Andrew Ng
14 papers · 2005–2020 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Trendsetter Combo
(8)
π₯
Mega-Team Β· Legion
π§¬
Topic Evolution
π
Keyword Champion
π§
Keyword Pioneer
β
The Questioner
ποΈ
Keyword Collector
(64)
π
Century Club Β· Bronze
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Trend Setter
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Application Areas
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Clinical
(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
Reasoning With Neural Tensor Networks for Knowledge Base Completion
NeurIPS 2013
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
EMNLP 2013
Zero-Shot Learning Through Cross-Modal Transfer
NeurIPS 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 β But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
EMNLP 2008
Robust Textual Inference via Graph Matching
EMNLP 2005