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
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 17 2 0 09 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu S. Feizi VLM 37 29 0 04 Apr 2023
On Context Distribution Shift in Task Representation Learning for Offline Meta RL Chenyang Zhao Zihao Zhou Bing-Quan Liu OffRL 29 3 0 01 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 26 2 0 29 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 44 207 0 27 Mar 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning Wen-Qiang Qiu Sichao Fu Jingyi Zhang Chengxiang Lei Qinmu Peng 40 11 0 27 Mar 2023
$Δ$ -Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss Chaitanya Devaguptapu Samarth Sinha K. J. Joseph V. Balasubramanian Animesh Garg 65 1 0 26 Mar 2023
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not Aneeshan Sain A. Bhunia Pinaki Nath Chowdhury Subhadeep Koley Tao Xiang Yi-Zhe Song VLM 34 78 0 23 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 103 42 0 23 Mar 2023
Adversarially Contrastive Estimation of Conditional Neural Processes Zesheng Ye Jing Du L. Yao UQCV 25 1 0 23 Mar 2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset Kuofeng Gao Yang Bai Jindong Gu Yong-Liang Yang Shutao Xia AAML 26 49 0 23 Mar 2023
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting Terence L van Zyl AI4TS 11 1 0 20 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 32 124 0 18 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 38 13 0 15 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani Ekram Hossain OOD AI4CE 37 27 0 13 Mar 2023
MetaUE: Model-based Meta-learning for Underwater Image Enhancement Zhenwei Zhang Haorui Yan K. Tang Yuping Duan 46 5 0 12 Mar 2023
MetaViewer: Towards A Unified Multi-View Representation Ren Wang Haoliang Sun Yuling Ma Xiaoming Xi Yilong Yin 54 9 0 11 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 50 22 0 09 Mar 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach Yunfei Ge Tao Li Quanyan Zhu AAML 26 18 0 06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
End-to-End Speech Recognition: A Survey Rohit Prabhavalkar Takaaki Hori Tara N. Sainath Ralf Schluter Shinji Watanabe VLM 26 150 0 03 Mar 2023
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control Achkan Salehi Stéphane Doncieux OffRL 27 2 0 02 Mar 2023
First-order ANIL learns linear representations despite misspecified latent dimension Oğuz Kaan Yüksel Etienne Boursier Nicolas Flammarion 38 0 0 02 Mar 2023
Multi-task neural networks by learned contextual inputs Anders T. Sandnes B. Grimstad O. Kolbjørnsen 14 1 0 01 Mar 2023
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors Long Tang Dengpan Ye Zhenhao Lu Yunming Zhang Shengshan Hu Yue Xu Chuanxi Chen AAML 42 9 0 01 Mar 2023
Approximately optimal domain adaptation with Fisher's Linear Discriminant Hayden S. Helm Ashwin De Silva Joshua T. Vogelstein Carey E. Priebe Weiwei Yang 35 2 0 27 Feb 2023
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP) Paulo Shakarian Abhinav Koyyalamudi Noel Ngu Lakshmivihari Mareedu 31 64 0 23 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation Ryuichiro Hataya M. Yamada ODL 42 8 0 20 Feb 2023
Deep Neural Networks based Meta-Learning for Network Intrusion Detection A. Sohail B. Ayisha I. Hameed Muhammad Mohsin Zafar Hani Alquhayz Asifullah Khan 34 5 0 18 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 41 7 0 16 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 26 32 0 16 Feb 2023
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks Shaowu Chen Weize Sun Lei Huang 6 10 0 16 Feb 2023
A Meta-Learning Approach to Population-Based Modelling of Structures G. Tsialiamanis N. Dervilis D. Wagg K. Worden 18 0 0 15 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 33 5 0 14 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting Yinjun Wu Adam Stein Jacob R. Gardner Mayur Naik 29 0 0 09 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 32 0 0 08 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Gestalt-Guided Image Understanding for Few-Shot Learning Kun Song Yuchen Wu Jiansheng Chen Tianyu Hu Huimin Ma 21 0 0 08 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy Blake E. Woodworth Konstantin Mishchenko Francis R. Bach 42 6 0 07 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 39 33 0 07 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Y. Duan Zhongfan Jia Qian Li Yi Zhong Kaisheng Ma AAML 30 2 0 07 Feb 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 21 0 0 06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 30 4 0 05 Feb 2023
On the Efficacy of Differentially Private Few-shot Image Classification Marlon Tobaben Aliaksandra Shysheya J. Bronskill Andrew J. Paverd Shruti Tople Santiago Zanella Béguelin Richard Turner Antti Honkela 38 11 0 02 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Yuntao Wang Zhou Su Shaolong Guo Minghui Dai Tom H. Luan Yiliang Liu 24 107 0 31 Jan 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 38 5 0 30 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 25 6 0 30 Jan 2023