Martin Rapp
4 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Techniques
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Foundations
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
federated learning
(1)
neural network training
(1)
benchmark suite
(1)
hyperparameter optimization
(1)
distributed learning
(1)
distributed training
(1)
convolutional neural network
(1)
learning-augmented algorithm
(1)
competitive ratio
(1)
evaluation protocol
(1)
online scheduling
(1)
design space exploration
(1)
competitive algorithm
(1)
heterogeneous machine
(1)
speed-oblivious setting
(1)
resource-aware learning
(1)
filter dropout
(1)
heterogeneous system
(1)
unrelated machine
(1)
speed prediction
(1)
Papers
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
AutoML 2025
\textttconfopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
AutoML 2025
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
ICML 2023
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022