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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a novel setup called anytime learning at macroscale in this setup the learner receives the examples as a sequence of large batches and is required to output a model after processing eac... | the work presented in this submission is focused on a new approach for learning a model that can perform well at any point in time and called anytime learning at macroscale alma the algorithm processes data through a series of training batches each of these processing steps being followed to a model evaluation the tota... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
parameter sharing can reduce memory footprint of neural networks and memory bandwidth requirements but existing methods require manually tuning the sharing strategy this paper uses a small phase of training... | the reviewers were mostly concerned about the practical impactimplications of the proposed methods there was a long discussion across multiple threads of the benefits of the approach proposed in cnns vs larger language models dissecting the benefits in terms of training time as opposed to memory or flops which may have... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the adversarial attack algorithms have been adapted to be applied to eventbased data for spiking neural networks implemented on neuromorphic hardware 1 it is not clear how the adversarial atta... | the manuscript investigates common adversarial attacks on eventbased data for spiking neural networks they conclude that also in this setup adversarial attacks can strongly harm snn performance although the reviewers agree that the paper presents some solid results and is well written there was also substantial critic... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a benchmark for three related research topics including ad osr and ood experimental settings are specified for each topic in total 31 methods are evaluated this work facilitates a unif... | all the reviews are mostly aligned in recognition of the merits and contribution of this paper and its potential impacts to the community therefore i would like to recommend acceptance even though i still recommend authors to make further enhancements and include the response changes in this paper |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a new scalable formulation for the elbo for multimodal data which generalizes previous work the key idea is to optimize over all possible subsets of modalities their powerset eve... | after a bit of discussion all reviewers are for accepting the paper strengths clarity agreed by r4 r2 r1 the paper is easy to read and follow the core contributions r3 had a concern about the correctness of a derivation which was resolved in the discussion the work solves a core problem of generative models over mul... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a selfsupervised learning task of shuffling input patches and demanding the network to learn to unshuffle a related prior work noorozi and favaro 2016 uses a fixed set of permutations to... | there is clear consensus on this submission reviewers cite a lack of comparison with recent stateoftheart methods and experiments on more realistic datasets though the reviewers find aspects of the approach interesting the decision is to reject |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is introducing a tool intended for analysing rl processes based on visual information in order to help the researchers to understand what is happening with the agent environment interaction the s... | we also had some discussions about the paper that are not visible to the authors to summarize the reviewers appreciated the efforts the authors put into the replies and updates while those clarifies quite a few points the paper unfortunately is still not publishable in its current form at iclr overall the paper tackle... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of increasing performance on out of domain ood classification ie generalizationrobustness on data distributions different from the training dataset in particular this work fo... | the paper proposes a new method for leveraging a zoo of pretrained models for improving ood generalization in an efficient way the reviewers agree that the results are strong |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper considers the longrange dependency and proposes four levels of injection of longerrange graph structure information based on random walks with restart rwr experimental results show that the propos... | r4 of this submission was slightly positive on this submission while all other reviewers expressed quite significant concerns in their reviews r4 also agreed that the originality and experimental results as presented in this submission are not sufficient during discussion although heshe pointed out the incorporation of... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper tackles the problem of catastrophic forgetting in a continual learning scenario in which the same classifier is trained incrementally on new classification tasks each defined on a new s... | the paper touches upon the problem of catastrophic forgetting in continual learning the idea is to enhance experience reply by explanations of the decisionpredictions made technically this remembering for the right reasons loss adds an explanation loss to continual learning this is an interesting idea as also the revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows an augmented universal approximation ua result for neural networks that the authors call abstract ua aua for short and the motivation comes from understanding expressivity and certifiability... | the authors extend prior work showing that networks trained to be certifiably robust using interval bound propagation are universal approximators they extend prior results applicable to relu networks to a much broader class of networks with general activation functions the paper makes an interesting contribution to t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents an algorithm and interface to retrieve parts of executions of an ai agent that comply with some specifications on the initial and final states the paper describes a linear temporal logic ... | the problem looks at the problem of developing an interface and rrelated algorithm to retrieve relvant agent behavior the queries here are mapped to ltlf formula which is then used to drive the retrieval process both reviewers found the paper interesting and well written reviewer xqkp brings up a good point that the me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a graph neural network based forecasting algorithm for battery state of charge building on prior work the paper proposes a regularization based on reconstruction loss evaluation on a batt... | the paper proposes to apply graph neural networks to predict battery state of charge the main concern is the lack of technical novelty since the main work is a straightforward application of existing works the work could be better suited for a more applicationoriented venue |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the task of controlling an unknown stochastic linear dynamical system subject to changing convex costs revealed online the main result is a computationally efficient achieving t05 regre... | i recommend acceptance due to the unabiguously and uniformly positive opinions of the reviewers the reviews identify the authors clear contribution improving the rate for a problem of interest in the community online linear control with relaxed assumptions concerns about clarity or alternative approaches were resolved ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new large language model called htlm short for hypertext language model the language model has been trained on 25tb of html text the authors argue that html tags provide valuable inform... | this paper develops a new large language model trained on 25tb of simplified html text data the html tags provide valuable information about the document structure the training adapted the bart denoising objectives to inject noisy size hint to control generation length during training the paper also studies various pro... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after reading the author response and the feedback from the others thank the authors for their response i still think the assumptions made in the paper are strong for example the assumption in equatio... | the problem as formalized in this paper is essentially a domain adaptation problem there is a training distrinution p and a test distribution p the learner gets training data generated by p and aims to minimize the loss of its hypothesis wrt p how is it relate dto fairness the authors add the assumption we assume the u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
inspired by the moma dataset and the activity parsing task in prior works this paper moves one step further to incorporate videolanguage models with activity parsing it proposes 1 activity graphs as a unifi... | the work is of a high quality but the reviewers have struggled to understand certain aspects of the documentation and source code in the first version the authors have worked to provide an improved version but unfortunately only one reviewer engaged in reevaluating the work however theres always been the question of w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a metasolver for particular program synthesis problems where the model has access to a logic specification of the program to be synthesized and a grammar that can change from one task in... | this paper presents an rl agent which progressively synthesis programs according to syntactic constraints and can learn to solve problems with different dsls demonstrating some degree of transfer across program synthesis problems reviewers agreed that this was an exciting and important development in program synthesis ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
very useful study on calibrating ood models and benchmarks this paper provides a finegrained analysis on nature of distribution shifts in image datasets through extensive experiments on various benchmark ... | the paper proposes a general framework to reason about finegrained distribution shifts evaluating a large set of different approaches in a variety of settings all reviewers recommend acceptance while concerns were raised including questions about the generality of the framework unsurprising tips and unclear takehome me... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents multiberts a set of 25 model checkpoints and the multibootstrap a nonparametric method to estimate the model uncertainty the experiments verified the proposed method on a case study of ge... | this paper is a resource and numerical investigation into the variability of bert checkpoints it also provides a bootstrap method for making investigations on the checkpoints all reviewers appreciate this contribution that can be expected to be used by the nlp community |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigated the robustness of rl policies learning under different environmental conditions based on the observations that policies learnt in different experimental settings lead to different ... | the paper presents a strategy for randomizing the underlying physical hyperparameters of rl environments to improve policys robustness the paper has a simple and effective idea however the machine learning content is minimal i agree with the reviewers that in order for the paper to pass the bar at iclr either the propo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces two different interpretations of free energy minimization as a form of behavior cloning and reinforcement learning strength this approach seems to have significant gains on the env... | this paper proposes a new algorithm that combines imitation learning and reinforcement learning based on an extension of the free energy principal the experts demonstrations are encoded as a policy prior and a posterior policy is inferred by maximizing expected rewards while at a highlevel this is a promising direction... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a method to select a group of pretext tasks from a given set of tasks for optimising the network training during selfsupervised learning phase the weights for the given set of tasks are ... | the paper proposes a method for selecting a group of pretext tasks out of a set of candidates in order to optimize self training for downstream performance the method relies on hilbert schmidt independence criterion hsic and uses a few data samples to select weights for the given set of tasks the paper demonstrates tha... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates bandits and reinforcement learning problems under the conservative setting where it is required that with high probability the performance of the proposed policy is comparable to tha... | summary the paper studies rl and bandits in the conservative setting where the performance of the new learnt policy should never be significantly worse than that of a baseline discussions the main concern of the reviewers was about novelty and specifically what new techniques and ideas were brought in this work compa... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present an algorithm for learning the dynamics prediction of deformable and fluid bodies by modeling them as potentially hierarchical systems of many interacting particles this model applies a ... | the paper proposes a particle based framework for learning object dynamics a scene is represented by a hierarchical graph over particles edges between particles are established dynamically based on euclidean distance the model is used for model predictive control and there is also one experiment with a particle graph b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposes a unified and general way of training neural network with reduced precision quantized synaptic weights and activations the use case where such a quantization can be of use is the deploy... | this paper proposes an effective method to train neural networks with quantized reduced precision its fairly straightforward idea and achieved good results and solid empirical work reviewers have a consensus on acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
since the publication of pgnn you et al 2019 it has become clear to the graph ml community that node positional information can be effectively leveraged for link prediction and pairwise node classification ... | this work proposes a modification of a gnn architecture by feeding random node features to bootstrap the message propagation this enables the discriminability of automorphic node pairs with a lightweight simple change experiments are reported showing improvements over baselines reviewers had mixed impressions of this ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies congestion games which has wide application in practice the authors propose novel algorithms for learning the congestion game with semibandit or bandit feedbacks ie the centralized algori... | this paper examines the behavior of certain payoffbased learning algorithms in repeated congestion games the initial reviews were positive but a more detailed reading of the paper and the discussion phase revealed the following issues in terms of technical results the authors are not proving convergence to nash eq... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose a method for multicategory marked temporal point processes mtpps generation with sparse incomplete and small training dataset they apply adversarial autoencoder aae and feature m... | this paper proposes a new generation technique for multicategory marked temporal point processes the paper was reviewed by three expert reviewers who expressed concerns for limited novel contributions theoretical justification and empirical evidence the authors are encouraged to continue research taking into considera... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a novel normal estimation method called hsurfnet the method works by implicitly learning hyper surfaces in a high dimensional feature space the method includes a novel space transformati... | this paper proposes an approach to fit implicit surfaces for surface normal estimation reviewers unanimously agree on its novelty and performance ac hence recommends acceptance |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces a formal definition of harm that builds upon the modified halpernpearl definition of actual causation the main differences between the definition and previous definitions in the literat... | the paper aims at formally defining a qualitative notion of harm based on actual causality this is an important problem tackled also or in even in particular for ml research many ethical issues raised about ai circle around a notion of harm such as discrimination induced by classifiers decision of autonomous agents and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary of the paper the authors focused on the fact that there are two types of stochasticity in sgmcmcs one is the intrinsic randomness of mcmc and the other is the randomness introduced by gradient sub... | this paper describes a nonuniformly weighted version of sgmcmc combining aspects of sg methods and importance sampling the idea is interesting and novel but unfortunately the authors have not made a compelling case for the resulting algorithm being a practical addition to the literature the experimental analysis is not... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main contribution of the paper is a differential private mechanism for federated learning further they provide experimental evaluation of the same using mnist and fashion mnist datasets strengths of the... | this paper proposes the distributed skellam mechanism for differentially private federated learning that relies on secure aggregation since multiparty computation protocols rely on finite precision the skellam distribution meets the criteria of closure under addition and discreteness during the discussion the reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 paper summary this paper proposes a method for solving linear cca on high dimensional data linear cca has a closed form solution the solution requires a whitening step that costs od3 this makes it not ap... | this paper gives a new algorithm for the cca problem the main idea of the new algorithm is to reformulate the matrices in the cca problem as a product of three matrices one orthonormal matrix one rotation and one upperdiagonal matrix the algorithm then performs remannian gradient descent to these components the periter... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed an algorithm for sampling dags that is suited for continuous optimization the sampling algorithm has two main steps in the first step a causal order over the variables is selected in th... | the authors proposed an algorithm for sampling dags that is suited for continuous optimization the sampling algorithm has two main steps in the first step a causal order over the variables is selected in the second step edges are sampled based on the selected order moreover based on this algorithm they proposed a metho... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper investigates two different strategies for adding monotonicity into the training of nns one in which the monotonicity is required on some subset of the input and one in which monotonicity is encour... | this paper proposes a new approach to enforce monotonicity in the context of risk minimization or to promote it as an inductive bias this improves upon existing pointwise gradient based methods by expanding the region where monotonicity is enforced group monotonicity is found valuable as a regularization for convolut... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors release metscov a dataset containing medical entities and targeted sentiments from covid19related tweets the medical entities include 4 medical entity types disease drug symptom and vaccine and... | in this work the authors introduce metscov a dataset that contains 10000 annotated tweets with 7 types of entities including 4 medical entity types disease drug symptom and vaccine and 3 general entity types person location and organization out of those entities person organization drug and vaccine are annotated with u... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes a constellation model that performs feature clustering and encoding dense part representations the constellation module is placed after convolutional blocks the module clusters c... | this paper proposes a metalearning method that learns structured features based on constellation modules exploiting object parts and their relationships is a promising direction for fewshot learning as anonreviewer3 described the effectiveness of the proposed method is demonstrated with experiments using standard bench... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a method for uda object detection the core idea is to increase the discriminative ability of learned features in the target domain while still globally aligning the feature distributions... | this paper presents a method for unsupervised domain adaptation focusing on the object detection problem under this framework the paper proposes modules of domain adaptive instance normalization global style alignment and local content alignment the proposed method is evaluated on multiple datasets several reviewers h... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the submission considers a frankwolfe based algorithm for approximating tylers mestimator overall main benefits of frankwolfe based algorithms for this problem is the lower computational complexity per iter... | the scores on this paper were quite spread and the reviews at times a little imprecise however looking more closely at the discussion as well as reading the paper myself i believe this paper should be accepted |
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 rnn architecture named sgornn the highlevel idea is to add a residual connection between hidden states and to parametrize the weight matrix by the product of a series of... | this paper considers the exploding gradient problem in rnns the proposed network sgornn can be seen as an extension to the fastrnn model by adding orthogonal weight matrices i recommend rejection for this paper mainly for two reasons first as mentioned in the review of reviewer 815o and reviewer w7ns adding orthogo... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
pros the paper was wellwritten and explained the method and the experiments well cons the problem seems illposed to me sound is temporal and the problem should probably be soundtovideo conversion not sou... | the work presents a new way to generate images from sounds the reviewers found the problem illdefined the method not wellmotivated and the results not compelling there are a number of missing references and things to compare to which the authors should change in a followup |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the report reproduces the result of the cvpr 2021 paper titled lifting 2d stylegan for 3daware face generation scope of reproducibility the study shows that the qualitative and quantitative results in the ... | a good reproducibility study the authors of the paper attempt to reproduce the results using code provided by the original authors of the paper and also present some additional results on celeba dataset verifying the generalizability of the proposed approach |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper studies stochastic convex optimization in the shuffle model of privacy they claim a new noninteractive algorithm for privately computing ell2 norm which would be useful in the stochastic gradient ... | this work is on stochastic convex optimization sco in shuffle differential privacy dp models in sco a learner receives a convex loss function l theta x x reals where theta is a ddimensional vector of parameters and x is a set of data points the objective is to use samples x1 x2 xn to find a parameter theta that minim... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors argue that the unlabeled data with pseudo labels is more beneficial to the feature extractor than the mask predictor in a semantic segmentation framework based on this they introduce the gentle ... | the paper was reviewed by four expert reviewers in the field the initial ratings were three weak accept and one weak reject in the response to reviewer sfdh who gave weak reject the authors clarify all the questions from the reviewer including using labeled data in gta the data split training details advantages of re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i will give the authors credit for introducing a novel problem to study but they do not do a sufficient job motivating why the problem is an interesting or important one at a high level i can buy the story ... | the paper aims at developing mechanisms for adversarial attack and defense towards combinatorial optimization solvers where the solver is treated as a blackbox function and the original problems underlying graph structure is attacked under a given budget while the reviewers found the problem novel and interesting they ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on chinese visionlanguage pretraining vlp and argues the lack of largescale datasets and benchmarks in chinese thus making the following contributions release a largescale chinese vlp da... | this paper has collected and released a largescale chinese multimodal dataset with 100m imagetext pairs the authors have benchmarked vlp with various image encoders and different pretraining techniques evaluation is conducted on image classification and imagetext retrieval all reviewers are positive about the paper p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a nonlearning convolution operator that simply use magnitude of feature as cue to remove redundant background points in the sparse convolution operation the authors validated the propose... | the paper shows that it is possible to obtain a good saving in both terms of flops and latency using sparse convolutions for 3d object detection by leveraging the magnitude of features after a strong rebuttal all 4 reviewers vote for acceptance of the paper with highconfidence i suggest that the authors incorporate th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
implicit representation has become a popular technique for 3d scene reconstruction existing methods do not utilize the multiview geometry constraints in the learning in this paper by leveraging sparse geome... | this paper introduces new and useful losses presents a good experimental setup supply analysis on the bias and is clearly written i encourage the authors to discuss similarities and differences to neurawarp and pointcloudsdf methods in their revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript studies the problem of domain generalization and proposes a method dubbed rex for this purpose the main movitation of this work over the invariant risk minimization irm 1 paradigm is that ir... | the paper is proposing risk extrapolation rex as a domain generalization algorithm authors extends the distributionally robust learning to affine mixture of distributions from convex mixture authors later uses variances instead of this extension and demonstrate various empirical and theoretical properties the paper is ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper proposes to subsample the computational graph to obtain an unbiased gradient estimator with less memory requirement in the same spirit as minibatching reducing the memory of the fullbatc... | the reviewers agree that this is an interesting and original paper that will be of interest to the iclr community and is likely to lead to follow up work |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this submission draws a connection between deep representation learning and continual learning the authors include theoretical and empirical analyses that suggest that the learned model for conti... | this paper explores the connection between diversity of gradients and discriminativeness of representations based on the observations authors propose discriminative representation loss drl this paper resulted in a lot of discussions and specifically r5s detailed comments helped the authors improve their paper authors ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
paper summary the paper presents new techniques to enable secure neural training in the teegpu paradigm this is a natural extension of previous work like slalom which only handles the inference case the au... | while all reviewers agree the problem of tees for model training is well motivated the reviewers remain divided on whether the concept of randomly selecting computations to verify has sufficient novelty and whether the proposed gradient clipping method is well motivated |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors trained autoencoders and variational autoencoders in cartesian space as well as autoencoders in logpolar space with generated data representing a range of interesting transformations they then t... | this paper studies different inductive biases that would improve ood generalization and in particular under translation rotation and scaling for image tasks the study is focused on a toy dataset which allows authors to have more control over the data generation process and the transformations authors further show that ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to leverage images to train an unsupervised machine translation mt model their main idea is that the similarity of images can be used as a proxy for the similarity of sentences describin... | overall all reviewers generally agree that the idea of using visual similarity to unsupervised alignment of multiple languages is interesting and the proposed method and dataset are welldesigned while three of them raised some concerns related to the retrieval nature of the method in particular discussions about its p... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper focuses on the causal perspective of domaingeneralization and domain adaptation setup for images ie classifying an image under some distribution shift at test time similar to previous work... | the paper formalizes domain adaptation by taking the causal generative direction of dependencies pimage class domain they evaluate an elbo surrogate loss by fitting a reverse q function that is new for this setup and add a term to the loss that induces independence between class and domain the paper also proves iden... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed meta domain adaptation to address domain shift scenario in meta learning setup the proposed model combines few shot metalearning with the adversarial domain adaptation to demonstrate pe... | this paper addresses the problem of few shot learning and then domain transfer the proposed approach consists of combining a known few shot learning model prototypical nets together with image to image translation via cyclegan for domain adaptation thus the algorithmic novelty is minor and amounts to combining two tec... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a new parameterized data partitioning and weighing scheme that partitions data into three groups easy medium hard and determines a curriculum based on relative importance of different sa... | the paper proposes a new curriculum learning framework by parameterizing data partitioning and weighting schemes extensive experiments are performed on three different datasets to demonstrate the effectiveness of the proposed framework the reviewers acknowledged that the proposed framework is interesting as it encompas... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates the robustness of stochastic neural networks against adversarial attacks to that end it derives a sufficient condition on the robustness in terms of the decision margin the gradient ... | all reviewers agree this paper studies an important problem and presents a principled analysis for robustness of snns empirical results though limited seems to be complementing the analysis well one reviewer rated the paper negatively i find their concerns to be well addressed in the rebuttal phase overall this a bord... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this study develops a new method for simulationbased inference rnpe capable of diagnosing model misspecification and reducing its impact on posterior inference the empirical results on three tasks show that... | the reviewers based on their scores are not in consensus about this paper however there has been an extensive amount of conversation between reviewers amongst themselves and with the authors who have made significant updates to the manuscript that have been appreciated by the reviewers two reviewers champion the paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a meta learning approach to select the best tradeof between memory usage and bit precision for dnn training this approach is evaluated on 87 datasets and 99 bitprecision configurations th... | the paper considers a learning problem to determine the best lowprecision configuration within the memory budget it is an interesting problem that could be of interest to the community overall the reviewers were fairly positive on the paper and believe the paper give interesting insights into how to use limited memor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a pluggable method that learns a dynamic prediction error bound epsilon for some errorbounded learned indexes with the proposed method the learned index can make a better tradeoff betwee... | all of the reviewers recommended acceptance but the support was lukewarm with the maximum score being weak accept there were concerns about the limited applicability of the proposed method and lack of clarity of some of the arguments in the paper although the reviewers appreciated the mathematical foundations and exper... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper attempts to address the limitations of messagepassing tgns mptgns and walkaggregating tgns watgns to be specific a socalled positionencoding injective temporal graph net pint is proposed which not... | this paper considered temporal graph networks tgns it first analyzed the representational power and limits of the two main categories of tgns watgn and mptgn proving neither category subsumes the other it extended the 1wl weisfeilerleman test to tgns and showed when tgns become as expressive as the temporal wl it also ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a graphsequencetosequence graphseq2seq model to fuse the dependency graph among words into the traditional seq2seq framework clarity this paper is basically well written tho... | this paper proposes a new method for graph representation in sequencetosequence models and validates its results on several tasks the overall results are relatively strong overall the reviewers thought this was a reasonable contribution if somewhat incremental in addition while the experimental comparison has greatly ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the work integrates human supervision into representation learning process to compute visual object representations inline with human requirements for interest tasks the work combines existing contrastive l... | the paper presents a method for humancentric object recognition with the application domain being the recycling conveyor belts where human and robot can coexist the papers strengths are the compelling motivation of the proposed method the clear technical description of the work the interesting dataset used in this... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed framework is quite general and offers a grammar for composing inference algorithms that applies to essentially all modern variational inference details are given for how to derive many existing... | meta review note one reviewer wanted to raise their score from 5 to 6 but was not able to do it in the system after the rebuttal phase the paper proposes an intriguing framework for recursive approximate inference meaning that intractable variational distributions are recursively approximated via metainference pros i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall the paper identifies a wellknown problem in gnn that is how to incorporate longrange information into gnn computation the papers propose that this is due to the oversquashing problem and provides so... | the paper identifies the phenomenon of oversquashing in gnns and relate it to bottleneck while this phenomenon has been previously observed the analysis is new and insightful the authors conclude that standard message passing may be inefficient in cases where the graphs exhibit an exponentially growing number of neighb... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed a new selfsupervised mvs method called elasticmvs instead of relying on local photometric consistency as in existing methods the proposed method utilizes geometric correlations parsed fr... | all the reviewers acknowledged the strength of the paper selfsupervised learning for mvs using contrastive learning to help correspondence based on learned features sota results are obtained on dtu and tt benchmarks and the evaluationsablation studies are well presented the reviewers also shared weaknesses the elastic ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
update i have read the author response and the updated version of this paper i am delighted to see that the authors have incorporated my feedback and i believe this makes the paper stronger than its previo... | this paper proposes asymmetry learning for learning counterfactual classifiers ie classifiers which are invariant to certain symmetry transformations wrt hidden variables that differ between the training and test sets the reviewers universally agreed that the proposed setting and theoretical contribution were interest... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper is one of the first to study the attributebased recommender system a largely overlooked problem this problem also has great practical significance the authors developed a novel method that is pos... | all the reviewers reach an agreement that the paper is wellwritten and wellmotivated please consider incorporating the comments from the reviewers especially reviewer 2ru3 into the final version |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well organized exhaustive experiments were conducted to investigate the performance of the approach against other baseline approaches the idea leads to very good segmentation quality in the... | the authors propose using neural implicit functions to reconstruct high resolution shapes from low resolution anisotropic or sparsely sampled segmentation maps the approach is based on creating a neural implicit representation of shape where a shape prior is learned from a training dataset with the same level of aniso... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed an approach to propagate probability distribution through neural networks in particular the authors use local linearization to handle nonlinearity and show its optimality in terms of tot... | the paper discusses propagating input uncertainty through nonlinear layers by a simple local linearization approach this is a straightforward idea and the authors explain how this is an optimal approximation of the propagated distribution for total variation and relu nonlinearity for a single layer this is an interesti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes using a continuoustime formulation along with forwardmode differentiation to perform metalearning the setup follows that of anil the weights of the last layer is part of the inner loop o... | this paper addresses a continuoustime formulation of gradientbased metalearning comln where the adaptation is the solution of a differential equations in general outer loop optimization requires backpropagating over trajectories involving gradient updates in the inner loop optimization it is claimed that one of main ad... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary in this paper the authors propose a modified weisfeiler leman wl algorithm for graph similarity computation dubbed as gradual wl gwl in particular the authors claim that the wl algorithm is sensiti... | we discussed this case among the pcs and find that the paper is ready for publication since all the major concerns have been addressed during the rebuttal phase we strongly encourage authors to extend their paper in particular with respect to the related work during the cameraready phase |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the main contribution of the paper is a new model compression method that simultaneously 1 preserves the original models perexample decisions 2 maintains the networks structure 3 determines the perlayer com... | the submission proposes an interpolative decomposition scheme for neural network compression to reduce flops and number of parameters at a reduced cost in accuracyfaithfulness to the original model the authors provide theoretical evidence albeit in the two layer case and empirical evidence on a set of architectures and... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper focus on single image test time adaptation of deep neural network for distribution shift in classification task prior works perform test time adaptation on a batch of images or entire test dataset... | the reviewers agree that testtime model adaptation is an interesting problem providing a new perspective to improve model robustness the proposed method builds on intuitive assumptions that are easy to understand however there are mainly two concerns regarding novelty and effectiveness the paper can improve in these tw... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
a new probabilistic model called logical credence networks is proposed the model allows us to specify ranges of probabilities for logical rules the probabilities may be specified as conditionals or marginal... | the theoretical connection of logic and probability via credal networks has been seen as positive the computational complexity is a negative point as it is even harder than credal networks which are already very hard to solve the expressive representation framework has outweighed the high complexity in the discussions ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors propose to use a guided filter for appearance regularization which seems to facilitate disentanglement between shape and appearance in multimodal datasets some results are interesting and well pre... | this is a borderline paper the reviewers appreciate the method which is interesting and of high current interest but there are also concerns regarding the experimental validation which is promising but limited |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes a modified bellman equation for reinforcement learning that optimizes the maximum expected single step reward along a trajectory instead of the maximum cumulative reward this ... | the paper considers an alternative to the standard mdp formulation motived by the novo drug design problem the formulation is meant to optimize a notion of expected maximum reward along the trajectory rather than the expected sum of rewards the formulation is presented through a variation of the bellman equation thu... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a phenomenon wherein the feature vectors of the learned value function in reinforcement learning rl lose their diversity as training progresses the paper analyzes the rank of the final ... | knowledgeable r3 found the paper very good 8 heshe found the authors responses very informative and that edits made the paper much stronger r2 expressed reservations about rank collapse being the cause of degradation of performance but also indicated hisher willingness to increase the score if the authors can convincin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a phenomenon where machinelearned models may influence user behaviors in future iterations creating selfselection effects such as filter bubbles or propagation of fake news the paper ca... | this is a thoughtprovoking paper which describes a significant problem that plausibly occurs in deployed mlrl models the paper is clearly written describing claims using examples and developing small unittests to probe models however as the reviews and discussion show the exposition should be substantially reworked so... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i think this work addresses and answers a very important question for the neuroimaging community as results of deep neural networkbased segmentation have not been as impressive as in other fields and the s... | the paper presents a novel idea of a 25d segmentation approach considering the characteristics of medical imaging data the practical importance and novelty of the proposed approach are well received by all the reviewers clear description and illustration are included appropriately in the paper some experimental details... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes optimal transport ot for the multimodal fusion procedure of multimodal kge it further provides theoretical analysis on target errors in ot fusion and generalization bounds for multimodal... | this paper presents a method to learn multimodal knowledge graph embeddings to integrate the embeddings from different modalities which is a difficult task because of the heterogeneity across the different modalities the paper presents an optimal transport based method to learn multimodal embeddings the paper received... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors tackle the problem of learning to locomote with morphological perturbations eg when the length and the thickness of different body parts vary they propose a biologicallyinspired attentionbased p... | this paper examines the problem of learning locomotion for a simulated robot body when the length and thickness of the body parts are varied the proposed method generates a distributed policy with controllers for each joint and an attention mechanism that dynamically gates sensory information from different body parts... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study online learning in a parameterfree setting these settings have the benefit of being applicable to settings where the domain is unbounded and where prior information is not available they g... | this is a technical but interesting paper on online linear optimization the nice contribution is a control of the switching cost moving from one action to another which makes the problem highly nontrivial the contribution is to consider a smaller set of assumptions hence a weaker asymptotic result than in the existing... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents an algorithm for model selection with nested model classes when used with value function approximation for offline rl the bound achieved by the proposed algorithm is minimax rateoptimal ... | this paper studies the model selection problem in the offline rl setting the paper focuses on a theoretical study where a sequence of nested models are provided and the algorithm ought to output a class that nearly matches the optimal one the socalled oracle inequality it is surprising that the proposed algorithm is si... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that under several assumptions online mirror descent for convex losses can be written as a perturbed version of online gradient descent for possibly nonconvex losses with an o t23 regret u... | the main result of the paper is on establishing an approximate equivalence between online gradient descent ogd on nonconvex losses with online mirror descent omd on convex reparametrizations of the losses in a previous result by amid and warmuth which applies to the the continuoustime setting we have exact conditions w... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper introduces algorithms for sampling constrained distributions assuming the existence of a mirror map that maps from the primal space to the dual space the authors introduce an algorithm msvgd that ... | the paper proposes to extend mirror descent to sampling with stein operator when the density is defined on a constrained domain and non euclidean geometry all reviewers agreed on the novelty and the merits of the paper accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies whether a model can generate its language instruction to solve long and complex sequential tasks importantly groundtruth natural language instruction is only provided during a pretraining... | although some reviewers still had concerns about the novelty of the proposed method most of the other concerns have been addressed in a satisfying manner according to reviewers they globally have a positive opinion about the paper after revision |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors introduce neubanp an extension of banp that replaces the iterative prediction method of banp with a single prediction step following the idea behind the neural bootstrapper this new model is com... | overall the work is borderline with no reviewer feeling strongly for or against the paper the paper is wellwritten and proposes a simple approach along with code for reproducibility criticism stems primarily in the works technical novelty being an incremental improvement of ideas from anp and banp and related work lik... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper discusses the problem of online fair allocation under nonstationary data distributions the authors describe the problem of fair item allocation at stake and the pace algorithm they base their anal... | this paper studies the problem of online fair allocation pace algorithm has been proposed earlier to tackle this problem earlier analysis of this algorithm was under iid assumption this paper presents a significant extension of the earlier work providing guarantees for pace under a significantly less restrictive data g... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the writing being poor the strengths of the paper are unclear for me the experiments suggest that the computation of the banzhalf value provides an approximation of the shapley value and is faster to o... | meta review pros 1 the paper contributes some new ideas 2 the paper is likely to have a moderate impact within a subfield of ai 3 the experimental evaluation is adequate and the results convincingly support the main claims 4 the paper is well organized but the presentation could be improved 5 empirical evaluation cons... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the viewpoint is quite novel and is built with nice connections to neural network optimization literature the paper has claimed several times that one can improve stability and plasticity simultaneously th... | there was some positive consensus towards this paper which slightly improved after the very strong author rebuttal reviewers in general appreciate the simplicity of the approach as well as its effectiveness the most acute criticisms derived from several theoretical and technical points similarity with mizadeh 2020 and ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed value target lower bounding as a simple modification to the bellman operator that intends to improve convergence speed it proves that using such a lower bound in the bellman backup does ... | in the end this paper essentially proposes a minor variation on an idea that 1 has been published before 2 is not used extensively at all and 3 seems applicable in its current form only on deterministic environments this without additional insights or analyses seems too marginal a contribution for acceptance the pape... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposed cuboid attention as an alternative to regular attention for forecasting earth systemlike data the paper presents results on a toy nbody mnist dataset and two real datasets one on precipi... | this work proposes a transformerbased architecture using 3d blocks for spatiotemporal prediction designed specifically for earth system forecasting applications the authors show that this method considerably outperforms other approaches both on two climateweather forecasting tasks and on unrelated synthetic tasks the r... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
an improved method to approximately solve the schroedinger equation is described which combines ideas from the paulinet and ferminet papers a variety of ablation studies are performed good performance is ac... | there is a clear consensus among the reviewers that this is a quality paper and worthy of acceptance in fact this may be the first time ive ever seen 4 reviewers give the exact same score so i recommend accept i do however have one additional comment i find the current title somewhat unwieldy and wonder if it would be... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper tackles the problem of evaluation of language generation models and particularly focuses on the comparison between ganbased language models ganlm vs likelihoodbased language models mlelm studying... | this paper conducts experiments evaluating several different metrics for evaluating ganbased language generation models this is a worthy pursuit and some of the evaluation is interesting however as noted by reviewer 2 there are a number of concerns with the execution of the paper evaluation of metrics with respect to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper introduces a package for computing the secondorder information of neural networks based on the lanczos algorithm the authors showcase the usages of the package with 1 visualizing the eig... | this paper proposes a software package to ease and provide a standard way for hessianrelated computation both for loss analysis and second order optimization i think all reviewers agree with the usefulness of this work but differ in their assessment whether this work is ready for publication given the emphasize on prov... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper introduces a brand new graphical modeling framework from the perspective of neural odes traditionally structure learning involves using sampled data to learn the structure of graphs this paper ho... | this main focus of this paper is graph modeling specifically this paper considers a setting in which data is generated under continuous time dynamics based on neural ode theoretical results regarding parameter estimation are provided the results are also supported by experiments the reviewers appreciate a thorough res... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
analysis of how apis change over time comparison of several commercial apis over three years the opportunity to analyze the changes in ml models predictions comparison of several commercial apis could ... | this paper proposes a dataset of commercial ml api performance through time which is an interesting topic given the wide usage of such ml apis and their evolving performance and blindspots isnt necessarily always considered the initial reviews had high variance there were some very high scores but also recommendations ... |
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