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Meta-Learning with Network Pruning
v1v2 (latest)

Meta-Learning with Network Pruning

7 July 2020
Hongduan Tian
Bo Liu
Xiaotong Yuan
Qingshan Liu
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Network Pruning"

14 / 14 papers shown
Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
Yilang Zhang
Bingcong Li
G. Giannakis
216
0
0
02 Sep 2025
Neuromodulated Meta-Learning
Neuromodulated Meta-Learning
Wenwen Qiang
Huijie Guo
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
432
1
0
11 Nov 2024
Perturbing the Gradient for Alleviating Meta Overfitting
Perturbing the Gradient for Alleviating Meta Overfitting
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
302
1
0
20 May 2024
One-Shot Pruning for Fast-adapting Pre-trained Models on Devices
One-Shot Pruning for Fast-adapting Pre-trained Models on Devices
Haiyan Zhao
Guodong Long
161
2
0
10 Jul 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Improving Generalization in Meta-Learning via Meta-Gradient AugmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Ren Wang
Haoliang Sun
Qinglai Wei
Xiushan Nie
Yuling Ma
Yilong Yin
260
1
0
14 Jun 2023
Learning to Learn with Indispensable Connections
Learning to Learn with Indispensable Connections
Sambhavi Tiwari
Manas Gogoi
Shekhar Verma
Krishna Pratap Singh
CLL
173
1
0
06 Apr 2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for
  Downstream Tasks
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks
Haiyan Zhao
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
209
1
0
27 Jan 2023
Dynamic Kernel Selection for Improved Generalization and Memory
  Efficiency in Meta-learning
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learningComputer Vision and Pattern Recognition (CVPR), 2022
Arnav Chavan
Rishabh Tiwari
Udbhav Bamba
D. K. Gupta
232
6
0
03 Jun 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networksNeural Information Processing Systems (NeurIPS), 2022
Daiki Chijiwa
Shin'ya Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
359
11
0
31 May 2022
Meta-Learning Sparse Compression Networks
Meta-Learning Sparse Compression Networks
Jonathan Richard Schwarz
Yee Whye Teh
297
29
0
18 May 2022
Stability and Risk Bounds of Iterative Hard Thresholding
Stability and Risk Bounds of Iterative Hard ThresholdingIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Xiao-Tong Yuan
P. Li
220
14
0
17 Mar 2022
Meta-Learning Sparse Implicit Neural Representations
Meta-Learning Sparse Implicit Neural Representations
Jaehoon Lee
Jihoon Tack
Namhoon Lee
Jinwoo Shin
374
53
0
27 Oct 2021
Sparse Progressive Distillation: Resolving Overfitting under
  Pretrain-and-Finetune Paradigm
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
Shaoyi Huang
Dongkuan Xu
Ian En-Hsu Yen
Yijue Wang
Sung-En Chang
...
Shiyang Chen
Mimi Xie
Sanguthevar Rajasekaran
Hang Liu
Caiwen Ding
CLLVLM
332
37
0
15 Oct 2021
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic
  Meta-Learning
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Anish Madan
Ranjitha Prasad
BDL
111
3
0
01 Jan 2021
1
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