Matthew Blaschko
17 papers · 2008–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Full
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Keyword Pioneer
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Trend Setter
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Renaissance Researcher
(8)
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Century Club Β· Bronze
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(115)
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(10)
Learning Types
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Optimization & Theory
(6)
Computer Vision
(4)
Mathematics & Optimization
(4)
Analysis
(4)
Core AI
(4)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Applications
(3)
Clinical
(3)
Mathematics
(3)
Keywords
loss function
(3)
nonparametric test
(2)
convex surrogate
(2)
self-supervised learning
(2)
medical text
(2)
semantic segmentation
(2)
knowledge distillation
(2)
image classification
(1)
representation learning
(1)
model compression
(1)
feature learning
(1)
spectral clustering
(1)
domain adaptation
(1)
clustering
(1)
multi-task learning
(1)
semi-supervised learning
(1)
neural network compression
(1)
model calibration
(1)
object detection
(1)
uncertainty quantification
(1)
Papers
Beyond Document Page Classification: Design, Datasets, and Challenges
WACV 2024
Document Understanding Dataset and Evaluation (DUDE)
ICCV 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
NeurIPS 2023
Multimodal Distillation for Egocentric Action Recognition
ICCV 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
NeurIPS 2023
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
NeurIPS 2022
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
AISTATS 2020
Learning to ground medical text in a 3D human atlas
CoNLL 2020
Self-supervised context-aware COVID-19 document exploration through atlas grounding
ACL 2020
A Convex Surrogate Operator for General Non-Modular Loss Functions
AISTATS 2016
A low variance consistent test of relative dependency
ICML 2015
Learning Submodular Losses with the Lovasz Hinge
ICML 2015
B-test: A Non-parametric, Low Variance Kernel Two-sample Test
NeurIPS 2013
Perceptron Learning of SAT
NeurIPS 2012
Simultaneous Object Detection and Ranking with Weak Supervision
NeurIPS 2010
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
NeurIPS 2009
Learning Taxonomies by Dependence Maximization
NeurIPS 2008