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
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 40 0 0 07 May 2025
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation Xin Wang Ling Feng Huijun Zhang Lei Cao Kaisheng Zeng Qi Li Yang Ding Yi Dai David A. Clifton 32 0 0 03 May 2025
PREMISE: Matching-based Prediction for Accurate Review Recommendation Wei Han Hui Chen Soujanya Poria 24 0 0 02 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 78 0 0 27 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Y. Liu Yiping Song 32 0 0 22 Apr 2025
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 79 1 0 13 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 45 0 0 10 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Tongkun Liu Bing Li Xiao Jin Yupeng Shi Qiuying Li Xiang Wei 55 0 0 03 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 42 0 0 31 Jan 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 74 1 0 28 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 40 0 0 20 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning Sergio Rozada Santiago Paternain J. Bazerque Antonio G. Marques 62 0 0 17 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Functional Risk Minimization Ferran Alet Clement Gehring Tomás Lozano-Pérez Kenji Kawaguchi Joshua B. Tenenbaum Leslie Pack Kaelbling OffRL 54 0 0 31 Dec 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 100 0 0 26 Nov 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information Adel Javanmard Jingwei Ji Renyuan Xu 31 1 0 18 Oct 2024
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu Ruida Zhou Cong Shen Jing Yang 23 0 0 17 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 28 0 0 10 Oct 2024
Enhanced Transformer architecture for in-context learning of dynamical systems Matteo Rufolo Dario Piga Gabriele Maroni Marco Forgione 11 0 0 04 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 18 3 0 26 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 53 2 0 18 Sep 2024
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 31 1 0 13 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 48 1 0 06 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 41 0 0 04 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community Jiancheng Pan Yanxing Liu Yuqian Fu Muyuan Ma Jiaohao Li D. Paudel Luc Van Gool Xiaomeng Huang ObjD 55 7 0 17 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 45 6 0 28 Jul 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 16 0 0 28 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo Dongha Lee Jinyoung Yeo CLL KELM 55 1 0 24 Jul 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 52 3 0 20 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 22 1 0 24 Jun 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 29 0 0 28 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 59 2 0 24 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Yuang Zhao Zhaocheng Du Qinglin Jia Linxuan Zhang Zhenhua Dong Ruiming Tang 22 2 0 21 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 24 2 0 18 May 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 32 0 0 25 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Philip Matthias Winter M. Wimmer David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Gaia Romana De Paolis Johannes Novotny Sophia Ulonska Katja Bühler 34 0 0 18 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 33 43 0 23 Feb 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding Yuya Kawamura Satoshi Takabe BDL 19 0 0 23 Feb 2024
The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines Alex Ushveridze SSL AI4CE 19 0 0 12 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 24 4 0 09 Feb 2024
Learning Universal Predictors Jordi Grau-Moya Tim Genewein Marcus Hutter Laurent Orseau Grégoire Delétang ... Anian Ruoss Wenliang Kevin Li Christopher Mattern Matthew Aitchison J. Veness 19 11 0 26 Jan 2024
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent Kaan Ozkara Can Karakus Parameswaran Raman Mingyi Hong Shoham Sabach B. Kveton V. Cevher 8 2 0 17 Jan 2024
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 22 5 0 09 Jan 2024
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 33 2 0 05 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 12 4 0 01 Dec 2023
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 13 0 0 28 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 13 3 0 19 Oct 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization Bodhisattwa Prasad Majumder Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Niket Tandon Li Zhang Chris Callison-Burch Peter Clark LRM LLMAG CLL 8 37 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 12 3 0 15 Oct 2023