Niv Giladi
4 papers · 2020–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
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The Questioner
Venues
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Research topics
Keywords
stochastic gradient descent
(2)
distributed training
(1)
learning rate
(1)
deep neural network
(1)
partial differential equation
(1)
physics-informed learning
(1)
asynchronous training
(1)
computational cost
(1)
gradient variance
(1)
large batch training
(1)
dynamical stability
(1)
batch augmentation
(1)
synchronous training
(1)
flood forecasting
(1)
terrain elevation
(1)
straggling worker
(1)
compute variance
(1)
minima selection
(1)
Papers
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
NeurIPS 2023
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
NeurIPS 2021
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
ICLR 2020
Augment Your Batch: Improving Generalization Through Instance Repetition
CVPR 2020