Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

Papers citing "Meta-Learning in Neural Networks: A Survey"

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Title
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Luísa Shimabucoro Timothy M. Hospedales Henry Gouk UQCV ELM 29 0 0 06 Jul 2023
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction Yunchuan Zhang Sangwoo Park Osvaldo Simeone 17 8 0 30 Jun 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction Zhuang Xiang Qiang Zhang Bin Wu Keyan Ding Yin Fang Hua-zeng Chen 33 11 0 29 Jun 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 23 0 0 29 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 29 1 0 23 Jun 2023
Memristive Reservoirs Learn to Learn Ruomin Zhu Jason Eshraghian Z. Kuncic 14 4 0 22 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 27 0 0 18 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 38 23 0 18 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 22 0 0 16 Jun 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis L. Dudziak Da Li Timothy M. Hospedales 35 3 0 15 Jun 2023
Active Representation Learning for General Task Space with Applications in Robotics Yifang Chen Ying Huang S. Du Kevin G. Jamieson Guanya Shi SSL 21 3 0 15 Jun 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation Ren Wang Haoliang Sun Qinglai Wei Xiushan Nie Yuling Ma Yilong Yin 23 0 0 14 Jun 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering Hai Ye Qizhe Xie Hwee Tou Ng 42 8 0 11 Jun 2023
In-Context Learning through the Bayesian Prism Madhuri Panwar Kabir Ahuja Navin Goyal BDL 39 39 0 08 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine Kevin Xie Fangyin Wei Chen-Hsuan Lin Towaki Takikawa Nicholas Sharp Nayeon Lee Xuan Li Sanja Fidler James Lucas DiffM 22 86 0 06 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning Seyyidahmed Lahmer Federico Mason Federico Chiariotti Andrea Zanella 23 1 0 06 Jun 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 29 31 0 06 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 22 15 0 05 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 40 44 0 31 May 2023
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden M. Lake CoGe OCL 32 8 0 30 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 32 15 0 25 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 30 4 0 24 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 31 5 0 23 May 2023
How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have Viktor Hangya Alexander Fraser 28 0 0 23 May 2023
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 25 0 0 20 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 28 8 0 18 May 2023
Physical Layer Authentication and Security Design in the Machine Learning Era T. M. Hoang Alireza Vahid H. Tuan L. Hanzo 30 18 0 16 May 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 31 10 0 15 May 2023
Deep-Unfolding for Next-Generation Transceivers Qiyu Hu Yunlong Cai Guangyi Zhang Guanding Yu Geoffrey Ye Li 25 4 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 40 5 0 12 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 33 5 0 12 May 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation Hugo Oliveira P. H. T. Gama Isabelle Bloch R. M. C. Junior 22 9 0 11 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 27 11 0 10 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 31 10 0 03 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 79 1 0 03 May 2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline Boxiang Wang Yunan "Charles" Wu Chenglong Ye MedIm OOD 21 1 0 30 Apr 2023
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning Yuanshi Gonga Xiaoqiao Wanga Chichun Zhou 35 5 0 27 Apr 2023
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere Wenwen Qiang Chuyuan Zhang Ye Ding Yuxuan Yang Fuchun Sun VLM 27 0 0 24 Apr 2023
Advances in Deep Concealed Scene Understanding Deng-Ping Fan Ge-Peng Ji Peng Xu Ming-Ming Cheng Daniel Gehrig Luc Van Gool 35 69 0 21 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Sang-Hoon Lee Seunghyun Lee B. Song 34 0 0 21 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 26 101 0 17 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 42 22 0 17 Apr 2023
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning Arun Palla Sriprabha Ramanarayanan Keerthi Ram M. Sivaprakasam MedIm 27 0 0 13 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP Mainak Singha Ankit Jha Bhupendra S. Solanki Shirsha Bose Biplab Banerjee VLM 24 27 0 12 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 27 16 0 11 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 28 4 0 11 Apr 2023