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