Andrew L. Maas
Title
Cited by
Cited by
Year
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
33712013
Learning word vectors for sentiment analysis
A Maas, RE Daly, PT Pham, D Huang, AY Ng, C Potts
Proceedings of the 49th annual meeting of the association for computational …, 2011
21692011
Maximum entropy inverse reinforcement learning.
BD Ziebart, AL Maas, JA Bagnell, AK Dey
Aaai 8, 1433-1438, 2008
14042008
Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
BD Ziebart, AL Maas, AK Dey, JA Bagnell
Proceedings of the 10th international conference on Ubiquitous computing …, 2008
3062008
Recurrent neural networks for noise reduction in robust ASR
A Maas, QV Le, TM O’neil, O Vinyals, P Nguyen, AY Ng
3032012
Lexicon-Free Conversational Speech Recognition with Neural Networks
AL Maas, Z Xie, D Jurafsky, AY Ng
North American Chapter of the Association for Computational Linguistics (NAACL), 2015
1322015
First-pass large vocabulary continuous speech recognition using bi-directional recurrent dnns
AY Hannun, AL Maas, D Jurafsky, AY Ng
arXiv preprint arXiv:1408.2873, 2014
962014
Building DNN acoustic models for large vocabulary speech recognition
AL Maas, P Qi, Z Xie, AY Hannun, CT Lengerich, D Jurafsky, AY Ng
Computer Speech & Language 41, 195-213, 2017
622017
A probabilistic model for semantic word vectors
AL Maas, AY Ng
NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 1-8, 2010
582010
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control.
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Spring Symposium: Human Behavior Modeling 92, 2009
482009
Spectral chinese restaurant processes: Nonparametric clustering based on similarities
R Socher, A Maas, C Manning
Proceedings of the Fourteenth International Conference on Artificial …, 2011
432011
Offering verified credentials in massive open online courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium)
A Maas, C Heather, C Do, R Brandman, D Koller, A Ng
Ubiquity 2014 (May), 1-11, 2014
362014
Sentiment expression conditioned by affective transitions and social forces
M Sudhof, A Goméz Emilsson, AL Maas, C Potts
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
282014
Unsupervised feature learning and deep learning
A Ng, J Ngiam, CY Foo, Y Mai, C Suen, A Coates, A Maas, A Hannun, ...
Technical report, Stanford University, 2013
262013
Word-level acoustic modeling with convolutional vector regression
AL Maas, SD Miller, TM O’neil, AY Ng, P Nguyen
Proc. ICML Workshop Representation Learn, 2012
232012
Recurrent neural network feature enhancement: The 2nd CHiME challenge
AL Maas, TM O’Neil, AY Hannun, AY Ng
Proceedings The 2nd CHiME Workshop on Machine Listening in Multisource …, 2013
222013
Increasing deep neural network acoustic model size for large vocabulary continuous speech recognition
AL Maas, AY Hannun, CT Lengerich, P Qi, D Jurafsky, AY Ng
arXiv preprint arXiv:1406.7806, 2014
192014
Retrofitting distributional embeddings to knowledge graphs with functional relations
BJ Lengerich, AL Maas, C Potts
arXiv preprint arXiv:1708.00112, 2017
142017
One-shot learning with bayesian networks
A Maas, C Kemp
Carnegie Mellon University, 2009
132009
Multi-dimensional sentiment analysis with learned representations
AL Maas, AY Ng, C Potts
Stanford University. Zugriff am 9, 2014, 2011
112011
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Articles 1–20