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
Meta-Learning Initializations for Interactive Medical Image Registration Zachary Michael Cieman Baum Yipeng Hu D. Barratt 31 13 0 27 Oct 2022
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 24 0 0 26 Oct 2022
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning Anastasios Foliadis M. H. C. García R. Stirling-Gallacher Reiner S. Thomä 16 9 0 26 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 61 32 0 24 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 34 6 0 22 Oct 2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning Fanghua Ye Xi Wang Jie Huang Shenghui Li Sam Stern Emine Yilmaz 31 9 0 22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 26 0 0 22 Oct 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 32 210 0 19 Oct 2022
Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames Ning Han Xun Yang Ee-Peng Lim Hao Chen Qianru Sun 51 3 0 16 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 26 0 0 14 Oct 2022
Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations Kuo Han Jinlei Zhang Chunqi Zhu Lixing Yang Xiaoyu Huang Songsong Li AI4TS 25 2 0 13 Oct 2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks Richa Upadhyay Prakash Chandra Chhipa Ronald Phlypo Rajkumar Saini Marcus Liwicki 41 11 0 13 Oct 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang Hongyu Ren J. Leskovec LRM 35 24 0 13 Oct 2022
Few-shot Backdoor Attacks via Neural Tangent Kernels J. Hayase Sewoong Oh 38 21 0 12 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 23 3 0 11 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation Tao Li Haozhe Lei Quanyan Zhu 26 11 0 06 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 19 2 0 06 Oct 2022
Meta-Ensemble Parameter Learning Zhengcong Fei Shuman Tian Junshi Huang Xiaoming Wei Xiaolin K. Wei OOD 44 2 0 05 Oct 2022
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond Di Wu Jie Yang Mohamad Sawan OOD MedIm 30 19 0 03 Oct 2022
Offline Handwritten Amharic Character Recognition Using Few-shot Learning Mesay Samuel Gondere Lars Schmidt-Thieme D. Sharma Abiot Sinamo Boltena Abey Bruck OffRL 21 2 0 01 Oct 2022
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body A. Chiappa Alessandro Marin Vargas Alexander Mathis 34 7 0 28 Sep 2022
Meta-Learning a Cross-lingual Manifold for Semantic Parsing Tom Sherborne Mirella Lapata 48 13 0 26 Sep 2022
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 74 46 0 25 Sep 2022
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning Boris Ivanovic James Harrison Marco Pavone AI4CE 36 27 0 23 Sep 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 47 22 0 22 Sep 2022
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions Dong-Ming Zhang Yi-Mou Lin Hao Chen Zhuotao Tian Xin Yang Jinhui Tang Kwang-Ting Cheng VLM 35 11 0 21 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer Qiong Nan Danding Wang Yongchun Zhu Qiang Sheng Yuhui Shi Juan Cao Jintao Li 38 25 0 19 Sep 2022
Learning to Weight Samples for Dynamic Early-exiting Networks Yizeng Han Yifan Pu Zihang Lai Chaofei Wang S. Song Junfen Cao Wenhui Huang Chao Deng Gao Huang 64 54 0 17 Sep 2022
Earthquake Phase Association with Graph Neural Networks I. McBrearty G. Beroza 27 39 0 15 Sep 2022
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision Laurent Valentin Jospin Hamid Laga F. Boussaïd Bennamoun 38 1 0 12 Sep 2022
MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification Xiaokai Liu Meng Zhang 11 0 0 09 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 88 0 0 09 Sep 2022
Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions Egor Burkov Ruslan Rakhimov Aleksandr Safin Evgeny Burnaev Victor Lempitsky 3DH 29 7 0 07 Sep 2022
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface Jingcong Li Fei Wang Haiyun Huang Feifei Qi Jiahui Pan 30 31 0 07 Sep 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 16 6 0 04 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 24 0 0 03 Sep 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms Surbhi Goel Sham Kakade Adam Tauman Kalai Cyril Zhang 34 1 0 01 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 32 3 0 24 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 40 25 0 22 Aug 2022
$Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression$ Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$ -regularized Logistic Regression Huiming Xie Jean Honorio 25 1 0 19 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 28 2 0 17 Aug 2022
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning Dong Huk Park Jongmin Lee ObjD 31 11 0 15 Aug 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas Griffiths BDL SyDa 38 7 0 11 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 35 3 0 05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 24 60 0 04 Aug 2022
What can we Learn by Predicting Accuracy? Olivier Risser-Maroix Benjamin Chamand 27 4 0 02 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 32 451 0 01 Aug 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis Tao Li Haozhe Lei Quanyan Zhu AAML 29 7 0 29 Jul 2022