[SAIF 2021] Day 2: Live streaming | Samsung   Samsung AI Forum 2021 - Day 2 November 2 (Tue) 09:00AM (KST, UTC+9)   Learn more: http://smsng.co/saif2021_day2   Schedule 00:00 Welcome & Introduction (Sebastian Seung / Corporate President, Samsung Research) 17:37 Keynote “How to augment supervised learning with reasoning” (Leslie Valiant / Professor, Harvard University) 46:09 Panel discussion 1 ([Moderator] Daniel Lee / Corporate EVP, Samsung Research [Panel] Leslie Valiant / Professor, Harvard University [Panel] Joohyung Lee / Corporate VP, Samsung Research [Panel] Efi Tsamoura / Engineer, Samsung Research) 1:20:07 Session 1. The differentiable camera (Felix Heide / Professor, Princeton University) 1:43:51 Session 2. Interpretability for skeptical minds (Been Kim / Research Scientist, Google Brain) 2:08:57 Panel discussion 2 ([Moderator] Daniel Lee / Corporate EVP, Samsung Research [Panel] Felix Heide / Professor, Princeton University [Panel] Been Kim / Research Scientist, Google Brain [Panel] Michael Brown / Principal Engineer, Samsung Research) 3:29:37 Lightning talks 1. Neural image editing (Gleb Sterkin / Samsung AI Center Moscow) 3:35:16 Lightning talks 2. AI and your camera (Michael S. Brown / Samsung AI Center Toronto) 3:40:41 Lightning talks 3. ASAM: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks (Jungmin Kwon, Jeongseop Kim, Hyunseo Park and In Kwon Choi / Samsung Research, Global AI Center) 3:46:16 Lightning talks 4. Representations for robotic manipulation of everyday objects ( lbrahim Volkan Isler / Head of Center, Samsung Research) 3:52:39 Session 3. Understanding matter with deep learning (Max Welling / Distinguished Scientist, Microsoft Research / Research Chair, University of Amsterdam) 4:16:04 Panel discussion 3 ([Moderator] Daniel Lee / Corporate EVP, Samsung Research [Panel] Max Welling / Distinguished Scientist, Microsoft Research / Research Chair, University of Amsterdam [Panel] Gregory Lewis Dudek / Vice President, Samsung Research) 4:37:15 Lightning talks 5. named entity correction for automatic speech recognition (Abhinav Garg / Engineer, Samsung Research) 4:43:15 Lightning talks 6. Training-free neural architecture search (Mohamed Abdelfattah / Staff Engineer, Samsung Research) 4:47:41 Lightning talks 7. Tackling the communication load balancing via transfer deep reinforcement learning (Di Wu / Engineer, Samsung Research) 4:52:58 Closing remarks (Daniel Lee / Corporate EVP, Samsung Research)   For more info, visit our page: Day 1 by SAIT(Samsung Advanced Institute of Technology): http://smsng.co/sait Day 2 by SR(Samsung Research): http://smsng.co/sr