Andrew Y. Ng
43 papers · 2003–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 21% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Andrew Y. Ng?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Pranav Rajpurkar, Mark Endo, Emily Wen
7 papers
· 2019–2022
· MIDL, MLHC, AAAI
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MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
MIDL 2022
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
MLHC 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
MIDL 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
MLHC 2021
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
MIDL 2021
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
MIDL 2021
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI 2019
10 papers whose co-authors appear nowhere else under this name
Spatiotemporal Pyramid Flow Matching for Climate Emulation
CVPR 2026
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
MIDL 2024
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
End-To-End People Detection in Crowded Scenes
CVPR 2016
Deep Learning of Invariant Features via Simulated Fixations in Video
NeurIPS 2012
Learning Word Vectors for Sentiment Analysis
ACL 2011
Efficient multiple hyperparameter learning for log-linear models
NeurIPS 2007
Map-Reduce for Machine Learning on Multicore
NeurIPS 2006
Robotic Grasping of Novel Objects
NeurIPS 2006
Latent Dirichlet Allocation
JMLR 2003