Matthew B. Blaschko
29 papers · 2014–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Matthew B. Blaschko?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Junyi Zhu, Xingchen Ma, Maxim Berman
12 papers
· 2018–2026
· CVPR, ICLR, NeurIPS
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Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
WACV 2026
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NeurIPS 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?
NeurIPS 2024
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
CVPR 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
ICML 2023
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
ICML 2021
R-GAP: Recursive Gradient Attack on Privacy
ICLR 2021
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
CVPR 2020
A Bayesian Optimization Framework for Neural Network Compression
ICCV 2019
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
CVPR 2018