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← Authors

Niv Giladi

4 papers · 2020–2023 · 3 conferences · across top CS/AI conferences

Achievements

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+1 more ↓ 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) ❓ The Questioner
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Conferences

NIPS (2) CVPR (1) ICLR (1)

Top co-authors

Daniel Soudry (4) Elad Hoffer (3) Itay Hubara (1) Torsten Hoefler (1) Mor Shpigel Nacson (1) moran shkolnik (1) Zvika Ben-Haim (1) Yossi Matias (1) Sella Nevo (1) Ron Banner (1)

Keywords

stochastic gradient descent (1) deep neural network (1) partial differential equation (1) physics-informed learning (1) computational cost (1) gradient variance (1) large-batch training (1) batch augmentation (1) flood forecasting (1) terrain elevation (1)

Papers

DropCompute: simple and more robust distributed synchronous training via compute variance reduction NIPS 2023 Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling NIPS 2021 Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020 At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? ICLR 2020