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How to train your MAML
v1v2v3 (latest)

How to train your MAML

22 October 2018
Antreas Antoniou
Harrison Edwards
Amos Storkey
ArXiv (abs)PDFHTML

Papers citing "How to train your MAML"

50 / 398 papers shown
Title
Evaluating Model-Agnostic Meta-Learning on MetaWorld ML10 Benchmark: Fast Adaptation in Robotic Manipulation Tasks
Evaluating Model-Agnostic Meta-Learning on MetaWorld ML10 Benchmark: Fast Adaptation in Robotic Manipulation Tasks
Sanjar Atamuradov
32
0
0
15 Nov 2025
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
Hao Wang
Licheng Pan
Yuan Lu
Zhichao Chen
Tianqiao Liu
Shuting He
Zhixuan Chu
Qingsong Wen
Haoxuan Li
Zhouchen Lin
AI4TS
113
0
0
28 Oct 2025
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
KC Santosh
Rodrigue Rizk
Longwei Wang
92
0
0
27 Oct 2025
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
141
0
0
21 Oct 2025
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Yang Zhang
Huiwen Yan
Mushuang Liu
100
0
0
30 Sep 2025
A$^2$M$^2$-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition
A2^22M2^22-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action RecognitionInternational Journal of Computer Vision (IJCV), 2025
Zilin Gao
Qilong Wang
Bingbing Zhang
Q. Hu
P. Li
124
0
0
22 Sep 2025
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
Mohammed Al-Habib
Zuping Zhang
Abdulrahman Noman
96
0
0
16 Sep 2025
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning
Rabin Dulal
Lihong Zheng
Ashad Kabir
96
0
0
14 Sep 2025
Cough Classification using Few-Shot Learning
Cough Classification using Few-Shot Learning
Yoga Disha Sendhil Kumar
Manas V Shetty
Sudip Vhaduri
64
0
0
11 Sep 2025
Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
Dustin Carrión-Ojeda
Stefan Roth
Simone Schaub-Meyer
139
0
0
31 Jul 2025
Flows and Diffusions on the Neural Manifold
Flows and Diffusions on the Neural Manifold
Daniel Saragih
Deyu Cao
Tejas Balaji
DiffMAI4CE
234
1
0
14 Jul 2025
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Detecting Sockpuppetry on Wikipedia Using Meta-LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Luc Raszewski
Christine De Kock
644
1
0
12 Jun 2025
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
Akash Gupta
Amos Storkey
Mirella Lapata
VLM
261
0
0
07 Jun 2025
Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning
Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning
Liang-Yeh Shen
Shi-Xin Fang
Yi-Cheng Lin
Huang-Cheng Chou
Hung-yi Lee
127
2
0
22 May 2025
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy PredictionComputer Vision and Pattern Recognition (CVPR), 2025
Dubing Chen
Huan Zheng
Jin Fang
Xingping Dong
Xianfei Li
Wenlong Liao
Tao He
Pai Peng
Jianbing Shen
519
3
0
17 Apr 2025
Meta-Continual Learning of Neural Fields
Meta-Continual Learning of Neural FieldsInternational Conference on Learning Representations (ICLR), 2025
Seungyoon Woo
Junhyeog Yun
Gunhee Kim
CLLAI4CE
281
2
0
08 Apr 2025
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
Max Gupta
Sunayana Rane
R. Thomas McCoy
Thomas L. Griffiths
DRLSSLOOD
884
0
0
29 Mar 2025
Riemannian Geometric-based Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
JuneYoung Park
YuMi Lee
Tae Joon Kim
Jang-Hwan Choi
204
0
0
14 Mar 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Yating Yu
Congqi Cao
Yifan Zhang
Yanning Zhang
VLM
294
4
0
27 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
316
7
0
22 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal GuidanceAAAI Conference on Artificial Intelligence (AAAI), 2025
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
294
5
0
20 Jan 2025
Meta-Learning for Physically-Constrained Neural System Identification
Meta-Learning for Physically-Constrained Neural System Identification
Ankush Chakrabarty
Gordon Wichern
Vedang M. Deshpande
Abraham P. Vinod
Karl Berntorp
C. Laughman
146
1
0
10 Jan 2025
Learning to Adapt to Low-Resource Paraphrase Generation
Learning to Adapt to Low-Resource Paraphrase GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhigen Li
Yanmeng Wang
Rizhao Fan
Ye Wang
Jianfeng Li
Shaojun Wang
306
6
0
22 Dec 2024
MLDGG: Meta-Learning for Domain Generalization on Graphs
MLDGG: Meta-Learning for Domain Generalization on GraphsKnowledge Discovery and Data Mining (KDD), 2024
Q. Tian
Chen Zhao
Minglai Shao
Wenjun Wang
Yujie Lin
Dong Li
OODAI4CE
356
1
0
19 Nov 2024
Generalizable Person Re-identification via Balancing Alignment and UniformityNeural Information Processing Systems (NeurIPS), 2024
Y. Cho
JaeYoon Kim
Woo Jae Kim
Junsik Jung
Sung-eui Yoon
CVBMOOD
322
7
0
18 Nov 2024
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Online Item Cold-Start Recommendation with Popularity-Aware Meta-LearningKnowledge Discovery and Data Mining (KDD), 2024
Yihao Luo
Yuezihan Jiang
Yinjie Jiang
Gaode Chen
Jiadong Wang
Kaigui Bian
Peiyi Li
Qi Zhang
240
8
0
18 Nov 2024
Meta-Learning with Heterogeneous Tasks
Meta-Learning with Heterogeneous Tasks
Zhaofeng Si
Shu Hu
Kaiyi Ji
Siwei Lyu
195
2
0
24 Oct 2024
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope
  Image Segmentation
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
Yao Shen
Ziwei Wei
Chunmeng Liu
Shuming Wei
Qi Zhao
Kaiyang Zeng
Guangyao Li
VLM
149
3
0
16 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can
  Acquire from the Tasks
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xinyue Liu
Yunlong Gao
Linlin Zong
Bo Xu
VLM
198
2
0
14 Oct 2024
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in
  Few-Shot Learning
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
177
0
0
04 Sep 2024
LeMON: Learning to Learn Multi-Operator Networks
LeMON: Learning to Learn Multi-Operator Networks
Jingmin Sun
Zecheng Zhang
Hayden Schaeffer
369
9
0
28 Aug 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot LearningACM Multimedia (MM), 2024
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Zhimeng Huang
Yuhua Li
Ruixuan Li
VLM
177
5
0
23 Aug 2024
Learning Unknowns from Unknowns: Diversified Negative Prototypes
  Generator for Few-Shot Open-Set Recognition
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionACM Multimedia (MM), 2024
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Yuhua Li
Ruixuan Li
UQCV
287
3
0
23 Aug 2024
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for
  Few-shot Learning between inter class and intra class
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra classInternational Conference on Artificial Neural Networks (ICANN), 2024
Qian Qiao
Yu Xie
Shaoyao Huang
Fanzhang Li
258
0
0
12 Aug 2024
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid
  Scene-Specific Adaptation
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation
Piraveen Sivakumar
Paul Janson
Jathushan Rajasegaran
Thanuja D. Ambegoda
212
1
0
09 Aug 2024
Learn To Learn More Precisely
Learn To Learn More Precisely
Runxi Cheng
Yongxian Wei
Xianglong He
Wanyun Zhu
Songsong Huang
Fei Richard Yu
Fei Ma
Chun Yuan
216
0
0
08 Aug 2024
Meta-Learning Neural Procedural Biases
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
261
1
0
12 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A
  Meta-Learning Approach
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
194
8
0
09 Jun 2024
Cooperative Meta-Learning with Gradient Augmentation
Cooperative Meta-Learning with Gradient AugmentationConference on Uncertainty in Artificial Intelligence (UAI), 2024
Jongyun Shin
Seunjin Han
Jangho Kim
VLM
159
3
0
07 Jun 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved
  In-Context Learning
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context LearningKnowledge Discovery and Data Mining (KDD), 2024
Sanchit Sinha
Yuguang Yue
Victor Soto
Mayank Kulkarni
Jianhua Lu
Aidong Zhang
LRM
237
12
0
19 May 2024
On-device Online Learning and Semantic Management of TinyML Systems
On-device Online Learning and Semantic Management of TinyML SystemsACM Transactions on Embedded Computing Systems (TECS), 2024
Haoyu Ren
Xue Li
Darko Anicic
Thomas Runkler
330
11
0
13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
257
3
0
11 May 2024
Bi-CL: A Reinforcement Learning Framework for Robots Coordination
  Through Bi-level Optimization
Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization
Zechen Hu
Daigo Shishika
Xuesu Xiao
Xuan Wang
208
5
0
23 Apr 2024
A (More) Realistic Evaluation Setup for Generalisation of Community
  Models on Malicious Content Detection
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
Ivo Verhoeven
Pushkar Mishra
Rahel Beloch
H. Yannakoudakis
Ekaterina Shutova
187
2
0
02 Apr 2024
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point
  Cloud Classification
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification
S. Ghose
Yang Wang
3DPC
148
0
0
01 Apr 2024
Prompt Learning via Meta-Regularization
Prompt Learning via Meta-Regularization
Jinyoung Park
Juyeon Ko
Hyunwoo J. Kim
VLMVPVLM
280
38
0
01 Apr 2024
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view
  Human Performance Capture and Rendering
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun
Rishabh Dabral
Pascal Fua
Christian Theobalt
Marc Habermann
3DH
270
9
0
27 Mar 2024
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks
Josh Bhagat Smith
Julie A. Adams
273
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0
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Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
321
1
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06 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach
Learning to Defer to a Population: A Meta-Learning Approach
Dharmesh Tailor
Aditya Patra
Rajeev Verma
Putra Manggala
Eric Nalisnick
324
21
0
05 Mar 2024
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