Learning where to learn: Gradient sparsity in meta and continual
learning

Learning where to learn: Gradient sparsity in meta and continual learning

27 October 2021

Seijin Kobayashi

Nicolas Zucchet

João Sacramento

Papers citing "Learning where to learn: Gradient sparsity in meta and continual learning"

15 / 15 papers shown

Title
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 92 3 0 17 Jan 2025
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 46 45 0 31 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition Umberto Michieli Mete Ozay 36 9 0 19 Jul 2023
Competitive plasticity to reduce the energetic costs of learning Mark C. W. van Rossum 18 2 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 45 15 0 04 Apr 2023
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
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 48 94 0 06 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 31 9 0 04 Jun 2022
Continual Feature Selection: Spurious Features in Continual Learning Timothée Lesort CLL 40 10 0 02 Mar 2022
Continual Learning via Local Module Composition O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 48 66 0 15 Nov 2021
New Insights on Reducing Abrupt Representation Change in Online Continual Learning Lucas Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 23 190 0 11 Apr 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 71 89 0 06 Mar 2020
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 159 236 0 04 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 196 640 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017