UC Berkeley, Computer Vision PhD Student
Adapting Deep Networks to Real-World Problems
Amazon Computer Vision PhD Symposium, October, 2015.
Category Invariant Cross Modality Transfer
Daghstuhl seminar Machine Learning with Interdependent and Non-identcally Distributed Data, Schloss Dagstuhl, Germany, April 2015.
Continuous Adaptation with Limited Target Labeled Data
IST Austria Symposium on Computer Vision and Machine Learning, Vienna, Austria, 2015.
Large Scale Detection through Adaptation
Baylearn (Presented Hoffman et al. NIPS 2014)
Efficient Learning of Domain Invariant Image Representations
Discovering Latent Domains for Multisource Domain Adaptation
WiML 2012. (Presentation of Hoffman et al. ECCV 2012) [slides pdf]