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2001.00745
Cited By
Automated Relational Meta-learning
International Conference on Learning Representations (ICLR), 2020
3 January 2020
Huaxiu Yao
Xian Wu
Zhiqiang Tao
Yaliang Li
Bolin Ding
Ruirui Li
Ruoyao Xiao
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Papers citing
"Automated Relational Meta-learning"
35 / 35 papers shown
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Kristi Topollai
A. Choromańska
189
0
0
03 Oct 2025
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
497
0
0
10 Jul 2025
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jae-Jun Lee
Sung Whan Yoon
253
5
0
11 Mar 2024
Novel Representation Learning Technique using Graphs for Performance Analytics
Tarek Ramadan
Ankur Lahiry
Tanzima Z. Islam
GNN
AI4TS
203
4
0
19 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms
P. Agarwal
Shreya Singh
OOD
273
0
0
27 Dec 2023
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Yongxian Wei
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
357
4
0
23 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OOD
CLL
417
25
0
09 Nov 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
IEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
343
1
0
18 Oct 2023
Meta-learning in healthcare: A survey
SN Computer Science (SCS), 2023
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
469
19
0
05 Aug 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
392
3
0
08 Jun 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Wanli Li
T. Qian
Yi Song
Zeyu Zhang
Jiawei Li
Zhuang Chen
Lixin Zou
434
2
0
03 May 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Computer Vision and Pattern Recognition (CVPR), 2023
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
387
28
0
04 Apr 2023
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Transportation Research Part C: Emerging Technologies (TRC), 2023
Kehua Chen
Yuxuan Liang
Jindong Han
Siyuan Feng
Meixin Zhu
Hai Yang
AI4TS
271
18
0
23 Feb 2023
Association Graph Learning for Multi-Task Classification with Category Shifts
Neural Information Processing Systems (NeurIPS), 2022
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
Marcel Worring
OOD
336
10
0
10 Oct 2022
Revisiting Few-Shot Learning from a Causal Perspective
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Guoliang Lin
Yongheng Xu
Hanjiang Lai
Jian Yin
CML
496
9
0
28 Sep 2022
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Rakshith Subramanyam
Mark Heimann
Jayram S. Thathachar
Rushil Anirudh
Jayaraman J. Thiagarajan
CLL
148
6
0
25 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
473
641
0
13 May 2022
Adaptive Feature Interpolation for Low-Shot Image Generation
European Conference on Computer Vision (ECCV), 2021
M. Dai
Haibin Hang
Xiaoyang Guo
GAN
447
15
0
04 Dec 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Yin Hua
Wen Zhang
Yushan Zhu
Hongting Zhou
Zonggang Yuan
Changliang Xu
Hua-zeng Chen
349
81
0
27 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian
Yunmei Chen
X. Ye
Qingchao Zhang
271
33
0
02 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
346
7
0
27 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Huaxiu Yao
Yingxin Wu
Maruan Al-Shedivat
Eric Xing
VLM
CLIP
304
13
0
10 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
Zhong Ji
Zhishen Hou
Xiyao Liu
Yanwei Pang
Jungong Han
214
26
0
03 Sep 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
294
1
0
05 Jul 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
IEEE Transactions on Image Processing (TIP), 2021
Guanghao Yin
Wei Wang
Zehuan Yuan
Wei Ji
Dongdong Yu
Shouqian Sun
Tat-Seng Chua
Changhu Wang
323
19
0
08 Apr 2021
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
171
3
0
21 Dec 2020
Model-Agnostic Learning to Meta-Learn
A. Devos
Yatin Dandi
OOD
331
3
0
04 Dec 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Krishnateja Killamsetty
Changbin Li
Chengli Zhao
Rishabh K. Iyer
Feng Chen
317
12
0
13 Nov 2020
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Ruoyao Xiao
R. Socher
Caiming Xiong
192
29
0
22 Oct 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Jiatu Shi
Huaxiu Yao
Xian Wu
Tong Li
Zedong Lin
Tengfei Wang
Binqiang Zhao
263
1
0
01 Aug 2020
Improving Generalization in Meta-learning via Task Augmentation
International Conference on Machine Learning (ICML), 2020
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Ruoyao Xiao
458
96
0
26 Jul 2020
Graph-Based Continual Learning
International Conference on Learning Representations (ICLR), 2020
Binh Tang
David S. Matteson
BDL
CLL
253
41
0
09 Jul 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
938
2,546
0
11 Apr 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Chengyu Wang
Minghui Qiu
Yanjie Liang
Xiaofeng He
AI4CE
283
24
0
29 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
203
5
0
18 Mar 2020
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