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

27 July 2020

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

24 / 24 papers shown

Title
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization Jonathan Mei Alexander Moreno Luke Walters ODL 31 1 0 30 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 35 4 0 13 May 2023
Continual Learning with Scaled Gradient Projection Gobinda Saha Kaushik Roy CLL 19 27 0 02 Feb 2023
Online Continual Learning via the Knowledge Invariant and Spread-out Properties Ya-nan Han Jian-wei Liu CLL 48 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 31 2 0 28 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 37 69 0 23 Nov 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 37 4 0 11 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation Xiaohan Zou Tong Lin CLL 33 2 0 03 Oct 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 23 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 38 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 29 8 0 14 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 45 94 0 06 Jun 2022
Continual Feature Selection: Spurious Features in Continual Learning Timothée Lesort CLL 34 10 0 02 Mar 2022
Mixture of basis for interpretable continual learning with distribution shifts Mengda Xu Sumitra Ganesh Pranay Pasula OOD 31 1 0 05 Jan 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 30 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 45 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 24 77 0 09 Oct 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning Krishnan Raghavan Prasanna Balaprakash CLL 59 30 0 28 Sep 2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision Zhong Ji Jin Li Qiang Wang Zhongfei Zhang CLL 32 18 0 03 Sep 2021
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 33 114 0 14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 493 11,727 0 09 Mar 2017