Adapting Deep Networks Across Domains, Modalities, and Tasks
Invited Talk at TASK-CV Workshop (ICCV), 2015
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.
Large Scale Detection through Adaptation
Baylearn (Presented Hoffman et al. NIPS 2014) [slides pptx] [slides pdf] [paper]
Efficient Learning of Domain Invariant Image Representations
ICLR 2013. [slides pdf] [paper]
Discovering Latent Domains for Multisource Domain Adaptation
WiML 2012. (Presentation of Hoffman et al. ECCV 2012) [slides pdf] [paper]