Andrew L. Maas

Publication Activity (10 Years)

Years Active: 2008-2018
Publications (10 Years): 3

Top Topics

Noise Detection

Inconsistent Information

Scales Linearly

Top Venues

Publications

Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. COLING (2018)
Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41 (2017)
Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations. CoRR (2017)
Andrew L. Maas, Ziang Xie, Dan Jurafsky, Andrew Y. Ng
Lexicon-Free Conversational Speech Recognition with Neural Networks. HLT-NAACL (2015)
Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR (2014)
Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014 (May) (2014)
Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts
Sentiment expression conditioned by affective transitions and social forces. KDD (2014)
Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs. CoRR (2014)
Andrew L. Maas, Quoc V. Le, Tyler M. O'Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng
Recurrent Neural Networks for Noise Reduction in Robust ASR. INTERSPEECH (2012)
Richard Socher, Andrew L. Maas, Christopher D. Manning
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. AISTATS (2011)
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, Christopher Potts
Learning Word Vectors for Sentiment Analysis. ACL (2011)
Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control. AAAI Spring Symposium: Human Behavior Modeling (2009)
Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, J. Andrew Bagnell
Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior. UbiComp (2008)
Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey
Maximum Entropy Inverse Reinforcement Learning. AAAI (2008)