| Time (JST) | Time (Your Browser) | Title | Speaker | Video Link |
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16:00-17:00 11/01/2023
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Learning Deep Feature in Causal Inference with Unobserved Confounder:
Liyuan Xu (Gatsby Computational Neuroscience Unit) |
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Video |
16:00-17:00 18/01/2023
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Knowledge Augmentation: Towards multi-objective robust machine learning for critical systems:
Salah Ghamizi (University of Luxembourg) |
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Video |
17:00-18:00 18/01/2023
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Multi-Label Classification Neural Networks with Hard Logical Constraints:
Eleonora Giunchiglia (University of Oxford) |
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Video |
18:00-19:00 18/01/2023
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Adversarial machine learning in the real-world: assessing and improving model robustness in domain-constrained data space:
Maxime Cordy (University of Luxembourg) |
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Video |
17:00-18:00 24/01/2023
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Challenges in Adversarial Attacks for Motion Estimation:
Jenny Schmalfuss (University of Stutgart) |
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Video |
17:00-18:00 30/01/2023
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Rigorous evaluation of machine learning models:
Olivia Wiles (DeepMind) |
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Video |
09:00-10:00 01/02/2023
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Robust Learning via Cross-Task Consistency:
Alexander (Sasha) Sax (UC Berkeley) |
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Video |
17:00-18:00 06/02/2023
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Scalable Trustworthy AI -- Beyond "what", towards "how":
Seong Joon Oh (University of Tübingen) |
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Video |
14:00-15:00 08/02/2023
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Understanding Generalized Out-of-Distribution Detection: A Theoretical View
Zhen Fang (University of Technology Sydney) |
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Video |
17:00-18:00 16/02/2023
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Adversarial attack in black-box settings:
Yiwen Guo |
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Video |
09:00-10:00 22/02/2023
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Datamodels: Predicting Predictions from Training Data:
Andrew Ilyas (MIT) |
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Video |
11:00-12:00 03/03/2023
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Economic Modeling, Decision-Making, and Mechanism Design using the AI Economist:
Stephan Zheng (Salesforce Research) |
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Video |
17:00-18:00 10/03/2023
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Learning Efficiently from Data using Sparse Neural Networks:
Zahra Atashgahi (University of Twente) |
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Video |
18:00-19:00 10/03/2023
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Generative Computer Vision: Robust Generalization with Analysis-by-Synthesis:
Adam Kortylewski (Max Planck Institute for Informatics) |
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Video |
09:00-10:00 17/03/2023
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A data-centric view on reliable generalization: From ImageNet to LAION-5B
Ludwig Schmidt (U Washington) |
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Video |
10:00-11:00 24/03/2023
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ML Safety
Dan Hendrycks (UC Berkeley) |
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Video |
09:00-10:00 27/03/2023
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Provable Domain Generalization via Invariant-Feature Subspace Recovery:
Han Zhao (University of Illinois at Urbana-Champaign) |
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Video |
10:00-11:00 27/03/2023
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Great Haste Makes Great Waste: Exploiting and Attacking Efficient Deep Learning
Sanghyun Hong (Oregon State University) |
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Video |
10:00-11:00 28/03/2023
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Netflix and Forget:
Mimee Xu (New York University) |
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Video |
18:00-19:00 29/03/2023
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Imitation Attacks and Defenses:
Xuanli He (University College London) |
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Video |
11:00-12:00 30/03/2023
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Global Optimization with Parametric Function Approximation:
Chong Liu (UC Santa Barbara) |
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Video |
10:00-11:00 04/04/2023
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Biologically Inspired Foveation Filter Improves Robustness to Adversarial Attacks:
Muhammad Ahmed Shah (Carnegie Mellon University) |
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Video |
17:00-18:00 18/04/2023
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Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data:
Yuki Funabiki (Sony Group Corporation JAPAN) |
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Video |
10:00-11:00 20/04/2023
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The Vulnerabilities of Preprocessing in Adversarial Machine Learning:
Yue Gao (University of Wisconsin at Madison) |
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Video |
11:00-12:00 20/04/2023
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Towards Sample-Optimal Offline Reinforcement Learning:
Ming Yin (UC Santa Barbara) |
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Video |
15:00-16:00 29/05/2023
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Risk-aware Online Decision Making:
Yihan Du (Tsinghua University) |
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Video |
14:00-15:00 22/06/2023
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Faster and Stronger: from Transformers to GPTs:
Irene Li (University of Tokyo) |
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Video |