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1701.05369
Cited By
Variational Dropout Sparsifies Deep Neural Networks
19 January 2017
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
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Papers citing
"Variational Dropout Sparsifies Deep Neural Networks"
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Title
Task-Oriented Communications for Visual Navigation with Edge-Aerial Collaboration in Low Altitude Economy
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Zhenghao Liu
Jingjing Wang
Senkang Hu
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Yiqin Deng
Yuguang Fang
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Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
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Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
46
1
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05 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
87
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28 Jan 2025
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
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07 Aug 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Heng Lu
Mehdi Alemi
Reza Rawassizadeh
34
1
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05 Jul 2024
Geometric sparsification in recurrent neural networks
Wyatt Mackey
Ioannis Schizas
Jared Deighton
David L. Boothe, Jr.
Vasileios Maroulas
28
0
0
10 Jun 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
Guangliang Liu
Milad Afshari
Xitong Zhang
Zhiyu Xue
Avrajit Ghosh
Bidhan Bashyal
Rongrong Wang
K. Johnson
27
0
0
06 Jun 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
70
6
0
23 May 2024
Neural Network Compression for Reinforcement Learning Tasks
Dmitry A. Ivanov
D. Larionov
Oleg V. Maslennikov
V. Voevodin
OffRL
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41
0
0
13 May 2024
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
Ruihao Gong
Yang Yong
Zining Wang
Jinyang Guo
Xiuying Wei
Yuqing Ma
Xianglong Liu
31
5
0
09 May 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks
Tim Whitaker
Darrell Whitley
25
0
0
16 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
91
0
0
12 Jan 2024
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
20
4
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26 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables
Zhao Xu
Daniel Oñoro-Rubio
G. Serra
Mathias Niepert
13
0
0
03 Apr 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
19
9
0
14 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu
Tianlong Chen
Zhenyu (Allen) Zhang
Xuxi Chen
Tianjin Huang
Ajay Jaiswal
Zhangyang Wang
24
29
0
03 Mar 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki
Wenyu Chen
X. Meng
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
13
26
0
28 Feb 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
15
1
0
22 Feb 2023
Differentiable Rendering with Reparameterized Volume Sampling
Nikita Morozov
D. Rakitin
Oleg Desheulin
Dmitry Vetrov
Kirill Struminsky
14
4
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21 Feb 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
11
0
0
16 Jan 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
21
1
0
24 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen-li Ma
Xue Liu
MQ
22
3
0
24 Dec 2022
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Danyang Liu
Xue Liu
12
0
0
24 Dec 2022
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity
Yuki Hirayama
Sinya Takamaeda-Yamazaki
BDL
17
0
0
24 Nov 2022
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models
Mohammadreza Rezaei
Reza Saadati Fard
Ebrahim Pourjafari
Navid Ziaei
Amir Sameizadeh
M. Shafiee
M. Alavinia
M. Abolghasemian
Nick Sajadi
17
1
0
27 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar
M. Kahaei
MQ
20
0
0
24 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
38
32
0
17 Oct 2022
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
Rahul Mishra
Hari Prabhat Gupta
27
8
0
30 Sep 2022
Batch Normalization Explained
Randall Balestriero
Richard G. Baraniuk
AAML
28
16
0
29 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
22
40
0
29 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
21
5
0
26 Sep 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yihe Lu
Maoguo Gong
Wei Zhao
Kaiyuan Feng
Hao Li
VLM
29
0
0
09 Aug 2022
Minimum Description Length Control
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
18
1
0
17 Jul 2022
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
Ziyi Shen
Qianye Yang
Yuming Shen
F. Giganti
V. Stavrinides
...
M. Rusu
G. Sonn
Philip H. S. Torr
D. Barratt
Yipeng Hu
22
2
0
13 Jul 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zhengqi He
Zeke Xie
Quanzhi Zhu
Zengchang Qin
67
27
0
17 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
Daiwei Zhang
Tianci Liu
Jian Kang
BDL
UQCV
24
2
0
12 Jun 2022
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
21
0
0
09 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
Y. Li
Weizhi Ma
C. L. Philip Chen
M. Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
27
9
0
05 Apr 2022
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
11
2
0
11 Mar 2022
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
C. F. G. Santos
Mateus Roder
L. A. Passos
João Paulo Papa
19
1
0
05 Mar 2022
The rise of the lottery heroes: why zero-shot pruning is hard
Enzo Tartaglione
21
6
0
24 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
52
56
0
23 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Tianzong Yu
Chunyuan Zhang
Yuan Wang
Meng-tao Ma
Qingwei Song
22
1
0
13 Jan 2022
Probabilistic Approach for Road-Users Detection
Gledson Melotti
Weihao Lu
Pedro Conde
Dezong Zhao
A. Asvadi
Nuno Gonçalves
C. Premebida
19
2
0
02 Dec 2021
How Well Do Sparse Imagenet Models Transfer?
Eugenia Iofinova
Alexandra Peste
Mark Kurtz
Dan Alistarh
19
38
0
26 Nov 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma
Zongbo Han
Changqing Zhang
H. Fu
Joey Tianyi Zhou
Q. Hu
EDL
UQCV
66
42
0
11 Nov 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
15
89
0
26 Oct 2021
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
Soufiane Hayou
Bo He
Gintare Karolina Dziugaite
11
2
0
22 Oct 2021
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