Matthew B. Blaschko
28 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Academic Marathon (12)
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Academic Marathon
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(12)
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(5)
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Mega-Team
(53)
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(11)
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Prolific Year
(8)
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(26)
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The Questioner
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Conferences
CVPR (4)
ICML (4)
NIPS (4)
WACV (4)
MIDL (3)
EMNLP (2)
ICCV (2)
ICLR (2)
AAAI (1)
AISTATS (1)
UAI (1)
Top co-authors
Keywords
calibration error
(5)
federated learning
(3)
domain adaptation
(2)
knowledge distillation
(2)
uncertainty quantification
(2)
semantic segmentation
(2)
consistent estimator
(2)
computed tomography
(2)
contrastive learning
(1)
privacy attack
(1)
unsupervised learning
(1)
sequence labeling
(1)
embedding space
(1)
text classification
(1)
variational inference
(1)
domain generalization
(1)
representation learning
(1)
object detection
(1)
in-context learning
(1)
model calibration
(1)
Papers
A Framework for Real-Time Surgical Phase Recognition with Application to Robot-Assisted Partial Nephrectomy
WACV 2026
One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology
MIDL 2026
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
WACV 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
ICML 2025
AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution
WACV 2025
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
UAI 2025
LaSCal: Label-Shift Calibration without target labels
NIPS 2024
Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video
MIDL 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
EMNLP 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection
WACV 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
AISTATS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NIPS 2024
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
ICML 2023
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
CVPR 2023
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
AAAI 2022
R-GAP: Recursive Gradient Attack on Privacy
ICLR 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
ICML 2021
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
CVPR 2020
A Bayesian Optimization Framework for Neural Network Compression
ICCV 2019
The LovΓ‘sz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
CVPR 2018
Encoder Based Lifelong Learning
ICCV 2017
Learning to Discover Sparse Graphical Models
ICML 2017
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
NIPS 2016
Understanding Objects in Detail with Fine-Grained Attributes
CVPR 2014