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Workshop
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Sat 8:30
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Unbalanced Optimal Transport: Efficient solutions for outlier-robust machine learning (Laetitia Chapel)
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Workshop
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Fri 13:00
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Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Lukas Struppek · Martin Bernhard Hentschel · Clifton Poth · Dominik Hintersdorf · Kristian Kersting
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Workshop
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On robust overfitting: adversarial training induced distribution matters
Runzhi Tian · Yongyi Mao
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Workshop
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Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness
Young Jin Kim · Raffy Fahim · Hany Awadalla
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Workshop
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TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen · Hao Su · Xiaolong Wang
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Affinity Workshop
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Delta Data Augmentation: Enhancing Adversarial Robustness with Adversarial Sampling
Ivan Reyes-Amezcua · Jorge Gonzalez Zapata · Gilberto Ochoa-Ruiz · Andres Mendez-Vazquez
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Workshop
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Robust Q-Learning against State Perturbations: a Belief-Enriched Pessimistic Approach
Xiaolin Sun · Zizhan Zheng
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Workshop
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Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
Aakriti Agrawal · Rohith Aralikatti · Yanchao Sun · Furong Huang
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Workshop
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ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke · Abhishek Saroha · Yuesong Shen · Marvin Eisenberger · Daniel Cremers
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Workshop
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Flow-Based High-Dimensionally Distributional Robust Optimization
Chen Xu · Jonghyeok Lee · Xiuyuan Cheng · Yao Xie
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Workshop
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HateXplain Space Model: Fusing Robustness with Explainability in Hate Speech Analysis
Md Fahim · Md Shihab Shahriar · Mohammad Ruhul Amin
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Workshop
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Targeted Uncertainty Reduction in Robust MDPs
Uri Gadot · Kaixin Wang · Esther Derman · Navdeep Kumar · Kfir Y. Levy · Shie Mannor
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