Domain adaptation: From simulation data to real world training data
Berkeley Deep Drive Symposium, November 2017
A General Framework for Domain Adversarial Learning
OpenAI, July 2017
Qualcomm Research, July 2017
Berkeley Artificial Intelligence Research, April 2017
Invited Talk at Deep Learning Summit, San Francisco, January 2017.
Learning with Side Information through Modality Hallucination
CVPR, June 2016
Cross-Modal Adaptation for RGB-D Detection
ICRA, May 2016
Dissertation Talk April 2016
Adapting Deep Networks Across Domains, Modalities, and Tasks
Stanford Computer Vision Seminar, January 2016
Invited Talk at TASK-CV Workshop (ICCV), 2015.
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Simultaneous Transfer Across Domains and Tasks
Bay Area Robotics Symposium, Berkeley, USA, 2015
Adapting Deep Networks to Real-World Problems
Amazon Computer Vision PhD Symposium, October, 2015.
Large scale recognition through adaptation
Berkeley-Stanford vision learning meeting, Berkeley, USA, 2015
Category Invariant Cross Modality Transfer
Daghstuhl seminar Machine Learning with Interdependent and Non-identically Distributed Data, Schloss Dagstuhl, Germany, 2015.
Continuous Adaptation with Limited Target Labeled Data
IST Austria Symposium on Computer Vision and Machine Learning, Vienna, Austria, 2015.
Transfer of Deep Vision (and Language) models for "TOT"
DARPA meeting invited talk, 2014.