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Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy


Mar 21, 2021
Chen Chen, Kezhi Kong, Peihong Yu, Juan Luque, Tom Goldstein, Furong Huang


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DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations


Mar 02, 2021
Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein

* 11 pages, 5 figures 

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Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks


Oct 24, 2020
Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang


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Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics


Sep 02, 2020
Yanchao Sun, Furong Huang


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Adaptive Learning Rates with Maximum Variation Averaging


Jun 21, 2020
Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein


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Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets


Jun 17, 2020
Roozbeh Yousefzadeh, Furong Huang


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Convolutional Tensor-Train LSTM for Spatio-temporal Learning


Mar 22, 2020
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

* Jiahao Su and Wonmin Byeon contributed equally to this work. 17 pages, 14 figures 

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Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers


Feb 22, 2020
Chen Zhu, Renkun Ni, Ping-yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein


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TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL


Feb 16, 2020
Yanchao Sun, Xiangyu Yin, Furong Huang


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ARMA Nets: Expanding Receptive Field for Dense Prediction


Feb 15, 2020
Jiahao Su, Shiqi Wang, Furong Huang


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Understanding Generalization in Deep Learning via Tensor Methods


Jan 14, 2020
Jingling Li, Yanchao Sun, Jiahao Su, Taiji Suzuki, Furong Huang

* 9 pages (main paper), 42 pages (full version) 

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Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning


Dec 21, 2019
Yanchao Sun, Furong Huang


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Sampling-Free Learning of Bayesian Quantized Neural Networks


Dec 06, 2019
Jiahao Su, Milan Cvitkovic, Furong Huang


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Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?


Oct 25, 2019
Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein


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Understanding Generalization through Visualizations


Jul 16, 2019
W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein

* 8 pages (excluding acknowledgments and references), 8 figures 

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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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


Sep 07, 2018
Seyed A. Esmaeili, Furong Huang

* We will make major modifications to this paper 

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Tensorized Spectrum Preserving Compression for Neural Networks


Jul 10, 2018
Jiahao Su, Jingling Li, Bobby Bhattacharjee, Furong Huang


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Learning Deep ResNet Blocks Sequentially using Boosting Theory


Jun 14, 2018
Furong Huang, Jordan Ash, John Langford, Robert Schapire

* Accepted to ICML 2018 

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Unsupervised Learning of Word-Sequence Representations from Scratch via Convolutional Tensor Decomposition


May 28, 2018
Furong Huang, Animashree Anandkumar

* There was an error in section 3, there is a bug in the experiment section. We would like to take it down 

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Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares


May 25, 2018
Jialin Li, Furong Huang


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Non-negative Factorization of the Occurrence Tensor from Financial Contracts


Dec 10, 2016
Zheng Xu, Furong Huang, Louiqa Raschid, Tom Goldstein

* NIPS tensor workshop 

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Unsupervised learning of transcriptional regulatory networks via latent tree graphical models


Sep 20, 2016
Anthony Gitter, Furong Huang, Ragupathyraj Valluvan, Ernest Fraenkel, Animashree Anandkumar

* 37 pages, 9 figures 

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Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model


Jun 11, 2016
Furong Huang, Animashree Anandkumar, Christian Borgs, Jennifer Chayes, Ernest Fraenkel, Michael Hawrylycz, Ed Lein, Alessandro Ingrosso, Srinivas Turaga


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