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2021 Çѱ¹ÀΰøÁö´ÉÇÐȸ¤Ó LG AI¿¬±¸¿ø Ãß°èÇмú´ëȸ
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2021
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10:00~11:50
Æ©Å丮¾ó 1
Æ©Å丮¾ó 1-1
Æ©Å丮¾ó 1-2
Æ©Å丮¾ó 1-3
Integrating planning and
learning for robot intelligence
±è¹üÁØ ±³¼ö (KAIST ±èÀçöAI´ëÇпø)
Video classification
& representation learning
ÀÌÁؼ® ±³¼ö (¼¿ï´ëÇб³
µ¥ÀÌÅÍ»çÀ̾𽺴ëÇпø & Google)
Partially labeled data in
computer vision
ÃÖÁ¾¿ø ±³¼ö (Áß¾Ó´ëÇб³ AI´ëÇпø)
11:50~13:00
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13:00~14:50
Æ©Å丮¾ó 2
Æ©Å丮¾ó 2-1
Æ©Å丮¾ó 2-2
Æ©Å丮¾ó 2-3
Multi-modal understanding
for electronic health records
ÃÖÀ±Àç ±³¼ö (KAIST ±èÀçöAI´ëÇпø)
Deep learning inspired by
differential equations
¹Ú³ë¼º ±³¼ö (¿¬¼¼´ë ÀΰøÁö´É´ëÇпø)
Document retrieval
¼¹ÎÁØ ±³¼ö (KAIST ±èÀçöAI´ëÇпø)
14:50~16:00
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16:00~17:00
LG Sponsored
Distinguished Talk
Deep Gaussian Processes: A Motivation and Introduction
Prof. Neil Lawrence (Univ. of Cambridge)
17:00~17:10
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17:10~18:00
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AI Challenges for a Better World
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18:00~18:15
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08:30~09:00
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LG ÀüÀÚ CTO »çÀå (Science Park ´ëÇ¥) ¹ÚÀÏÆò
KAIST ÃÑÀå À̱¤Çü
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09:00~09:50
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The Anticipated Role and Future of Artificial Intelligence
±èâ°æ ±³¼ö (ÇѾç´ëÇб³ °úÇбâ¼úÁ¤Ã¥Çаú / Àü ±³À°°úÇбâ¼úºÎ Â÷°ü)
09:50~10:40
LG Plenary Talk1
Learning Representations and Models of the World for Solving Complex Tasks
ÀÌÈ«¶ô
Chief Scientist of AI / ±³¼ö
(LG AI¿¬±¸¿ø / Univ. of Michigan)
10:40~11:00
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11:00~11:20
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11:20~12:20
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(±¹Á¦ÇÐȸ)¿ì¼ö³í¹®¼¼¼Ç1 ML/AI
(±¹Á¦ÇÐȸ)¿ì¼ö³í¹®¼¼¼Ç2 CV
12:20~13:30
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13:30~14:20
LG Plenary Talk2
Self-tuning network: Amortizing the Hypergradient Computation for Hyperparameter Optimization
Prof. Roger Grosse (Univ. of Toronto)
14:20~14:40
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14:40~15:40
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±âȹ¼¼¼Ç 1-1
±âȹ¼¼¼Ç 1-2
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ETRI ¼¼¼Ç
15:40~16:00
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16:00~17:00
±âȹ¼¼¼Ç 2
±âȹ¼¼¼Ç 2-1
±âȹ¼¼¼Ç 2-2
±âȹ¼¼¼Ç 2-3
±âȹ¼¼¼Ç 2-4
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Invited Talk
LG¼¼¼Ç2
(À̳ëÅØ, À¯Ç÷¯½º, CNS)
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17:00~17:10
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17:10~18:00
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LG ¼¼¼Ç3 (LG AI¿¬±¸¿ø)
2021
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