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Vocal Bursts Intensity Prediction

predict the intensity of 10 categorical emotions

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TitleStatusHype
Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning ProblemsCode0
Projective Inference in High-dimensional Problems: Prediction and Feature SelectionCode0
A Nonparametric Approach to High-dimensional k-sample Comparison Problems—0
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation—0
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAECode0
A Learning Framework for High Precision Industrial Assembly—0
High-Temperature Structure Detection in Ferromagnets—0
High Performance Zero-Memory Overhead Direct Convolutions—0
The unreasonable effectiveness of small neural ensembles in high-dimensional brain—0
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender SystemCode0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points—0
Real-Time Nonparametric Anomaly Detection in High-Dimensional SettingsCode0
High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training—0
Visualization of High-dimensional Scalar Functions Using Principal ParameterizationsCode0
Efficient Statistics, in High Dimensions, from Truncated Samples—0
Benefits of Positioning-Aided Communication Technology in High-Frequency Industrial IoT—0
Approximation and Estimation for High-Dimensional Deep Learning Networks—0
Operations Guided Neural Networks for High Fidelity Data-To-Text GenerationCode0
Selective Refinement Network for High Performance Face DetectionCode0
Connecting Image Denoising and High-Level Vision Tasks via Deep LearningCode0
Pore detection in high-resolution fingerprint images using Deep Residual Network—0
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data—0
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading—0
Faster Balanced Clusterings in High Dimension—0
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