Truncated Back-propagation for Bilevel Optimization

Truncated Back-propagation for Bilevel Optimization

25 October 2018

Amirreza Shaban

Papers citing "Truncated Back-propagation for Bilevel Optimization"

16 / 166 papers shown

Title
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 6 129 0 07 Jun 2020
AutoHAS: Efficient Hyperparameter and Architecture Search Xuanyi Dong Mingxing Tan Adams Wei Yu Daiyi Peng Bogdan Gabrys Quoc V. Le TPM 16 23 0 05 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson Jordan T. Ash Geoffrey Roeder Tianju Xue Ryan P. Adams AI4CE 20 15 0 13 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 64 1,935 0 11 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning Yifan Jiang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 11 188 0 01 Apr 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 4 42 0 10 Feb 2020
Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra Jihun Hamm 24 45 0 08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 27 402 0 06 Nov 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 19 844 0 10 Sep 2019
Efficient Optimization of Loops and Limits with Randomized Telescoping Sums Alex Beatson Ryan P. Adams 9 21 0 16 May 2019
Learning to Find Common Objects Across Few Image Collections Amirreza Shaban Amir M. Rahimi Shray Bansal Stephen Gould Byron Boots Richard I. Hartley 27 1 0 29 Apr 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 30 248 0 22 Feb 2019
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 20 121 0 31 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017