La-MAML: Look-ahead Meta Learning for Continual Learning

27 July 2020

Papers citing "La-MAML: Look-ahead Meta Learning for Continual Learning"

21 / 21 papers shown

Title
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization Jonathan Mei Alexander Moreno Luke Walters ODL 29 1 0 30 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 33 4 0 13 May 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 38 7 0 02 Feb 2023
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 29 2 0 28 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 34 69 0 23 Nov 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 31 2 0 03 Oct 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 18 8 0 23 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 29 11 0 12 Jul 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites Jingyang Zhang Peng Xue Ran Gu Yuning Gu Mianxin Liu Yongsheng Pan Zhiming Cui Jiawei Huang Lei Ma Dinggang Shen CLL 27 8 0 14 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 43 94 0 06 Jun 2022
Continual Feature Selection: Spurious Features in Continual Learning Timothée Lesort CLL 30 10 0 02 Mar 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
One Pass ImageNet Huiyi Hu Ang Li Daniele Calandriello Dilan Görür VLM 13 18 0 03 Nov 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 40 39 0 14 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning Danruo Deng Guangyong Chen Jianye Hao Qiong Wang Pheng-Ann Heng CLL AAML 22 77 0 09 Oct 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 30 18 0 03 Sep 2021
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 30 114 0 14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 419 11,715 0 09 Mar 2017