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
MetaRM: Shifted Distributions Alignment via Meta-Learning Shihan Dou Yan Liu Enyu Zhou Tianlong Li Haoxiang Jia ... Junjie Ye Rui Zheng Tao Gui Qi Zhang Xuanjing Huang OOD 57 2 0 01 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 37 5 0 28 Apr 2024
Meta-Auxiliary Learning for Micro-Expression Recognition Jingyao Wang Yunhan Tian Yuxuan Yang Xiaoxin Chen Changwen Zheng Wenwen Qiang 53 7 0 18 Apr 2024
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition Seyed Mohammad Reza Modaresi A. Osmani Mohammadreza Razzazi A. Chibani 38 0 0 17 Apr 2024
Exploring Generative AI for Sim2Real in Driving Data Synthesis Haonan Zhao Yiting Wang Thomas Bashford-Rogers Valentina Donzella Kurt Debattista GAN 34 4 0 14 Apr 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 43 16 0 03 Apr 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 50 14 0 01 Apr 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 33 2 0 29 Mar 2024
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning Wanyu Bian Albert Jang Fang Liu 35 8 0 29 Mar 2024
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering Guoxing Sun Rishabh Dabral Pascal Fua Christian Theobalt Marc Habermann 3DH 56 4 0 27 Mar 2024
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 43 2 0 27 Mar 2024
Inverse kinematics learning of a continuum manipulator using limited real time data Alok Ranjan Sahoo Pavan Chakraborty AI4CE 27 0 0 27 Mar 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 40 0 0 25 Mar 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 49 6 0 22 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 24 0 0 20 Mar 2024
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales 30 7 0 19 Mar 2024
Improving Generalization via Meta-Learning on Hard Samples Nishant Jain A. Suggala Pradeep Shenoy OOD OffRL 42 2 0 18 Mar 2024
Compositional learning of functions in humans and machines Yanli Zhou Brenden Lake Adina Williams CoGe 43 1 0 18 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 37 0 0 18 Mar 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated Images Zheling Meng Bo Peng Jing Dong Tieniu Tan 89 2 0 17 Mar 2024
Stackelberg Meta-Learning Based Shared Control for Assistive Driving Yuhan Zhao Quanyan Zhu 35 0 0 15 Mar 2024
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models Tian Meng Yang Tao Ruilin Lyu Wuliang Yin VLM 46 1 0 15 Mar 2024
Meta Operator for Complex Query Answering on Knowledge Graphs hang Yin Zihao Wang Yangqiu Song 37 3 0 15 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen Jihoon Tack Yunqiao Yang Yee Whye Teh Jonathan Richard Schwarz Ying Wei MoE 43 1 0 13 Mar 2024
In-context Exploration-Exploitation for Reinforcement Learning Zhenwen Dai Federico Tomasi Sina Ghiassian OffRL OnRL 38 3 0 11 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 20 9 0 05 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 46 2 0 01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 40 0 0 28 Feb 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities Guangyuan Liu Nguyen Van Huynh Hongyang Du D. Hoang Dusit Niyato Kun Zhu Jiawen Kang Zehui Xiong Abbas Jamalipour Dong In Kim 52 13 0 28 Feb 2024
Reinforced In-Context Black-Box Optimization Lei Song Chenxiao Gao Ke Xue Chenyang Wu Dong Li Jianye Hao Zongzhang Zhang Chao Qian 35 3 0 27 Feb 2024
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks C. Weilenmann A. Ziogas T. Zellweger K. Portner Marko Mladenović Manasa Kaniselvan Timoleon Moraitis Mathieu Luisier A. Emboras 14 20 0 26 Feb 2024
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation Yu Ming Zihao Wu Jie Yang Danyi Li Yuan Gao Changxin Gao Gui-Song Xia Yuanqing Li Li Liang Jin-Gang Yu 35 0 0 26 Feb 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 42 1 0 25 Feb 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 50 44 0 23 Feb 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding Yuya Kawamura Satoshi Takabe BDL 34 0 0 23 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices Branislav Pecher Ivan Srba M. Bieliková 69 3 0 20 Feb 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control Jacky Liang Fei Xia Wenhao Yu Andy Zeng Montse Gonzalez Arenas ... N. Heess Kanishka Rao Nik Stewart Jie Tan Carolina Parada LM&Ro 61 34 0 18 Feb 2024
Vision-Based Hand Gesture Customization from a Single Demonstration Soroush Shahi Cori Tymoszek Park Richard Kang Asaf Liberman Oron Levy Jun Gong Abdelkareem Bedri Gierad Laput 19 2 0 13 Feb 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain Xiaohe Li Feilong Huang Zide Fan Fangli Mou Yingyan Hou Chen Qian Lijie Wen 21 1 0 13 Feb 2024
The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines Alex Ushveridze SSL AI4CE 34 0 0 12 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 34 4 0 09 Feb 2024
A Framework for Bilevel Optimization on Riemannian Manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Akiko Takeda 18 4 0 06 Feb 2024
Learning a Decision Tree Algorithm with Transformers Yufan Zhuang Liyuan Liu Chandan Singh Jingbo Shang Jianfeng Gao 44 5 0 06 Feb 2024
Is Mamba Capable of In-Context Learning? Riccardo Grazzi Julien N. Siems Simon Schrodi Thomas Brox Frank Hutter 32 40 0 05 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 34 1 0 05 Feb 2024
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation Pawel Batorski Dawid Malarz Marcin Przewiȩźlikowski Marcin Mazur S. Tadeja P. Spurek 41 1 0 02 Feb 2024
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi SSL 26 1 0 02 Feb 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 15 0 0 31 Jan 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 27 11 0 26 Jan 2024