p-Meta: Towards On-device Deep Model Adaptation

p-Meta: Towards On-device Deep Model Adaptation

25 June 2022

ArXiv (abs)PDF HTML

Papers citing "p-Meta: Towards On-device Deep Model Adaptation"

17 / 17 papers shown

Title
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 73 48 0 27 Oct 2021
On-device Federated Learning with Flower Akhil Mathur Daniel J. Beutel Pedro Porto Buarque de Gusmão Javier Fernandez-Marques Taner Topal Xinchi Qiu Titouan Parcollet Yan Gao Nicholas D. Lane FedML 89 38 0 07 Apr 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 62 160 0 08 Feb 2021
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 393 1,987 0 11 Apr 2020
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network Mary Gooneratne K. Sim P. Zadrazil Andreas Kabel F. Beaufays Giovanni Motta 118 24 0 24 Jan 2020
Dynamic Convolution: Attention over Convolution Kernels Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 104 895 0 07 Dec 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 303 647 0 19 Sep 2019
Torchmeta: A Meta-Learning library for PyTorch T. Deleu Tobias Würfl Mandana Samiei Joseph Paul Cohen Yoshua Bengio OffRL 74 85 0 14 Sep 2019
Group Normalization Yuxin Wu Kaiming He 236 3,670 0 22 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 72 1,284 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 304 4,049 0 16 Nov 2017
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 74 551 0 14 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 375 7,333 0 13 Jun 2016
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 65 229 0 10 Jun 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015