|
Competition
|
Tue 13:35
|
Modeling sensorimotor circuits with task-driven and reinforcement learning
|
|
|
Poster
|
Wed 9:00
|
Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Zheng Dong · Ke Xu · Ziheng Duan · Hujun Bao · Weiwei Xu · Rynson Lau
|
|
|
Workshop
|
Fri 9:45
|
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine
|
|
|
Workshop
|
|
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin · Behrooz Ghorbani · Dami Choi · Ankush Garg · Orhan Firat · Justin Gilmer
|
|
|
Poster
|
|
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye · Adrian G. Bors
|
|
|
Workshop
|
|
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations
Ashwani Bhat · Ashutosh Modi
|
|
|
Poster
|
|
Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
Quanliang Wu · Huajun Liu
|
|
|
Workshop
|
|
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
Grace Zhang · Ayush Jain · Injune Hwang · Shao-Hua Sun · Joseph Lim
|
|
|
Workshop
|
|
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks
Albert Yu · Raymond Mooney
|
|
|
Workshop
|
Fri 9:30
|
Continual Learning on Auxiliary tasks via Replayed Experiences: CLARE
Bohdan Naida · Addison Weatherhead · Sana Tonekaboni · Anna Goldenberg
|
|
|
Poster
|
Thu 14:00
|
TUSK: Task-Agnostic Unsupervised Keypoints
Yuhe Jin · Weiwei Sun · Jan Hosang · Eduard Trulls · Kwang Moo Yi
|
|
|
Workshop
|
|
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine
|
|
