List of works - Andrew Y. Ng

An Application of Reinforcement Learning to Aerobatic Helicopter Flight ⬇️

scientific article published in January 2007

Apprenticeship learning via inverse reinforcement learning

Approximate Inference A lgorithms for Two-Layer Bayesian Networks ⬇️

scientific article published in January 2000

Approximate Planning in Large POMDPs via Reusable Trajectories ⬇️

Autonomous Helicopter Flight via Reinforcement Learning ⬇️

scientific article published in January 2004

Classification with Hybrid Generative/Discriminative Models ⬇️

scientific article published in January 2004

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

scholarly article published 2009

Coursera

online education technology company

Deep Learning of Invariant Features via Simulated Fixations in Video ⬇️

scientific article published in January 2012

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin ⬇️

academic journal article

Deep Speech: Scaling up end-to-end speech recognition

academic journal article

Distance Metric Learning with Application to Clustering with Side-Information ⬇️

scientific article published in January 2003

Efficient multiple hyperparameter learning for log-linear models ⬇️

Efficient sparse coding algorithms ⬇️

scientific article published in January 2007

Emergence of Object-Selective Features in Unsupervised Feature Learning ⬇️

scientific article published in January 2012

Fast Gaussian Process Regression using KD-Trees ⬇️

scientific article published in January 2006

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

scientific article

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion ⬇️

scientific article published in January 2008

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ⬇️

scientific article published in January 2011

Improving Word Representations via Global Context and Multiple Word Prototypes ⬇️

scientific article published in July 2012

Large Scale Distributed Deep Networks ⬇️

scientific article published in January 2012

Large-scale deep unsupervised learning using graphics processors

article

Latent Dirichlet Allocation ⬇️

scientific article published in 2003

Learning Depth from Single Monocular Images ⬇️

scientific article published in January 2006

Learning Syntactic Patterns for Automatic Hypernym Discovery ⬇️

Learning first-order Markov models for control ⬇️

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

article

Learning vehicular dynamics, with application to modeling helicopters ⬇️

scientific article published in January 2006

Learning word vectors for sentiment analysis

scientific article published on June 2011

Make3D: learning 3D scene structure from a single still image

scientific article published in May 2009

Map-Reduce for Machine Learning on Multicore ⬇️

scientific article published in January 2007

Measuring Invariances in Deep Networks ⬇️

scientific article published in January 2009

Neural Language Correction with Character-Based Attention ⬇️

On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes ⬇️

On Local Rewards and Scaling Distributed Reinforcement Learning ⬇️

scientific article published in January 2006

On Spectral Clustering: Analysis and an algorithm ⬇️

Online Bounds for Bayesian Algorithms ⬇️

scientific article published in January 2005

Policy Search by Dynamic Programming ⬇️

scientific article published in January 2004

Policy Search via Density Estimation ⬇️

Reading Digits in Natural Images with Unsupervised Feature Learning ⬇️

scientific article

Reasoning With Neural Tensor Networks for Knowledge Base Completion ⬇️

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank ⬇️

scientific article (publication date: 2013)

Robotic Grasping of Novel Objects ⬇️

scientific article published in January 2007

Selecting Receptive Fields in Deep Networks ⬇️

scientific article published in January 2011

Semi-supervised recursive autoencoders for predicting sentiment distributions

Sparse Filtering ⬇️

scientific article published in January 2011

Sparse deep belief net model for visual area V2 ⬇️

scientific article published in January 2008

Stable adaptive control with online learning ⬇️

scientific article published in January 2005

Text detection and character recognition in scene images with unsupervised feature learning

academic journal article

The Online Revolution: Learning Without Limits

scientific article published on 13 February 2024

Tiled convolutional neural networks ⬇️

scholarly article by Jiquan Ngiam et al published 2010 in Advances in Neural Information Processing Systems 23

Transfer learning for text classification ⬇️

scientific article published in January 2006

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

scientific article (publication date: May 2016)

Unsupervised feature learning for audio classification using convolutional deep belief networks ⬇️

scientific article published in January 2009

Unsupervised learning models of primary cortical receptive fields and receptive field plasticity ⬇️

scientific article published in January 2011

List of works by Andrew Y. Ng

An Application of Reinforcement Learning to Aerobatic Helicopter Flight ⬇️

Apprenticeship learning via inverse reinforcement learning

Approximate Inference A lgorithms for Two-Layer Bayesian Networks ⬇️

Approximate Planning in Large POMDPs via Reusable Trajectories ⬇️

Autonomous Helicopter Flight via Reinforcement Learning ⬇️

Classification with Hybrid Generative/Discriminative Models ⬇️

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Coursera

Deep Learning of Invariant Features via Simulated Fixations in Video ⬇️

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin ⬇️

Deep Speech: Scaling up end-to-end speech recognition

Distance Metric Learning with Application to Clustering with Side-Information ⬇️

Efficient multiple hyperparameter learning for log-linear models ⬇️

Efficient sparse coding algorithms ⬇️

Emergence of Object-Selective Features in Unsupervised Feature Learning ⬇️

Fast Gaussian Process Regression using KD-Trees ⬇️

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

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion ⬇️

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning ⬇️

Improving Word Representations via Global Context and Multiple Word Prototypes ⬇️

Large Scale Distributed Deep Networks ⬇️

Large-scale deep unsupervised learning using graphics processors

Latent Dirichlet Allocation ⬇️

Learning Depth from Single Monocular Images ⬇️

Learning Syntactic Patterns for Automatic Hypernym Discovery ⬇️

Learning first-order Markov models for control ⬇️

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

Learning vehicular dynamics, with application to modeling helicopters ⬇️

Learning word vectors for sentiment analysis

Make3D: learning 3D scene structure from a single still image

Map-Reduce for Machine Learning on Multicore ⬇️

Measuring Invariances in Deep Networks ⬇️

Neural Language Correction with Character-Based Attention ⬇️

On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes ⬇️

On Local Rewards and Scaling Distributed Reinforcement Learning ⬇️

On Spectral Clustering: Analysis and an algorithm ⬇️

Online Bounds for Bayesian Algorithms ⬇️

Policy Search by Dynamic Programming ⬇️

Policy Search via Density Estimation ⬇️

Reading Digits in Natural Images with Unsupervised Feature Learning ⬇️

Reasoning With Neural Tensor Networks for Knowledge Base Completion ⬇️

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank ⬇️

Robotic Grasping of Novel Objects ⬇️

Selecting Receptive Fields in Deep Networks ⬇️

Semi-supervised recursive autoencoders for predicting sentiment distributions

Sparse Filtering ⬇️

Sparse deep belief net model for visual area V2 ⬇️

Stable adaptive control with online learning ⬇️

Text detection and character recognition in scene images with unsupervised feature learning

The Online Revolution: Learning Without Limits

Tiled convolutional neural networks ⬇️

Transfer learning for text classification ⬇️

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Unsupervised feature learning for audio classification using convolutional deep belief networks ⬇️

Unsupervised learning models of primary cortical receptive fields and receptive field plasticity ⬇️

Zero-Shot Learning Through Cross-Modal Transfer ⬇️