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Adaptive Task Sampling for Meta-Learning

Adaptive Task Sampling for Meta-Learning

17 July 2020
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Anton van den Hengel
S. Hoi
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Papers citing "Adaptive Task Sampling for Meta-Learning"

12 / 12 papers shown
Title
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
Qilong Yan
Yufeng Zhang
Jinghao Zhang
Jingpu Duan
Jian Yin
49
0
0
03 Jan 2025
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
47
7
0
28 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
47
4
0
20 Mar 2023
Concept Discovery for Fast Adapatation
Concept Discovery for Fast Adapatation
Shengyu Feng
Hanghang Tong
OffRL
28
0
0
19 Jan 2023
Hardness-guided domain adaptation to recognise biomedical named entities
  under low-resource scenarios
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
Ngoc Dang Nguyen
Lan Du
Wray L. Buntine
Changyou Chen
Richard Beare
23
7
0
11 Nov 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build
  Back Better with Semantic Task Sampling
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
Etienne Bennequin
Myriam Tami
Antoine Toubhans
C´eline Hudelot
VLM
11
4
0
10 May 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
28
75
0
07 Feb 2022
Meta-learning with an Adaptive Task Scheduler
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu-Xiang Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
30
45
0
26 Oct 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
716
0
13 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
338
11,684
0
09 Mar 2017
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
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