Schedule
Friday, December 11, 2020
All times are in PST (UTC -8)
| 08:40 | Poster Teasers | |
| 09:00 | Opening | |
| Session 1 | ||
| 09:05 | Invited Talk |
Revisiting McCarthy's Advice Taker Oren Etzioni, Allen Institute for Artificial Intelligence (AI2) |
| 09:35 | Invited Talk |
Bridging Textual and Tabular Data: Is Attention All We Need? Victoria Lin, Salesforce Research |
| 10:05 | Invited Talk |
A Shot at Bridging the Knowledge Gap in Reinforcement Learning Tim Rocktäschel, Facebook AI Research |
| 10:35 | QA | |
| 10:50 | Break | |
| Session 2 | ||
| 11:05 | Invited Talk |
Reasoning in Knowledge Graphs using Embeddings Jure Leskovec, Stanford University |
| 11:35 | Invited Talk |
Bring Structures and Symbols back to Knowledge Representation Heng Ji, University of Illinois at Urbana-Champaign |
| 12:05 | Invited Talk |
Neuro-Symbolic Visual Concept Learning Jiajun Wu, Stanford University |
| 12:35 | QA | |
| 12:50 | Poster Session + Chats | |
| Session 3 | ||
| 14:00 | Discussion Panel | How a historical perspective on artificial and human intelligence can influence AI going ahead. Yoshua Bengio, Daniel Kahneman, Henry Kautz, Luis Lamb, Gary Marcus, Francesca Rossi. |
| 14:45 | Contributed Talk | Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. Mrigank Raman |
| 15:00 | Contributed Talk | Symbolic Plans as High-Level Instructions for Reinforcement Learning (Abridged). Leon Illanes |
| 15:15 | Contributed Talk | Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. Hongyu Ren |
| 15:30 | QA | |
| 15:45 | Break | |
| Session 4 | ||
| 16:00 | Invited Talk |
Deep Learning of Conscious Processing Over Verbalizable Knowledge Yoshua Bengio, Mila, Université de Montréal |
| 16:35 | Discussion Panel | Where and how can KRR benefit ML, and what should be explored? Oren Etzioni, Heng Ji, Victoria Lin, Jiajun Wu, Subbarao Kambhampati. |
| 17:20 | Closing Remarks |