3 accepted papers
Gradient smoothing is an efficient approach to reducing noise in gradient-based model explanation methods. SmoothGrad adds Gaussian noise to mitigate much of this noise. However, the crucial hyperparameter in this method, the variance $\sigma$ of the Gaussian noise, is often set manually or determin…
The reality gap between simulation and real-world dynamics critically hinders the deployment of robust humanoid locomotion policies, as policies trained in a single simulator often overfit to domain-specific dynamics. To address this challenge, we propose CROSSER (Inverse Dynamics-Guided Cross-Simul
Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause extraction (CE). Therefore EE and CE are frequently utilized as auxiliary tasks for better feature learning, modeled via mul…