Friday, December 11, 2020
All times are in PST (UTC -8)
Revisiting McCarthy's Advice Taker
Oren Etzioni, Allen Institute for Artificial Intelligence (AI2)
Bridging Textual and Tabular Data: Is Attention All We Need?
Victoria Lin, Salesforce Research
A Shot at Bridging the Knowledge Gap in Reinforcement Learning
Tim Rocktäschel, Facebook AI Research
Reasoning in Knowledge Graphs using Embeddings
Jure Leskovec, Stanford University
Bring Structures and Symbols back to Knowledge Representation
Heng Ji, University of Illinois at Urbana-Champaign
Neuro-Symbolic Visual Concept Learning
Jiajun Wu, Stanford University
|12:50||Poster Session + Chats|
|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.
|15:00||Contributed Talk||Symbolic Plans as High-Level Instructions for Reinforcement Learning (Abridged).
|15:15||Contributed Talk||Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs.
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.