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Oral
Fri Jun 14 01:00 AM -- 01:20 AM (KST) @ Room 103
Geometric Losses for Distributional Learning
In Supervised and Transfer Learning
Arthur Mensch · Mathieu Blondel · Gabriel Peyré
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:20 AM -- 01:25 AM (KST) @ Room 103
Classification from Positive, Unlabeled and Biased Negative Data
In Supervised and Transfer Learning
Yu-Guan Hsieh · Gang Niu · Masashi Sugiyama
Oral
Fri Jun 14 01:25 AM -- 01:30 AM (KST) @ Room 103
Complementary-Label Learning for Arbitrary Losses and Models
In Supervised and Transfer Learning
Takashi Ishida · Gang Niu · Aditya Menon · Masashi Sugiyama
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:30 AM -- 01:35 AM (KST) @ Room 103
Learning to Infer Program Sketches
In Supervised and Transfer Learning
Maxwell Nye · Luke Hewitt · Josh Tenenbaum · Armando Solar-Lezama
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:35 AM -- 01:40 AM (KST) @ Room 103
Hierarchically Structured Meta-learning
In Supervised and Transfer Learning
Huaxiu Yao · Ying WEI · Junzhou Huang · Zhenhui (Jessie) Li
[ Slides]  [ Oral] 
Oral
Fri Jun 14 01:40 AM -- 02:00 AM (KST) @ Room 103
Bridging Theory and Algorithm for Domain Adaptation
In Supervised and Transfer Learning
Yuchen Zhang · Tianle Liu · Mingsheng Long · Michael Jordan
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:00 AM -- 02:05 AM (KST) @ Room 103
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
In Supervised and Transfer Learning
Shani Gamrian · Yoav Goldberg
[ Slides]  [ Oral] 
Oral
Fri Jun 14 02:05 AM -- 02:10 AM (KST) @ Room 103
Learning What and Where to Transfer
In Supervised and Transfer Learning
Yunhun Jang · Hankook Lee · Sung Ju Hwang · Jinwoo Shin
[ Slides]  [ Oral]