The 36th AAAI Conference on Artificial Intelligence (AAAI 2022) is being hosted virtually from February 22th - March 1st. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford.
List of Accepted Papers
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
Authors: Erdem Bıyık, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
Contact: ebiyik@stanford.edu
Links: Paper | Video | 2nd Video | Website
Keywords: bandits, multi-agent systems, collaboration, human-robot interaction, partner-awareness
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
Authors: Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
Contact: tongm@stanford.edu
Links: Paper
Keywords: reinforcement learning, constraints
IS-Count: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling
Authors: Chenlin Meng*, Enci Liu*, Willie Neiswanger, Jiaming Song, Marshall Burke, David Lobell, Stefano Ermon
Contact: jesslec@stanford.edu
Award nominations: Oral presentation
Links: Paper | Blog Post | Website
Keywords: remote sensing, sampling
PantheonRL
Authors: Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh
Contact: bidiptas@stanford.edu
Links: Paper | Video | Website
Keywords: multiagent reinforcement learning; software package; web user interface; adaptive marl; dynamic training interactions
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Authors: Yibing Du, Antoine Bosselut, Christopher D Manning
Contact: antoineb@cs.stanford.edu
Links: Paper
Keywords: fact checking, fact verification, disinformation, synthetic text
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Authors: Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
Contact: cody@cs.stanford.edu
Links: Paper
Keywords: active learning, computer vision, active search, large-scale, data-centric ai
We look forward to seeing you at AAAI 2022.