Andrew L. Maas

发表

Maximum Entropy Inverse Reinforcement Learning

Anind K. Dey, J. Andrew Bagnell, Brian D. Ziebart, 2008, AAAI.

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

Andrew Y. Ng, Daphne Koller, Andrew L. Maas, 2014, UBIQ.

Lexicon-Free Conversational Speech Recognition with Neural Networks

Daniel Jurafsky, Andrew Y. Ng, Andrew L. Maas, 2015, NAACL.

Human Behavior Modeling with Maximum Entropy Inverse Optimal Control

Anind K. Dey, J. Andrew Bagnell, Brian D. Ziebart, 2009, AAAI Spring Symposium: Human Behavior Modeling.

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

Anind K. Dey, J. Andrew Bagnell, Brian D. Ziebart, 2008, UbiComp.

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

Daniel Jurafsky, Andrew Y. Ng, Awni Y. Hannun, 2014, ArXiv.

Rectifier Nonlinearities Improve Neural Network Acoustic Models

Andrew L. Maas, 2013 .

Learning Word Vectors for Sentiment Analysis

Christopher Potts, Andrew Y. Ng, Dan Huang, 2011, ACL.

Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations

Christopher Potts, Andrew L. Maas, Benjamin J. Lengerich, 2017, COLING.

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities

Christopher D. Manning, Richard Socher, Andrew L. Maas, 2011, AISTATS.

Building DNN acoustic models for large vocabulary speech recognition

Daniel Jurafsky, Andrew Y. Ng, Peng Qi, 2014, Comput. Speech Lang..

Recurrent Neural Networks for Noise Reduction in Robust ASR

Quoc V. Le, Patrick Nguyen, Andrew Y. Ng, 2012, INTERSPEECH.

Sentiment expression conditioned by affective transitions and social forces

Christopher Potts, Andrew L. Maas, Andrés Goméz Emilsson, 2014, KDD.

One-Shot Learning with Bayesian Networks

Andrew L. Maas, Charles Kemp, 2009 .

Multi-Dimensional Sentiment Analysis with Learned Representations

Andrew L. Maas, A. Ng, Christopher Potts, 2012 .

A Probabilistic Model for Semantic Word Vectors

Andrew L. Maas, A. Ng, 2010 .

Word-level Acoustic Modeling with Convolutional Vector Regression

Andrew L. Maas, Tyler M. O'Neil, A. Ng, 2012 .

RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT: THE 2nd CHIME CHALLENGE

Andrew L. Maas, Tyler M. O'Neil, A. Ng, 2013 .

RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT : THE 2 nd CHIME CHALLENGE

Andrew L. Maas, Tyler M. O'Neil, A. Ng, 2013 .

HarperValleyBank: A Domain-Specific Spoken Dialog Corpus pdf

Mike Wu, Andrew L. Maas, Jonathan Nafziger, 2020, ArXiv.

Learning Representations for Multi-Dimensional Sentiment Analysis

Andrew L. Maas, Ying Wang, 2011 .

Maximum Entropy Inverse Reinforcement Learning

Brian D. Ziebart, Andrew L. Maas, J. Bagnell, 2008, AAAI.

Learning Word Vectors for Sentiment Analysis

Andrew L. Maas, A. Ng, Raymond E. Daly, 2011, ACL.

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

Andrew L. Maas, Christopher T. Lengerich, A. Ng, 2014, arXiv.org.