Wednesday 20 May 2015, 1690 BBB

A special symposium to present the latest research to come out of the Michigan AI Lab, and celebrate our research accomplishments. The program will comprise presentations by AI Lab grad students of research results presented at conferences over this academic year.

All are welcome to attend.  So that we can get an accurate headcount for food planning, please RSVP by clicking here.

Schedule Overview

8:30  Refreshments available
8:50  Welcome (Wellman)
9:00  Session 1 (6 papers)
10:18  break
10:35  Recognition of student achievements (Baveja)
10:45  Session 2 (6 papers)
12:03  break to pick up and start lunch
12:20  Session 3 (3 papers)
12:59  (program complete)

Detailed List of Presentations, by Session

** indicates presenter

Session 1

AI-STATS (Apr 14 / Reykjavik)

International Conference on Artificial Intelligence and Statistics

  • Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems
    • **Robert Cohn, Satinder Singh, Edmund Durfee

COLT (May 14 / Barcelona)

Conference on Learning Theory

  • Online Linear Optimization via Smoothing
    • Jacob Abernethy, **Chansoo Lee, Abhinav Sinha, Ambuj Tewari

ACM Multimedia (Nov 14 / Orlando, FL)

ACM International Conference on Multimedia

  • Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition
    • **Yelin Kim and Emily Mower Provost

ICMI (Nov 14 / Istanbul)

International Conference on Multimodal Interaction

  • Deception detection using a multimodal approach
    • **Mohamed Abouelenien, **Verónica Pérez-Rosas, Rada Mihalcea, and Mihai Burzo

NIPS (Dec 14 / Montréal)

Neural Information Processing Systems Conference

  • Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
    • **Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard Lewis, Xiaoshi Wang
  • Improved Multimodal Deep Learning with Variation of Information
    • **Kihyuk Sohn, Wenling Shang, and Honglak Lee

Session 2

AAAI (Jan 15 / Austin, TX)

AAAI Conference on Artificial Intelligence

  • Mechanism Design for Team Formation
    • **Mason Wright and Yevgeniy Vorobeychik
  • Ontology-based Information Extraction with a Cognitive Agent
    • **Peter Lindes, Deryle W. Lonsdale, David W. Embley
  • Spontaneous Retrieval from Long-Term Memory in a Cognitive Architecture
    • **Justin Li and John Laird

AAMAS (May 15 / Istanbul)

International Conference on Autonomous Agents and Multi-Agent Systems

  • The Dependence of Effective Planning Horizon on Model Accuracy
    • **Nan Jiang, Alex Kulesza, Satinder Singh, Richard Lewis

ICWSM (May 15 / Oxford)

International Conference on Web and Social Media

  • Values in Words: Using Language to Evaluate and Understand Personal Values
    • Ryan L. Boyd, **Steven R. Wilson, James W. Pennebaker, Michal Kosinski, David J. Stillwell, and Rada Mihalcea

AI-STATS (May 15 / San Diego, CA)

International Conference on Artificial Intelligence and Statistics

  • Low-Rank Spectral Learning with Weighted Loss Functions
    • **Alex Kulesza, Nan Jiang, Satinder Singh

Session 3

CVPR (Jun 15 / Boston, MA)

IEEE Conference on Computer Vision and Pattern Recognition

  • Can Humans Fly? Action Understanding with Multiple Classes of Actors
    • **Chenliang Xu, S.-H. Hsieh, Caiming Xiong, Jason J. Corso
  • Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
    • **Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, and Honglak Lee
  • Mining Semantic Affordances of Visual Object Categories
    • **Yu-Wei Chao, Zhan Wang, Rada Mihalcea, Jia Deng