Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

Papers citing "Meta-Learning in Neural Networks: A Survey"

50 / 138 papers shown

Title
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 14 2 0 15 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 42 55 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 29 9 0 09 Oct 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 14 0 0 27 Sep 2023
Adaptive Growth: Real-time CNN Layer Expansion Yunjie Zhu Yunhao Chen 23 0 0 06 Sep 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification B. Xi Kevin Scaria Paulo Shakarian Paulo Shakarian 24 2 0 28 Aug 2023
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas Peifeng Ma Li Chen Chang Yu Qinggaozi Zhu Yuling Ding 12 1 0 23 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 11 1 0 16 Aug 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 10 5 0 19 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 29 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 69 0 10 Jul 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 11 0 0 18 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 28 22 0 18 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 19 1 0 07 Jun 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 8 31 0 06 Jun 2023
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden Lake CoGe OCL 16 8 0 30 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 56 1 0 03 May 2023
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning Arun Palla Sriprabha Ramanarayanan Keerthi Ram M. Sivaprakasam MedIm 11 0 0 13 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 13 3 0 11 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 11 2 0 29 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 55 1 0 26 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 23 13 0 15 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 8 4 0 06 Mar 2023
Projected Subnetworks Scale Adaptation Siddhartha Datta N. Shadbolt VLM CLL 8 0 0 27 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 14 119 0 19 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 4 5 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 14 41 0 28 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 17 0 0 28 Oct 2022
Which is the best model for my data? Gonzalo Nápoles Isel Grau Çiçek Güven Orçun Özdemir Yamisleydi Salgueiro 14 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 8 9 0 26 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 27 6 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 11 0 0 22 Oct 2022
Neural Routing in Meta Learning Jicang Cai Saeed Vahidian Weijia Wang M. Joneidi Bill Lin 11 0 0 14 Oct 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang Hongyu Ren J. Leskovec LRM 12 23 0 13 Oct 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 36 22 0 22 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 8 0 0 03 Sep 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 33 3 0 05 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 17 446 0 01 Aug 2022
Image Coding for Machines with Omnipotent Feature Learning Ruoyu Feng Xin Jin Zongyu Guo Runsen Feng Yixin Gao Tianyu He Zhizheng Zhang Simeng Sun Zhibo Chen VLM 20 36 0 05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 43 21 0 04 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jiahui Wang H. Zhu Haoren Guo Abdullah Al Mamun V. Prahlad T. Lee 3DPC 19 4 0 04 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 13 12 0 28 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 20 3 0 25 Jun 2022
Actively learning to learn causal relationships Chentian Jiang Christopher G. Lucas 11 3 0 20 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 16 8 0 18 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 17 9 0 07 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 165 49 0 30 May 2022
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling Jiyuan Cao Zhilei Liu Yong Zhang ViT 17 2 0 18 May 2022