Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

31 October 2020

Papers citing "Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification"

20 / 20 papers shown

Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 107 14 0 15 Mar 2023
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 392 0 23 Jan 2020
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 93 218 0 30 Oct 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 33 8 0 11 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 114 1,767 0 08 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 151 618 0 07 Mar 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 69 762 0 08 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 144 1,371 0 16 Jul 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 135 1,669 0 14 Mar 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 72 159 0 12 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 301 4,050 0 16 Nov 2017
Few-Shot Learning Through an Information Retrieval Lens Eleni Triantafillou R. Zemel R. Urtasun 63 238 0 09 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 825 11,937 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 101 1,068 0 02 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,344 0 06 Nov 2014