Andrew L. Maas
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Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
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
Maximum entropy inverse reinforcement learning.
BD Ziebart, AL Maas, JA Bagnell, AK Dey
Aaai 8, 1433-1438, 2008
Recurrent neural networks for noise reduction in robust asr.
AL Maas, QV Le, TM O'Neil, O Vinyals, P Nguyen, AY Ng
Interspeech 2012, 22-25, 2012
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
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
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
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
Methods, apparatus and systems for annotation of text documents
C Potts, E Lin, A Maas, A Itharaju, K Reschke, J Vincent
US Patent 11,263,391, 2022
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
A probabilistic model for semantic word vectors
AL Maas, AY Ng
NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 1-8, 2010
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
Spectral chinese restaurant processes: Nonparametric clustering based on similarities
R Socher, A Maas, C Manning
Proceedings of the Fourteenth International Conference on Artificial …, 2011
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
Retrofitting distributional embeddings to knowledge graphs with functional relations
BJ Lengerich, AL Maas, C Potts
arXiv preprint arXiv:1708.00112, 2017
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
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
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
Sequence to sequence transformations for speech synthesis via recurrent neural networks
DLW Hall, D Klein, D Roth, L Gillick, A Maas, S Wegmann
US Patent App. 15/792,236, 2018
One-shot learning with bayesian networks
A Maas, C Kemp
Carnegie Mellon University, 2009
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