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Workshop
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Spectral Robustness Analysis of Deep Imitation Learning
Ezgi Korkmaz
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Competition
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Thu 4:50
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Transfer Learning Award: Team SI Analytics - Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Yeji Choi
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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Workshop
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Domain Invariant Q-Learning for model-free robust continuous control under visual distractions
Tom Dupuis · Jaonary Rabarisoa · Quoc Cuong PHAM · David Filliat
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Workshop
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Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng
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Workshop
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Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig
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Workshop
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Few-Shot Transferable Robust Representation Learning via Bilevel Attacks
Minseon Kim · Hyeonjeong Ha · Sung Ju Hwang
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Workshop
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A Vision for Certifiable Perception: from Outlier-Robust Estimation to Self-Supervised Learning - Luca Carlone & Rajat Talak
Hamidreza Kasaei
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Workshop
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Semi-supervised Learning Using Robust Loss
Wenhui Cui · Haleh Akrami · · Richard Leahy
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Workshop
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Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier · Stephen McAleer · Pierre Baldi · Roy Fox
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Tutorial
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Mon 11:00
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Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
Chara Podimata
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Poster
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Wed 9:00
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A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison · Luke Metz · Jascha Sohl-Dickstein
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