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Learning to Forget for Meta-Learning

Learning to Forget for Meta-Learning

13 June 2019
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
    CLL
    KELM
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Papers citing "Learning to Forget for Meta-Learning"

14 / 14 papers shown
Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
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
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
78
9
0
28 Jan 2025
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
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
32
42
0
31 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural
  network-based methods
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Tobias van der Werff
Maruf A. Dhali
Lambert Schomaker
33
0
0
11 Jul 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
29
1
0
19 Jun 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
22
15
0
04 Apr 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang
Kai Wang
Xingqian Xu
Zhangyang Wang
Humphrey Shi
DiffM
44
172
0
30 Mar 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
29
17
0
03 Jan 2023
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
24
21
0
21 Mar 2021
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
21
29
0
30 Nov 2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas L. Griffiths
6
4
0
27 Nov 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
11
7
0
16 Jul 2020
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
45
31
0
18 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
284
11,681
0
09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
275
2,888
0
15 Sep 2016
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