Poster

Thu 9:00

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo · SangWoo Cho · Honguk Woo

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

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

Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations
Ashwani Bhat · Ashutosh Modi

Workshop

Conditional Contrastive Networks
Emily Mu · John Guttag

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

Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Yuxuan Li · James McClelland

Poster

Thu 9:00

Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen · Zehao Xiao · Xiantong Zhen · Cees Snoek · Marcel Worring

Workshop

Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine

Workshop

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Heitor Guimarães · Arthur Pimentel · Anderson R. Avila · Mehdi Rezaghoizadeh · Tiago H Falk

Workshop

Fri 12:50

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Heitor Guimarães · Arthur Pimentel · Anderson R. Avila · Mehdi Rezaghoizadeh · Tiago H Falk