Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning
19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020)
Y. Sun, F. Huang
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Understanding of Generalization in Deep Learning via Tensor Methods
In Workshop on Generalization, ICML 2019, 2019
Jingling Li and Yanchao Sun and Jiahao Su and Taiji Suzuki and Furong Huang
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Understanding Generalization in Deep Learning via Tensor Methods
Twenty-third International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
J. Li, Y. Sun, J. Su, T. Suzuki, F. Huang
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Sampling-Free Learning of Bayesian Quantized Neural Networks
In The International Conference on Learning Representations (ICLR), 2020, 2020
Jiahao Su and Milan Cvitkovic and Furong Huang
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Sample-free Bayesian Learning for Quantized Neural Networks
International Conference on Learning Representations (ICLR), 2020.
Jiahao Su, Milan Cvitkovic, Furong Huang,
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Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?
In 30th British Machine Vision Conference (BMVC), 2019, 2019
Ali Shafahi and Amin Ghiasi and Mahyar Najibi and Furong Huang and John P. Dickerson and Tom Goldstein
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Logit-Similarity: Defending, Understanding, and Generalizing Logit-Squeezing
30th British Machine Vision Conference (BMVC), 2019
A. Shafahi, A. Ghiasi, F. Huang, T. Goldstein
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Reinforcement Learning for Dynamic Set Packing
RLDM, 2019
M. Curry, D. McElfresh, X. You, C. Moy, F. Huang, T. Goldstein, J. Dickerson
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Guaranteed Scalable Learning of Latent Tree Models
The Conference on Uncertainty in Articial Intelligence (UAI), 2019
F. Huang, N. UN, I. Perros, R. Chen, J. Sun, A. Anandkumar
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Efficiently Improving the Robustness of RL Agents against Strongest Adversaries
In Workshop on Safe and Robust Control of Uncertain Systems (SafeRL), Oral, NeurIPS 2021, 2021
Yongyuan Liang and Yanchao Sun and Ruijie Zheng and Furong Huang
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