Search
Results
-
Facial Emotion Recognition with Noisy Multi-task Annotations
(2021)2021 IEEE Winter Conference on Applications of Computer Vision (WACV)Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical and dimensional ones. To reduce human labelling effort on multi-task labels, we introduce a new problem of facial emotion recognition with noisy multi-task annotations. For this new problem, we suggest a formulation from the point of joint distribution match ...Conference Paper -
Neural Architecture Search as Sparse Supernet
(2021)Proceedings of the AAAI Conference on Artificial IntelligenceThis paper aims at enlarging the problem of Neural Architecture Search (NAS) from Single-Path and Multi-Path Search to automated Mixed-Path Search. In particular, we model the NAS problem as a sparse supernet using a new continuous architecture representation with a mixture of sparsity constraints. The sparse supernet enables us to automatically achieve sparsely-mixed paths upon a compact set of nodes. To optimize the proposed sparse ...Conference Paper