| 602 |
10:25-11:25 |
Distributionally Adversarial Attack |
Game Theory and Economic Paradigms 1 |
Kahili Suite |
Tianhang Zheng |
| 5666 |
11:30-12:30 |
Multi-Task Deep Reinforcement Learning with PopArt |
Transfer / Adaptation / Multi-task Learning 1 |
Coral Ballroom 3-5 |
Matteo Hessel |
| 2360 |
11:30-12:30 |
AutoZOOM: Autoencoder Zeroth Order Optimization Method for Attacking Black-Box Neural Networks |
AI for Social Impact 2 |
Coral 1 |
Chun-Chen Tu |
| 6751 |
11:30-12:30 |
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience |
Cognitive Systems |
Lehua |
Beomjoon Kim |
| 6269 |
2:00-3:30 |
Guided Dropout |
Deep Learning 1 |
Coral Ballroom 3-5 |
Rohit Keshari |
| 4306 |
2:00-3:30 |
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks |
AI and Web 3 |
South Pacific 1 |
Di Jin |
| 3231 |
2:00-3:30 |
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning |
Coral Ballroom 3-5 |
South Pacific 2 |
Ziming Li |
| 1336 |
2:00-3:30 |
Switch Active Deep Dyna-Q: Efficient Adaptive Planning for Task Completion Dialogue Policy Learning |
Coral Ballroom 3-5 |
South Pacific 2 |
Yuexin Wu |
| - |
Jan 30th, 2019, 8:45-9:45 |
Adversarial Machine Learning |
Invited Talk |
Coral Ballroom |
Ian Goodfellow |
| - |
11:30-12:30 |
ALL ORALS SHOULD BE NOTED |
Adversarial Learning |
Coral Ballroom 3-5 |
- |
| - |
3:35-4:35 |
ALL ORALS SHOULD BE NOTED |
Reinforcement Learnint 1 |
Coral Ballroom 3-5 |
- |
| 5388 |
2:00-3:30 |
Temporal Planning with Temporal Metric Trajectory Constraints |
Planning, Routing, and Scheduling 3 |
Lehua |
Andrea Micheli |
| 1468 |
3:35-4:45 |
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes |
Deep Learning 3 |
Coral 1 |
Stanislav Fort |
| - |
Jan 31th, 2019, 5:15-6:15 |
GDPR, Data Shortage and AI |
Invited Talk |
Coral Ballroom |
Yang Qiang |
| 1405 |
10:25-11:25 |
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach |
Reasoning under Uncertainty 1 |
Sea Pearl Suite |
Silviu Pitis |
| 5968 |
11:30-12:30 |
Bayesian Graph Convolutional Neural Networks for SemiSupervised Classification |
Bayesian Learning and Probabilistic Graphical Model 2 |
Kahili Suite |
Mark Coates |
| 1734 |
11:30-12:30 |
Verifying Robustness of Gradient Boosting Models |
Human-AI Collaboration 1 |
Lehua |
Itai Segall |
| - |
2:00-3:30 |
ALL SHOULD BE NOTED |
Multiagent Systems 1 |
Sea Pearl Suite |
- |
| - |
Feb 1st, 2019, 10:00-11:00 |
ALL SHOULD BE NOTED |
Reinforcement Learning 2 |
Nautilus Suite |
- |
| - |
Feb 1st, 2019, 11:15-12:30 |
ALL SHOULD BE NOTED |
Reinforcement Learning 3 |
Nautilus Suite |
- |