Niv Giladi - RankMe

12 papers A* 4Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tensor-Parallelism with Partially Synchronized Activations. CoRR Itay Lamprecht, Asaf Karnieli, Yair Hanani, Niv Giladi, Daniel Soudry
2023	A*	`conf`	DropCompute: simple and more robust distributed synchronous training via compute variance reduction. NeurIPS Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry
2023	J	`jnl`	DropCompute: simple and more robust distributed synchronous training via compute variance reduction. CoRR Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry
2022	J	`jnl`	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. Sensors Dan Levi, Liran Gispan, Niv Giladi, Ethan Fetaya
2021	J	`jnl`	Flood forecasting with machine learning models in an operational framework. CoRR Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias
2021	A*	`conf`	Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
2021	J	`jnl`	Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
2020	A*	`conf`	At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? ICLR Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry
2020	A*	`conf`	Augment Your Batch: Improving Generalization Through Instance Repetition. CVPR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? CoRR Niv Giladi, Mor Shpigel Nacson, Elad Hoffer, Daniel Soudry
2019	J	`jnl`	Augment your batch: better training with larger batches. CoRR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. CoRR Dan Levi, Liran Gispan, Niv Giladi, Ethan Fetaya