Thomas Fuchs
5 papers · 2013–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Computer Vision
(2)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
whole slide image
(2)
image classification
(1)
semantic segmentation
(1)
variational inference
(1)
transfer learning
(1)
ensemble learning
(1)
information bottleneck
(1)
multi-instance learning
(1)
object detection
(1)
weakly supervised learning
(1)
feature representation
(1)
sparse feature selection
(1)
side information
(1)
gaussian copula
(1)
convolutional neural network
(1)
contrastive loss
(1)
histopathology image
(1)
contrastive representation learning
(1)
decision stump
(1)
sparse compression
(1)
Papers
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
MIDL 2023
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss
MIDL 2021
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations
MLHC 2016
Sparse meta-Gaussian information bottleneck
ICML 2014
Quickly Boosting Decision Trees – Pruning Underachieving Features Early
ICML 2013