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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
Discriminative Complementary-Label Learning with Weighted Loss
In Supervised Learning 4
Yi Gao · Min-Ling Zhang
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
In Supervised Learning 4
Krishnateja Killamsetty · Durga S · Ganesh Ramakrishnan · Abir De · Rishabh Iyer
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
In Supervised Learning 4
L. Elisa Celis · Lingxiao Huang · Vijay Keswani · Nisheeth K. Vishnoi
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
In Supervised Learning 4
Boyang Liu · Mengying Sun · Ding Wang · Pang-Ning Tan · Jiayu Zhou
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
Trees with Attention for Set Prediction Tasks
In Supervised Learning 4
Roy Hirsch · Ran Gilad-Bachrach
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
Model Performance Scaling with Multiple Data Sources
In Supervised Learning 4
Tatsunori Hashimoto
[ Paper ]
Spotlight
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Solving Inverse Problems with a Flow-based Noise Model
In Supervised Learning 4
Jay Whang · Qi Lei · Alexandros Dimakis
[ Paper ]
Q&A
Thu Jul 22 10:50 AM -- 10:55 AM (KST)
Q&A
In Supervised Learning 4