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1903.03096
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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
7 March 2019
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
Kelvin Xu
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
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Papers citing
"Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples"
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Title
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
Ruixiao Shi
Fu Feng
Yucheng Xie
Jing Wang
Xin Geng
29
0
0
13 May 2025
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
Donggyun Kim
Chanwoo Kim
Seunghoon Hong
24
0
0
21 Apr 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Chenghao Xiao
Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
65
0
0
18 Apr 2025
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Dahyun Kang
Ahmet Iscen
Eunchan Jo
Sua Choi
Minsu Cho
Cordelia Schmid
VLM
KELM
OffRL
30
0
0
08 Apr 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Qinhao Zhou
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
48
0
0
28 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning
Fady Rezk
Royson Lee
Henry Gouk
Timothy M. Hospedales
Minyoung Kim
53
0
0
10 Feb 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Y. Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
144
0
0
10 Jan 2025
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran
Alexander Lynch
S. Brockman
Brandon RichardWebster
Dawei Du
A. Hoogs
Christopher Funk
ObjD
VLM
73
0
0
20 Dec 2024
Neuromodulated Meta-Learning
Wenwen Qiang
Huijie Guo
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
61
0
0
11 Nov 2024
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes
Ivan Kukanov
Janne Laakkonen
Tomi Kinnunen
Ville Hautamaki
AAML
34
0
0
27 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
54
2
0
18 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Hongduan Tian
Feng Liu
Zhanke Zhou
Tongliang Liu
Chengqi Zhang
Bo Han
VLM
37
1
0
16 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck
Shikha Surana
Manus McAuliffe
Oliver Bent
Thomas D. Barrett
Juan Jose Garau Luis
Paul Duckworth
AI4CE
30
0
0
10 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning
Shiguang Wu
Yaqing Wang
Yatao Bian
Quanming Yao
CLL
28
0
0
08 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification
Xuanyu Zhuang
Geoffroy Peeters
Gaël Richard
18
0
0
04 Oct 2024
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures
Subash Timilsina
Sagar Shrestha
Xiao Fu
23
0
0
28 Sep 2024
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
48
1
0
13 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti
Martin Jaggi
25
1
0
05 Sep 2024
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning
Raphael Lafargue
Luke Smith
Franck Vermet
Mathias Löwe
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
04 Sep 2024
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning
Bingchen Yan
27
0
0
28 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
56
1
0
19 Aug 2024
Learn To Learn More Precisely
Runxi Cheng
Yongxian Wei
Xianglong He
Wanyun Zhu
Songsong Huang
Fei Richard Yu
Fei Ma
Chun Yuan
44
0
0
08 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
42
0
0
04 Aug 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
Hansi Yang
James T. Kwok
58
0
0
19 Jun 2024
A Unified View of Abstract Visual Reasoning Problems
Mikołaj Małkiński
Jacek Mańdziuk
30
0
0
16 Jun 2024
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning
Janghoon Han
Changho Lee
Joongbo Shin
Stanley Jungkyu Choi
Honglak Lee
Kynghoon Bae
ALM
24
0
0
13 Jun 2024
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
44
1
0
12 Jun 2024
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
Chang Tian
Wenpeng Yin
Dan Li
Marie-Francine Moens
45
4
0
08 Jun 2024
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
Georgia Markham
M. Balamurali
Andrew J. Hill
46
1
0
03 Jun 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian
Feng Liu
Tongliang Liu
Bo Du
Yiu-ming Cheung
Bo Han
29
1
0
29 May 2024
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
64
0
0
25 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
Chenqi Li
Timothy Denison
Tingting Zhu
22
1
0
03 May 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)
S. Woerner
Arthur Jaques
Christian F. Baumgartner
VLM
21
2
0
24 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
47
1
0
12 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Marcus Klasson
Arno Solin
45
0
0
11 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
Selim Furkan Tekin
Fatih Ilhan
Tiansheng Huang
Sihao Hu
Ka-Ho Chow
Margaret Loper
Ling Liu
50
1
0
05 Apr 2024
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
Ivo Verhoeven
Pushkar Mishra
Rahel Beloch
H. Yannakoudakis
Ekaterina Shutova
21
0
0
02 Apr 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
Eva Pachetti
Sotirios A. Tsaftaris
Sara Colantonio
35
2
0
26 Mar 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
Xingyu Zhu
Shuo Wang
Jinda Lu
Yanbin Hao
Haifeng Liu
Xiangnan He
32
9
0
23 Mar 2024
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
Guohao Sun
Can Qin
Jiamian Wang
Zeyuan Chen
Ran Xu
Zhiqiang Tao
MLLM
VLM
LRM
32
9
0
17 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
40
1
0
13 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage
Jae-Jun Lee
Sung Whan Yoon
22
1
0
11 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
29
1
0
06 Mar 2024
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
Shivanand Venkanna Sheshappanavar
Tejas Anvekar
Shivanand Kundargi
Yufan Wang
Chandra Kambhamettu
22
3
0
12 Feb 2024
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition
H. Nghiem
Umang Gupta
Fred Morstatter
25
4
0
05 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
29 Jan 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
Naeem Paeedeh
Mahardhika Pratama
M. A. Ma'sum
Wolfgang Mayer
Zehong Cao
Ryszard Kowlczyk
31
9
0
25 Jan 2024
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
Reda Bensaid
Vincent Gripon
Franccois Leduc-Primeau
Lukas Mauch
G. B. Hacene
Fabien Cardinaux
VLM
39
7
0
20 Jan 2024
OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
Haowen Wang
Tao Sun
Kaixiang Ji
Jian Wang
Cong Fan
Jinjie Gu
18
1
0
19 Jan 2024
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