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Multi-Task Zipping via Layer-wise Neuron Sharing
v1v2 (latest)

Multi-Task Zipping via Layer-wise Neuron Sharing

24 May 2018
Xiaoxi He
Zimu Zhou
Lothar Thiele
    MoMe
ArXiv (abs)PDFHTML

Papers citing "Multi-Task Zipping via Layer-wise Neuron Sharing"

19 / 19 papers shown
Title
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
113
0
0
30 May 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
218
3
0
14 Feb 2025
PLeaS -- Merging Models with Permutations and Least Squares
PLeaS -- Merging Models with Permutations and Least Squares
Anshul Nasery
J. Hayase
Pang Wei Koh
Sewoong Oh
MoMe
186
6
0
02 Jul 2024
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation
Zhanteng Xie
P. Dames
239
2
0
28 Jun 2024
Robot Fleet Learning via Policy Merging
Robot Fleet Learning via Policy Merging
Lirui Wang
Kaiqing Zhang
Allan Zhou
Max Simchowitz
Russ Tedrake
204
5
0
02 Oct 2023
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of
  Language Models
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Yufei Li
Zexin Li
Wei Yang
Cong Liu
97
14
0
12 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
186
26
0
27 Aug 2023
Categories of Response-Based, Feature-Based, and Relation-Based
  Knowledge Distillation
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
Chuanguang Yang
Xinqiang Yu
Zhulin An
Yongjun Xu
VLMOffRL
360
29
0
19 Jun 2023
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
274
107
0
15 Nov 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
DiSparse: Disentangled Sparsification for Multitask Model Compression
Xing Sun
Ali Hassani
Zhangyang Wang
Gao Huang
Humphrey Shi
152
21
0
09 Jun 2022
The Role of Permutation Invariance in Linear Mode Connectivity of Neural
  Networks
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
R. Entezari
Hanie Sedghi
O. Saukh
Behnam Neyshabur
MoMe
216
252
0
12 Oct 2021
Collaborative Intelligence: Challenges and Opportunities
Collaborative Intelligence: Challenges and Opportunities
Ivan V. Bajić
Weisi Lin
Yonghong Tian
67
54
0
13 Feb 2021
A Survey on Deep Neural Network Compression: Challenges, Overview, and
  Solutions
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
92
96
0
05 Oct 2020
Passive Batch Injection Training Technique: Boosting Network Performance
  by Injecting Mini-Batches from a different Data Distribution
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data DistributionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Pravendra Singh
Pratik Mazumder
Vinay P. Namboodiri
82
0
0
08 Jun 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
385
248
0
23 Mar 2020
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task LearningIEEE International Conference on Computer Vision (ICCV), 2023
Chanho Ahn
Eunwoo Kim
Songhwai Oh
135
53
0
11 Sep 2019
Customizing Student Networks From Heterogeneous Teachers via Adaptive
  Knowledge Amalgamation
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge AmalgamationIEEE International Conference on Computer Vision (ICCV), 2023
Chengchao Shen
Mengqi Xue
Xinchao Wang
Mingli Song
Li Sun
Xiuming Zhang
MoMe
105
60
0
20 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures
Feature Partitioning for Efficient Multi-Task Architectures
Alejandro Newell
Lu Jiang
Chong-Jun Wang
Li Li
Jia Deng
108
17
0
12 Aug 2019
Pruning-Aware Merging for Efficient Multitask Inference
Pruning-Aware Merging for Efficient Multitask Inference
Xiaoxi He
Dawei Gao
Zimu Zhou
Yongxin Tong
Lothar Thiele
MoMe
116
9
0
23 May 2019
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