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Poster
Mon 1:00 Trusted Multi-View Classification
Zongbo Han · Changqing Zhang · Huazhu FU · Joey T Zhou
Poster
Thu 17:00 ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Kangkang Lu · Cuong Nguyen · Xun Xu · Kiran Chari · Yu Jing Goh · Chuan-Sheng Foo
Poster
Thu 17:00 Self-supervised Learning from a Multi-view Perspective
Yao-Hung Hubert Tsai · Yue Wu · Ruslan Salakhutdinov · Louis-Philippe Morency
Poster
Tue 1:00 Learning the Pareto Front with Hypernetworks
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik
Workshop
Fri 12:20 Weakly Supervised Multi-task Learning for Concept-based Explainability - Q&A
Poster
Wed 17:00 On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih · Arjun Sawhney · Jovana Kondic · Stefano Ermon · Dorsa Sadigh
Workshop
Fri 12:05 Weakly Supervised Multi-task Learning for Concept-based Explainability
Vladimir Balayan
Workshop
Coordinated Attacks Against Federated Learning: A Multi-Agent Reinforcement Learning Approach
Wen Shen
Poster
Tue 17:00 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang · Beining Han · Tonghan Wang · Heng Dong · Chongjie Zhang
Poster
Wed 1:00 Communication in Multi-Agent Reinforcement Learning: Intention Sharing
WOOJUN KIM · Jongeui Park · Youngchul Sung
Workshop
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Daniele Romanini · Adam Hall · Pavlos Papadopoulos · Tom Titcombe · Abbas Ismail · Tudor Cebere · Robert Sandmann · Robin Roehm · Michael Hoeh
Workshop
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau