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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors consider the certification and attack of graph convolution networkbased classifier in this work the authors proposed an orthogonal gromovwasserstein ogw discrepancy to quantify the... | this paper proposes a robustness certificate for graph classifiers under orthogonal gromovwasserstein ogw threat models ogw considers symmetriesisometries and does not rely on a fixed node ordering the computation of the certificate is based on convex relations the certificate is demonstrated on a singlelayer gcn graph... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the use of a factored qfunction representation for reinforcement learning that takes advantage of a factored action space in certain appropriate mdps where appropriate is characterized ... | reviewers agree that the problem of factored action spaces in rl is important and that this paper makes novel contributions to this setting the reviewers were satisfied with the postrebuttal discusion and have converged on an accept recommendation on revision the reviewers request that the authors revise the paper ac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new approach to explain the effective behavior of sgd in training deep neural networks by introducing the notion of starconvexity a function h is starconvex if its global minimum lies o... | the proposed notion of star convexity is interesting and the empirical work done to provide evidence that it is indeed present in realworld neural network training is appreciated the reviewers raise a number of concerns the authors were able to convince some of the reviewers with new experiments under mse loss and exp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the relationship of correlation of ranking of networks sampled from supernet and that of standalone networks under various settings they also study the how masking some operations in the ... | this submission received reviews with a very wide range of scores initially 3559 then 5559 in the discussion all reviewers maintained their general position although a private message by the reviewer giving a score of 9 said heshe would consider going down to an 8 because of the high variance i read the paper in detai... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper works on unsupervised discovering keypoints in an atari game frame to help improving atari game performance the keypoint discovery is based on predicting predictable local structure ie ... | reviewers all agreed that this submission has an interesting new idea for learning objectkeypoint representations parts of a visual scene that are not easily predictable from their neighborhoods are good object candidates experimental gains on various atari games are convincing the main drawback at this point is that t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper pursues the research question of how to evaluate representation learning for echocardiographic data ultrasound images of the heart this is tough because available openaccess datasets while valuabl... | the consensus among the reviewers was that this work covers an important topic and a broad number of tasks there were concerns about the documentation reproducibility and accessibility of the dataset but the authors have done a good job in addressing most of these concerns with documentation an api and example notebook... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper designs a multilayer connection structure for neural networks such that the connection architecture supports implementation of a hierarchical classification scheme within these layers it applies... | all reviewers recommended rejection after considering the rebuttal from the authors the main weaknesses of the submission include poorly motivated claims and designs and insufficient experimental comparisons the ac did not find sufficient grounds to overturn the reviewers consensus recommendation |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper claimed they designed a new gnn architecture that achieves stateoftheart performance with lower memory consumption and latency more specifically the proposed model uses memory proportional to the... | the manuscript develops a new and simple graph neural network architecture the proposal make use of only ov number of vertices rather than oe number of edges meaning that it may be useful for scaling to larger problems the didactic figures are especially clear and as is shown in fig 1 the proposed architecture passes m... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two modifications to the recently introduced multiplicative filter networks and their bandlimited variant bacon 1 by introducing skip connections it enables explicit layerwise bandwidth ... | the paper studies multiplicative filter networks which are coordinate neural networks in which each layer applies a multiplicative hadamard product filter and a sinusoidal nonlinearity the paper shows how introducing residual connections and initializing appropriately can lead to networks where the frequency content of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a supervised disentanglement method to learn dynamical systems the method relies on the provision of privileged information true parameters of a sequence in order to disentangle them f... | this manuscript tackles an interesting and significant line of research of longterm prediction and outofdistribution generalization in time series models i strongly believe this problem is an important one to solve however in its current form its novelty is marginal and the experiments fail to decisively show advantage... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper proposes an active learning algorithm in which labels are not acquired when the model chooses to abstain from predicting note confidence score of 1 authors ac this is largely outside my comfort zone ... | in this paper the authors develop the first computationally efficient active learning algorithm with abstention while maintaining the exponential savings in terms of label complexity furthermore the proposed algorithm enjoys other nice properties such as recovering minimax rates in the standard setting the algorithm is... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a hermite variational autoencoder which use ornstein uhlenbeck semigroup to pzizi1 which i denotes the latent layer number it has clear theoretical inspiration and had solid analysis on ... | this paper develops a smoothing procedure to avoid the problem of posterior collapse in vaes the method is interesting and novel the experiments are well executed and the authors answered satisfactorily to most of the reviewers concerns however there is one remaining issue that would require additional discussion as id... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a survey of methods for enforcing lowrankness and sparsity in neural network weights and proposes spark an alternating algorithm for creating lowrank and sparse weight tensors from a pre... | the paper proposes a neural network compression technique based on sparse and lowrank approximations the paper received mixed reviews with one accept one reject and two borderline accepts most reviewers have appreciated the effort conducted for the evaluation three reviewers are nevertheless worried about the limited n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed semivit a semisupervised learning approach for vision transformers the proposed method consists of three stages first unselfsupervised pretraining followed by supervised finetuning and f... | this paper explores semivit a semisupervised learning approach for vision transformers semivit buildon three stages pipeline such as simclrv2 the authors introduce a probabilistic mixup for the semisupervised finetuning stage which gives consistent experimental improvements semivit shows strong empirical results as it... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new parameterization haba of image data for dataset condensation the proposed method decomposes a dataset into two components data hallucination networks and bases and considers the re... | the reviewers originally had concerns but these have been well addressed by the authors in a thorough rebuttal and there is a consensus for acceptance we encourage the authors to incorporate all the comments from the reviewers in the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this papers proposes a way to speedup the training of gbdts via quantization technique they adopt the idea of quantized gradients that is widely used in neural net trainingcompression literature and show th... | the reviewers conclude on an interesting paper with broad messaging that does make sense i do subscribe to it as well i recommend it for acceptance noting that interactions with reviewers were the occasion to provide additional remarks that have to be used to craft the camera ready in particular for the remarks made t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors introduce the notion of stable weight decay the stable weight decay property can be defined in dimension 1 as follow the effective learning rate represents an amount of t... | the paper proposes a novel way to have weight decaylike update rule empirically the authors claim that it improves generalization when applied to momentumbased optimizers and optimizers with coordinatewise learning rates this paper has been thoroughly discussed both in public and private mode the strength of this pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of source detection in an epidemics when one observes the underlying graph and a snapshot of the population at a given time ie who is infected or not infected for a sir or sei... | the paper introduces a gnn approach to solve the problem of source detection in an epidemics while the paper contains some interesting new ideas the reviewers raised some important concerns about the paper and so the paper should not be accepted in the current form in particular the paper does not motivate the ml app... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a variant of stochastic sequence neural network the family of vrnn and srnn this paper adopts the cwvae framework and completes the optimization process under the stochastic sequence neu... | this paper presents the application of the hierarchical latent variable model cwvae which is originally developed in the vision community to the speech domain with meaningful modifications and provide empirical analysis of the likelihood as well as discussions on the likelihood metrics the reviewers tend to agree that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address the problem of how to use unsupervised exploration in a first phase of reinforcement learning to gather knowledge that can be transferred to new tasks to improve performance in a second ... | strengths the paper proposes to include exploration for the pets probabilistic ensembles with trajectory sampling approach to learning the state transition function the paper is clearly written weaknesses all reviewers are in agreement regarding a number of key weaknesses limited novelty limited evaluation and aspec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a new combination of mcts with generalized policies for probabilistic planning the generalized policies are based on the recently developed asnets toyer et al 2018 and are used in the s... | dear authors thank you very much for your submission we are happy to inform you that we have decided to accept it and we look forward to your talk in the workshop please go over the feedback in the reviews and correct or update your papers in time for the camera ready date may 24 best regards hsdip organizers |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new algorithm contrastive entity linkage cel to identify duplicates and variations of entities in catalogues the authors introduce the concept of base entities and entity variations a ... | this paper addresses the problem of unsupervised duplicate resolution of attributes for ecommerce and propose a new approach for this which they call contrastive entity linking overall the reviewers agree that the paper deals with an important problem and that it is wellwritten and motivated |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
good results with a simple baseline compare to several relevant existing works seemingly good overview of the current litterature i am not knowledgeable in neither autoencoder nor unsupervised anomaly det... | this paper presents an indepth analysis of denoising autoencoders for anomaly detection the reviewers raised some initial questions in their comments which were mostly addressed by the authors in their rebuttal all reviewers now agree that the paper is ready for publication at midl based on their recommendation im happ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the infinitely differentiable monte carlo gradient estimator or dice with a better control variate baseline for reducing the variance of the second order gradient estimates the paper is ... | this paper extends the dice estimator with a better control variate baseline for variance reduction the reviewers all think the paper is fairly clear and well written however as the reviews and discussion indicates there are several critical issues including lack of explanation of the choice of baseline the lack more... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers online algorithms for classic graph problems when predictions regarding the requests are provided to the algorithm the key contribution of the paper is to define a new notion of error to... | algorithms via mlbased predictionsespecially for online problemsis a young fastgrowing important area of course the predictions will usually not be perfect and will involve some sort of error as this area is nascent it is vital to develop and analyze different forms of error and for various fundamental problems which t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a way to learn set functions ie find a subset s subseteq v that maximizes some utility function ftheta that we want to learn when we are only giving examples of optimal subsets si subsete... | reviewers have expressed strongly in favour of acceptance two improving their score after the rebuttal and discussion im happy to recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a decentralized kg representation learning approach named decentrl which encodes each entity from and only from the embeddings of its neighbors this approach can therefore account for new... | this paper brings interesting ideas decentralized setting autodistillation but it does not meet the very high requirements that a publication at iclr requires three main reasons for that 1 motivation justification ultimately the paper is advocating for a pure decentralized approach which encodes each entity from and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper proposes a novel adversarial transferability attack ie an adversarial attack when a surrogate model is used to attack an unknown model proposed method works by modifying iterative proceduce to find ad... | this paper studies the transferability of adversarial attacks in deep neural networks in particular it proposes the reverse adversarial perturbation rap method to boost attack transferability by flattening the landscape of the loss function the reviewers acknowledge the strengths of the paper which include effectivene... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new texttoimage generation method that would like to tackle the entangled textual inputs by multitailed wordlevel initial generation create the regioncontextualized text representation... | the reviewers evaluation of this paper are borderlinenegative the ac considered the reviews rebuttal and the paper itself and concurs with the reviewers the ac found that the paper is an extension of previous work dmgan dmgan dynamic memory generative adversarial networks for texttoimage synthesis cvpr 2019 httpsarxi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address a very relevant problem for medical applications of deep learning to my knowledge this is a quite unique approach the authors show convincing qualitative and quantitative evidence i f... | the paper receives unanimously positive reviews from four knowledgeable experts they all agree that though the saliency detection method normgrad is not invented by the authors its use in the context of medical image analysis shows promising results which is clearly demonstrated by the authors they also express some co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a this belongs to the literature of implicit biasinductive bias which has gained a great deal of attention among theoretical enthusiasts with an optimization leaning b the paper is carefully laid out and a... | the paper shows that under a very restrictive assumption on the data relu networks with one hidden layer and zero bias trained by gradient flow converge two a meaningful predictor provided that the network weights are randomly initialized with sufficiently small variances while there is some overlap with a paper by lyu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the nonconvex inner problem bilevel optimization proposed algorithm for such a problem and theoretically show the asyptotically convergence the paper provides the comprehensive study of t... | this paper studies bilevel optimization problems and proposes techniques for disambiguating cases where the lowerlevel objective has multiple optimal solutions the main points the reviewers raise in favor of acceptance are that 1 the paper provides theoretical justification for techniques used to solve ambiguous bilev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes confoundergan a gan whose generator can be used to create a noise to an image to make it unlearnable by creating a spurious correlation between the image and the label the proposed appro... | all the reviewers were excited by the idea and a efficient method to solve very critical problem with rigorous experimental support they all agreed that the paper is above bar for publications we hope the authors will further improve the paper for camera ready submission |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors expose the vulnerability of split federated learning and show how model extraction attacks can be launched by malicious clients querying the gradient information from serverside they proposed f... | the paper studies the vulnerability of split federated learning with model extraction attacks the paper provides five attacks and evaluates them experimentally the authors also provided additional experimental results during the author rebuttal while the topic and techniques are interesting reviewers raise concerns ab... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides an interesting negative result on that polynomial sized discriminator lacks sufficient discriminative power to distinguish the data distribution and generated distribution by a constant d... | the provides a complexity theoretic look at gans the exposition is multidisciplinary and in my personal opinion it is an interesting look at the gans in the context of random number generators |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the parameter redundancy issue in large transformer architectures instead of pruning redundant parameters it strengthens training them to make them contribute better performance to thi... | the paper observes that the number of redundant parameters is a function of the training procedure and proposes a training strategy that encourages all parameters in the model to be trained sufficiently and become useful the method adaptively adjusts the learning rate for each individual parameter according to its sens... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper claims that the previous sparse training methods mainly focus on mlp and cnn and fail to perform very well in rnns hence the authors proposed an approach to train sparse rnns with a fixed flops bu... | the authors introduce an approach to train sparse rnns with a fixed parameter count during training they allow rnn layers to have a nonuniform redistribution across cell weights for a better regularizationthey also introduce a variant of the averaged stochastic gradient optimizer which improves the performance of all s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach for automatically selecting a few frames from training videos to be annotated by humans and for using these annotations to train models for spatiotemporal video understanding... | paper was reviewed by four reviewers and received 2 x weak accepts 1 x reject and 1 x accept reviewers argued that the task is interesting and approach is simple and well motivated some raised concerns included 1 lack of additional comparisons and baselines 2 lack of discussion regarding faraway frames vs nearby frames... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper conducted a detailed study on how does the loss modeling affects the final performance of the pruned model the authors first provided a unified view of various pruning algorithms eg magn... | this paper presents a systematic breakdown and evaluation of several assumptions and algorithmic choices for pruning algorithms as covered in the reviews the evaluation and its conclusion offers a timely contribution to the broader community in particular this paper uncovers the observation that precisely modeling the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two datasets vce samples containing emotion label distributions and v2v containing pairwise comparative labels in terms of degree of pleasantness these datasets can be used to predict em... | overall the paper is capturing a really timely and increasingly important topic although the authors mention that they want to make their dataset particularly useful for academicsfuture research i believe that the topic is of great interest for companies making the raised ethical considerations even more important a cr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an approach to estimating causal effect for populations for which only observational data exists given that experimental data exists for a related population strengths the authors focu... | the authors propose an approach for estimating causal effects when both observational and limited experimental data exists the authors propose falsifying effect estimates from observational data before using the effect estimate on other populations this is an important idea that may improve reliability of causal infere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
final recommendation after rebuttal the authors gave a good rebuttal and the current version of fig 5 and the new fig 6 are making the paper stronger in my opinion however i will stick to my previous ra... | the paper proposes to create models that address tail classes by computing a linear combination over models concatenated weight vectors reviewers had grave concerns about the technical contribution including justification of linear averaging of nonlinear models and about the experimental results which improve on tail c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes two methods for instancewise feature importance scoring which is the task of ranking the importance of each feature in a particular example in contrast to classwise or overall feature im... | the paper presents two new methods for modelagnostic interpretation of instancewise feature importance pros unlike previous approaches based on the shapley value which had an exponential complexity in the number of features the proposed methods have a linearcomplexity when the data have a graph structure which allows... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the ridesharing matching problem and builds the solution upon neuradp the main contribution over neuradp is that the action values of each agent vehicle takes into account the impact of... | this paper extends a recent approximate dynamic programming method ie dp with neural networks for a ride sharing problem an elegant trick is proposed to obtain a more expressive function approximation without suffering a combinatorial explosion of the action space while the idea is somewhat ad hoc in its implementation... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the gradient flow dynamics over smooth homogeneous models with two types of weight normalized parameterization standard weight normalization swn and exponentiated weight normalization ewn... | the main concern is that the results in this paper are based on strong asymptotic assumptions at least more empirical results are needed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new component to the unsupervised machine translation framework called crossmodel backtranslated distillation the proposed approach is applicable to the other unsupervised methods ex... | this paper proposed an additional training objective for unsupervised neural machine translation unmt they first train two unmt models and use these models to generate pseudo parallel corpora these parallel corpora are used to optimize the unmt training objective the experiments are conducted on several language pairs... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a distributed implementation of signsgd with majority vote as aggregation the result is a communication efficient and byzantine robust distributed training method this is an interesting... | the reviewers noticed that the paper undergone many editions and raise concern about the content they encourage improving experimental section further and strengthening the message of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for 3d scene reconstruction from a single image using implicit surface representations such as occupancy or sdf the authors propose to incorporate loss functions on the spatial ... | the paper presents a new way to train the prediction of implicit 3d scene representations from a single view the main innovations are a novel numerically stable and memory efficient formulation of the derivatives of a loss function based on the spatial gradients of the implicit field and focusing the training on region... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper attempts to solve the problem of seeking novel policies in reinforcement learning from a constrained optimization perspective this new perspective motives two new algorithms to solve the... | this paper investigate the interesting problem of policy seeking in reinforcement learning via constrained optimization conditioned on reviewers judgements this is a good submission but hasnt reached the bar of iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method using piecewiselinear neural networks as the surrogate model and the acquisition function in a blackbox optimization framework at each step the acquisition function is optimized ... | the paper considers the problem of blackbox optimization and proposes a discrete mbo framework using piecewiselinear neural networks as surrogate models and mixedinteger linear programming the reviewers generally agree that the paper suggests an interesting approach but they also raised several concerns in their initia... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first evaluate current gradient inversion attacks for both implicit and explicit model changes it shows that when the batch norm mode training epochs skip connection or channel size is different ... | several analyses provided in the paper are not novel and known in the literature the blackbox setting is not properly motivated and impractical the angular lipschitz constant is a good contribution but it seems to be only a small part of the paper for these reasons the reviewers are not convinced that the contribution ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors have previously published the dataset which greatly facilitates reproducing this and related work the techniques and results look promising and interesting for the midl audience the glottis segm... | the paper summarises an interesting journal paper about edgetpu computing the reviewer points out that the underlying publication is of high interest but criticises that the reduction to three pages reduced the readability i agree with them and recommend acceptance but would also encourage the authors to modify where p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper does unpaired crossdomain translation of multiinstance images proposing a method instagan which builds on cyclegan by taking into account instance information in the form of perinstance segment... | this paper addresses a promising method for unpaired crossdomain imagetoimage translation that can accommodate multiinstance images it extends the previously proposed cyclegan model by taking into account perinstance segmentation masks all three reviewers and ac agree that performing such transformation in general is a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a future frame prediction framework where the video generation can transition between different actions using a gaussian process trigger the framework consists of three component... | all three reviewers agree on accepting the paper and think that the proposed approach will be of interest for those working in vdieo prediction the authors are asked to include the extra discussion with r3 as part of the paper and include the proposed changes by r2 to provide more thorough experimentation the paper i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces learnable compressible subspaces which attempts to learn a set of models that can be switched at inference time to adapt to different resource requirements this work is motivated by pr... | this paper proposed a method for adaptive network compression at inference time however the paper contains various issues raised by the reviewers that needs to be addressed |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a method on semisupervised graph classification for each graph the method first constructs another view based on the cosine similarity between nodes features and from the two views top... | all four reviewers expressed very significant and consistent concerns on this submission during review no reviewer is willing to support this submission during discussion it is clear this submission does not make the bar of iclr |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper generalizes the recent results martins et al 2020 2021 on continuous attention mechanisms to sparse multimodal density classes which referred to as kernel deformed exponential families the authors... | this is solid contribution overall the paper is well written and the notation easytofollow the authors spent a lot of effort to address the clarity issues by reviewer pefu requiring numerical integration is a limitation but it is clearly acknowledged in the paper we recommend acceptance minor additional remarks the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper a new selfsupervised learning ssl paradigm for sequence recommendation by contrastive learning between positive and negative views of sequences based on model augmentation the model augmentatio... | this paper proposed a selfsupervised learning view for sequential recommendation with different forms of model augmentation neuron masking layer dropping and encoder complementing overall the scores are negative the reviewers raised concerns mostly around the motivation of the proposed approach which wasnt fully suppor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deals with a class of cooperative marl problems with permutation invariance it first shows that for such problems there exists an optimal policy that is permutation invariant and the value functi... | this paper proposes a new multiagent rl algorithm based on the ppo algorithm that uses a meanfield approximation which results in a a permutation invariant actorcritic neural architecture the paper includes a detailed theoretical analysis that shows that the algorithm finds a globally optimal policy at a sublinear rate... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study the problem of doing inference on a logistic regression model with an l1 penalty in high dimensions where the number of features in the dataset is at least as large as the size of the data... | the decision is to accept this paper the paper presents a method for producing asymptotically valid pvalues when testing the null hypothesis of conditional randomization tests in sparse logistic regression the method builds on a previous distillation method that examines correlations between residuals for the label y ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the use of pacbayes theory for nlp tasks is rare although i know little on nlp the paper proposition to leverage on pacbayes for evaluating the benefit of various incidental supervision signals seems promi... | this paper first makes the observation that incidental supervisory data can be used to define a new prior from which to calculate a pacbayes generalization guarantee this observation can be applied to any setting where there is unsupervised or semisupervised pretraining followed by finetuning on labeled data the pacb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
despite the limited novelty of the work it address a relevant problem for the medical society a novel dataset of about 1000 labelled images has been proposed the paper is well written and easy to read a... | according to the reviewers the quality of the paper improved alot during the rebuttal phase 2x strong accept 1x weak accept i also recommend acceptance of the paper the authors explained the data set split in more detail and provided other very important information that helps in reproducing the work the method was eva... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary learning disentangled representation is often considered an important step to achieve humanlike generalization this paper studies how the degree of disentanglement affects various forms of generali... | the paper seeks to empirically study and highlight how disentanglement of latent representations relates to combinatorial generalization in particular the main argument is to show that models fail to perform combinatorial generalization or extrapolation while succeeding in other ways this is a borderline paper for empi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new approach for video action recognition by casting the problem as an image recognition task the video clips are rearranged into a super image according to a predefined spatial layout... | this paper regards video understanding as an image classification task and reports promising performance against state of the arts on several standard benchmarks though the method is quite simple it achieves good results the visualization in this paper also provides good insight all reviewers give positive recommendati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies predicting multiagent behavior using a proposed neural network architecture the architecture called a relational forward model rfm is the same graph network proposed by battaglia et al 20... | pros interesting application of graph networks for relational inference in marl allowing interpretability and as the results show increasing performance better learning curves in several games somewhat better forward prediction than baselines cons perhaps some lingering confusion about the amount of improvement o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on the worst group optimization distributional robust optimization problem with few spurious attributes are available as a validation set they aim to achieve similar performance with metho... | this paper presents a new method to decrease the supervision cost for learning spurious attributes using worstgroup loss minimization their method uses samples both with and without spurious attribute annotations to train a model to predict the spurious attribute then use the pseudoattribute predicted by the trained mo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
goal this work presents an experimental investigation that shows the impact of training selection bias in gnns bias with respect to the test data it also proposes a decorrelation approach to eliminate th... | this paper explores a very challenging problem of biased label selection and its effect on graph neural networks it highlights that gnns are indeed vulnerable to this issue and then proposes a regularizer to reduce the learning of spurious correlations from the node embeddings all of the reviews agree that the problem ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes confident adaptive language modeling calm to earlyexit dynamically during the decoding process the authors provide a theoretical guarantee that local confidence measures could lead to th... | this paper studies the error of early exit in decoding transformer language models and proposes a method calm to calibrate and accelerate model inference experiments on a variety of tasks summarization mt qa show effectiveness of the proposed method all reviewers find the paper solid and the author feedback convincing... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies a fundamental and important research approach in network pruning iterative magnitude pruning imp previously imp is criticized to be timeconsuming layerindependent and suboptimal in perform... | the paper provides an analysis of the well known method of iterative magnitude pruning imp for dnn compression the problem tackled is undoubtably an important one and imp is likely one of the most known solutions for dnn compression as such there is no doubt that the paper is well motivated in addition to the motivated... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper empirically evaluates distillation approach for privileged features teacher is trained with privileged features that are not available during inference and student then aims to replicate performan... | there is a consensus that the insights on the distillation of privileged information presented in the paper are interesting eg possibility of distillation even if the privileged information is independent from x nonmonotonicity of the impact of privileged information vs correlation with the target feature which is why ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
post rebuttal and discussion several reviewers have pointed out that the paper needs more comparisonsablations with existing models eg paranetfastnet to this end i think we at least need a comparison with ... | non autoregressive modelling for text to speech tts is an important and challenging problem this paper proposes a deep vae approach and show promising results both the reviewers and the authors have engaged in a constructive discussion on the merits and claims of the paper this paper will not be the final vae contribut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the contribution of the paper is to set up an automaton from sctltl formulas then corresponding mdp that satisfies the formulas is obtained by augmenting the state space with the automaton state and zeroing... | the authors present an interesting approach for combining finite state automata to compose new policies using temporal logic the reviewers found this contribution interesting but had several questions that suggests that the current paper presentation could be significantly clarified and situated with respect to other l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new data distillation approach based on neural feature regression that is similar to a truncated backgprop through time using a pool of models the approach sets a new stateoftheart res... | the paper proposes a new algorithm for dataset distillation based on two key ideas 1 train a linear layer given the fixed feature extractor and 2 use a diverse set of modes as feature extractors the paper has received overwhelmingly positive reviews many reviewers find the algorithm effective the paper wellwritten and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a posttraining pruning framework for transformers without retraining it prunes of both heads in mha and filters in ffn layers in a structured way the process is done by applying a lightw... | the authors deliver on what they promise a fast posttraining pruning framework for transformers it reduces the inference costs of deploying transformers while preserving much or all of their accuracy on the standard range of academic downstream tasks moreover it does so without the hefty costs that typically come with ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses the problem of doing unsupervised learning of visual representations including clustering these representations to infer the existence of new categories the paper focuses on more uncura... | this paper tackles a smallbatch online unsupervised learning problem specifically proposing an online unsupervised prototypical network architecture that leverages an online mixturebased clustering algorithm and corresponding em algorithm special features are added to deal specifically with the nonstationary distributi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors suggest that conditioning on and generating explanations of a task or problem yields only minimal gains over raw incontext learning but that the validity of such explanations may be correlated w... | the authors perform an analysis that suggests that explanations may not provide reliable signal in fewshot incontext learning showing that adding explanations yields only minimal gains over raw incontext learning they then develop an approach to approximate the reliability of predictions automatically using these expla... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this work proposes cvade which is an extension of variational based deep clustering model vade with additional incorporation of prior clustering preferences as supervision these priors guide the und... | we thank the authors for their detailed responses to reviewers and for engaging in a constructive discussions as explained by the reviewers the paper is clearly written and the method is novel however the novelty is to combine existing ideas and techniques to define an objective function that allows to incorporate clu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a theoretical framework that studies shapley value in the context of markov games as a useful technique for value factorization and credit assignment in agents coalitions leveraging this... | reviewers appreciate that the paper is making an insightful contribution to the important field of cooperative marl and its connection with cooperative game theory the paper is clear and mostly well motivated and the theoretical analysis and empirical evaluation are sufficient |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel diffusion model for molecular conformer generation the proposed diffusion model is operated in the space of torsion angles of the conformer an extrinsictointrinsic score model is... | this paper proposes a diffusion model for molecular conformation prediction in the space of torsion angles the idea is new and the experimental results are strong all reviewers like this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a stochastic process filex to abstract out the essence of deep learning based emergent language systems filex follows the intuition that the more a word is used the more it will be used... | this paper proposes filex a mathematical model to capture lexicon entropy in emergent language systems the paper tackles an important and interesting problem in a field emergent language where relatively less theory currently exists however the reviewers find the experiments not convincing enough eg they do not evalua... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present myriad a testbed written in jax which enables machine learning researchers to benchmark imitation learning and reinforcement learning algorithms against trajectory optimizationbased meth... | this paper provides a testbed called myriad for trajectory optimization and system id in jax with the hope of engaging rl practitioners to benchmark against the test bed the proposed testbed provides examples ranging from different domains such as medicine and biology deviating from traditional domains that are usually... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a ganbased approach to quantify both outofdistribution and indistribution uncertainty in image classification specifically the authors use gans to generate examples from the outofclass r... | the authors propose a new approach for training image classifiers with complete uncertainty quantification based on generative adversarial networks the main idea is to use gans to shield each class separately from the outofclass ooc regime this is done in combination with a onevsall classifier in the final dnn layer tr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors studied the optimization problem of shallow and deep neural network they showed that under the nondegeneracy condition on certain gram matrix gradient descent gd can converge to 0 ... | this paper studies optimization of overparametrized neural networks in the meanfield scaling specifically when the input dimension in larger than the number of training samples the paper shows that the training loss converges to 0 at a linear rate under gradient flow its possible to extend the result by random feature ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors compare empirical frequentist coverage of predictive intervals for several uncertainty quantification methods the paper covers both classification and regression the authors define an... | overall the reviewers agree that there is definite value in the empirical evaluation you have provided however as you have acknowledged in your responses to the reviewers the presentation could be significantly improved a final point that was not touched upon by the reviewerswhere possible eg certainly not imagenet but... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a change to an established approach sun et al 2019 for performing inference in bayesian neural networks which works directly in functionspace rather than weightspace the previous work by... | the review process for this manuscript is complex the reviewers are not in consensus most of them have engaged considerably with the original submission as well as the significant updates that the authors have made to the manuscript post submission in my opinion new full covariance rank results are what make the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an approach to reasoning about the relations in a knowledge hypergraph using sparse and local hypergraph reasoning their main motivation is to make learning and inference efficient in ve... | in light of the discussion and the rebuttal we find that this paper can be accepted we strongly encourage the authors to address the clarity and accessibility suggestions raised by the reviewers in their revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper under review studies the question of whether gradient descent can solve the problem of calibrating a deep neural network for separating two submanifolds of the sphere the problem studied in the pa... | this paper introduces the multiple manifold problem in a simple setting there are two data manifolds representing the positive and negative samples and the goal is to train a neural network or any predictor that separates these two manifolds the paper showed that this is possible to do with a deep neural network under... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present the interesting and important direction in searching better network architectures using the genetic algorithm performance on the benchmark datasets seems solid moreover the learned insig... | this paper proposes a genetic algorithm to search neural network architectures with locally dense and globally sparse connections a populationbased genetic algorithm is used to find the sparse connections between dense module units the local dense but global sparse architecture is an interesting idea yet is not well st... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this work the authors propose a generative model for jointly learning a representation of nodes and communities in a joint framework the authors perform a wide variety of experiments on community overl... | the paper proposes a new method to learn representation and community structure of a network jointly the reviewers agree that the paper contains some interesting ideas but they raise also some important concerns for example even after considering the authors rebuttal the paper seems not too novel in particular the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes taisu a largescale multimodal dataset that contains over 166m images and 219m chinese captions along with a new framework for acquiring and cleaning imagetext data the experiments on dow... | the reviewers are positive regarding the high level of the contribution of the work for the neurips 2022 track datasets and benchmarks the authors properly addressed all reviewers comments and concerns during the rebuttal period |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes mixed distributions over convex polytopes such as the probability simplex the proposed distributions are a discrete mixture over the faces of the polytope of continuous distributions on ... | this paper proposes mixed distributions over convex polytopes and provides theory for mixed distributions that is relevant to the machine learning community all of the reviewers were positive and agree that this is a solid contribution i agree and i believe that this paper stands a chance of being a foundational paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a very specialized example to show that gradient descent on the crossentropy loss without regularization leads to poor margin which is very unrealistic moreover i have the following conc... | the paper challenges claims about crossentropy loss attaining max margin when applied to linear classifier and linearly separable data this is important in moving forward with the development of better loss functions the main criticism of the paper is that the results are incremental and can be easily obtained from p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a new contrastive audiovisual learning method like previous work they use selfsupervision to learn a video feature set by training a network to associate audio and visual views t... | the paper received mixed reviews while anonreviewer1 and anonreviewer2 liked the idea of jointly learning globallocal representations the other reviewers were concerned about the technical novelty reviewers also raised various questions about the experiments and ablation studies ac found that the rebuttal well addresse... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the neural uncalibrated photometric stereo method under the single directional lighting setup following recent neuralfieldbased algorithm the method simultaneously predicts surface attri... | this paper had reviews ranging from a reject to a weak accept the key shared concerns among reviewers were concern about how much is really new relative to the cvpr paper li et al 2022 the most negative reviewer who is quite expert in this field engaged strongly in the discussion with the authors highlighting sustain... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper presents a variational framework for multitask learning where for each image classification task the feature representation z and the classification parameter w of the other tasks serve ... | this paper presents a probabilistic model for multitask learning with representation learning the basic idea is to share information across tasks by making the prior over the model parameters of one task conditioned on a convex combination of the variational posteriors of the other tasks while some of the reviewers ga... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the training dynamics of gd and sgd in mildly overparameterized neural networks specifically the major result focuses on the earlystage training dynamics and proves that the loss decrease... | there was an extensive discussion of the article concluding in reviewer recommendations weak accept borderline accept and accept although there were some reservations particularly about the assumptions on the data model and loss the reviewers found that the article is wellwritten technically sound that it studies impor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper explores the potential of generative models for adversarial robustness it presents some interesting and well formulated findings but is lacking in some meaningful ways it does a good job of sum... | adversarial defense is a tricky subject and the authors are to be commended for their novel approach to this problem the reviewers all agree that there is promise in this approach however after reviewing the discussion they have all come to the conclusion that the robustness of your generative model needs to be more th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the overall goal of the paper is to make endtoend dialogue systems more empathetic so that they can respond more appropriately and in ways that acknowledge how the users are feeling the authors make two con... | the reviewers raised a number of concerns including the usefulness of the presented dataset given that the collected data is acted rather than naturalistic and the large body of research in affective computing explains that models trained on acted data cannot generalise to naturalistic data no methodological novelty in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies the problem of online or incremental learning in temporal graphs dynamic networks and more precisely whether past data can be discardedignored without losing predictive accuracy under the ... | this is an empirical paper that proposed a few different settings for applying gnns on temporal data including what context window to use codestart vs warmstart incremental training vs static this paper also proposed and released a few more temporal graph datasets which could be useful the consensus assessment of the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a topological regularization method for incorporating topological prior knowledge for shaping data embeddings this is achieved by introducing a new family of loss functions based on the ... | this paper proposes loss functions to encode topological priors during data embedding based on persistence diagram constructions from computational topology the paper initially had some expositional issues and technical questions but the authors did an exceptional job of addressing them during the rebuttal periodnearl... |
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