Morning Session: 7:30 - 10:30

Afternoon Session: 3:30 - 6:30

Accepted Contributions

Deep Generative Models for Bio-sequences pdf.
Joseph Bockhorst

Modeling Transfer Learning and Taxonomy Induction with the
Hierarchical Dirichlet Process
Kevin Canini and Tom Griffiths

Coping with New User Problems: Transfer Learning in Accelerometer-Based Human Activity Recognition pdf.
Hirotaka Hachiya, Masashi Sugiyama, and Naonori Ueda

Cross-View Transfer Learning for Automatic Speech Recognition pdf.
Jing Huang, Xiaodong Cui, and Jen-Tzung Chien

Feature-Preserving Embeddings for Topic Transfer pdf.
Peter Krafft and Sridhar Mahadevan

Learning novel visual concepts from few examples
Brenden Lake, Ruslan Salakhutdinov, and Josh Tenenbaum

Blind Domain Transfer for Named Entity Recognition using
Generative Latent Topic Models
Ramesh Nallapati, Mihai Surdeanu, and Christopher D. Manning

Multitask Learning via Mixture of Linear Subspaces pdf.
Piyush Rai and Hal Daume III

Random guillotine partitions of the Cantor cube and statistical applications to relational data
Dan Roy and Yee Whye Teh

Transfer learning via Semi-Supervised Multi-task Gaussian Processes pdf.
Grigorios Skolidis and Guido Sanguinetti

Gated Boltzmann Machine for Recognition under Occlusion pdf.
Yichuan Tang

Transferring Learning via Learned Transformations pdf.
Christopher Wilson and Dan Ventura