One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning

27 April 2021

Papers citing "One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning"

10 / 10 papers shown

Title
Multiple Importance Sampling for Stochastic Gradient Estimation Corentin Salaün Xingchang Huang Iliyan Georgiev Niloy J. Mitra Gurprit Singh 56 1 0 22 Jul 2024
Accelerating Deep Learning by Focusing on the Biggest Losers Angela H. Jiang Daniel L.-K. Wong Giulio Zhou D. Andersen J. Dean ... Gauri Joshi M. Kaminsky M. Kozuch Zachary Chase Lipton Padmanabhan Pillai 35 120 0 02 Oct 2019
Bayesian Batch Active Learning as Sparse Subset Approximation Robert Pinsler Jonathan Gordon Eric T. Nalisnick José Miguel Hernández-Lobato UQCV 16 132 0 06 Aug 2019
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 51 137 0 05 Feb 2018
Learning Tree-based Deep Model for Recommender Systems Ziru Xu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li Kun Gai 48 290 0 08 Jan 2018
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 44 127 0 13 Oct 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 234 14,196 0 23 Feb 2016
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 62 299 0 19 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 174 3,777 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 216 13,079 0 12 Mar 2015