EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization

19 June 2021

Papers citing "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"

9 / 9 papers shown

Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 91 9 0 28 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 42 0 0 21 Jan 2025
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 30 1 0 19 Jun 2023
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation Shuo Chen Yingjun Du Pascal Mettes Cees G. M. Snoek OffRL 36 2 0 16 Jun 2023
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 98 35 0 24 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 56 345 0 13 May 2022
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 45 21 0 17 Jun 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016