Eric Jang
- Categorical Reparameterization with Gumbel-Softmax
2016/11/03 by Eric Jang, Jang, Eric, Shixiang Gu +3 · 423 citations
Computer Science · #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis #Computational Physics and Python Applications
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
2018/06/27 by Dmitry Kalashnikov, Kalashnikov, Dmitry, Alex Irpan +19 · 107 citations
Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Muscle activation and electromyography studies #Robot Manipulation and Learning #Robotics (cs.RO) #Soft Robotics and Applications
- Time-Contrastive Networks: Self-Supervised Learning from Video
2017/04/23 by Pierre Sermanet, Sermanet, Pierre, Corey Lynch +11 · 49 citations
Computer Science · Engineering · #Human Pose and Action Recognition #Advanced Vision and Imaging #Robot Manipulation and Learning
- WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
2018/10/02 by Hyunsun Choi, Choi, Hyunsun, Eric Jang +3 · 24 citations
Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection
- RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
2020/11/06 by Daniel E. Ho, Kanishka Rao, Ho, Daniel +9 · 11 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Advanced Vision and Imaging #Domain Adaptation and Few-Shot Learning
- End-to-End Learning of Semantic Grasping
2017/07/06 by Eric Jang, Sudheendra Vijayanarasimhan, Jang, Eric +7 · 1 voice · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #cs.LG #cs.RO #stat.ML
- Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
2019/06/07 by Allan Zhou, Zhou, Allan, Eric Jang +17 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics