Vocal Bursts Valence Prediction
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Benchmarks
HUME-VB
Most implemented
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
PacGAN: The power of two samples in generative adversarial networks
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Two-Stream Convolutional Networks for Action Recognition in Videos
Neur2SP: Neural Two-Stage Stochastic Programming
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Papers
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+4