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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes a novel way to do bayesian inference with deep learning models by employing a metalearning approach this is done by creating a synthetic prior over datasets training a deep learning mod... | this paper presents a method for using transformer models to perform approximate bayesian inference in the sense of approximating the posterior predictive distribution for a test example this seems similar to doing amortized variational inference using a transformer model the reviewers all found the paper to be clear... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper study the adversarial robustness in transductive learning where the defenders can update the models during test time by interacting with the adversary in multiple rounds the authors propose greed... | the paper formalizes the adversarial attack problem for transductive defenses where the model is sequentially updated with a batch of adversarial test inputs the paper comes up with a quite generic attack scheme and their instantiation of this scheme shows that rmc and dent are not robust respectively not more robust t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper contributes three new datasets to evaluating seven robustness hypotheses strengths 1the introduced three databases would be valuable to probe the generalization of classifiers in the real worl... | the authors propose a new dataset to evaluate the robustness of image classifiers the dataset consists of data from three sources a crowdsourced dataset collected by the authors called imagenetrenditions images from google street view and data sampled from deepfashion2 this new dataset allows the authors to test robust... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a suite of long sequence processing tasks to benchmark efficient transformer variants in terms of their accuracyspeed tradeoff the benchmark tasks are constructed following six desiderta... | the paper attempts at providing a general benchmark for evaluatinganalysis of long range transformer models consisting of a 6 evaluation tasks the main goal of the paper is to remove conflating factors such as pretraining from model performance and keeping the benchmark accessible all reviewers agreed that these are im... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates a novel learning scenario where the learner has limited access to the global data distribution and can share learned model parameters with a socalled service provider through multipl... | the paper proposed a novel assisted learning scenario which would likely be useful for organizational level learners ie learners with sufficient computational resources but limited and imbalance data the paper is generally well presented but there are shared concerns amongst the reviewers in the significance of technic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes prospect pruning prospr to handle the problem of shortsightedness of existing methods the main idea is to use metagradients through the first few steps of optimization to determine which... | this paper is proposed to address neural network pruning at initialization with the help of metagradients considering the highorder relations between loss and optimization of trainable subnetwork the paper is well organized and written with the clear logic the discussions of related works as well as their limitations a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
sequential classification problems where there is an existing hierarchy among the classes with one class transforming into the next set of classes are commonly observed in many clinical settings of disease ... | the paper presents a method for transforming a multiclass multimodal classifier into a multistage classifier increasing the efficiency at runtime and only using the necessary modalities for prediction most reviewers agree that this is an important problem for the community and has a high potential for impact reviewer f... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the setting of the paper is about making predictions from predictions given a deployed model and decision subjects may best respond to it how will their target variable y change the goal for the authors is... | strengths problem is well motivated and stated writing is clear interesting and important identification problem useful results on sufficient conditions causal assumptions are made explicit see also weaknesses weaknesses very strict assumptions on causal structure specifically that haty does not affect x assumpt... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper addresses type iii label noise correction problem in which the labeling noise depends on the features they assume that we can obtain a small amount of cleanly labeled data and use an energybased ... | the authors present an algorithm for label noise correction when the label error is a function of the input features strengths well motivated problem and a well written paper weaknesses the reviewers raised concerns about theoretical guarantees on generalization it is not clear why energy based autoencoder contras... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is an ambitious paper that tackles an important problem how to train generalpurpose and datadriven optimization frameworks the main idea of the paper is to explore symbolic learning to optimize l2o by ... | the paper proposes a method for learning to optimize l2o by distilling a numerical l2o optimization rule into a simple mathematical rule mathematical equation using specialpurpose student learning algorithm the motivation for using a symbolic distillation is to provide interpretability and scalability of the trained o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an agent architecture with two independent policy networks called go and stop and an assignment mechanism consisting of a network or a rule that activates one of the two every step the... | the paper proposes a hierarchical policy architecture with two substituent policies go and stop and a controller mechanism for switching between them on every step either a rule or a learned network taking inspiration from neuroscience concepts of inhibition both are trained via soft actor critic on the subset of state... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focuses on quantifying the impact of a scanner on the performance of a deep learning system in histopathology the paper is well written i believe that this work could potentially be useful to the... | two reviewers gave different opinions for the final rating the authors should further supplement more experiments to prove the effectiveness of their method comparing the work to other methods in literature i agree with the supporting reviewer that this work has merits and would maintain acceptance for this conference... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary glue is a benchmark consisting of multiple natural language understanding tasks that functions via uploading to a website and receiving a score based on privately held test set labels tasks include ... | this paper provides an interesting benchmark for multitask learning in nlp i wish the dataset included language generation tasks instead of just classification but its still a step in the right direction |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the problem of risksensitive rl and prove regret bound under a class of risksensitive objectives including cvar the results build on a novel cvar objective and optimistic mdp strengths t... | this paper proposes an optimistic algorithm for regret minimization of risksensitive measures in tabular episodic mdps it shows that this algorithm achieves a sqrts3 a2 k l polyt regret bound where k is the number of episodes t is the episode length and l is the lipschitzconstant of the weighting function associated w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes value target lower bounding to improve the bellman value target during value function learning the proposed method computes and utilizes a lower bound for the value target during bellman... | after reading the reviews and the author feedback i lean towards rejection the paper is not ready for publication for the following reasons reviewers found that there is a lack of comparisons to other baselines and not enough discussion on the difference between lower and upper bounding reviewers found that the pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an improved embedded topic model that considers an existing knowledge about the topic hierarchy that can potentially alleviate biased and longtail topics and words it considers such hier... | learning hierarchies of themes has been a challenging field that saw considerable work about ten years ago but has largely been abandoned due to poor results and inefficient algorithms im interested to see this and other work reviving interest my prior for hierarchical topics is that they are difficult to construct bec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies regret minimization in infinitehorizon averagereward mdps they propose a new algorithm based on indexed minimum empirical divergence imed bandit algorithm and show that the new algorithm ... | regret theory for ergodic undiscounted infinitehorizon mdp was largely an open problem the authors made an effort to fill in this gap all reviewers see merits of the analysis and the rebuttal has addressed most of the reviewers concerns please make sure to incorporate necessary changes and add missing citations while p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to use mixture models of policies and present good experimental results the approach is quite sound and the experimental results looks solid however there are some concern... | the paper studies mixture of expert policies for reinforcement learning agents focusing on the problem of policy gradient estimation the paper proposes a new way to compute the gradient apply it to two reinforcement learning algorithms ppo and sac and demonstrate it in continuous mujoco environments showing results tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the description of the prior uncertainty problem is laid out very clearly and the proposed approach is very elegant both in the basic formulation and in the solution via relaxation plus passing to the dual... | meta review the authors address the problem of prior misspecification in optimal bayesian experimental design if the bayesian scientist has a precise prior an experimental design could be selected by choosing the design that maximizes expected information gain however the scientist may not have a precise prior the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses learning of robot dynamics models they propose to learn the massmatrix and the potential forces which together describe the lagrangian mechanics of the robot the unknown terms are param... | the paper looks at a novel form of physicsconstrained system identification for a multilink robot although it could also be applied more generally the contributions is in many simple this is seen in a good light r1 r3 or more modestly r2 r3 notes surprise that this hasnt been done before results are demonstrated on a ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a general framework for policy optimization of constrained mdp compared with the traditional methods such as lagrangian multiplier methods and trust region approach this method shows bet... | this work is novel reasonably clearly written with a thorough literature survey the proposed approach also empirically seems promising the paper could be improved with a bit more discussion about the sensitivity particularly as a twotimescale approach can be more difficult to tune |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a graph neural network architecture for analyzing dynamic brain imaging data the proposed approach uses both structural connectivity via dwi and functional connectivity via fmri to setup... | this paper proposes a graph neural network model to estimate latent dynamics in the human brain using functional magnetic resonance imaging fmri and diffusion weighted imaging dwi the representation is tested on a classification task while reviewers acknowledge the importance of this application various concerns have b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the problem of anomaly detection in nonlinear processes the main idea is to employ polynomial neural architecture for feature extraction that describes the dynamical system the exper... | the paper focuses on anomaly detection in dynamical systems from time series measurement the originality of the contribution is to detect anomalies not based on the detection of ood observations but from identified parameters or statistics of the dynamical system they are using polynomial neural networks all the review... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper incorporates generalized additive models gams with model distillation to provide global explanations of neural nets fullyconnected nets as blackbox in the paper it is well written with de... | this paper introduces a distillation approach for blackbox classifiers that trains generalized additive models gam an additive model over feature shapes thus providing global explanations for the model given the importance of interpretability the reviewers appreciated the focus of this work the reviewers also found the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors notice that entropy regularized optimal transport produce an upper bound of a certain model likelihood then the authors claim it is possible to leverage that upper bound to come up with ... | the papers strength is in that it shows the log likelihood objective is lower bounded by a gan objective plus an entropy term the theory is novel but it seems to relate closely to the work httpsarxivorgabs171102771 the main drawback the reviewer raised includes a its not clear how tight the lower bound is b the theory ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 the paper is wellmotivated removing the dependence of sample size for greedy selection is very meaningful for application in largescale data analysis 2 the paper is mostly technical sound i have gone th... | meta review the paper offers a new method for greedy selection applied to kcenter clustering and convex hull approximation with a runtime complexity which is independent of sample size reviewers found the contribution novel important and sound the methods advantage lies mainly in the smallk regime but this is an intere... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose addition of group sparsity regularizer into the ftrl framework and derive update rules of adagradadam they demonstrate the effectiveness by inducing sparsity on several models used in the be... | the paper presents a generic way to add group sparsity based regularizers to a family of adaptive optimizers leading to generalizations of many popular optimizers adam adagrad etc to their group versions overall the reviewers appreciated the algorithmic contribution and its genericness in terms of application to most ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper authors proposes an algorithm to use dirichlet prior on the variational autoencoder vae they used this prior as natural conjugate to likelihood distributtion of multinomial categorical the pap... | this paper applies dirichlet distribution to the latent variables of a vae in order to address the component collapsing issues for categorical probabilities the method is clearly presented and extensive experiments are carried out to prove the advantage against vaes with other prior distributions the main concern of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper looks at learning a policy from multiple demonstrators which should also be safely improved by an reinforcement learning signal they define the policy as a mixture of policies from the single demo... | the paper studies safer policy improvement based on nonexpert demonstrations the paper contains some interesting ideas and is supported by reasonable empirical evidence overall the work has a good potential the author response was also helpful that said after considering the paper and rebuttal the reviewers were no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
uncertainty estimation is a hot topic in the community in order to detect erroneous results false negative or false positives in the test set novelty the estimation of the uncertainty maps based on concept... | with this work the authors make a step toward the clinical application of disease detection systems here for prostate cancer the system identifies outofdistribution samples in an unsupervised way using an uncertainty measure obtained after training an autoencoder being able to deal with data sets that might differ from... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work presents a platform for supporting machine learning research on therapeutics it consists of easily accessible datasets 66 in total for a variety of machine learning tasks instances of graph represe... | the paper makes a significant contribution in terms of datasets models and public infrastructure that has the potential to accelerate machine learning for drug discovery |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies an important topic for current transformer architectures accelerating the speed and memory consumption for self attention operations the proposed method leverages tiling and recomputation... | the authors study the problem of improving wallclock time of performing exact and approximate attention in transformer networks towards this they identified the number of hbm access as a limiting factor the authors propose flashattention which employs tiling and fusion operations to efficiently implement the attention ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper a new training strategy which integrates conformal prediction in training stage is proposed the proposed training algorithm uses an additional regularization term that encourages the conformit... | decision accept this paper extends conformal prediction techniques to multiclass classification using deep neural networks and make the training of the neural network to be aware of the conformal inference processing the main technical contribution is a differentiable objective to approximate a cdfbased test on the co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper proposes a set of data augmentation approach to improve the fairness of gnns it first provides an upper bound on the correlation between the gnn node representations and a given sensitive a... | this paper studies augmentationbased methods to improve gnn fairness specifically based on upper bounds they propose augmentation tricks to reduce such bounds empirically validated from benchmark datasets before rebuttal there was a negative consensus that evaluation results are inconclusive and important stateofthea... |
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:
update thanks for the response from the authors the comments 345 from authors convincingly address my concerns regarding other classifierbased metrics note that not all of them requires separate training an... | this paper received two clear accept one accept one borderline accept and one reject review r4 identified that the paper falls short in discussing recent works from cvpr and eccv 2020 on the image inpainting and completion tasks which also tackle challenging scenarios in these tasks the authors improve their related wo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a method to decide when to ask for experts help to improve the task performance of embodied agents instead of using heuristics eg model confusion or expanding the action space of the emb... | i thank the authors for their submission and active participation in the discussions this paper introduces a method for learning a policy that can ask an expert for help ie to obtain the expert action on the positive side reviewers found the method to be general uya8 original and significant gw2r intruiging in terms of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a new architecture dual adversarial transfer network for addressing lowresource ner they achieve a new sota on low resource language the authors compare a baseline with two alternatives ... | a focused contribution that is clearly presented that being said the task of lowresource named entity recognition is fairly narrow and it is hard to tell how significant the empirical results are the paper could be much stronger if it evaluated on a second task and third task right now it is unclear whether the techniq... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper contributes a a continuous version of the mdp homomorphism and b a homomorphic policy gradient an approach based on lax bisimulation metrics learns a policy and a continuous mdp homomorphism simu... | the paper a new algorithm for representation learning in rl based on mdp homomorphism the paper presents a nice theory the algorithm is well motivated and the experiments are convincing the concerns of the reviewers such as comparisons with dbc or dm control suite with distractions have been addressed adequately by the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper describes a very nice approach taking the unique features of neonatal brain mri data into account and adapting to them the honest discussion and acknowledgement of why narrowage methods deliver b... | this work presents develops a method for segmentation of infant brain with the aim of making the method robust to differences in intensity and brain appearance at different ages of the infant overall the reviewers agree that the work tackles a very interesting problem the main concerns of the reviewers primarily inv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce an approach for constraining the actionstate space of rl algorithms with the premise to speed up their learning to this end two types of constraints are introduced coupled and embedded... | the paper presents a simple and interesting idea to improve exploration efficiency using the notion of action permissibility experiments in two problems lane keeping and flappy bird show that exploration can be improved over baselines like dqn and ddpg however action permissibility appears to be very strong domain kn... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper addresses the countingbased vqa scenarios as well as general object counting problems on the vqa side following 1 they rely on gridbased featurespredictions vs regionbased annotationpredi... | the paper proposes a modification of the wellknown film model for vqa which targets counting problems in particular which have been a known weakness of existing models the improvements have also been tested beyond counting the experimental results are convincing in particular a scientific competition has been won the r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method for distillating potentially any policy into a symbolic policy in prepositional logic basic maths operations applied in 2d video games based on the atari nes and genesis emulato... | after going over the reviews and the rebuttal and skimming the paper i feel like unfortunately this paper is not ready to be accepted my reasoning is as follows i feel the comparison with a2c and ppo is not and should not be the main target of the work of course they are good to have as reference points and they shoul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method to perform objectgoal navigation ie goto the table based on active semantic mapping specifically the proposed approach contains a semantic mapping module that hallucinates unsee... | this paper addresses the problem of goal navigation in unseen environments by learning to build a local then a registered global occupancy and semantic map of object categories from reprojected rgbd observations while extrapolating hallucinating unseen observations from contextual semantic priors eg tables are usually ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tries to solve the data imbalance problem in conditional gan by adding a classification loss as the constraint this constraint can be seen as weighted softmax and the weight is the smoothed numb... | the authors have provided very detailed responses and added additional experimental results which have helped address some of the referees concerns however since the modification made to a vanilla gan algorithm is relatively small the reviewers are hoping to see the experiments on more appropriate realworld datasets no... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
given recent finding shows that vits are more robust than cnn this paper investigates an intriguing question under what kinds of perturbations do vits become weaker learners compared to cnns they propose a ... | this paper provides an interesting study on the adversarial robustness comparisons between vits and cnns and successfully challenges the previous belief that vits are always more robust than cnns on defending against adversarial attacks specifically as revealed in this paper when the attacker considers the attention me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overview this paper proposes a postcalibration technique that is meant to be more powerful than temperature scaling without introducing overfitting the authors argue that previous attempts to generalize t... | paper summary this paper considers calibrating the output of a multiclass classifier in such a way that the output probabilities approximately are approximately correct they observe that if such a method is able to reorder the logits then it will change the accuracy of the classifier therefore if they use a calibrato... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles an rl problem setting in which the actions available to an agent vary from episode to episode and the optimal action in some states depends on the other actions that are available the aut... | this paper studies the problem of how to train an agent to understand relationships and dependencies among available and potentially changing actions in an rl environment to more efficiently solve a task for instance in the absence of a hammer for the task of putting up a painting on a wall the agent could use an alter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of paper a series of empirical observations are made about the influence of scale of init on generalization in particular that a continuum of generalization performance from random to very good can ... | this paper provides a clear and useful empirical study of how the initialization scale and activations function affects the generalization capability of neural networks previous works showing the effect of the initialization scale chizat and bach 2018 geiger et al 2019 woodorth et al 2020 had a more limited set of expe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a cross modal audio and video contrastive learning scheme to pretrain on one of the modalities they also propose a sampling scheme for the negative examples the experiments and the cor... | the paper focuses on the task of learning audiovisual representations through contrastive learning on unlabelled videos this work is another addition to the evergrowing literature on selfsupervised learning ssl with emphasis on video and multimodal data the main contribution of this work is the manner in which it tackl... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies differential private estimation by taking advantage of some public data it has been shown that some improvements on the sample complexity can be made when given a certain amount of public... | this paper studies private estimation with a small amount of public data the idea is that the small public dataset may allow for significantly stronger positive results eg in terms of sample complexity of private data the authors study two fundamental settings in this direction estimating a gaussian and a gaussian mix... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel approach for getting a nerf to output both i the standard color and novel for this work ii zero shottrained features that can be used for semantic segmentation decomposition ed... | the paper proposes an approach for manipulating 3d scenes represented with implicit neural representations nerflike via distilling 2d feature extractors into a 3d feature field the method shows convincing qualitative results on scene editing and promising quantitative results on semantic segmentation all reviewers ar... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a method to improve adversarial robustness of the current convolutional networks the method is based on dropping outputs of a fraction of neurons however unlike in dropout the mas... | the paper presents a method to make cnn focus more on structure rather than texture by constraining a random set of neurons per feature map to have constant activation the paper has limited novelty and unclear analysis of the experimental results for instance plots of accuracy vs strength of adversarial perturbation s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new objective for selfsupervised contrastive learning in the general framework proposed by tsai et al 2020b the proposed method boils down to using a divergence related to chi2divergen... | the paper presents new contrastive based selfsupervised objective based on chi squared divergence that helps with mini batch sensitivity training stability and improved downstream performance an accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds on top of the prior work on virdo and proposes a framework for predicting deformation of deformable objects conditioned on the multimodal observation such as partial point cloud and force ... | the authors propose a method to predict the reaction wrenches at the wrist of a robot arm and contact embeddings of deformable objects in manipulation tasks the proposed approach builds on prior work where most importantly the need for privileged information was removed strength exploiting force measurements at t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes distributional concavity regularization for gans which encourages producing generator distributions with higher entropy the paper motivates the proposed method as follows ... | this paper proposes distributional concavity regularization for gans which encourages producing generator distributions with higher entropy the reviewers found the contribution interesting for the iclr community r3 initially found the paper lacked clarity but the authors took the feedback in consideration and made sig... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper conducts a comprehensive study on the effect of different regularization on deep rl algorithms regularization has been mostly neglected in rl as most benefits were believed to be in generalizatio... | the reviewers all appreciated the insights drawn from this study as well at its thoroughness i want to commend both authors for running additional experiments to strengthen the paper and reviewers for updating the scores accordingly congratulations |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a framework to simultaneously infer a causal graph as well as the specific causal model including specific relationships between the variables from observational data to do so a bayesia... | this paper proposes a bayesian active learning framework for integrated causal discovery and reasoning in the framework one sequentially designs experiments that are maximally informative about a target causal query collect the corresponding interventional data update the beliefs and repeat through simulations the aut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the vein of recent work on learning ticking behaviour for lstms such as phased lstm this paper proposes to add additional data independent gates to lstm units that are defined as gaussian functions of ti... | perhaps the biggest issue with the proposed approach is that the proposed approach which supposedly addresses the issue of capturing longterm dependency with a faster convergence was only tested on problems with largely fixed length with the proposed kn gate being defined as a gaussian with a single mean per unit and v... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors are proposing an endtoend learningbased framework that can be incorporated into all classical frequency estimation algorithms in order to learn the underlying nature of the data in terms of the ... | the paper conveys interesting ideas but reviewers are concern about an incremental nature of results choice of comparators and in general empirical and analytical novelty |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper proposes the algorithm learnrep that uses gradient descent methods to learn lie algebras from structure constants before obtaining the corresponding group representation through the... | this work investigates an algorithm to learn representations of lie groups it first learns a representation of the lie algebra by enforcing the jacobi identity using known structure coefficients then obtains the group representation via matrix exponentiation the paper also proposes a poincarequivariant neural network a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presented a new natural language dataset for evaluating compositional generalization of machine learning models in the context of logic inference the authors proposed a natural language interface... | the reviewers agree the paper should be accepted at the workshop congratulations the authors are encouraged to take the points raised by reviewer 3lhz into account when preparing the cameraready version of the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper describes a probabilistic approach to quantifying uncertainty in dnn classification tasks to this end the author formulate a dnn with a probabilistic output layer that outputs a multinomi... | the paper proposes a new framework for outofdistribution detection based on variational inference and a prior dirichlet distribution the reviewers and ac note the following potential weaknesses 1 arguable and not well justified choices of parameters and 2 the performance degradation under many classes eg cifar100 for... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to improve the performance of compact neural networks with limited model capacity the paper proposed network augmentation netaug which addresses the underfitting problem in small neural networks this is acc... | this paper studies the problem of training tiny networks by proposing a new training method called network augmentation netaug the main challenge for training tiny networks lies in underfitting which data augmentation and dropout etc regularizations may suffer from for tiny networks to overcome this hurdle the proposed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an improved aot method called deaot the main idea of deaot is to separate representation learning from identity information this means using two gpms instead of the original lstt in aot ... | the paper obtains three accept and one borderline reject recommendations yet all reviewers pointed out that the paper has novelty and originality in the domain of video object segmentation and also the method works quite well on the tested datasets the reviewer recommending rejection does not comment at the postrebutta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthe authors have presented a pareto frontier approximation network panet for multiobjective travelling salesman problem the authors showcased that the panet was able to generate good quality pareto fr... | the paper introduces a method to approximate a pareto front for multiobjective tsp the proposed method first converts the motsp into a set of constrained singleobjective optimization problems with different preferencebased constraints then it builds a modified tspnet with preference augmentation to solve all the constr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a large diverse dataset of abdominal ct and mri scans with pixellevel annotations of 15 organs the paper comprehensively explains the data collection procedures and the datasets limitati... | the authors have done a good job in addressing the review comments and all the 8 reviewers are positively in support of accepting this work i would like to reiterate to authors to please check if their data collection follows standard ethical guidelines of medical data collection and release one example of guideline ca... |
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 recipe on how to build a general powerful scalable graph transformer with linear complexity and stateoftheart results on a diverse set of benchmarks strengths 1 the prop... | this paper presents a powerful general scalable and linearly complex graph transformer positional encodings and structural encodings are redefined with local global and relative categories and an attempt has been made to include local and global focus attentions in a graph transformer all of the reviewers acknowledged... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors frame the decomposition of the laplacian equation as an unsupervised regression problem that is using a 5level and fully connected neural network as regression function a cost function to be us... | the paper addresses the problem of solving for the eigenpairs of a selfadjoint differential operator this problem of course is classical the main innovations here are a the use a parametric form of the pointwise solution using a shallow neural network so as to avoid discretization and b obtaining multiple eigenpairs ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
note i was called upon as an emergency review and only get to check the paper briefly this paper proposes to study the generalization ability of gnns for recommender systems ie bipartite graphs specifica... | this paper proposes a method named item mixture imix for recommendation systems the proposed method is based on mixup techniques and can enhance the generalization ability with theoretical guarantees some concerns regarding the relevance with respect to recommendation systems and the clarity of the paper have been init... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method to speedup softmax computation at test time their approach is to partition the large vocabulary set into several discrete clusters select the cluster first and then do a s... | this paper introduces an approach for improving the scalability of neural network models with large output spaces where naive softmax inference scales linearly with the vocabulary size the proposed approach is based on a clustering step combined with percluster smaller softmaxes it retains differentiability with the gu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes djmix a data augmentation method to improve the robustness by mixing each training image and its discretized one and analyzes djmix theoretically from the information bottleneck perspect... | this paper proposes to improve the robustness of computer vision models through a new augmentation strategy there are two primary contributions of the work first the use of a bottleneck autoencoder to generate discretized variants of the clean image and second a slight variant of the task loss where the task loss is ev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considered the approximation property of gcnns on the frame of the ridgelet theory by representing a typical gcnn into a nonlinear mapping between group representations corresponding formulations... | the paper studies the approximation properties of group convolutional neural networks it establishes the ccuniversality of group cnns ie that such networks can approximate any continuous function over any compact set using a new constructive approach which is based on a generalization of the ridgelet transform the proo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the existing work on robust adversarial rl by training multiple adversarial agents from a population solid experimental results are presented to show that the proposed method improves the... | the paper studies reinforcement learning in the presence of adversarial perturbations in the underlying system dynamics the main novel observation is that agents trained against a single policy may overfit to that policy and hence will lack robustness to newunseen policies the paper proposes a populationbased augment... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper provide a unified view of the generalization ability in the bayesian deep learning framework through the effective dimensionality the authors claim that some phenomenon in the deep learn... | the authors restate mackays definition of effective dimensionality and describe its connections to posterior contraction in bayesian neural networks model selection widthdepth tradeoffs double descent and functional diversity in loss surfaces the authors claim the effective dimensionality leads to a richer understandin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a framework for knowledge distillation with smaller number of parametersthe authors proposed a new parameter sharing method that allows a greater model complexity for the student model a... | this paper got mixed reviews one for acceptance one for reject and two borderline after the rebuttal ar2 raises the review to borderline ar1 gives the highest recommendation but did not provide detailed supporting evidence other reviews provide comment on the strength and also share the concerns most of the concerns c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after author response ive read the response and other reviews and keep my score weak accept r3 says that the second part of information maximization loss is nearly the same as that of shotim but i dont see ... | this submission develops a novel technique for domain adaptation for the setup where only a trained model but no data from the source task is available the authors propose to finetune the feature encoder using batch norm statistics of the features extracted additionally their criterion also promotes increasing the the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes clearning which is an essentially a horizon aware qlearning in a nutshell the authors proposes changing the q function from qs a to cs a h where s is the state a is the action and h is al... | this paper introduces clearning an approach to integrate temporal abstractions to valuebased methods specifically it uses accessibility functions that estimate horizonaware value functions for goalreaching rl problems such an approach allows tradingoff reliability and speed after careful consideration im recommending t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a robust neural network architecture to defend against adversarial patch attacks where the attacker can freely modify a small patch of size spatch of the input images by trainin... | the paper provides a simple prediction procedure to defend against rectangular patch attacks and also a method to obtain some random estimates of the certified robustness of the method the simplicity of the method is certainly appreciated on the other hand there are a number of issues preventing the acceptance of this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work focuses on the problem of speeding up adversarial training in the ellinf threat model the work first describes two previous works designed to speed up adversarial training fastat carefully perfor... | this paper investigates fast adversarial training methods as a bilevel optimization problem the proposed algorithm compares well with the existing techniques in overall runtime obtaining better cleantest accuracy which is not the goal and matching the robust accuracy of existing adversarial training methods the propose... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of probabilistic certification of robustness that is showing that the probability that a random point in some hyperrectangle changes the classification it improves an existin... | the paper proposes a method to improve proven which gives a certification for probabilistic robustness however reviewers think the paper is below the acceptance bar due to unclear motivation and insufficient experiments in particular a clear use case of probabilistic robustness certification is crucial for the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
problem the paper deals with the problem of pluralistic image completion this means that we want to generate multiple possible complete images methodology the authors propose a method which uses probabilis... | the paper addresses the pluralistic image completion problem initial reviews were borderline accept 2x weak accept 2x the authors provided a rebuttal both borderline reviewers upgraded to weak accept the ac agrees and considers the paper a solid contribution to neurips and recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors combine the vision transformer architecture with neural cellula automata nca which combines artificial neural networks with cellula automata they demonstrate that introducing selfattention and p... | as summarized by reviewer gah5 this paper proposes a novel combination of vision transformers and neural cellular automata ncas and uses them to create denoising autoencoders an nca is essentially a cellular automaton with the node updates being performed by a neural net the vitca proposed here adds to this attention h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for blackbox optimization which incorporates the idea of uct in sampling the proposed method mcdescent shows promising results in several benchmarks strengths the idea is simpl... | this paper proposes a novel combination of bayesian optimization and monte carlo tree search for more sampleefficient blackbox optimization the method is adding complexity but the empirical results are thorough and show a clear benefit the reviewers on this paper did not come to unanimous decision but the clear majori... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel method for conducting instrumental variable regression by learning the ratio of conditional and unconditional densities and using this estimate when learning the causal relations... | this paper proposes a method that uses conditional moment restriction methods to estimate causal parameters in nonparametric instrumental variable settings this is done by converting to an unconditional moment restriction setting common in the econometrics causal inference literature the paper was reviewed quite favo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the problem of testing the closeness of distributions asks to distinguish two cases for input distributions pq the case that pq are epsilonclose in total variation distance and the case that theyre etafar f... | this submission studies a somewhat nonstandard version of tolerant closeness testing of distributions over the ndimensional hypercube instead of only iid samples it is assumed that the tester is able to efficiently evaluate the probability mass at any point in the domain and to sample from the distribution conditioned ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper utilizes recently proposed clipresnetvit visual encoders instead of the standard backbones to conduct a largescale empirical study for several vision and language tasks the experimental setup aims... | reviewers are in agreement that this work is a useful clear documentary piece of work that shows the utility of clip on a number of popular vl tasks there is a somewhat persistent concern that simply demonstrating that a stronger visual encoder leads to improvements downstream is not an insightful result on which the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discussed a technique to obtain a neural network with verifiable robustness guarantee the approach is based on a redesign of neural network building blocks instead of using matrix multiplication ... | in this paper the authors propose a theoretically principled neural network that inherently resists perturbations without the help of adversarial training although the authors insist to focus on the novel design with comprehensive theoretical supports the reviewers still concern the insufficient empirical evaluations ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper improves the computation speed and memory cost of gtw wang et al 2016 method for the multiple timeseries joint alignment problem two major enhancements are introduced the first is excess pushing ... | in this paper the authors propose an algorithm bilco for solving graphical time warping an alignment method for multiple time series data overall the proposed approach is interesting and all reviewers are positive thus i also vote for acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of experience replay it proposes modelaugmented prioritized experience replay maper a novel experience replay method based on the intuition that the model is easier to estimat... | this work proposes a new strategy for prioritized experience replay it is based on the argument that the td error itself may not be a good indicator for priority so we should rely on other factors that are easier and more reliable to learn the new method is based on two modifications 1 modifying the critics objective s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors show that adversarially trained models have higher shape and simplicity biases compared to their vanilla counterparts the paper is well written and easy to follow i think i understood most parts... | this work investigates the relationship between adversarial robustness and shape bias of neural networks reviewers pointed out that one of the primary questions being investigated a how adversariallyrobust imagenet classifiers r classifiers generalize to outofdistribution examples has already been a primary focus of se... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new regularization for deep linear networks the analyses sections showed theoretical analysis empirical results of this regularizer in the context of 1layerdeep networks and sgdadam op... | all reviewers recommended that the paper be accepted and i accordingly recommend the same i encourage the authors to take into account suggestions made by reviewers so as to further improve the text towards the cameraready version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper claims three contributions 1 we show that gans perform better than other standard methods of estimating probability measures when the measure satisfies the disconnected support property i prefe... | this paper provides a theoretical analysis of gans showing its advantages when the measure satisfies the disconnected support property its main theoretical results are interesting but the reviews and discussion shows some misleading places it was also found some of the claims and proof are not mathematically rigorous |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper tackles the problem of sim2real transfer for scene graph inference it proposes an approach for closing the gap between simulated training data and real test data to allow models trained p... | paper addresses the problem of sim2real training with synthetic data and then applying the learned model on real data in the context of scene graph generation the paper was reviewed by four expert reviewers who identified the following pros and cons of the method pros paper addresses relevant and important prob... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an interesting approach to align the language models gpt3 in this case with their users intent this is very important because often these language models generate outputs that contain un... | this paper demonstrates that a smaller model 17b instructgpt trained with human feedback using a learned reward model and ppo is competitive with a much larger pretrained model 175b gpt3 the results are clearly convincing the main downside is that there isnt much analysis on the proposed method eg the influence of the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper claims to exhibit a connection between differential privacy and neural network pruning the main result is that for a single layer network with gaussian weights that depend on the privac... | the paper claims to draw a connection between pruning and differential privacy there seem to be conceptual issues with the paper highlighted by all reviewers see particularly reviewer 3s review which the authors had no response to for example a function approximating another does not imply any transfer of differential ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces variational stochastic differential networks to filter and smooth sporadically observed time series the authors adopt a bayesian perceptive on the smoothing problem for time series liv... | this paper sits right at the borderline the reviewers agree that it is interesting and addresses a relevant problem on the negative side the presentation could be improved including some incorrect claims and the experiments could be strengthened both in terms of baselines and datasets used ultimately the paper will pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a new method to learn streaming online updates for neural networks with metalearning and applied it to multitask reinforcement learning modelagnostic metalearning is used to learn the i... | the reviewers appreciated this contribution particularly its ability to tackle nonstationary domains which are common in realworld tasks |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper researches the lottery ticket hypothesis for networks as a deep image prior or deep generative prior the specific approach is to 1 train deep networks to reconstruct multiple images for dip ticke... | the paper studies the lottery ticket hypothesis in the context of deep image priors deep image priors are convolutional neural networks that are imposed as a prior for image reconstruction problems a deep image prior can be an untrained convolutional network or it can be a trained generator and the paper considers both... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
response to authors after reading the authors response i have decided to maintain my original rating the authors have not adequately addressed my main concerns novelty the work here as indicated by the aut... | this paper is a study in optimizing the donskervaradhan lower bound on mutual information focusing on a drift problem the bound is a difference between terms which appears to have an extra degree of freedom where the two terms increase or decrease together they propose a fix for this problem the authors state that th... |
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