Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

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

50 / 831 papers shown

Title
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 26 2 0 13 Oct 2023
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation Yuanyuan Liang Jianing Wang Hanlun Zhu Lei Wang Weining Qian Yunshi Lan LRM ReLM 21 36 0 12 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 0 09 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 21 14 0 08 Oct 2023
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems Arvind Renganathan Rahul Ghosh A. Khandelwal Vipin Kumar 22 0 0 07 Oct 2023
Conceptual Framework for Autonomous Cognitive Entities David Shapiro Wangfan Li Manuel Delaflor Carlos Toxtli 44 1 0 03 Oct 2023
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks Tao Li Yunian Pan Quanyan Zhu AAML 21 5 0 02 Oct 2023
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning Saaketh Medepalli Naren Doraiswamy 32 1 0 30 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 19 0 0 27 Sep 2023
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis Angelo Jovin Yamachui Sitcheu Nils Friederich Simon Baeuerle Oliver Neumann Markus Reischl Ralf Mikut 13 2 0 27 Sep 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 32 33 0 21 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 36 17 0 20 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 28 13 0 19 Sep 2023
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning Meryem M'hamdi Jonathan May Franck Dernoncourt Trung Bui Seunghyun Yoon FedML 29 1 0 15 Sep 2023
Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya Georgina Hall Brandon Amos Bartolomeo Stellato 36 12 0 14 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Fei Dou Jin Ye Geng Yuan Qin Lu Wei Niu ... Hongyue Sun Yunli Shao Changying Li Tianming Liu Wenzhan Song AI4CE 37 29 0 14 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification Rongsheng Li Yong Li Hai-Tao Zheng Chaiyut Luoyiching Hai-Tao Zheng Nannan Zhou Hanjing Su RALM 20 2 0 10 Sep 2023
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data S. Shin Namwoo Kang OOD AI4CE 20 2 0 08 Sep 2023
Adaptive Growth: Real-time CNN Layer Expansion Yunjie Zhu Yunhao Chen 25 0 0 06 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation Yifan Pu Yizeng Han Yulin Wang Junlan Feng Chao Deng Gao Huang 29 27 0 01 Sep 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Wenwen Qiang Changwen Zheng Jingyao Wang Changwen Zheng SSL 17 1 0 28 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification B. Xi Kevin Scaria Paulo Shakarian Paulo Shakarian 34 2 0 28 Aug 2023
FAM: fast adaptive federated meta-learning Indrajeet Kumar Sinha Shekhar Verma Krishna Pratap Singh FedML 35 0 0 26 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
From system models to class models: An in-context learning paradigm Marco Forgione F. Pura Dario Piga 35 12 0 25 Aug 2023
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas Peifeng Ma Li Chen Chang Yu Qinggaozi Zhu Yuling Ding 25 1 0 23 Aug 2023
Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries Noel Ngu Nathaniel Lee Paulo Shakarian 21 4 0 22 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 24 19 0 18 Aug 2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Feiran Yang Ziying Yu Wenwu Wang Mark D. Plumbley J. Yang VLM 21 6 0 17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 29 1 0 16 Aug 2023
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning Zichao Meng Ye Guo Hongbin Sun 8 4 0 15 Aug 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun Fan Wang Jun Shu Haifeng Wang Li Meng C. Lian 30 1 0 13 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing Milad Ramezankhani A. Milani PINN 24 4 0 12 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 24 8 0 09 Aug 2023
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model Xin Jin Jianqiang Xiao Linghao Han Chunle Guo Xialei Liu Chongyi Li Ruixun Zhang 38 3 0 07 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 25 8 0 05 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 28 8 0 31 Jul 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation Yingbo Zhou Zhihao Yue Yutong Ye Pengyu Zhang Xian Wei Mingsong Chen 34 1 0 27 Jul 2023
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation Junwon Seo Taekyung Kim Seongyong Ahn K. Kwak 33 0 0 26 Jul 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction Zehao Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang ... C. Cai Zhongze Chen D. Guo Guang Yang X. Qu AI4CE 42 14 0 25 Jul 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning Yunhao Ge Yuecheng Li Shuo Ni Jiaping Zhao Ming Yang Laurent Itti CLL 25 11 0 21 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 19 8 0 19 Jul 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 36 5 0 19 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 0 18 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks Sriprabha Ramanarayanan Arun Palla Keerthi Ram M. Sivaprakasam 18 10 0 13 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 44 0 0 11 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
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