| 8:00-8:10 | Welcome | |
| 8:10-8:50 | Mark Gales | Log-Linear Models for Speech Recognition (talk slides) | |
| 8:50-9:30 | Shai Ben-David | Theoretical Analysis of Domain Adaptation -- Current State of the Art (talk slides) | |
| 9:30-10:10 | Brian Roark | Hallucinating System Outputs for Discriminative Language Modeling (talk slides) | |
| 10:10-10:30 | Break | |
| 10:30-11:10 | Dirk Van Compernolle | Large Vocabulary Template Based Speech Recognition (talk slides) | |
| 11:10-11:50 | Erik McDermott | An Integrated Framework for ``Margin'' Based Sequential Discriminative Training over Lattices Based on Differenced Maximum Mutual Information (dMMI) (talk slides) | |
| 11:50-12:30 | Inderjit Dhillon | Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation (talk slides) | |
| 12:30-1:40 | Lunch | |
| 1:40-2:20 | Hoifung Poon | Unsupervised Semantic Parsing (talk slides) | |
| 2:20-3:00 | Georg Heigold | Exemplar-Based Speech Recognition in a Rescoring Approach (talk slides) | |
| 3:00-4:30 | Poster Session | |
| Andrea DeMarco and Stephen Cox | Iterative Classification Of Regional British Accents In I-Vector Space |
| Hitoshi Nishikawa, Toshiro Makino, and Yoshihiro Matsuo | Domain Adaptation with Augmented Space Method for Multi-Domain Contact Center Dialogue Summarization |
| Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani, and Atsushi Nakamura | Dynamic Variance Adaptation using differenced Maximum Mutual Information |
| Udhyakumar Nallasamy, Florian Metze, Tanja Schultz | Semi-Supervised Learning for Speech Recognition in the Context of Accent Adaptation |
| Anindya Roy, Mathew Magimai-Doss, and Sebastien Marcel | Boosting Localized Binary Features for Speech Recognition |
| Rohit Prabhavalkar, Joseph Keshet, Karen Livescu, and Eric Fosler-Lussier | Discriminative Spoken Term Detection with Limited Data |
| Bin Zhang and Mari Ostendorf | Semi-Supervised Learning for Text Classification using Feature Affinity Regularization |
| Emre Yilmaz, Dirk Van Compernolle, and Hugo Van hamme | Combining exemplar-based matching and exemplar-based sparse representations of speech |
| Raman Arora and Karen Livescu | Kernel CCA for multi-view learning of acoustic features using articulatory measurements |
| 4:30-5:10 | Hal Daumé III | Transfer Learning in Language (talk slides) | |
| 5:10-5:50 | Li Deng | Learning Deep Architectures Using Kernel Modules (talk slides) | | |