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Search All 2022 Events
283 Results
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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
Fri 12:50
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Heitor GuimarĂ£es · Arthur Pimentel · Anderson R. Avila · Mehdi Rezaghoizadeh · Tiago H Falk
Workshop
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Heitor GuimarĂ£es · Arthur Pimentel · Anderson R. Avila · Mehdi Rezaghoizadeh · Tiago H Falk
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