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On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis


Oct 04, 2021
Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David Cox, James Glass


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Global Rhythm Style Transfer Without Text Transcriptions


Jun 16, 2021
Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson


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Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators


Jun 11, 2021
Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin

* Accepted at ICML 2021 

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PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition


Jun 10, 2021
Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David Cox, James Glass


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Lifelong Object Detection


Sep 02, 2020
Wang Zhou, Shiyu Chang, Norma Sosa, Hendrik Hamann, David Cox


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ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation


Jul 09, 2020
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins

* Project page: http://www.threedworld.org 

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Unsupervised Speech Decomposition via Triple Information Bottleneck


May 04, 2020
Kaizhi Qian, Yang Zhang, Shiyu Chang, David Cox, Mark Hasegawa-Johnson


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More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation


Dec 02, 2019
Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox

* Accepted at NeurIPS 2019, codes and models are available at https://github.com/IBM/bLVNet-TAM 

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Self-supervised Moving Vehicle Tracking with Stereo Sound


Oct 25, 2019
Chuang Gan, Hang Zhao, Peihao Chen, David Cox, Antonio Torralba

* To appear at ICCV 2019. Project page: http://sound-track.csail.mit.edu 

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ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization


Oct 16, 2019
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox


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Conditional Infilling GANs for Data Augmentation in Mammogram Classification


Aug 24, 2018
Eric Wu, Kevin Wu, David Cox, William Lotter

* To appear in MICCAI 2018, Breast Image Analysis Workshop 

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A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception


May 30, 2018
William Lotter, Gabriel Kreiman, David Cox


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Recurrent computations for visual pattern completion


Apr 06, 2018
Hanlin Tang, Martin Schrimpf, Bill Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman


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Using Human Brain Activity to Guide Machine Learning


Sep 19, 2017
Ruth Fong, Walter Scheirer, David Cox

* Supplemental material can be downloaded here: http://www.wjscheirer.com/misc/activity_weights/fong-et-al-supplementary.pdf 

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A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification


Jul 21, 2017
William Lotter, Greg Sorensen, David Cox

* Accepted to MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis 

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Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning


Mar 01, 2017
William Lotter, Gabriel Kreiman, David Cox

* Code and example video clips can be found here: https://coxlab.github.io/prednet/ 

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Tensor Switching Networks


Oct 31, 2016
Chuan-Yung Tsai, Andrew Saxe, David Cox


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Syntactically Informed Text Compression with Recurrent Neural Networks


Aug 26, 2016
David Cox

* 12 pages, 3 figures 

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Delta Epsilon Alpha Star: A PAC-Admissible Search Algorithm


Aug 08, 2016
David Cox

* 8 pages, 0 figures 

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Unsupervised Learning of Visual Structure using Predictive Generative Networks


Jan 20, 2016
William Lotter, Gabriel Kreiman, David Cox

* under review as conference paper at ICLR 2016 

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