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
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Few-shot Visual Relationship Co-localization Revant Teotia Vaibhav Mishra Mayank Maheshwari Anand Mishra 20 1 0 26 Aug 2021
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Shuhao Qiu Chuang Zhu Wenli Zhou VLM OOD 24 8 0 24 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 24 14 0 03 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
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Reconstruction guided Meta-learning for Few Shot Open Set Recognition Sayak Nag Dripta S. Raychaudhuri S. Paul A. Roy-Chowdhury 21 7 0 31 Jul 2021
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions Anil Rahate Rahee Walambe S. Ramanna K. Kotecha 27 135 0 29 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 22 18 0 29 Jul 2021
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues Chirag Raman Hayley Hung Marco Loog AI4TS 27 9 0 28 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 35 19 0 23 Jul 2021
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift Pinzhuo Tian Yao Gao OOD 17 1 0 23 Jul 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 23 0 0 22 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 19 37 0 17 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 45 87 0 16 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
Principal component analysis for Gaussian process posteriors Hideaki Ishibashi S. Akaho 4 6 0 15 Jul 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 46 97 0 12 Jul 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 37 18 0 12 Jul 2021
Systematic human learning and generalization from a brief tutorial with explanatory feedback A. Nam James L. McClelland 16 1 0 10 Jul 2021
Task Fingerprinting for Meta Learning in Biomedical Image Analysis Patrick Godau Lena Maier-Hein 19 6 0 08 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 29 6 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 32 1 0 05 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 27 20 0 02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 20 10 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 32 49 0 30 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 25 17 0 29 Jun 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun Siu-Ming Yiu FedML 30 164 0 25 Jun 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 41 49 0 24 Jun 2021
Real-time Neural Radiance Caching for Path Tracing Thomas Müller Fabrice Rousselle Jan Novák A. Keller 3DH AI4CE 27 155 0 23 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Trinity: A No-Code AI platform for complex spatial datasets C. V. K. Iyer Feili Hou Henry Wang Yonghong Wang Kay Oh Swetava Ganguli Vipul Pandey SyDa 30 21 0 21 Jun 2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation Guoqiang Wei Cuiling Lan Wenjun Zeng Zhizheng Zhang Zhibo Chen 30 59 0 21 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 20 20 0 19 Jun 2021
How Low Can We Go: Trading Memory for Error in Low-Precision Training Chengrun Yang Ziyang Wu Jerry Chee Christopher De Sa Madeleine Udell 18 2 0 17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search Kevin Frans Lisa Soros Olaf Witkowski 13 0 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Generative Conversational Networks Alexandros Papangelis Karthik Gopalakrishnan Aishwarya Padmakumar Seokhwan Kim Gokhan Tur Dilek Z. Hakkani-Tür 27 18 0 15 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 18 6 0 15 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 38 18 0 12 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 56 9 0 09 Jun 2021
Learning Functional Priors and Posteriors from Data and Physics Xuhui Meng Liu Yang Zhiping Mao J. Ferrandis George Karniadakis AI4CE 35 61 0 08 Jun 2021