Modeling neural dynamics during speech production using a state space variational autoencoder

no code implementations • 13 Jan 2019 • Pengfei Sun, David A. Moses, Edward Chang

Characterizing the neural encoding of behavior remains a challenging task in many research areas due in part to complex and noisy spatiotemporal dynamics of evoked brain activity.

REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis

no code implementations • NeurIPS 2018 • Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Chang

This paper proposes REFUEL, a reinforcement learning method with two techniques: {\em reward shaping} and {\em feature rebuilding}, to improve the performance of online symptom checking for disease diagnosis.

reinforcement-learning Reinforcement Learning (RL)

Network Representation Learning with Rich Text Information

3 code implementations • IJCAI 2015 • Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Chang

Representation learning has shown its effectiveness in many tasks such as image classification and text mining.

General Classification Image Classification +3