Matthew Blaschko
18 papers · 2008–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π
Conference Polyglot
(8)
π
Academic Marathon
(16)
π±
Topic Pioneer
π
Keyword Champion
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Trend Setter
π
Century Club
(18)
ποΈ
Keyword Collector
(55)
Conferences
NIPS (8)
AISTATS (2)
ICCV (2)
ICML (2)
ACL (1)
CONLL (1)
EMNLP (1)
WACV (1)
Top co-authors
Research topics
Keywords
loss function
(3)
medical text
(3)
self-supervised learning
(3)
biomedical semantic indexing
(2)
knowledge distillation
(2)
convex surrogate
(2)
semantic segmentation
(2)
text embedding
(2)
medical text grounding
(2)
3d human atla
(2)
image classification
(1)
spectral clustering
(1)
domain adaptation
(1)
clustering
(1)
feature learning
(1)
representation learning
(1)
model compression
(1)
multi-task learning
(1)
object detection
(1)
semi-supervised learning
(1)
Papers
Beyond Document Page Classification: Design, Datasets, and Challenges
WACV 2024
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
NIPS 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
NIPS 2023
Multimodal Distillation for Egocentric Action Recognition
ICCV 2023
Document Understanding Dataset and Evaluation (DUDE)
ICCV 2023
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
NIPS 2022
Learning to ground medical text in a 3D human atlas
CONLL 2020
Learning to ground medical text in a 3D human atlas
EMNLP 2020
Self-supervised context-aware COVID-19 document exploration through atlas grounding
ACL 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
AISTATS 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
NIPS 2013
Perceptron Learning of SAT
NIPS 2012
Simultaneous Object Detection and Ranking with Weak Supervision
NIPS 2010
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
NIPS 2009
Learning Taxonomies by Dependence Maximization
NIPS 2008