iDARTS: Differentiable Architecture Search with Stochastic Implicit
Gradients

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients

21 June 2021

Xiaojun Chang

Ehsan Abbasnejad

Papers citing "iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients"

16 / 16 papers shown

Title
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 31 1 0 21 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization Masaru Isonuma Junichiro Mori Ichiro Sakata 29 0 0 16 Jun 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey Xiangning Xie Xiaotian Song Zeqiong Lv Gary G. Yen Weiping Ding Yizhou Sun 29 12 0 14 Jan 2023
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe W. Neiswanger P. Xie Eric P. Xing AI4CE 31 30 0 05 Jul 2022
$β$ -DARTS: Beta-Decay Regularization for Differentiable Architecture Search Peng Ye Baopu Li Yikang Li Tao Chen Jiayuan Fan Wanli Ouyang 16 101 0 03 Mar 2022
Deep invariant networks with differentiable augmentation layers Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 27 8 0 04 Feb 2022
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 35 21 0 23 Nov 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 26 28 0 13 Oct 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 25 0 0 12 Aug 2021
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 88 147 0 28 Jan 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 406 0 06 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016