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Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks

Intelligent Systems Conference (IntelliSys) Proceedings 2020.
A. Reustle and T. Rabbani and F. Huang
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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
Publisher's website BibTeX

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 BibTeX

Sample-free Bayesian Learning for Quantized Neural Networks

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

Unsupervised learning of word-sequence representations from scratch via convolutional tensor decomposition

2017
Huang, Furong and Anandkumar, Animashree
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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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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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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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Quantum algorithms for leading eigenvector computation

preprint, 2019
F. Huang, T. Li and X. Wu
BibTeX

Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression

13th Annual Machine Learning Symposium, Women in Machine Learning Workshop, preprint, 2019
J. Su, J. Li, B. Bhattacharjee, F. Huang
BibTeX