Frank Schneider
5 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
Venues
Top co-authors
Research topics
Keywords
hyperparameter optimization
(2)
stochastic optimization
(2)
benchmark evaluation
(1)
vision transformer
(1)
neural network training
(1)
deep learning
(1)
neural network optimization
(1)
model interpretability
(1)
hyperparameter tuning
(1)
second-order optimization
(1)
adaptive optimization
(1)
adam optimizer
(1)
hyperparameter selection
(1)
neural network
(1)
gradient distribution
(1)
deep learning optimizer
(1)
kronecker-factored approximate curvature
(1)
wall-clock time
(1)
training algorithm
(1)
training diagnostics
(1)
Papers
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
NeurIPS 2023
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
NeurIPS 2021
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
ICML 2021
DeepOBS: A Deep Learning Optimizer Benchmark Suite
ICLR 2019