← Authors

Andrew Ng

14 papers · 2005–2020 · 6 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (30) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (15) 🌟 Keyword Trendsetter Combo (8) πŸ‘₯ Mega-Team (69) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (61) πŸ’Ž Century Club (14) ❓ The Questioner πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6)

Conferences

EMNLP (4) ICML (3) NAACL (3) NIPS (2) ACL (1) AISTATS (1)

Top co-authors

Richard Socher (4) Dan Jurafsky (3) Ziang Xie (3) Adam Coates (3) Christopher D. Manning (3) Jonathan Raiman (2) Shubho Sengupta (2) Christopher Manning (2) Mike Chrzanowski (2) Likai Wei (1)

Research topics

Applications (1)

Keywords

representation learning (1) image classification (1) zero-shot learning (1) link prediction (1) feature learning (1) transfer learning (1) object recognition (1) k-means clustering (1) medical imaging (1) data augmentation (1) grammatical error correction (1) speech synthesis (1) speech recognition (1) named entity recognition (1) text generation (1) parallel corpus (1) text representation (1) unsupervised feature learning (1) single layer networks (1) unsupervised learning (1)

Papers

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT EMNLP 2020
NGBoost: Natural Gradient Boosting for Probabilistic Prediction ICML 2020
Neural Text Style Transfer via Denoising and Reranking NAACL 2019
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction NAACL 2018
Deep Voice: Real-time Neural Text-to-Speech ICML 2017
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016
Lexicon-Free Conversational Speech Recognition with Neural Networks NAACL 2015
Zero-Shot Learning Through Cross-Modal Transfer NIPS 2013
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank EMNLP 2013
Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013
Improving Word Representations via Global Context and Multiple Word Prototypes ACL 2012
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks EMNLP 2008
Robust Textual Inference via Graph Matching EMNLP 2005