Publication Type: Conference articles

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
Publisher's website

ARMA Nets: Expanding Receptive Field for Dense Prediction

Neural Information Processing System (NeurIPS), 2020
Jiahao Su, Shiqi Wang, Furong Huang
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Interpretable Insights about Medical Image Datasets: Using Wavelets and Spectral Methods

ICML 2020 Workshop on Human Interpretability in Machine Learning (WHI)
R. Yousefzadeh, F. Huang
Publisher's website

Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks

Intelligent Systems Conference (IntelliSys) Proceedings 2020.
A. Reustle and T. Rabbani and F. Huang

An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm

Thirty-seventh International Conference on Machine Learning (ICML), 2020.
C. Decarolis, M. Ram, S. Esmaeili, Y. Wang, F. Huang
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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
Publisher's website

Sample-free Bayesian Learning for Quantized Neural Networks

International Conference on Learning Representations (ICLR), 2020.
Jiahao Su, Milan Cvitkovic, Furong Huang,
Publisher's website

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

Reinforcement Learning for Dynamic Set Packing

RLDM, 2019
M. Curry, D. McElfresh, X. You, C. Moy, F. Huang, T. Goldstein, J. Dickerson

Logit-Similarity: Defending, Understanding, and Generalizing Logit-Squeezing

30th British Machine Vision Conference (BMVC), 2019
A. Shafahi, A. Ghiasi, F. Huang, T. Goldstein