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Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning

8 October 2021
Sungyong Baik
Janghoon Choi
Heewon Kim
Dohee Cho
Jaesik Min
Kyoung Mu Lee
ArXivPDFHTML

Papers citing "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning"

14 / 14 papers shown
Title
Task-driven Image Fusion with Learnable Fusion Loss
Task-driven Image Fusion with Learnable Fusion Loss
Haowen Bai
Jiangshe Zhang
Zixiang Zhao
Yichen Wu
Lilun Deng
Yukun Cui
Tao Feng
Shuang Xu
83
0
0
04 Dec 2024
Reading ability detection using eye-tracking data with LSTM-based
  few-shot learning
Reading ability detection using eye-tracking data with LSTM-based few-shot learning
Nanxi Li
Hongjiang Wang
Zehui Zhan
38
0
0
13 Sep 2024
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
Haowen Bai
Zixiang Zhao
Jiangshe Zhang
Yichen Wu
Lilun Deng
Yukun Cui
Shuang Xu
Baisong Jiang
40
6
0
13 Dec 2023
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
40
42
0
31 Jul 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
37
15
0
04 Apr 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
35
5
0
30 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
33
5
0
18 Jan 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu
Shekhor Chanda
M. Hosseinzadeh
Zhi Liu
Yang Wang
VLM
29
7
0
18 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
29
11
0
19 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
Yuqing Hu
S. Pateux
Vincent Gripon
35
15
0
18 Sep 2022
Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile
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
28
9
0
04 Jun 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
32
45
0
17 Mar 2022
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 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
362
11,700
0
09 Mar 2017
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