Publications

ARMA Nets: Expanding Receptive Field for Dense Prediction

Neural Information Processing System (NeurIPS), 2020
Jiahao Su, Shiqi Wang, Furong Huang
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MaxVA: Fast Adaptation of Stepsizes by Maximizing Observed Variance of Gradients

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2021.
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein
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Convolutional Tensor-Train LSTM for Spatio-Temporal Learning

Neural Information Processing Systems (NeurIPS), 2020
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
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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
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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
BibTeX

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

2017
Huang, Furong and Anandkumar, Animashree
BibTeX

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
BibTeX