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Poster
Wed 14:00 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Quanqi Hu · YONGJIAN ZHONG · Tianbao Yang
Poster
Thu 9:00 Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo · SangWoo Cho · Honguk Woo
Workshop
The Importance of Temperature in Multi-Task Optimization
David Mueller · Mark Dredze · Nicholas Andrews
Workshop
Conditional Contrastive Networks
Emily Mu · John Guttag
Poster
Wed 9:00 AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang · Xiao Liu · Hui Guan
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
Multi-dataset Training of Transformers for Robust Action Recognition
Junwei Liang · Enwei Zhang · Jun Zhang · Chunhua Shen
Workshop
Sat 11:50 Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
Vitali Petsiuk · Alexander E. Siemenn · Saisamrit Surbehera · Qi Qi Chin · Keith Tyser · Gregory Hunter · Arvind Raghavan · Yann Hicke · Bryan Plummer · Ori Kerret · Tonio Buonassisi · Kate Saenko · Armando Solar-Lezama · Iddo Drori
Poster
Wed 9:00 A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
Wonseok Hwang · Dongjun Lee · Kyoungyeon Cho · Hanuhl Lee · Minjoon Seo
Workshop
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Yuxuan Li · James McClelland
Workshop
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations
Ashwani Bhat · Ashutosh Modi
Poster
Thu 14:00 Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Yen-Cheng Liu · CHIH-YAO MA · Junjiao Tian · Zijian He · Zsolt Kira