Papers Vocal Bursts Valence Prediction
“Vocal Bursts Valence Prediction” 태그가 달린 논문 1,164편 · 필터 해제
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Source-free domain adaptation aims to adapt deep neural networks using only pre-trained source models and target data. However, accessing the source model still has a potential concern about leaking the source data, whic…
Domain AdaptationKnowledge DistillationSource-Free Domain AdaptationVocal Bursts Valence PredictionQuantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms
Classical reinforcement learning (RL) aims to optimize the expected cumulative reward. In this work, we consider the RL setting where the goal is to optimize the quantile of the cumulative reward. We parameterize the pol…
Deep Reinforcement Learningreinforcement-learningReinforcement Learning (RL)Vocal Bursts Valence PredictionProvable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
LASSO regularization is a popular regression tool to enhance the prediction accuracy of statistical models by performing variable selection through the $\ell_1$ penalty, initially formulated for the linear model and its …
regressionVariable SelectionVocal Bursts Valence PredictionTwo-Dimensional Channel Parameter Estimation for IRS-Assisted Networks
This paper proposes a pilot decoupling-based two-dimensional channel parameter estimation method for intelligent reflecting surface (IRS)-assisted networks. We exploit the combined effect of Terahertz sparse propagation …
parameter estimationVocal Bursts Valence PredictionTwo to Five Truths in Non-Negative Matrix Factorization
In this paper, we explore the role of matrix scaling on a matrix of counts when building a topic model using non-negative matrix factorization. We present a scaling inspired by the normalized Laplacian (NL) for graphs th…
Clusteringdocument understandingGraph ClusteringSpectral Graph Clustering+2Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks
The search for emotional biomarkers within the human voice is a challenging research area. Previous studies focused on predicting affective state from speech; this study explores various tasks on affective vocal bursts. …
Automatic Speech RecognitionCultural Vocal Bursts Intensity PredictionSelf-Supervised Learningspeech-recognition+4VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation
We propose a new two-stage pre-training framework for video-to-text generation tasks such as video captioning and video question answering: A generative encoder-decoder model is first jointly pre-trained on massive image…
DecoderQuestion AnsweringText GenerationVideo Captioning+2Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities
We introduce a generic class of dynamic nonlinear heterogeneous parameter models that incorporate individual and time fixed effects in both the intercept and slope. These models are subject to the incidental parameter pr…
Vocal Bursts Valence PredictionThe optimal reinsurance strategy with price-competition between two reinsurers
We study optimal reinsurance in the framework of stochastic game theory, in which there is an insurer and two reinsurers. A Stackelberg model is established to analyze the non-cooperative relationship between the insurer…
Vocal Bursts Valence PredictionLow-Cost Throttle-By-Wire-System Architecture For Two-Wheeler Vehicles
This paper investigates the performance of a lowcost Throttle-by-Wire-System (TbWS) for two-wheeler applications. Mopeds/scooters are still restricted environmentally harmful. Throttle-by-Wire-Systems can contribute to e…
PositionVocal Bursts Valence PredictionBootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity
Nonparametric two-sample testing is a classical problem in inferential statistics. While modern two-sample tests, such as the edge count test and its variants, can handle multivariate and non-Euclidean data, contemporary…
Two-sample testingVocal Bursts Valence PredictionThe tale of two MS MARCO -- and their unfair comparisons
The MS MARCO-passage dataset has been the main large-scale dataset open to the IR community and it has fostered successfully the development of novel neural retrieval models over the years. But, it turns out that two dif…
RetrievalVocal Bursts Valence PredictionTwo-Memory Reinforcement Learning
While deep reinforcement learning has shown important empirical success, it tends to learn relatively slow due to slow propagation of rewards information and slow update of parametric neural networks. Non-parametric epis…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningRepresentation Learning+1Leveraging the two timescale regime to demonstrate convergence of neural networks
We study the training dynamics of shallow neural networks, in a two-timescale regime in which the stepsizes for the inner layer are much smaller than those for the outer layer. In this regime, we prove convergence of the…
Vocal Bursts Valence PredictionATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant, it must understand human actions durin…
Action DetectionAction RecognitionAction UnderstandingVocal Bursts Valence PredictionDesign of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
Hierarchical Federated Learning (HFL) is a distributed machine learning paradigm tailored for multi-tiered computation architectures, which supports massive access of devices' models simultaneously. To enable efficient H…
Federated LearningVocal Bursts Valence PredictionTraining a Two Layer ReLU Network Analytically
Neural networks are usually trained with different variants of gradient descent based optimization algorithms such as stochastic gradient descent or the Adam optimizer. Recent theoretical work states that the critical po…
Vocal Bursts Valence PredictionComplete mathematical characterization of two simple toggle-switch biological systems
Prokaryotic gene expression is dynamic and noisy, and can lead to phenotypic variations. Previous work has shown that the selection of such variation can be modeled through basic reaction networks described by O.D.E. dis…
Vocal Bursts Valence PredictionMaximal Ordinal Two-Factorizations
Given a formal context, an ordinal factor is a subset of its incidence relation that forms a chain in the concept lattice, i.e., a part of the dataset that corresponds to a linear order. To visualize the data in a formal…
RelationVocal Bursts Valence PredictionA Two-Phase Model of Early Atherosclerotic Plaque Development with LDL Toxicity Effects
Atherosclerosis is a chronic inflammatory cardiovascular disease in which fatty plaque is built inside an artery wall. Early atherosclerotic plaque development is typically characterized by inflammatory tissues primarily…
Vocal Bursts Valence Prediction