EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning

arXiv:2604.16579 · cs.LG, cs.AI · Submitted 2026-04-17 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-04-17

Updated: 2026-09-15

Code: https://github.com/snakers4/silero-vad

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Affective Computing — 23× in this paper · explained in 1 episode
• Epistemic Uncertainty — 17× in this paper · explained in 10 episodes
• Feature Extraction — 14× in this paper · explained in 2 episodes
• Transformer — 14× in this paper · explained in 2 episodes
• Calibration — 13× in this paper · explained in 7 episodes
• Disentangled Evidential Learning — 12× in this paper
• Accuracy — 8× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• University of Science and Technology of China — 7× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Redundancy — 6× in this paper · explained in 2 episodes
• Representation Learning — 6× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Multimodal Fusion — 5× in this paper · explained in 3 episodes
• Uncertainty Quantification — 5× in this paper · explained in 8 episodes
• Entanglement — 4× in this paper · explained in 4 episodes
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• Conformal Prediction — 3× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Deep Evidential Regression — 3× in this paper
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 2× in this paper · explained in 5 episodes
• Frequencyaware Feature Extraction — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Wavelet Transform — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aleatoric Uncertainty (AU) — 1× in this paper · explained in 1 episode
• Central Moment Discrepancy — 1× in this paper
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Inverse Discrete Wavelet Transform — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• L-level Discrete Wavelet Transform — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Mean Prediction Interval Width — 1× in this paper
• Memory Augmentation — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Negative Log-Likelihood — 1× in this paper
• Prediction Interval Coverage Probability — 1× in this paper
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Root Mean Square Error — 1× in this paper
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

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