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Home » Stanford AI Lab Papers and Talks at AAAI 2022

Stanford AI Lab Papers and Talks at AAAI 2022

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.

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