new dat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the exact asymptotics of feature learning in a twolayer neural network the training procedure includes two steps 1 fix the second layer and train the frist layer using gradient descent 2... | the paper studies a two layer neural network in the setting of one step of gradient descent on the first layer after random init and then freezing the first layer and training the last layer the study is in proportinal asymptotic limits of parameters going to infinity they identify two regimes depending on the learning... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe paper presents the new approach for distinguishing antonyms and synonyms this task could be interesting for further applications such as paraphrasing and text entailment the authors present propos... | the paper presents a new approach for distinguishing synonyms and antonyms via an extension of a parasiamese neural network called the repelling parasiamese network the strengths of the paper as identified by reviewers are a novel architecture for antonymy detection a new dataset and solid empirical results however th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a simple regularizer for rl which encourages the state representations learned by neural networks to be more discriminative across different observations the main idea is to imp... | the authors propose to define expressiveness in deep rl by the rank of a matrix comprising a number of feature vectors from propagating observations through the learnt representation and show a correlation between higher rank and higher performance they try 3 regularizers to increase rank and show that they improve the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the problem of molecular conformation optimization and proposes a neural energy minimization formulation where a neural network is parametrized to learn the gradient fields of a conformati... | all reviewers except one agreed that this paper should be accepted because of the strong author response during the rebuttal phase specifically the reviewers appreciated the new ablation study showing that improvements are not due to minor architectural changes the new experiment on the number of time steps required fo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the mental fatigue is an important factor in road accidents finding a direct mapping between eeg features and reaction time is difficult and errorprone combining the noise measurement of eeg and individual ... | the manuscript describes a novel technique predicting metal fatigue based on eeg measurements the work is motivated by an application to driving safety reviewers and the ac agreed that the main motivation for the proposed work and perhaps the results are likely to be of interest to the applied bci community the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes experiments in training a nonautoregressive transformer glancing transformer or glat in a multilingual mt setting the use of a nonautoregressive model plus tokenlevel language tags enab... | this paper proposes several innovations for machine translation the reviewers had several questions about the claims that were made and the authors addressed these and also acknowledged that some of their formulations eg better would need to be qualified overall there are several interesting ideas that have been put to... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a variant of a hamiltonian neural network for learning dynamics models for modelbased rl the proposed network architecture uses encodersdecoders to map the system state x q p from the ob... | the reviewers raised concerns and the authors have not provided a response all reviewers concur that this paper should be rejected at this time and i agree |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work presents an adversarial attack in the blackbox setting where an adversary has access to only logit outputs from the target model the proposed approach combines the ideas from transferbased attacks... | the paper shows that the transfer attack is query efficient and the success rate can be kept high with the zerothorder scorebased attack as a backup experiments show stateoftheart results pros simple method based on a simple idea state of the art performance cons proposal is a straightforward combination of two... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper propose two new conditions for nonlinear identifiability of temporal processes the idea is very promising discovery of conditional independent sources with timedelayed causal relations in between... | this paper proposes two new sets of conditions under which we can identify temporally causal latent processes in this sense this work makes valuable contributions to the theories of identifiability in this topic the authors also propose leap extending the vae to estimate temporally causal latent processes the reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of robust linear regression and demonstrates two algorithms which improves the breakdown point for this algorithm under adversarial attacks compared to prior work the main con... | the paper studies the problem of labeloutlier robust regression with prior on the optimal parameter the reviewers agree that the results are novel and significant there is certainly a concern about the novelty of the method and about additional insights provided by the result however as the paper studies this relativel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of video instance segmentation through associating the objectcentric representation from framewise detector the proposed idea uses transformer local attentions to associa... | all four reviewers are positive about this work with three accept and one weak accept all reviewers appreciate the clear writing solid results and the idea of using local attentions in transformers to associate object token extracted at each frame during the discussion phase the authors further clarified some of the qu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to address the oversmoothness in neighborhood caused by softattention in gnn this paper presents an idea of adaptive receptive fields arfs which can choose contexts on different hops from the central node s... | four knowledgeable referees lean towards rejection because of the missing detailed complexity analysis r1r2r3 the choice of rather small datasets which hinders the rigorous evaluation of gnn models r3r4 missing stateoftheart comparisons r2 and ablations r4 the rebuttal addressed some of the concerns raised by the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
major comments the methods suggested does not apply to realworld classifiers o it required training with strong labels only available in simulation o classification is done based on a lowdimensional inter... | the manuscript presents an approach for identifying sources of uncertainty in object classification tasks by disentangling representations in latent spaces three reviewers agreed that the manuscript is not ready for publication some of the concerns are conceptual flaws weak evaluation protocol and an incorrect interp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors attempt to investigate to what extent languages are hard to conditionally languagemodel they do this by using some information theoretic measures claims there are no statistically signi... | the paper study to what extent languages are hard to model by a conditional languagemodel based on informationtheoretic measurements overall the reviewers value the systematic and extensive controlled experiments present in the paper however the presentation of the paper makes it very hard to follow and reviewers all... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new unsupervised transformer architecture for learning disentangled visual concepts main contributions include the novel transformerbased architecture to represent images as a set of t... | this paper proposes an unsupervised transformer based framework called visual concepts tokenization vct to extract visual concepts from concrete pixels for tackling disentangled representation learning and scene decomposition experiments on several popular datasets validated the effectiveness of vct on the tasks of dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors suggest a method motivated by reservoir computing rough path theory and noncommutative algebra however i find the formulation and the writing difficult to understand and follow and suggest that ... | reviews were positive and unanimously in favour of acceptance authors may wish to consider reviewers concerns in order to maximize the impact and accessibility of their poster at the workshop |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper addresses a behavioral cloning bc distributional shift problem in a pomdp setting the paper proposes to combine strengthsmerits of bc with single observation and bc with historical observation the... | the reviewers unisono do not accept the paper because it is a not wellwritten b experimentally not convincing but addresses a nice problem i suggest that the authors address the issues in a subsequent paper and resubmit to one of the main conferences |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a method to train individual bits of weights of a neural network the central motivation is the question of why doesnt gradient descent discover inherent sparsity by setting certain weig... | this paper presents some interesting new ideas on training binary neural networks however as many reviewers point out the study is quite limited by their experimental section and some technical issues were raised these are criticisms that remain largely unaddressed after the author response hence the paper is not ready... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a mechanism called global batch gradient aggregation gba on parameter server architectures that enables effective switching between synchronous and asynchronous training of deep learning... | the paper identifies and illustrates a practically relevant challenge for training of deep learningbased recommender systems on distributed architectures switching between synchronous and asynchronous training modes the proposed mechanism called global batch gradient aggregation gba is simple but mitigates the need to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper follows up on the work zhou et al on establishing the importance of knoweldge distillation kd from a pretrained autoregressive translation model at to train effective nonautoregresstive translati... | this paper investigates knowledge distillation in the context of nonautoregressive machine translations all reviewers are supportive of acceptance especially after the thoughtful author responses a well motivated and simple to implement approach that is giving good empirical results |
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 point tracking dataset with 1189 real videos three baseline methods are designed to evaluate the performance 1 the research field of video tap is understudied this paper ... | tapvid presents a benchmark that will be highly useful for tracking research for tracking arbitrary physical points on surfaces over long video clips the reviews are all positive with one reviewer raising ethical aspects in preparing the benchmark i find the rebuttal sufficient and adequate and hence recommend accepta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed fire field reepresentation in which each word is represented by a pair of points in the embedding space word sense and scalar fields in the embedding space contextual information polyse... | two reviewers who suggested that we accept the paper had significant engagement with the authors and that improved the paper quite a bit the fourth reviewer also made several suggestions regarding further analysis which also was incorporated by the authors to a large extent and it improved the paper i disagree with t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the overall objective of studying representation learning for image analysis under the various learning paradigms is interesting the dataset and the downstream tasks chosen for this task are relevant and... | all reviewers have brought up concerns about this study however after rebuttal i think the authors have clarified a few concepts eg reconstruction loss by adding new references as well after rebuttal i think at least two reviewers are accepting the work and i recommend a weak acceptance to this work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper provides a new method for solving the active learning problem ie choosing from a set of unlabeled examples that should be labelled and added to the training set the proposed method makes use of n... | the submission considers a new acquisition function for active learning the method considers the sensitivity of the prediction for a given datapoint with respect to parameter perturbations points with the largest variance under these perturbations are selected for labelling the method is simple and the empirical resul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an extension of the arc dataset where tasks are labeled with naturallanguage descriptions that are sufficient for a human to generate the output grid given an input grid without any addit... | the paper addresses the important problem of program synthesis from human natural language instructions sufficient analysis is done on the collected dataset including annotation and data cleaning for quality assurance and the work is a valuable contribution to the program synthesis community based on the reviews i rec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
interesting idea but needs major revision and additional results in this work the authors introduced forgot and relearn framework to unify disparate existing iterative algorithms they draw several insight... | in the paper it introduces a forgetandrelearn framework to the iterative learning algorithm it provides serval new insight that forgetting could be favorable to learning and validates the insights via image classification and language tasks the idea is novel and inspiring although there are some debates on the experime... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new metalearning method based on closedform solutions for task specific classifiers such as ridge regression and logistic regression iterative the idea of the paper is quite interestin... | the reviewers disagree strongly on this paper reviewer 2 was the most positive believing it to be an interesting contribution with strong results reviewer 3 however was underwhelmed by the results reviewer 1 does not believe that the contribution is sufficiently novel seeing it as too close to existing multitask learni... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors contribute an author verification binary classificationsame author or different author and authorship identification 10way classification based on 10 most common contributors dataset centered ar... | this is likely an important dataset for the development of forensic tools for the dark web at the same time it presents a balancing act between making this dataset available and avoiding nonethical use the authors do go a long way in addressing these concerns and most reviewers also feel that their other concerns are a... |
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 hallucinated content in conditional neural generation for two specific tasks machine translation and summarization it proposes a new task for faithfulness assessme... | the paper proposes the novel task of detecting hallucinated tokens in sequence generation and a strategy to train such models using artificially generated samples the methods show reasonable correlation with human judgements the expert reviewers are unanimous in their lack of enthusiasm about this work with overall b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to use a rhetoric knowledge graph for rhetorical text generation one of its key contributions is to construct a rhetoric knowledge graph by leveraging sota ner and relation classificatio... | while the paper studies an interesting and important problem namely the language generation it is poorly written which makes it difficult to judge its value the reviewers also expressed concern over the scope of the evaluation and the lack of comparison to sota |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a steganographic approach called variable length variable quality audio steganography vlvq that encodes variable length audio data inside images with varying quality tradeoffs the method... | this paper presents a steganographic approach called variable length variable quality audio steganography vlvq that encodes variable length audio data inside images with varying quality tradeoffs however according to the reviewers the proposal made in this paper is not novel enough there are many details missing in the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles the problem of neural networks learning simple features which cannot generalize well it proposes to alleviate this problem of shortcut learning by generating synthetic data roadblocks in a... | the submission describes a new method to avoid the shortcut learning behaviour in dnns after the rebuttal and discussion most of the reviewers are positive about this submission since the proposed method does not require prior knowledge about the dataset and the strong empirical results for the debasing task on the neg... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors mainly study the problem of missing data in treatment effect estimation and highlight the importance of addressing this problem the authors propose a selective imputation scheme wh... | in this paper the authors propose a new type of missing not at random model they call the mcm mixed confounded missingness the authors further discuss that given their model naive imputation strategies do not work and a modeltailored imputation strategy is needed the reviewers did not receive the paper favorably with ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new twostep approach for learning disentangled representation in the first step a generator is learned to map latent embeddings to reconstruct images similar to lord the embedding corre... | the paper presents modifying latent optimization for representation disentanglement using contrastive learning resulting in improved performance on disentanglement benchmarks despite the empirical success the proposed algorithm has many moving parts and loss functions most reviewers agree that given the incremental and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper aims to address the problem of lacking sufficient demonstrations in inverse reinforcement learning irl problems they propose to take a meta learning approach in which a set of iid irl tasks are p... | this work proposes to use the maml metalearning approach in order to tackle the typical problem of insufficient demonstrations in irl all reviewers found this work to contain a novel and wellmotivated idea and the manuscript to be wellwritten the combination of maml and maxent irl is straightforward as r2 points out h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work tackles the tasks of video generation prediction and interpolation using a scorebased diffusion modeling approach the main innovation is in using diffusion models to blockwise autoregressively gen... | the paper proposes the use of diffusion model for masked video modeling and shows promising results in video generation and completion all of the reviewers agree that the paper is a good fit for publication at neurips i appreciate that the authors engaged with the reviewers and improved the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
last minute review invitation so limited time this paper highlights the concern of unfair discrimination caused by imputation of missing feature values in graphs a measure of this discrimination risk is f... | the work discusses some of the problems related to fairness that occur when a machine learning model is applied to data with missing values in graphs the authors propose a methodology to compensate for the discrimination across groups all the reviewers and the ac agree that the paper overall idea of the paper is s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new method called disentangled exploration autoencoder deae this new method is based on ge at al zeroshot synthesis with groupsupervised learning to which a modified cyclic lo... | overall the paper makes some interesting and intuitive observations regarding the autoencoders with a cycle consistency and aims at achieving controllable synthesis via a disentangled representation however the overall consensus was that the manuscript needs further iterations in particular the ideas should be made mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel method for autonomous driving based on a single rgb camera on the vehicle the method combines direct control commands from images into steering and an indirect method with a poli... | the paper got split reviews 1x reject 1x borderline reject 1x weak accept 1x accept all reviewers found the impressive performance on the challenging carla leaderboard to be a major strength of the paper reviewer concerns stem from two factors a not enough technical contribution to warrant publication at neurips but r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper discusses three mutual information mi objectives for representation learning in rl referred to as forward state and inverse the forward mi objective models latent dependencies given the ac... | overview the paper tries to answer which mutual information mi objective is sufficient for representation learning repl in reinforcement learning rl three common objectives are considered forward state and inverse the paper shows that only the forward objective is sufficient for learning ie sufficient for learning of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel framework that optimizes auprc in an endtoend manner the main idea is inspired by the theoretical properties of the objective function and the stochastic algorithm the authors sho... | all reviewers agree the paper makes novel contributions for auprc optimization it proposes new batchbased estimator of auprc and studies its approximation error then it develops a new algorithms for optimizing this estimator it also establishes the generalization error of the proposed algorithms via novel listwise st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
batching of similar and independent operations in a neural network computation graph is a common way to improve efficiency through computational parallelism optimization is often applied to the computation ... | this paper describes a new batching strategy for more efficient training of deep neural nets the idea stems from the observation that some operations can only be batched more efficiently in the backward suggesting that batching should be different between forward and backward the results show that the proposed method i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors target singleimage superresolution sr task and study the efficiency runtime memory of the current neural networks on the positive side the paper is a good effort of bringing together works and ... | this paper targets improving the computation efficiency of super resolution task reviewers have a consensus that this paper lacks technical contribution therefore not recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper establishes equivalence of state evolution for approximate message passing amp convex minmax gaussian theorem cgmt and leavingoneout loo for three different problems 1 a robust linear model estima... | three out of the four reviews rated this paper well below the acceptance threshold although the review scores show a relatively large spread i think that the review contents are more or less coherent across the four reviewers the equivalence of the state equations ses a set of equations that macroscopically characteriz... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary in this paper the authors propose a general framework for multitask learning mtl in neural models the framework is general for including some of the current neural models for mtl under the fr... | this paper presents a novel idea of transferring gradients between tasks to improve multitask learning in neural network models the writeup includes experiments with multitask experiments with text classification and sequence labeling as well as multidomain experiments after the reviews there are still some open questi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new perspective on federated learning through the lens of posterior inference the paper designs a computation and communicationefficient posterior inference algorithmfederated poster... | the reviewers raised a number of concerns which are addressed by the authors the paper provides an interestingnovel perspective for federated learning as a posterior inference problem rather than an optimization problem which can potentially allow for faster and more accurate solutions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes solar a model based rl algorithm that learns a low dimensional embedding such that the dynamics within the latent space are linear within this latent space the linear dynamics ... | this paper proposes a method to learn representations to infer simple local models that can be used for policy improvement all the reviewers agree that the paper has interesting ideas but they found the main contribution to be a bit weak and the experiments to be insufficient post rebuttal the reviewers discussed exte... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to learn a probabilistic recurrent statespace model for timevarying dynamics the proposed method combines the kalman filteringbased update rule with deep networkbased encoder and... | the paper addresses a few very important points on sequential latentvariable models and introduce a different view on metarl even though the methods that this paper poses are incremental it is such a hotdebated topic that i would prefer to see this published now |
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