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Multi-Modal Pre-Training for Automated Speech Recognition


Oct 12, 2021
David M. Chan, Shalini Ghosh, Debmalya Chakrabarty, Björn Hoffmeister


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A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery


Apr 02, 2021
Aatif Jiwani, Shubhrakanti Ganguly, Chao Ding, Nan Zhou, David M. Chan

* 11 pages, 6 figures. Code available at https://github.com/aatifjiwani/rgb-footprint-extract/ 

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Active Learning for Video Description With Cluster-Regularized Ensemble Ranking


Jul 29, 2020
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John Canny


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Exploring Exploration: Comparing Children with RL Agents in Unified Environments


May 06, 2020
Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Huang, Alison Gopnik, John Canny

* Published as a workshop paper at "Bridging AI and Cognitive Science" (ICLR 2020) 

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Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics


Dec 11, 2018
Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny


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t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data


Jul 31, 2018
David M. Chan, Roshan Rao, Forrest Huang, John F. Canny

* To appear in HPML 2018 High Performance Machine Learning Workshop (Accepted, 2018) 

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