SMART: Self-supervised Multi-task pretrAining with contRol Transformers
The Eleventh International Conference on Learning Representations (ICLR), 2023.
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
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Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Neural Information Processing System (NeurIPS), 2022.
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
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Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
accepted to the Responsible Decision Making in Dynamic Environments Workshop @ICML2022.
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Neural Information Processing System (NeurIPS), 2022.
Bang An, Zora Che, Mucong Ding, Furong Huang
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Transfer Fairness under Distribution Shifts
ICLR Workshop on Socially Responsible Machine Learning, @ICLR 2022.
Bang An, Zora Che, Mucong Ding, Furong Huang
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Sketch-GNN: Efficient GNNs with Graph Size-Independent Scalability
Neural Information Processing System (NeurIPS), 2022.
Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
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Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
In GLFrontiers Workshop, NeurIPS 2022, 2022
Mucong Ding and Tahseen Rabbani and Bang An and Evan Wang and Furong Huang
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Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation
In GLFrontiers Workshop, NeurIPS 2022, 2022
Mucong Ding and Xiaoyu Liu and Tahseen Rabbani and Furong Huang
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End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
In Neural Information Processing System (NeurIPS), 2022, 2022
Arpit Bansal and Avi Schwarzschild and Eitan Borgnia and Zeyad Emam and Furong Huang and Micah Goldblum and Tom Goldstein
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End-to-end Scalable Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking
Neural Information Processing System (NeurIPS), 2022.
Arpit Bansal, Avi Schwarzschild, Eitan Borgnia, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein
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