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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
present a method to measure the expected robustness of a neural network model by determining the probability that a random input perturbation might cause misclassification providing formal guarantees regar... | this paper introduces a technique to measure the expected robustness of a neural network by measuring the probability random input perturbations will cause the model to make a mistake the reviewers are not convinced by the results in this paper the methods are not carefully evaluated against prior work and it is not e... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper first defines a new definition of calibration which in contrast to the one used in prior work is confined to the maximum observed time in the data they then propose a km regularizer for making su... | a number of suggestions have been given about the manuscript the evaluation raised questions about clarify placement with respect to other approaches choices for the design etc there are no immediate replies from authors so i hope the suggestions are useful for future work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a novel method for calculating shapley value for kernelbased models the conditional expectationbased kernel method suffers from the error caused by the samplingbased conditional expectat... | the authors propose a novel method for calculating shapley value for kernelbased models the paper includes both a theoretical analysis and extensive experimental evaluation a majority of reviewers are in support of accepting the paper and the rebuttaldiscussion period helped to clear out most of the reviewers concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an approach to learning safe reinforcement learning policies using a simulator the main idea is to consider essentially two distinct reward functions on the same mdp one quantifying the ... | this paper investigates safe reinforcement learning with distinct reward function and safety function the authors present theoretical analysis and simulation results the representation of safety is a critical step the authors define the safety function values based on various events and use linear combination of them t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper builds on the empirical observation of li et al 2018 that training neural networks in a lowdimensional random subspace of the parameter space often achieves similar levels of train and test accur... | this paper presents new insights for training on random subspaces of low dimension with several theoretical and experimental contributions this is a paper that would be interesting to many people doing research in deep learning both from the theoretical and practical side |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new approach which combines offline reinforcement learning with learning in simulation without the need of training on the target environment more specifically they propose to use offl... | this paper proposes a new approach which combines offline reinforcement learning with learning in simulation there were different views on the paper among the reviewers and we had quite a lot of discussions as a consequence there were still serious concerns remaining eg whether the results are significant enough whethe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
quality and clarity this paper is well written well organized and clear it contains a theoretical reasoning of their method and their method is likely reproducible the paper is selfcontained with a good... | i recommend acceptance and editing the manuscript to highlight the limited nature of experiments more datasets and more realistic applications would be welcome still all reviewers see this submission as interesting and worth presenting in the conference |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper follows the line of work that leverages holomorphic encryption he operations on encrypted data for privacypreserving inference on mlps and cnns authors propose changes to the representations of i... | this paper improves on the efficiency of prior work that uses homomorphic encryption to perform privacypreserving inference there are two main concerns raised by the reviewers first multiple reviewers and i found this paper difficult to read multiple pieces of the problem are not clearly presented especially with respe... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose an alternative invariant risk minimization irm penalty for the particular case of a linear output layer trained with a meansquared error loss in this particular case the or... | this manuscript was the object of a rich and lengthy discussion the ac also felt compelled to read the paper in details and discussed it further with the sac the authors did a thorough job at addressing some of the reviewers points the added results on crossentropy loss and additional discussion as well as the points ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces peril a meta rl method that combines demonstration trajectories and trajectories collected by the policy in order to adapt to a new task to this end the authors combine ideas ... | the paper proposes a method that combines imitation learning and metalearning which aims to be able to explore beyond the provided demonstrations while the paper addresses an important topic and the authors are commended on a productive conversations there is a consensus among the reviews that the work is not yet rea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
changes after author response thanks for addressing the concerns in the review with the new revision i am revising the score to 7 from 5 based on the reply and the revisions to the paper summary this pa... | after reading the paper reviews and authors feedback the metareviewer agrees with the reviewers that the paper presented a very interesting idea and empirical studies r3 rightfully pointed out the need to clarify relation to related works as well as the scalability issue notably because the analysis does not ensure ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper compiles a list of 14 tasks across various protein datasets to serve as a potential benchmark in training sequencebased protein models these tasks focus on a range of biological properties of int... | this work presents a diverse benchmark for multiple proteomic tasks including comprehensive results for both singletask and multitask learning the paper is well written and the benchmark is essential to the field the mean reviewers score is near acceptance perhaps most importantly the reviewers comments have been addre... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors claim that longterm prediction as a key issue in modelbased reinforcement learning based on that they propose a fairly specific model to which is then improved with zforcing to achieve better pe... | this paper explores the use of multistep latent variable models of the dynamics in imitation learning planning and finding subgoals the reviewers found the approach to be interesting the initial experiments were a main weakpoint in the initial submission however the authors updated the experimental results to address t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to deal with the openset domain adaptation problem by not only considering the known classes matching but also the targetunknown distribution segregating both the theoretical analysis an... | this paper proposes a novel method called uadal unknownaware domain adversarial learning for openset domain adaptation osda specifically the proposed method performs source and targetknown distribution alignment while simultaneously separating source and targetunknown distributions in the feature alignment procedure in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a web ide to i decrease the complexity of environment generation using pcg ii simplify the build process iii reproducibility which allows i design and debug arbitrarily complex pcg ... | the paper describes a web interface to design rl grid worlds based on the griddly engine this is a useful tool that lowers the barrier for experimenting with various rl grid worlds the authors addressed the main concerns of the reviewers who unanimously recommend acceptance |
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 generate dialogs in a controllable fashion to evaluate a dialog state tracking system on a data distribution which is different from the trainingtest data the ... | the paper proposes a method to generate conversations for evaluate dialog systems using counterfactual generation pros the reviewers agree that the paper makes a good contribution towards evaluation of dst models the paper adds to a growing body of work on robust evaluation of nlp models cons one reviewer has c... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new experimental benchmark for asr based on neural architecture search nas nas becomes one of the important machine learningdeep learning areas and has been widely studied in image cla... | good clarity a nas benchmark for asr and results transferable across datasets although this is more specific to speech domain building such a benchmark for speech is important for general nas research especially the papers finds different behaviors compared to image classification benchmarks the main factor for the d... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel method for solving the discrete optimal transport problem based on the celebrated douglasrachford splitting dr method the core idea is to split the original transportation map in... | this paper proposes a new algorithm to solve the discrete optimal transport problem consisting of showing how the wellknown douglas rachford algorithm can be efficiently applied and also providing a convergence rate secondly the paper gives an efficient implementation suitable for gpus the paper would be a bit weak on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update after reading the updated version of the paper i think my main issues with presentation have been addressed i now see this work as introducing a relatively niche problem and solving it elegantly t... | the paper proposes to model uncertainty by combining quantile regression and chebyshev polynomial approximation the paper addresses the important problem of uncertainty quantification for black box models however some major concerns remain after the discussion among the reviewers in particular there has been some conce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
reasons for score a benchmark for evaluating source code ml models will help to accelerate the progress in the right direction however the analysis to support the dataset and the proposed tasks as a benchma... | this paper proposes a new source code modeling benchmark with the unique twist being that we not only have code source text but we also have build information which allows extracting richer information to construct labels from this enables for example a null pointer prediction task with labels coming from an interproce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors study a new problem selfsupervised learning for compressed video understanding it can dramatically save the compute and storage requirements for action recognition the experiment result... | reviewers liked the selfsupervised learning of compressed videos noting that it is an exciting topic and an important problem although they found the proposed methods pmsp andctp less exciting reviewers were satisfied with the execution and the extensive experimental studies ac felt the community may benefit from the p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work studies pca under the contraint that the principal eigenvectors lie in the range of some fixed generative model eg a neural network with fixed weights more precisely given an llipschitz function ... | this paper studies pca under a generative model setup the authors analyze the projected power method in a range of natural settings moreover experimental evaluation and comparison to other methods is performed on mnist the paper studies an important problem despite some initial concerns the reviewers overall agreed tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces amortized langevin dynamics for latent variables and extends it to unconditional distributions a langevin autoencoder is further developed by using amortized langevin dynamics for prio... | this paper proposes an amortization strategy for mc sampling from a single chain rather than perdatapoint chains and uses this strategy to define a new bayesian autoencoder based on langevin dynamics the reviewers find the line of thought very promising and a potentially interesting addition to the latent variable lit... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new method to defend blackbox attack based on an ensemble of sign activation neural networks the authors demonstrate their method has much higher minimum distortion using hopskipjump a... | the paper proposes an algorithm to defend against blackbox attacks all the reviewers think the current experiments are not convincing enough and the method seems to have some issues eg not scalable |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the effect of padding on artefacts in cnn feature maps and performance on image classification and object detection it convincingly makes the case that these artefacts have a significant d... | this submission explores how certain common padding choices can induce spatial biases in convolutional networks it looks into alternative padding schemes which mitigate these issues and demonstrates significant performance improvements in widely used convnets reviewers generally agreed that this is an important point t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
similarly to parthasarathybatty 2017 and warland 1997 this paper proposes a method to reconstruct visual stimuli from retinal ganglion cell electrophysiological measurements it proposes to combine a forwar... | the paper proposes a map method for natural scene reconstruction from population recordings of rgcs which combines a deep image denoiser with a simple generalized linear neural encoding model the results are shown to be state of the art and the method is seen as novel and a useful contribution to the community the rev... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the asymptotic properties of privacy profiles and propose an efficient method for gdp algorithms to reduce the set of possible optimal privacy measurement as an application to the main res... | this paper expands our understanding of a recent variant of differential privacy called gaussian differential privacy and studies its relationship with the standard definition the reviewers all agree that the results are both important and interesting and support accepting the paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a graph learning method for spectral embedding and associated problems such as clustering and dimension reduction what differentiates the method from much the existing literature is that ... | the reviewers generally like the paper in particular the scalability of the proposed approach the author response and revised version clarified some questions of the reviewers however it didnt fully mitigate their concerns |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an efficient implicit representation to encode large scale datasets in real time implicit recursive octree autodecoder iroad the idea is directly learning latent code for each object in ... | the paper proposes an efficient implicit recursive octree autodecoder iroad to encode large scale 3d shape datasets in real time overall the reviews are positive reviewers agree that the approach is new and wellmotivated and the experiments are convincing authors are encouraged to respond to reviewers comments and qu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an alternative to straightthrough estimator by considering the geometry of the likelihood the proposed method can be viewed as a natural gradient descent algorithm on the riemannian mani... | the paper seeks to improve straightthrough estimators by combining them with the ideas for correcting the step direction to be closer to a natural gradient while some modest improvements are demonstrated experimentally the paper critically lacks technical correctness and has quite some gaps when trying to derive the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for exploration called generative planning method gpm which generates a multistep action sequence such that the exploration is more temporally consistent and intentional compare... | this paper proposes an alternative approach to epsilongreedy exploration by instead generating multistep plans from an rnn and then stochastically determining whether to continue with the plan or replan the reviewers agreed that this idea is novel and interesting that the paper is wellwritten and that the evaluations a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a fl strategy for face recognition despite the wide investigation of fl very littler research discusses the use of fl for face recognition the proposed of privacyface can 1 distill sani... | this paper received 4 quality reviews the rebuttal and discussions were effective all reviewers raised their ratings after the rebuttal it finally received 3 ratings of 8 and 1 rating of 5 the ac concurs with the contributions made by this work and recommend acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the effect of scalability and mixing time in mdps for rl the authors introduce scalable mdps as a family where the state space or a region of that can be scaled subject to a scaling ... | this paper investigates the effect of scalability and mixing time in mdps for rl the authors introduce scalable mdps as a family where the state space or a region of that can be scaled subject to a scaling parameter and a scaling operation they show that any scalable mdp has a polynomial mixing time with respect to sta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a new technique for partial label learning pll pll is the task where the labels for each instance include both the ground truth label and a randomly sampled set of distractor labels and ... | this paper presents pico a novel approach for partial label learning which achieves very strong performance close to that of fully supervised learning and outperforms ppl baselines the experiments are extensive with very impressive results and the analysis are thorough |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a theoretical bound on inductive biases selfattention module can represent it gives detailed walkthrough about how such bound can be derived and the result complements conclusion from pr... | this paper presents a theoretical analysis of selfattention modules using lipschitz conditions it suffers from two main weaknesses the clarity of the presentation and the weak experimental section |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written and the basic ideas are reasonably well explained and supported however several aspects are insufficiently explained several examples follow in figure 1 it is not clear at all how... | the proposed method is compressing video sequences with an endtoend approach by extending a variational approach from images to videos the problem setting is interesting and somewhat novel the main limitation as exposed by the reviewers is that evaluation was done on very limited and small domains it is not at all clea... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 compelling probleminterpretability is an important aspect of offpolicy evaluation when humans are likely to be in the loop 2 simple practical solution which is well motivated 3 strong empirical results 1 ... | meta review the paper incorporates prototype learning in offline policy evaluation for better interpretability the reviewers found the idea interesting and useful for interpretability and the paper is well written there are concerns that the performance of the method is not competitive enough so it would be better if ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an output augmentation method for enhancing the capacity of transformers language models in performing multistep symbolic computations such as adding integers or executing programs the ... | the main remaining criticism of the paper is reproducibility ie it is nearly impossible to verify the correctness of the result in the paper or to reproduce any of these results ac we generally agree with this statement while the authors do provide some details in the paper reviewers ac sac and pcs agree that this is i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a manifold distance based detection based against adversarial samples in addition it also proposes manifold distance judge for the adversarial defense the focus of the paper is to make l... | the paper proposes a manifold distancebased detection based against adversarial samples ie using the difference between the highest and secondhighest softmax outputs from a model to detect adversarial examples all the reviewers gave negative scores the main concerns lie in 1 poor quality of writing 2 contributions of t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper conducts a survey of computer vision cv applications in the global south ie developing countries the aim is to identify the main applications of cv and related ethical risks that exist in develop... | the paper received mixed scores from the reviewers 7 7 3 i believe that a survey paper is a valid contribution type for gis hci track as it helps further our knowledge about designs that have been explored and highlights what can be done in the future while the paper has shortcomings addressed in the paper and offers l... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the problem of overgeneralization between adjacent states of the onestep temporal difference error when using function approximation the authors suggest an explicit regularization scheme... | all three reviewers raised the issues that a the problem tackled in the paper was insufficiently motivated b the solution strategy was also not sufficiently motivated and c the experiments had serious methodological issues |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
there is not much to say here the paper organizes a large precipitation dataset from both high res and low res sources and illustrates some baselines the problem addressed is both interesting to ml esp to t... | this paper describes spdnet a dataset for spatial precipitation downscaling experiments are provided using a fairly wide set of alternative methods 14 models including kriging which is a widely used standard method in the meteorological community as well as a novel architecture proposed by the authors the authors a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a method called resperfnet to predict the performance of deep neural networks the method relies on a residual neural network that is trained on a large number of different network archite... | this paper presents a new method to predict the performance of deep neural networks it evaluates the method on three different networks lenet alexnet and vgg16 under two different frameworks tensorflow and tensorrt reviewer 2 thought that the results were promising but comparison with other approaches was weak perfnet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper develops a new method koopman forward conservative qlearning kfc in short for offline reinforcement learning by extending the static dataset to include new states that are computed by learning an... | this paper proposes to improve offline rl by a data augmentation technique that exploits the symmetry of the dynamics using koopman operator the idea is interesting but the draft at its current form has several weaknesses as pointed out by the reviewers the scores are borderlines at this point i read the paper and find... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new graph neural network model for predicting the dynamics of nbody systems the two main innovations of this model are 1 ability to handle systems with rigidbody constraints 2 a new 3d... | the manuscript develops a new kind of graph neural network a graph mechanics network gmn that is particularly well suited to representing and making predictions about physical mechanics systems and data with similar structure it does so by developing a way to build geometric constraints implicitly and naturally into th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies how to bound the dynamic regret for mpc the analysis is built upon a new perturbation bound for finitehorizon optimal control perstep error of mpc is bounded for regret analysis the prop... | the paper studies mpc and proposes a general analytic framework to bound dynamic regret the approach is to achieve a perturbation bound for the mpc problem per step and then obtain a regret bound overall the paper saw a lot of discussion with the reviewers initially questioning the nontriviality of the results but th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper considers modular multitask learning where parameters in each layertask are generated as a layertaskspecific linear mixture combination of a common pool of parameters exploring this idea ... | this paper presents an approach for modular multitask learning all the reviewers believe the goals are appealing and the idea is reasonable however r2 and r4 raise concerns with respect to novelty there are also strong concerns regarding experiments the concerns vary from reproducibility to small improvements and right... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces the notion of crosspose a taskspecific relationship between objects that captures a desired goal configuration the proposed crosspose function maps pairs of object pointclouds to a rela... | this paper defines the crosspose the relative pose between two objects in an object manipulation task endtoend systems often fail to generalize to new objects they create a visionbased system that learns to estimate crosspose for a given task using crosspose a motionbased planner can be used to enable the robot to comp... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes two methods for what is called wild variational inference the goal is to obtain samples from the variational approximate distribution q without requiring to evaluate the density qz by w... | this paper is both time and topical in that it forms part of the growing and important literature of ways of representing approximate posterior distributions for variational inference that do need need a known or tractable density the reviewers have identified a number of areas that when addressed will improve the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a probabilistic tensor factorization model for streaming data the model uses neural networks to learn richer factors spikeandslab prior on nn weights and online momentmatching for po... | the paper proposes a bayesian neural network model for tensor factorization with particular focus on streaming data the key contribution is the streaming posterior inference of the deep tf models the combinations of online tensor factorization bayesian nn with sparsity priors posterior inference is new and interesting... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper argues and demonstrates that in a taskincremental continual learning setting in many cases it is beneficial to split up the capacity of a learning algorithm and to learn separate models for diffe... | the paper sparked a very substantial discussion not just about its scientific content but also as the authors will have seen from the narrative standpoint i would like to thank the reviewers who devoted time and efforts to discuss the papers content i encourage the authors to polish further their paper prior to camera ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
previous works have shown that dnns are able to memorize random training data even ignoring the enforcing of datadependent geometric regularization constraints in this work authors show convincing results i... | the paper proposes an interesting datadependent regularization method for orthogonallowrank embedding ole despite the novelty of the method the reviewers and ac note that its unclear whether the approach can extend other settings with multiclass or continuous labels or other loss functions |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors address the problem of recovering an underlying signal from lossy and inaccurate measurements in an unsupervised fashion they use a gan framework to recover plausible signals from the measuremen... | this paper proposes a ganbased method to recover images from a noisy version of it the paper builds upon existing works on ambientgan and csgan by combining the two approaches the work finds a new method that performs better than existing approaches the paper clearly has new interesting ideas which have been executed ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a 3daware image generation network that usess a plenoxelsstyle voxel grid 1 as its scene representation the complete network architecture consists of a sparse 3d cnn generator with nove... | it is valuable now to introduce this technical idea even if the results do not quite match existing methods future work building on this idea may well do so and it would impede the progress of the subfield to demand both the new idea and sota results the rebuttal takes on extra work building on the reviewers sugges... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
simulated annealing is a widelyused stochastic optimization approach the paper presents a general approach for learning the proposal distribution for simulated annealing the paper formalize simulated anneal... | this work presents the neural simulated annealing nsa approach as a heuristic for general combinatorial optimization problems after revising the paper and reading the comments from the reviewers here are the general comments in general the paper is clear enough the contributions are stated in a proper way the novel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a neighboraware method in the neural architecture search nas the paper states that by optimizing a neighbor of the neural network it can search the result in a flatminima which is more s... | this paper proposes a new nas methods that when doing architecture search returns flat minima using based on a notion of distance defined for two cells eq 2 authors then evaluation the effectiveness of the proposed methods against prior work on several benchmarks as authors have discussed in the paper the idea of usin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an approach to handle action spaces with discrete selections and continuous parameters within each selection this is a common setup in robotics where agents need to select a skill to appl... | this paper proposes a new approach to solve mixed discretecontinuous action rl problems based on embedding actions into a latent space so that standard continuous control algorithms like td3 can be applied experiments over standard discretecontinuous benchmarks demonstrate the superiority of the proposed approach vs ex... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose an efficient insertionbased text generator insnet that does not require reencoding of the context the model follows the insight to enable computation sharing and aggregation the proposed... | there is consensus between 34 reviewers regarding acceptance and the review that suggests borderline rejection also admits the merit of the paper given the new proposed method for insertion based generation in transformers and the experimental results i think the paper should be accepted to neurips |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is about learning to hash the basic idea is motivated by the intuition given points zi and zj on the hypersphere the angle between the two points is arccoszi dot zj while the probability that a r... | the paper proposes learning a hash function that maps high dimensional data to binary codes and uses multiindex hashing for efficient retrieval the paper discusses similar results to similarity estimation techniques from rounding algorithms m charikar 2002 without citing this paper the proposed learning idea is also si... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors explore the similarity between neural networks that accrue information processing via depth and via recurrent iterations they have conducted several interesting qualitative and quantitative anal... | this paper show that in several different neural network architectures recurrent networks that share parameters over iterations have comparable performance and similar features to feedforward networks of the same effective depth reviewers initially had some reservations about novelty and generalizability to dee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an improvement of binary neural networks from the work of birealnet liu et al 2018 by utilizing the linearity of modules the method removes the necessity of scaling factors and used a no... | description the paper proposes an improvement to binary neural networks with realvalued skip connections between preactivations by introducing more flexible learnable nonlinearities on the realvalued connections the parametric nonlinearity is actually linear at initialization which makes the training easier at the b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsep summary this works proposes a sentiment classification approach for transformerbased models that employs additional embeddings to represent emotion inputs these additional emotion inputs are gener... | the paper proposes to incorporate unsupervisedly extracted emotionrelated tokensembeddings to improve sentiment classifiers trained on top of bert the strengths of the paper as identified by reviewers are in the importance of the problem a relatively easytoreproduce method and a clear writeup however all the reviewers ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a spatiotemporal aware embedding framework ste and applies to pois step for successive poi recommendation specifically the proposed ste framework consists of three parts the context grap... | despite some positive points the criticisms and overall scores put this paper below the bar the reviewers raise issues of novelty as well as problems with the experiments and argue that some claims are unsupported |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed to reduce the bias of classifiers learned on pu data by a heuristic mixup technique that partially selects the unlabelled instances and mixes them up with the positive instances around ... | mixup is very helpful when the training sample is scarce or has weak supervision the paper studies how to adapt mixup to positive and unlabeled pu learning a representative weakly supervised learning problem by studying the specific properties of pu learning the authors propose the concept of marginal pseudonegative in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for modeling exchangeable sets of data or point processes specifically the paper is interested in applying normalizing flow methods to these point processes the paper proposes a... | the authors model point processes with equivariant normalizing flows reviewers agreed that the paper is well written and addresses a problem of interest to the iclr community some reviewers considered the contribution to be incremental perhaps the biggest contribution is a closed form expression for the trace that nee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a novel method to combine metadata into a segmentation model as per my knowledge this is the first paper to achieve this information experiment1 shows a clear advantage of including pr... | all reviewers agree that the idea of this paper is novel and interesting to midl community while there were major questions on several details of the proposed model and experimental evaluation the authors have made to address them appropriately based on the final ratings of all reviewers i am happy to recommend accepta... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method of choosing variables for branching in branch and bound approaches to mip solving the approach is based on reinforcement learning the paper presents an adequate overview of prev... | the paper describes an rl technique to learn how to branch in discrete optimization this advances the state of the art in comparison to previous imitation learning techniques however the reviewers and a public reader raised concerns about the validity of the experiments due to several inconsistencies and differences ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 this work presents novel theoretical results 2 the theoretical results link mil with several classical learning problems which may be useful for researchers of broader interests the writing and readibili... | meta review the authors have made detailed responses and clarified several concerns raised in the authors responses novel theoretical results which link multipleinstance learning mil with other wellestablished learning frameworks are presented in this paper correspondingly some new insights on the generalization risk b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the idea of employing a tensor method to generalize nas seems to be interesting however this paper suffers from a few problems 1 the presentation of this paper requires improvement there are some confusion... | this paper proposes a new and general formulation for supernet which encodes supernet with tensor networktn the idea is interesting and motivated however the paper is well presented and the clarify needs to be further improved the effectiveness of algorithm is not well justified and experimental results are less conv... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a quasinewton method for neural network optimization the authors have conducted some experiments to verify the effectiveness of their algorithm although i agree that introducing quasinew... | this paper presents an adaptive gradient method for neural net training inspired by lbfgs all of the reviewers recommend rejection they raise concerns about the amount of novelty the clarity of the writing and the experimental comparisons i encourage the authors to take the reviewers comments into account and improve t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
caveat i am an emergency reviewer filling in for someone that fell through on their commitment to review for iclr the framing of this paper is quite outside my typical area so i am not super familiar with ... | this paper considers the task of web navigation ie given a goal expressed in natural language the task is to navigate webs by filling up fields and clicking links the proposed model uses reinforcement learning introducing a novel extension where the graph embedding of the pages is incorporated into the qfunction the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new safe rl method safer that uses a behavioral prior learning algorithm to accelerate policy learning under safety constraints safer learns to extract a safety variable from offline d... | the paper provides an algorithmic framework to accelerate rl through behavioral priors while having some notion of safety incorporated the reviewers are divided about this paper on the positive side some of the reviewers consider the problem important and the experimental results reasonable and promising on the negat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a new notion of distributional generalization as a tool to quantify the difference between the outputs from training and testing data sets using a certain machine learning algorithm th... | the paper introduces a notion of distributional generalization which aims at characterizing aspects of underlying distribution that are learned by a trained predictor authors make several interesting conjectures and support them with empirical evidence reviewers agreed on the novelty of the ideas however the work seems... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
relevant problem well written paper exhaustive experimental results comparison to a significant number of baselines theoretical results for regret analysis one of the proposed methods cborecon perfo... | meta review the authors present a technique for applying bayesian optimization to combinatorial spaces in which the discrete space is embedded in a continuous space through a random mapping on which a gaussian process method for bayesian optimization can be applied they then map the acquisition functions optimum back ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new domain adaptation saum method that learns a large margin classifier between different classes for crossdomain sentiment analysis the key idea is to train a domainagnostic embedding... | in this paper the authors proposed a largemarginbased domain adaptation method for crossdomain sentiment analysis the idea of developing a largemarginbased method for domain adaptation is not new though the proposed method contains some new ideas the difference between the proposed method and the existing largemargin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present a novel method named itergp for doing approximate inference in gaussian processes taking a probabilistic numerics approach they treat the representer weights mathbf v hatmathbf k1 mathb... | gaussian processes are a very nice modelisation tool in bayesian nonparametrics with very nice uncertainty quantification but they also lead to serious computational issues so in practice it is difficult to know what part of the uncertainty is due to the data and what is due to approximations in the computations here t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies the pac generalization bound and relaxes the uniform bounds assumptions in literature by the onaverage bounded loss and onaverage bounded gradient norm assumption under this relaxed assump... | this paper presents a generalization bound that strengthens influential earlier bounds in a clear and meaningful way they provide support experiments the paper is well written |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses unstable training procedure of graph neural network when training data is extremely limited the author proposes use selftraining and negative sampling to mitigate this issue specificall... | the paper studies stability issues of gnn training when data are limited the key contribution of this work is to use reweighted selftraining and negative sampling to stabilize gnn multiple reviewers raised major concerns on the technical novelty experimental setup comparison and results no response was provided during ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors analyze the quality of known color representations nonopponent and opponent in terms of the quality of the reconstructed images when spatiochromatic information is constrained by a bo... | this paper proposes a novel unsupervised task of colour conversion in this respect the task becomes more like a regression problem rather than autoencoding the decoder needs to reconstruct the pixels in a different color system while the idea is potentially interesting there are fundamental problems with the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a nas method in the context of manytask manyhardware fewshot learning to this end the authors introduce many techniques including supernet metatraining strategy layerwise profiling for l... | reviewers agree that the proposed manytask manyhardware fewshot learning setup is well motivated and valuable in realworld applications the main novelty of this paper lies in the metalearning side and their results reveal that metricbased maml methods are not latencyfriendly and the community should look back into opti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a simple yet strong baseline tracker named swintrack for single object tracking sot swintrack adopts the classic siamese structure and uses swin transformer for both feature extraction a... | authors present a method for single object tracking sot that is entirely comprised of transformers the architecture is simple 1 swin is used to generate embeddings for both template and search region 2 embeddings are concatenated 3 an encoder transformer performs mhsa of the embeddings 4 a decoder performs crossatten... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method for learning representations for relation statements as well as classes prototypes for relation extraction tasks i think the key insight is that the relation statements and clas... | this paper proposes a method for regularizing the pretraining of an embedding function for relation extraction from text that encourages wellformed clusters among the relation types experiments on fewrel semeval 2010 task 8 and a proposed fuzzyred dataset show that the proposed prototype method generally outperforms pr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
finrlmeta library which provides hundreds of market environments with dynamic datasets from realworld markets a collection of performance of different models on the market environments jupyter notebooks ... | the authors propose a major software framework finrlmeta for testing reinforcement learning rl algorithms on financial data at the core the benchmark contains an extensible set of data sources and market simulation environments and is connected to three stateoftheart deep rl libraries furthermore the authors demonst... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a novel framework called microseg for the catastrophic forgetting problem caused by the semantic shift of the background class this paper pioneered the idea of considering unknown catego... | most of the reviewers pointed out that the motivation of the method is clear and the method is novel and interesting the proposed method is also effective on multiple benchmarks one of the reviewer has concerns about the choice of a parameter k and another reviewer has concerns about details of the method ac admits tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper tackles a nontrivial task and proposes a novel method to estimate the causal structure under their problem setting the paper builds on prior work in the field of tetradbased latent variables mode... | the authors propose a method for recovering a dag from observational data with latent variables for this to be possible the authors must impose very strong assumptions on the structure of the latent and the observed variables for instance the authors assume no direct effects between the observed variables and no direct... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes methods for identifying prototypes unfortunately a formal definition of a prototype is lacking and the authors instead present a set of heuristics for sorting data points that pur... | this paper considers prototypes in machine learning in which a small subset of a dataset is selected as representative of the behavior of the models the authors propose a number of desiderata and outline the connections to existing approaches further they carry out evaluation with user studies to compare them with huma... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a learning method for gaussian variational autoencoders based on taylor expansion approximation this allows an analytical formula for elbo and therefore avoid the requirement of sampling ... | this paper proposes a way to train gaussian variational autoencoders that does not require the computation of empirical expectations but instead approximates the decoder network by its taylor series results on 3 datasets show the competitiveness of the approach based on the limited novelty of the approach three out of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a dataset referred to as model zoos of model checkpoints where each data point is a neural network checkpoint flattened into a realvalued vector by setting up a generating design hyperpa... | this study constitutes a gargantuan empirical effort to characterize a large number of neural network models and parameters referred to by the authors as the model zoo the dataset includes 27 model architectures and a total of 50360 models when considering all hyperparameters this large empirical investigation can be u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to learn interest state function via metagradients in order to do emphatic rl this interest function essentially simplifies the credit assignment problem and highlights more impo... | wellwritten and interesting paper that metalearns the interest function in emphatic rl rather than using a fixed interest function the idea is wellmotivated and a comprehensive empirical study is performed there was an an active discussion among the reviewers and authors in which the authors addressed the various revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a new blackbox optimization method called geo it is designed for solving stochastic and multiobjective blackbox largescale optimization problem geo has two stages evolution and surrogat... | while the topic of the paper and the reported experimental results appeared to be of interest of the reviewing team a number of limitations were put to the fore by the reviewers who graded the paper with scores between 2 and 5 and often emphasized various issues such as a lacunary literature review see in particular co... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel learning framework for quadruped to learn coordinated dynamic manipulation and locomotion tasks instead of training two separate policies for manipulation and locomotion tasks th... | this paper presents a reinforcement learning framework for learning mobile manipulation using a quadruped with an arm the main technical contributions are 1 a curriculum learning with only one parameter advantage mixing and 2 regularized online adaptation for simtoreal transfer the trained policy is evaluated extensive... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
motivated by the structure mapping theory this paper proposes an adhoc solution to address the classic raven problem the authors claim the proposed method is more general than previous methods while achievi... | this manuscript presents an approach to handling abstract visual analogy tasks where panels of drawings are shown with a missing entry one of a number of candidate drawings must be chosen to complete the panel reviewers brought up several concerns 1 the task performed was made considerably easier by providing addition... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update thanks for you answer and clarification while the morphnet appears novel the authors only report result for image classification task and dont achieve as good performance as standard convolutional b... | this work presents an interesting take on how to combine basic functions to lead to better activation functions while the experiments in the paper show that the approach works well compared to the baselines that are used as reference reviewers note that a more adequate assessment of the contribution would require compa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using homoglyphs to attack commercial nlp models for sentiment classification homoglyphs look like the characters in english language but they are encoded differently and therefore treat... | the paper presents attacks against sentiment recognition nlp systems using specially crafted homoglyphs the novelty of the proposed method is however marginal contributions over some of the related work are unclear furthermore the quality of writing is insufficient the authors provided no response to reviewers comments |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces an algorithm for defending against multiple adversarial attacks l1 l2 linf by learning separate batchnorm statistics for each attack type at inference time the batchnormalized outputs ... | this paper first examines a multidomain separation phenomenon where different types of adversarial noise lead to different running statistics and then introduces gated batch normalization gbn a building block for deep neural networks that improves robustness against multiple perturbation types gbn consists of a gated s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
backpropagation while allowing anns to learn the statistical regularities of their inputs is not a biologically plausible method for how biological networks learn different methods have arisen recently to ... | this paper describes a biologically plausible model of credit assignment in neocortical microcircuits building on previous work in this area that uses apical dendrites and burst multiplexing this model expands on these ideas and incorporates additional biological information related to shortterm plasticity and celltype... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes an offpolicy actorcritic qwr algorithm that extends the awr from peng et al 2019 the qwr algorithm estimates the qfunction using parameterized qnetwork whereas awr estimates the v... | this paper proposed qvalueweighted regression approach for improving the sample efficiency of drl it is related to recent papers on advantageweighted regression methods for rl the approach is interesting intuitive and bears merits developing a simple yet sampleefficient algorithm using weighted regression would be a cr... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a new way to automatically construct and train variational families for models expressed as general probabilistic programs given a program p it first generates many prior samples from ... | the reviewers have reached consensus after processing the authors feedback they all agree that this manuscript presents an interesting approach to applying variational inference in a setting of probabilistic programming that is of interest to the community the reviewers raise tangible points that the authors have incor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes an infinitesimal jackknifebased approach to mitigate the influence of biased training data points without refitting the model at a high level the approach firstly computes the influence o... | this paper presents a tool for mitigating the influence of biased training data without retraining a model the identified shortcomings of the paper include the restriction on binary classification setting the meta reviewer recognizes this caveat but feels the focus aligns with the existing fairness definitions and the ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors extend the successor features sf framework to allow for a quadratic relationship between the features and rewards rather than the strictly linear one given in the initial formulation the deriva... | this paper extends the idea of successor representations typically the reward is compute linearly on top of states in this setting but the authors relax it to have a quadratic form bf pros 1 a novel formulation of the successor representation where the reward does not follow the linearity assumption 2 the idea of usi... |
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