Jang, Eric
- Categorical Reparameterization with Gumbel-Softmax
2016/11/03 by Eric Jang, Jang, Eric, Shixiang Gu +3 · 407 citations
Computer Science · #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis #Computational Physics and Python Applications
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
2022/04/04 by Ahn, Michael, Anthony Brohan, Noah Brown +84 · 315 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
2018/06/27 by Dmitry Kalashnikov, Kalashnikov, Dmitry, Alex Irpan +19 · 103 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, Corey Lynch, Sermanet, Pierre +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 · 23 citations
Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Network Security and Intrusion Detection
- Multi-Game Decision Transformers
2022/05/30 by Kuang-Huei Lee, Ofir Nachum, Lee, Kuang-Huei +19 · 16 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)
- RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
2020/11/06 by Daniel E. Ho, Ho, Daniel, Kanishka Rao +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, Jang, Eric, Sudheendra Vijayanarasimhan +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
- Sim2Real View Invariant Visual Servoing by Recurrent Control
2017/12/20 by Sadeghi, Fereshteh, Toshev, Alexander, Jang, Eric +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
2019/06/07 by Allan Zhou, Eric Jang, Zhou, Allan +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
- Scalable Multi-Task Imitation Learning with Autonomous Improvement
2020/02/25 by Singh, Avi, Jang, Eric, Irpan, Alexander +5 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
- Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
2020/04/13 by Xiao, Ted, Jang, Eric, Kalashnikov, Dmitry +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.9 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
- Meta-Learning Requires Meta-Augmentation
2020/07/10 by Rajendran, Janarthanan, Irpan, Alex, Jang, Eric · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)