Andrew L. Maas

According to our database, Andrew L. Maas authored at least 14 papers between 2008 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations.

Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Building DNN acoustic models for large vocabulary speech recognition.

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng

Comput. Speech Lang., 2017

2015

Deep neural networks in speech recognition.

Andrew L. Maas

PhD thesis, 2015

Lexicon-Free Conversational Speech Recognition with Neural Networks.

Andrew L. Maas, Ziang Xie, Dan Jurafsky, Andrew Y. Ng

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium).

Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng

Ubiquity, 2014

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition.

Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng

CoRR, 2014

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs.

Andrew L. Maas, Awni Y. Hannun, Daniel Jurafsky, Andrew Y. Ng

CoRR, 2014

Sentiment expression conditioned by affective transitions and social forces.

Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012

Recurrent Neural Networks for Noise Reduction in Robust ASR.

Andrew L. Maas, Quoc V. Le, Tyler M. O'Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities.

Richard Socher, Andrew L. Maas, Christopher D. Manning

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning Word Vectors for Sentiment Analysis.

Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, Christopher Potts

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2009

Human Behavior Modeling with Maximum Entropy Inverse Optimal Control.

Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey

Proceedings of the Human Behavior Modeling, 2009

2008

Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior.

Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, J. Andrew Bagnell

Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Maximum Entropy Inverse Reinforcement Learning.

Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008