Randomized Automatic Differentiation

20 July 2020

Papers citing "Randomized Automatic Differentiation"

7 / 7 papers shown

Title
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 17 0 0 08 Sep 2022
Memory-Efficient Backpropagation through Large Linear Layers Daniel Bershatsky A. Mikhalev A. Katrutsa Julia Gusak D. Merkulov Ivan V. Oseledets 11 4 0 31 Jan 2022
Scaling Structured Inference with Randomization Yao Fu John P. Cunningham Mirella Lapata BDL 32 2 0 07 Dec 2021
No frame left behind: Full Video Action Recognition X. Liu S. Pintea F. Karimi Nejadasl O. Booij J. C. V. Gemert 19 40 0 29 Mar 2021
Reservoir Transformers Sheng Shen Alexei Baevski Ari S. Morcos Kurt Keutzer Michael Auli Douwe Kiela 27 17 0 30 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016