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Workshop
Fairness-Aware Data Valuation for Supervised Learning
José Pombal · Pedro Saleiro · Mario Figueiredo · Pedro Bizarro
Poster
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
Fengda Zhang · Kun Kuang · Long Chen · Yuxuan Liu · Chao Wu · Jun Xiao
Workshop
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
Ram Ramrakhya · Dhruv Batra · Erik Wijmans · Abhishek Das
Poster
Wed 7:30 Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth · Mark Ibrahim · Zeynep Akata · Pascal Vincent · Diane Bouchacourt
Poster
Mon 2:30 Contextual bandits with concave rewards, and an application to fair ranking
Virginie Do · Elvis Dohmatob · Matteo Pirotta · Alessandro Lazaric · Nicolas Usunier
Poster
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong · Hao He · Zhaolin Ren · Na Li · Quanzheng Li
Oral
Mon 7:00 BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot · Amy Zhang · Dhruv Batra · Zsolt Kira · Franziska Meier
Mon 3:30 Ari Morcos
Ari Morcos
Poster
Wed 2:30 Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang · Aaron Courville · Yoshua Bengio · Qinqing Zheng · Amy Zhang · Ricky T. Q. Chen
Workshop
Thu 4:00 SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Kamal · Kushal Tirumala · Daniel Simig · Surya Ganguli · Ari Morcos