Aleatoric Uncertainty (1) Bayesian Optimization (1) CNN (1) Calibration (1) Ensembles (2) Epistemic Uncertainty (2) Interpretability (1) Loss (1) MC Dropout (1) Model Uncertainty (1) Regression (1) Reinforcement Learning (1) Robustness (1) Trajectory (1) Transformers (1) Uncertainty (1)

 Aleatoric Uncertainty (1)

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

 Bayesian Optimization (1)

NOMU - Neural Optimization-based Model Uncertainty

 CNN (1)

An Impartial Take to the CNN vs Transformer Robustness Contest

 Calibration (1)

An Impartial Take to the CNN vs Transformer Robustness Contest

 Ensembles (2)

Deep Ensembles Work, But Are They Necessary?
Masksembles for Uncertainty Estimation

 Epistemic Uncertainty (2)

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

 Interpretability (1)

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

 Loss (1)

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation

 MC Dropout (1)

Masksembles for Uncertainty Estimation

 Model Uncertainty (1)

NOMU - Neural Optimization-based Model Uncertainty

 Regression (1)

NOMU - Neural Optimization-based Model Uncertainty

 Reinforcement Learning (1)

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

 Robustness (1)

An Impartial Take to the CNN vs Transformer Robustness Contest

 Trajectory (1)

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

 Transformers (1)

An Impartial Take to the CNN vs Transformer Robustness Contest

 Uncertainty (1)

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction