Michael C. Hughes
9 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (7) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π£
Hot Topic Early Bird
ποΈ
Keyword Collector
(50)
Conferences
MLHC (4)
AISTATS (1)
CVPR (1)
ICML (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
semi-supervised learning
(3)
aortic stenosis
(2)
bayesian nonparametrics
(1)
dirichlet process
(1)
attention mechanism
(1)
variational inference
(1)
text mining
(1)
clinical prediction
(1)
self-supervised learning
(1)
medical imaging
(1)
latent dirichlet allocation
(1)
topic modeling
(1)
medical image classification
(1)
image denoising
(1)
multi-task learning
(1)
multiple instance learning
(1)
patch-based model
(1)
gradient descent
(1)
hierarchical model
(1)
contrastive learning
(1)
Papers
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
CVPR 2024
Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data
AISTATS 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
MLHC 2023
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
MLHC 2021
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
MLHC 2021
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
MLHC 2019
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
IJCAI 2017
Refinery: An Open Source Topic Modeling Web Platform
JMLR 2017
From Patches to Images: A Nonparametric Generative Model
ICML 2017