2008 |
12 | | Mark Dredze,
Hanna M. Wallach,
Danny Puller,
Tova Brooks,
Josh Carroll,
Joshua Magarick,
John Blitzer,
Fernando Pereira:
Intelligent Email: Aiding Users with AI.
AAAI 2008: 1524-1527 |
11 | EE | Mark Dredze,
Tova Brooks,
Josh Carroll,
Joshua Magarick,
John Blitzer,
Fernando Pereira:
Intelligent email: reply and attachment prediction.
IUI 2008: 321-324 |
10 | EE | Ted Sandler,
John Blitzer,
Partha Pratim Talukdar,
Lyle H. Ungar:
Regularized Learning with Networks of Features.
NIPS 2008: 1401-1408 |
9 | EE | Kuzman Ganchev,
João Graça,
John Blitzer,
Ben Taskar:
Multi-View Learning over Structured and Non-Identical Outputs.
UAI 2008: 204-211 |
8 | EE | Kuzman Ganchev,
João Graça,
John Blitzer,
Ben Taskar:
Multi-View Learning over Structured and Non-Identical Outputs.
UAI 2008: 88-96 |
2007 |
7 | EE | John Blitzer,
Mark Dredze,
Fernando Pereira:
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification.
ACL 2007 |
6 | EE | John Blitzer,
Koby Crammer,
Alex Kulesza,
Fernando Pereira,
Jennifer Wortman:
Learning Bounds for Domain Adaptation.
NIPS 2007 |
2006 |
5 | EE | Shai Ben-David,
John Blitzer,
Koby Crammer,
Fernando Pereira:
Analysis of Representations for Domain Adaptation.
NIPS 2006: 137-144 |
2005 |
4 | EE | Mark Dredze,
John Blitzer,
Fernando Pereira:
Reply Expectation Prediction for Email Management.
CEAS 2005 |
3 | EE | Kilian Q. Weinberger,
John Blitzer,
Lawrence K. Saul:
Distance Metric Learning for Large Margin Nearest Neighbor Classification.
NIPS 2005 |
2004 |
2 | EE | John Blitzer,
Kilian Q. Weinberger,
Lawrence K. Saul,
Fernando Pereira:
Hierarchical Distributed Representations for Statistical Language Modeling.
NIPS 2004 |
2003 |
1 | EE | Dragomir R. Radev,
Simone Teufel,
Horacio Saggion,
Wai Lam,
John Blitzer,
Hong Qi,
Arda Çelebi,
Danyu Liu,
Elliott Drábek:
Evaluation Challenges in Large-Scale Document Summarization.
ACL 2003: 375-382 |