52 citations · 121 across the 9 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning for Playing 2.5D Fighting Games
Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin +2
Deep reinforcement learning has shown its success in game playing. However, 2.5D fighting games would be a challenging task to handle due to ambiguity in visual appearances like he…
Learning Deep Latent Spaces for Multi-Label Classification
Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko +1
Multi-label classification is a practical yet challenging task in machine learning related fields, since it requires the prediction of more than one label category for each input i…
Generative-Discriminative Variational Model for Visual Recognition
Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang
The paradigm shift from shallow classifiers with hand-crafted features to end-to-end trainable deep learning models has shown significant improvements on supervised learning tasks.…