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Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel algorithm for identifying provably robust adversarial examples large regions in the input space that provably contain only adversarial examples each region corresponds to a sing... | in this paper authors introduce and study provably robust adversarial examples reviewers had mixed thoughts on the work one reviewer mentioned that the provable robustness is somehow overstated in the work looking at the title and abstract it sounds like the paper develops a new algorithm that is guaranteed to be robus... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
1 in the introduction the author separately pointed out the issues of duq and dkl however these issues are not convincing as no citations or theoretical proof is provided in this paper the notations in the... | the reviewers all agreed that the paper represent thorough work but also is closely related to existing literature all referees point to other nonoverlapping literature so it is a crowded field the authors have entered the amount of novelty needed can always be discussed but given the referees unanimous opinion and kno... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a new method for retrosynthesis which does not require the mapping numbers and extracting templates from the literature basically the model consists of a graphbased encoder and a seque... | while the reviewers appreciated the methods ability to replace transformer models and smiles data augmentation their main concerns were with a the experimental section and b the technical innovation over prior work which updated drafts of the paper did not fully resolve specifically for a this work performs very simila... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes to incorporate the proprioceptive and visual information together for quadrupedal locomotion the authors introduce a new model architecture named locotransformer that consists of separat... | the paper addresses visionbased and proprioceptionbased policies for learning quadrupedal locomotion using simulation and realrobot experiments with the a1 robot dog the reviewers agree on the significance of the algorithmic simulation and realworld results given that there are also realrobot evaluations and an interes... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary this paper proposes an unsupervised graphlevel representation learning method considering globallocal disentanglement specifically the authors propose a gldisen model based on graph vae architectu... | in this paper the authors designed a disentanglement mechanism for global and local information of graphs and proposed a graph representation method based on it i agree with the authors that 1 considering the global and local information of graphs jointly is reasonable and helpful as shown in the experiments and 2 dise... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposed a joint approach to learn embeddings for kg entities from both descriptions and kg structure for the task of openworld knowledge graph completion the main idea is separate modules for obt... | this paper presents a new approach called foik to learn entity embeddings that exploits not just the kg structure but also the textual entity descriptions evaluated on the task of openworld knowledge graph completion extensive experiments show the value of the approach the authors were able to address most reviewer fee... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the present paper analyzes the learning dynamics of node perturbation np a biologically plausible learning algorithm used to train feedforward networks overall the paper states a negative result about the u... | authors theoretically analyze and numerically verified statistical properties of node perturbation which is one of the more biologically plausible but slower learning rule authors show both the benefits and limitations of the naive node perturbation in terms of learning trajectory in particular node perturbation is uns... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper presents a graph neural network gnn architecture with learnable lowrank filters that unifies various recentlyproposed gnnbased methods the local filters substitute the graph shift operato... | all reviewers expressed consistent enthusiasm on this submission during the review process no reviewers expressed concerns and objections to accept this submission during discussion it is quite clear this is a strong submission and deserves accept |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
authors correctly point out the tradeoff between adaptation costs and performance on novel datasets motivated by this tradeoff authors introduce a novel adaptation layer based on squeezeandexcitation that p... | the reviewers consider the work technically solid but were concerned about the contextualization of this work in the literature postrebuttal some of the reviewers concerns are resolved |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes fast lifelong adaptive irl flair a learning from demonstration framework that aims to maintain a collection of learned strategies that may be mixed in order to model subsequent demonstrat... | phase 1 strengths the submission provides a new and technically relevant method it is well structured and intuitive in its argument it provides a thorough experimental evaluation including real world robot experiments in a challenging domain weaknesses some weaknesses are found in the evaluation and multiple reviewer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper shows that even when the posterior is as private as targeted in the beginning sampling from posterior with sgls might not be as private as targeted the authors prove the theorem on bayesian linea... | this paper shows that slgd can be nonprivate in the sense of differential privacy even when a single step satisfies dp and also when sampling from the true posterior distribution is dp i believe that it is useful to understand the behavior of slgd in the intermediate regime at the same time the primary question is whet... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes the use of an evolutionary algorithm to construct decisionbased blackbox adversarial examples with l0 or sparsity constraints against image classifiers such as cnns and image transformer... | this paper introduces a technique to generate l0 adversarial examples in a blackbox manner the reviews are largely positive with the reviewers especially commenting on the paper being well written and clearly explaining the method the main drawbacks raised by the reviewers is that the method is not clearly compared to ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
gradient stochasticity is used to analyse the learning dynamics of sgd it consists of two aspects norm stochasticity and directional stochasticity although the norm stochasticity is easy to compute it vani... | the paper presents a careful analysis of sgd by characterizing the stochastic gradient via von misesfisher distributions while the paper has good quality and clarity and the authors detailed response has further clarified several raised issues some important concerns remain reviewer 1 would like to see careful discussi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors combined existing ophthalmology datasets and introduced additional biomarkers labels the authors identified ml tasks that are relevant to patient care and benchmarked classification performance... | the reviewers struggled to find a consensus for this paper concerns about applicability of the dataset due to domain shift issues with the data collection size of the dataset and clarity of the paper were raised at the same time i believe that despite its size the value of longitudinal data for diagnostics is extremely... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper extends the wasserstein autoencoder wae work by splitting the divergence on the variational marginal into 2 terms akin to what was done in tcvae this enables directly controlling the explicit con... | there were both positive and negative assessments of this paper by the reviewers it was deemed a well written paper that explores cleanly rederiving the tcvae in the wasserstein autoencoder framework and that has experiments comparing to competing approaches however there are two strong concerns with this paper first n... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proves a theoretical limitation of narrowanddeep neural networks it shows that for any function that can be approximated by such networks its level set or decision boundary for binary classificat... | the paper shows limitations on the types of functions that can be represented by deep skinny networks for certain classes of activation functions independently of the number of layers with many other works discussing capabilities but not limitations the paper contributes to a relatively underexplored topic the settin... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper describes an approach to finetuning large language models which can improve zeroshot accuracy on unseen tasks overall wellwritten with compelling results this paper describes a new language mode... | this paper examines the extent to which a large language model lm can generalize to unseen tasks via instruction tuning a process that finetunes the lm on a large number of tasks with natural language instructions at test time the model is evaluated zeroshot on held out tasks the empirical results are good and the 13... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on the attack that tries to recover text data from the gradients this type of attack is a threat particularly for federated learning where the central server may recover the private clien... | this paper describes a novel method to recover the input text based on the computed gradient this is important in the context of federated learning which promises to enable learning through gradient sharing while keeping the input text secret the findings of the paper demonstrate that gradients are sufficient to recove... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates a semisupervised continual learning sscl setting and proposes a new method called distillmatch for this setting the major contributions are 1 the authors carefully design a realistic... | this paper proposes a semisupervised setting to reduce memory budget in replaybased continual learning it uses unlabeled data in the environment for replaying which requires no storage and generates pseudolabels where unlabeled data is connected to labeled one the method was validated on the proposed tasks pros the s... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
docsepthis paper aims to construct a gan that can be applied to noniid federated data to achieve this aim the authors propose an extension of bayesian gan called expectation propagation prior gan epgan whic... | this paper presents a bayesian gan approach designed for a federated learning setting in contrast to recent bayesian gan approaches that use gaussian priors or iterativelyupdated priors on gan parameters this paper proposes a more complex prior motivated by expectation propagation dubbed as epgan and uses this formulat... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the present paper proposes a fast approximation to the softmax computation when the number of classes is very large this is typically a bottleneck in deep learning architectures the approximation is a spars... | this work proposes a new approximation method for softmax layers with large number of classes the idea is to use a sparse twolayer mixture of experts this approach successfully reduces the computation requires on the ptb and wiki2 datasets which have up to 32k classes however the reviewers argue that the work lacks rel... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission considers a good problem but contributes a little the critical aspect of considering the convergence property for overparameterized implicit networks is to show the nonsingularity of the fe... | this paper shows gradient flow of relu activated implicit networks converges to a global minimum at a linear rate for the square loss when the implicit neural network is overparameterized while the analyses follow the existing ntktype analyses and there are disagreements among reviewers on the novelty of this paper the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
overall comments this paper propose a principled method to generate hard positive and negative samples based on conditional likelihood for contrastive learning of seq2seq models and it shows significant i... | this paper proposes a new method for conditional text generation that uses contrastive learning to mitigate the exposure bias problem in order to improve the performance specifically negative examples are generated by adding small perturbations to the input sequence to minimize its conditional likelihood while positive... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the proposed method can be a very useful tool to identify in an unsupervised fashion similar characteristics in groups of nuclei and can serve as an important tool in potentially defining morphologydriven g... | three knowledgeable reviewers recommend accept and maintained their rating after the rebuttal and discussion all of them agreed that the paper will be very interesting for the research community in the field the authors addressed the points raised by the reviewers during the discussion and updated their manuscript mor... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper argues that the main reason or a good reason for the meaningfulness of a gradient with data manifold the authors perform a set of controlled experiments with different feature attribution methods ... | this paper studies the following hypothesis that gradientbased explanations are more meaningful the more they are aligned with the tangent space of the data manifold the reviews are negative overall the general feeling is that the paper reads like a set of subjective observations about the meaningfulness of explanation... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
it is a well written paper that flows well i think the community will find it interesting as its application has not been well explored yet with deep generative models the paper also demonstrates a theoreti... | the paper addresses a challenging yet important issue of multimodal learning images and reports with deep generative models the reviewer is fairly convinced by the proposed method based on iclr paper and the potential for the application however the results are currently of somewhat performance the work will likely sti... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents various upper bounds rademacher complexity based and lower bounds fat shattering dimension based on single hidden layer neural networks these bounds shed light on the question whether the... | the paper proves a novel tighter bound normbased bound for the generalization error of twolayer networks all the reviewers agree that this is an important theoretical result and should be accepted |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a hypergraph neural network model exploiting a double attention mechanism in the message passing scheme the overall architecture is designed to process subhypergraphs once representations... | the paper proposed a gnn that explicitly treats hyperedges and makes use of strongly dual attention hypergraph regularization and weighted subgraph attention the proposed method shows better performance than existing baselines on two genetic medicine datasets explainability is also demonstrated reviewers originally ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
to tackle the unsupervised skill discovery problem the authors attempt to maximize the mutual information between latent skills and states itau z by using the nonparametric particlebased entropy estimation ... | the paper addresses the question of skill discovery in reinforcement learning can we without supervision discover behaviors so that later when supervision is available via a reward signal we can learn faster the paper proposes a new contrastive loss that an agent can optimize for this purpose based on a decomposition o... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper is well written and clearly explained the previous literature is adequately discussed and the experimental results are clear i think that the subject of interclass relationships is a relevant an... | this is a borderline paper while the underlying idea is good and relevcant the authors dont do a very good job of selling it their experiments are performed on a very specific task with limited clinical relevance the reviewers had a number of questions regarding experimental setup which were largely answered in the re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses recurrent networks with an update rule of the form ht1 rx r ht where rx is an embedding of the input x into the space of orthogonal or unitary matrices and r is a shared orthogonal or ... | paper has an interesting idea but isnt quite justified as pointed out by r2 very minimal experiments are presented in the paper pros interesting idea cons insufficient experiments with no real world problems no rebuttal either |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in the era of deep learning pretrained models have been regarded as intellectual properties of ai companies thus protecting these models has been more and more important to achieve this aim this paper propo... | the paper addresses two important aspects of deep learning model transferability and authorization for use it presents original solutions for both of these problems all of the reviewers agree that the paper is a valuable contributions minor concerns and critical remarks have been addressed by the authors during the dis... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
after looking over authors responses ive decided to increase my rating of the paper the main concern i original had was sufficiently motivating the need for this specific dataset compared to existing alter... | the paper presents a corpus of 10k news articles about protest events with document level labels sentencelevel labels and tokenlevel labels coarsegrained labels are protestnot and finegrained labels are things such as triggersplacestimespeopleetc all reviewers agree that this paper is interesting and the contributed... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper provides a benchmark dataset that can be used for training evaluation of machine learning models their contribution is that they have a large collection of 12868 sets of natural images across 410... | this work studies the impact of distribution shift via a collection of datasetsmetashift reviewers all agreed that this work is simple effective and wellmotivated and has key implications and will be quite useful to the community there were some concerns about the lack of analysis of metashift and the binary classifica... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the paper is presenting a learning algorithm for credal sum product network cspn a type of graphical model that is tractable easy to compute partition function and can encode uncertainty in the netw... | this paper develops the first structure learning algorithm for credal spns the paper is somewhat difficult to evaluate since the credal paradigm is so different from the usual maximum likelihood paradigm which makes a direct empirical comparison challenging by providing more detailed information about the uncertainty t... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the topic addressed is interesting the proposed approach is well described and extensively compared against several baselines also an ablation study is performed the approach itself integrates wellknow tec... | meta review this paper develops an approach for finegrained matching with multiperspective similarity modeling for crossmodal retrieval it contains two main novel modules one is the knowledge graph iterative dissemination kgid module for iteratively broadcast global semantic knowledge and learn finedgrained modality re... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a method for enforcing strict orthogonality of convolutional layers by means of a factorization in the spectral domain it shows that the technique can be extended to dealing with practic... | this paper proposes a method for parameterizing orthogonal convolutional layers that derives from paraunitary systems in the spectral domain and performs a comparison with other stateoftheart orthogonalization methods the paper argues that the approach is more computationally efficient than most previous methods and th... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper presents a benchmark for contemporary symbolic regression constructing a set of regression problems on which sr methods are tested the authors use a variety of datasets some from pmlb some other s... | all reviewers support accepting the paper especially after taking the author feedback into account one concern was how the proposed algorithms compare to those implemented in commercial software platforms such as wolfram the authors correctly point out that the closed source nature of these platforms makes a comprehens... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes a submodel optimization technique in federated learning in the presence of diverse data feature distributions across clients heterogenity in features of local data leads to distinct upda... | this paper considers a particular fl scenario where the model includes a large embedding layer as is typical in nlp and recommendation models to make training feasible or more efficient the fedsubavg method is proposed in particular it deals with the setting where not all features are equally encountered in training da... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors propose to use contrastive learning for matching in latent space in the wasserstein autoencoder wae in addition they employ techniques such as momentum contrast in contrastive lear... | this paper presents a variant of the wae which uses a contrastive criterion to enforce the marginal distribution matching constraint experiments show faster convergence in terms of wasserstein distance more visually appealing samples and better fid scores compared with other wae models the original wae framework leave... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this submission proposes a novel loss function based on maximum mean discrepancy mmd for knowledge transfer distillation from a teacher network to a student network which matches the spatial distribution of... | the paper presents a sensible algorithm for knowledge distillation kd from a larger teacher network to a smaller student network by minimizing the maximum mean discrepancy mmd between the distributions over students and teachers network activations as rightly acknowledged by the r3 the benefits of the proposed approac... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper discusses a algorithm for variational inference of a nonlinear dynamical models in this paper model assumption is to use single stage markov model in latent space with every latent variable zt to... | the reviewers in general like the paper but has serous reservations regarding relation to other work novelty and clarity of presentation given nonlinear state space models is a crowded field it is perhaps better that these points are dealt with first and then submitted elsewhere |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose to encapsulate the update rule for a neural net into a lookup table specifying weight changes for each combination of presynaptic input to the weight and postsynaptic activation of the u... | this paper explores metalearning of local plasticity rules for anns the authors demonstrate that they can metalearn purely local learning rules that can generalize from one dataset to another though with fairly low performance it should be noted and they provide some data suggesting that these rules lead to more robust... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper considers the problem of metalearning in a multiagent environment under the assumptions that the learning agents policy evolves over time as a function of the other agents actions the other age... | this paper studies the problem of multiagent metalearning it can be viewed as extending alshedivat et al 2018 by incorporating the dynamics of other agents the reviewers praised clear writing and theory there were two main concerns the first concern is the novelty when compared to alshedivat et al 2018 the second conce... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this manuscript proposes a new graph neural net gnn method to learn the dynamics of a spatiotemporal pdedriven dynamical system directly from data this manuscript proposes a new graph neural net gnn method ... | this paper introduces a graph neural network gnn based on the finite element method fem for learning partial differential equations from data the proposed finite element network is based on a piecewise linear function approximation and a message passing gnn for dynamics prediction the authors also propose a method to i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
strengths 1 the experiments are extensive and clearly demonstrate the merits as compared to prior benchmarks for off policy rl 2 the contextual discussion is clear wellmotivates the proposed approach and... | the paper is about an approach that combines successor representation with marginalized importance sampling although the reviewers acknowledge that the paper has some merits interesting idea good discussion extensive experimental analysis and the authors responses have solved most of the reviewers issues the paper is b... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors assess the quality and reliability of open ended systems such as gpt3 and codex from the perspective of cognitive biases the authors primarily focus on the application of code gene... | this paper aims to qualitatively categorize errors by large language models for generation tasks ie summarization program synthesis drawing inspiration from 4 human cognitive biases framing effect anchoring bias availability heuristic and attribute substitution the work includes case studies on open ais codex and gpt3 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper evaluates two moving average strategies for gan optimization since exact theoretical analysis is difficult for this case some informal consideration are provided for explanation of performance gai... | this work analyses the use of parameter averaging in gans it can mainly be seen as an empirical study while also a convergence analysis of ema for a concrete example provides some minor theoretical result but experimental results are very convincing and could promote using parameter averaging in the gan community there... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors proposed a normalization method that learns multimodal distribution in the feature space the number of modes k is set as a hyperparameter each sample xn is distributed softly assigned to modes b... | the paper develops an original extensiongeneralization of standard batchnorm and group norm by employing a mixtureofexperts to separate incoming data into several modes and separately normalizing each mode the paper is well written and technically correct and the method yields consistent accuracy improvements over basi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary the authors propose latephase weights a method of updating the weights near the end of training via a splitting and ensembling mechanism they analyze the benefits in the noisy quadratic setting th... | this paper proposes to learn an ensemble of weights given a set of base weights from some point late in normal training the authors apply this approach to a number of configurations and find modest performance improvements for normal test settings and larger improvements for out of distribution settings while reviewers... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper shows a latentplanning rl model to learn control policies directly from pixels to learn a better representation it uses recurrent model contrastive learning approach which enhances the representa... | meta review of robust robotic control from pixels using contrastive recurrent statespace models this work investigates a recurrent latent space planning model for robotic control from pixels but unlike some previous work such as dreamer and rnnvaebased world models they use a simpler contrastive loss for nextobservati... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on understanding the tail behavior of normalizing flows through a mathematical and statistical way motivated by jaini et al 2020s work on learning longtailed distribution via triangular f... | this paper addresses the performance of normalizing flows in the tail of the distribution it does this by controlling tail properties in the marginals of the highdimensional distribution the paper is wellmotivated and the key theoretical insight has merit however the general perspective and methodology appears to be in... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this is a very interesting paper and it suggests a novel way to think of implicit regularization the power of this paper lies in its simplicity and its inspiring that such almosteasy arguments could be made... | the authors give a characterization of stochastic mirror descent smd as a conservation law 17 in terms of the bregman divergence of the loss the identity allows the authors to show that smd converges to the optimal solution of a particular minimax filtering problem in the special overparametrized linear case when smd i... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper the authors developed a probabilistic programming framework for stein variational gradient descent and its variants using difference kinds of kernels ie nonlinear kernels or matrix kernels sim... | all reviewers have carefully reviewed and discussed this paper they are in consensus that this manuscript merits a strong revision i encourage the authors to take these experts thoughts into consideration in revising their manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors aim to reduce the gap between clean accuracy without adversarial training and with adversarial training to improve the robustnessaccuracy tradeoff the authors introduce helperbased adversarial t... | the authors propose a simple addition to adversarial training methods that improves model performance without significantly changing the complexity of training the initial reviews raised some questions about whether experiments were sufficiently extensive but these issues were resolved during the rebuttal and discussi... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a new algorithm for sentence segmentation which can be applied to various sequential tagging problems the motivation and the description of the algorithm are clearly given and the propose... | this paper is concerned with sequence segmentation the authors introduce a framework which they call lexical unit analysis a neural network is used to score spans and then dynamic programming is used to find the best scoring overall segmentation the authors present extensive experiments on various chinese nlp tasks ob... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors define the task of solving a family of differential equations as a task of gradientbased metalearning generalizing the gradientbased model agnostic metalearning to problems with differentiable s... | the authors define the task of solving a family of differential equations as a task of gradientbased metalearning generalizing the gradientbased model agnostic metalearning to problems with differentiable solvers according to the reviews there were some concerns regarding the practical value of the paper for example 1 ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors propose a recourse methodology to deal with model biasesfairness issues in producing equitable outcomes for all users classes the paper addresses an important issue of dealing with model bias ... | this paper makes an interesting contribution to the literature on algorithmic recourse more specifically while existing literature assumes that there is a global cost function that is applicable to all the users this work addresses this limitation and models user specific cost functions while the premise of this paper ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an effective deliberated domain bridging ddb for domain adaptive semantic segmentation dass to this end it takes advantage of two data mixing techniques regionlevel mix and classlevel mi... | summary this paper proposes an effective deliberated domain bridging ddb approach for domain adaptive semantic segmentation dass it leverages two data mixing techniques regionlevel mix and classlevel mix to train two corresponding teacher models which then guide one student model on the target domain it is evaluated on... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper investigates reinforcement learning with a perturbed reward signal in particular the paper proposes a particular model for adding noise to the reward function via a confusion matrix which offers... | this paper studies rl with perturbed rewards where a technical challenge is to revert the perturbation process so that the right policy is learned some experiments are used to support the algorithm which involves learning the reward perturbation process the confusion matrix using existing techniques from the supervise... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies structural fairness on graph contrastive learning gcl the study is motivated by the finding that gcl is fairer to low degree nodes than gcn based on that the authors first present theoret... | this paper identifies a fairness problem in graph contrastive learning gcl ie gcn often performs bad for lowdegree nodes the key to solve this problem is the observation that gcl can offer more fair representation for both low and high degree nodes authors also support their claims with theoretical analysis all revie... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper claims that in the context of multiclass image classification using neural networks in the final classification layer if we use randomly initialized parameters with normalization without any trai... | the reviewers are in consensus that this paper is not ready for publication cited concerns include simple interesting ideas but need to be carefully analyzed empirically contextualized other similar studies exist identifying convincing empirical evidences etc the ac recommends reject |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper deals with how to estimate the noise transition matrix under a multilabel setup like a singlelabel setup the authors attempted to make an idea without using anchor points for matrix estimation th... | estimating the noisy transition matrix for handling noisy labels with multilabels good experimental work illustrating estimating transition matrices reviewers liked theory and the writeup paper has had improved citations and writing there was some discussion about the assumptions nuances of this should be address... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents a novel algorithm for approximating posterior distributions via weighted subsets of the data the proposed algorithm samples points uniformly at random and then computes the weights using... | the paper has genereated unanimous enthusiasm and we are happy to recommend acceptance please make sure that all comments in the reviewsdiscussion threads are taken into account in the final version of the manuscript |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studied selfsupervised learning a semantic shift problem in the aggressive augmentations of selfsupervised learning is considered this paper inherits the memorization effect in tackling noisy lab... | this paper aims to improve ssl pretraining by adjusting the strength of augmentations applied at different points in training providing a large number of aggressive augmentations early in training with this rate decreasing over time to prevent the model from overfitting to noisy examples using this approach the authors... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work aims to study the characteristics of the class manifolds provided by a multiclass classifier in particular the main goal is to determine the effective dimensionality of these manifolds for the cas... | this paper aims to study the dimension of the class manifolds cm which are defined as the region classified as certain classes by a neural network the authors develop a method to measure the dimension of cm by generating random linear subspaces and compute the intersection of the linear subspace with cm all reviewers a... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors present isagrasp a method for performing dexterous grasps on arbitrary objects using a pretrained network from a large dataset augmented by a generative model which outputs corresponding grasp p... | all the reviewers acknowledge somehow the noveltyoriginality of the paper but have all questioned the proposed approach in terms of baselines and fair comparisons eg ppo graspit in the phasse of rebuttal the authors have significantly reinforced the comparison of some wellknown baselines suggested by the reviewers as ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
i was searching for relevant work but found an arxiv paper that is very similar and being reviewed under neurocomputing journal httpsarxivorgabs191106475 this paper is poorly written and not well organized... | first of all this paper does not follow the midl template with missing the abstract section major concerns from the reviewers lie in the unclear presentation of results and large overlapping with an arxiv paper nevertheless i think that taking into account the structural dependencies of labels is interesting |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the novelty of the network structure is marginal the decomposition way of feature is very common in computer vision just utilizing the latent vector of the encoder with only the comparator loss to decompose... | this paper is overall well written and clearly presented the problem of ordered data clustering is relevant and the proposed method is effective during the discussion all reviewers agree with the strength of this paper and share the positive impression the authors successfully addressed reviewers concerns by the caref... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors formulate a general framework that unifies inference actionperception control and several other tasks the framework is based on minimizing the kl divergence between a parameterized actual distri... | the paper presents an kldivergence minimisation approach to the actionperception loop and thus presents a unifying view on concepts such as empowerment entropybased rl optimal control etc the paper does two things here it serves as a survey paper but on top of that puts these in a unifying theory while the direct mer... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper focuses on improving the adversarial robustness of prefix tuning li et al 2021 which is a recent parameterefficient tuning method specifically the paper proposes to add extra batchlevel prefixes ... | this paper tackles a relatively novel problem that is the result of recent work on prefix tuning specifically the need to be robust to adversarial perturbation in the context of prefix tuning and they show a method for achieving this without requiring more storage and obtain good results there were some clarity issue... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper studies the problem of graph generation and proposes a new model using both micro and macro level supervision information in graphvae architecture fitting adjacency matrix is the micro supervisio... | this paper proposes a new generative model for the generation of graphs different from most of existing approaches the proposed method considers both node and graph level properties to capture highorder connectivity and overcome sparsity of any observed graph the writing is general clear and the results are convincing ... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the authors study a prevalent medical problem where the treatment aims to keep a physiological variable in a safe range and preferably close to a target level they propose escada a multiarmed bandit algorit... | i have read all comments and responses carefully the reviewers recognized that the problem was a challenging one and that the paper provides both practical and novel tools and theoretical analysis however the reviewers pointed to the lack of numerical studies in the paper for example more details about the human clini... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
summary they investigated the effectiveness of selfsupervised learning ssl for one class classification occ here is what i think are contributions relative to existing literature empirically improved a... | this paper investigates the oneclass classification problem proposing to learn a selfsupervised representation and a distributionaugmented contrastive learning method thorough results and analysis show that the method is effective and backs up their claims in terms of the underlying mechanism for why it works in genera... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
in this paper they introduce a new method to optimize opauc and tpauc after presenting its derivation they provide an implementation with sgd and analyze its convergence rate and generalization finally they... | the paper presented a novel reformulation of maximzing pauc in an asymptotically unbiased and instancewise manner based on this formulation the authors presented an efficient stochastic minmax algorithm for opauc and tpauc maximization convergence and generalization analysis were conducted the concerns and questions... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper proposes a method to use clip for ordinal regression using a combination of soft labels and prefix tuning with an interpolation scheme added to enforce order between the learnt prompts strengths ... | the paper proposes a languagepowered model for ordinal regression tasks based on clip language prototypes are constructed from sentences with rank categories via the clip paper encoder and then optimizing the clip model by language prototype and image feature matching to further boost the ordinality this paper introduc... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this work concerns the asymptotic behaviours of gaussiansmoothed 2wasserstein distance in particular the authors provide bounds on the difference between wasserstein distances of a pair of discrete measures... | all reviewers are in agreement that the main factors in particular the results and their presentation are above the bar for neurips no significant concerns remain following the author response and the discussion period i encourage the authors to carefully take into account all of the minor comments when preparing the... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
the paper surveys recent offline rl algorithms and seeks to analyze different factors contributing to their performance novel evaluation protocols are designed to analyze their representation and behavior b... | the main strengths of this paper are that 1 it provides some interesting analysis that leads to some somewhat surprising findings and 2 it presents and evaluates some new technical algorithmic ideas based on this analysis that lead to improved performance after the author discussion the main weaknesses is that the new... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper proposes an algorithm for offpolicy reinforcement learning using the hellinger distance between the sampling policy and optimized policy as a constraint the motivation for the proposed method is ... | the reviewer concerns generally centered around the novelty of replacing the distance metric for a policy constraint while the authors clarified many of the reviewer concerns and added some additional comparisons in the end it was not clear why the proposed approach was interesting while it is true that this particular... |
Below is given review of a research paper from cnoference journal. Please write a summary the review.
### Review:
this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the ... | this paper presents the nethack learning dataset nld which has 3 parts i 15 million human trajectories recorded from the nao public nethack server ii 100000 trajectories from the symbolic bot winner of the nethack challenge 2021 iii code for users to apply these trajectories in a compressed format to demonstrate the u... |
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