Andrew Ng

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

Achievements

+13 more ↓

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15)

🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (15) 🌟 Keyword Trendsetter Combo (8) 👥 Mega-Team (69) 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 🗃️ Keyword Collector (61) 💎 Century Club (14) ❓ The Questioner 📈 Trend Setter 🔥 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