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1701.05369
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Variational Dropout Sparsifies Deep Neural Networks
International Conference on Machine Learning (ICML), 2017
19 January 2017
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
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Papers citing
"Variational Dropout Sparsifies Deep Neural Networks"
50 / 481 papers shown
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Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
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Training Lightweight Graph Convolutional Networks with Phase-field Models
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Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
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MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity
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Sinya Takamaeda-Yamazaki
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Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models
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Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
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Generative models uncertainty estimation
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Constantine Chimpoesh
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Agata Shishigina
112
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18 Oct 2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
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Jim Beckers
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Ziyue Zhao
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324
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17 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
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Adrien Lafage
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459
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Deep Differentiable Logic Gate Networks
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Felix Petersen
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190
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Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning
Asian Conference on Computer Vision (ACCV), 2022
Donggeun Yoon
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156
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Deep Combinatorial Aggregation
Neural Information Processing Systems (NeurIPS), 2022
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Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
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144
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29 Sep 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
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Konstantin Schurholt
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Boris Knyazev
Xavier Giró-i-Nieto
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309
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29 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Guang Li
Ren Togo
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Miki Haseyama
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229
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29 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
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Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
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Carl Allen
DRL
319
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26 Sep 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
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Geng Yuan
Yanyu Li
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Sergey Tulyakov
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Yanzhi Wang
Jian Ren
287
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22 Sep 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
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Maoguo Gong
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141
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09 Aug 2022
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
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Jose Gallego-Posada
Juan Ramirez
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Yoshua Bengio
Damien Scieur
337
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08 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
International Conference on Learning Representations (ICLR), 2022
Xinchi Qiu
Javier Fernandez-Marques
Pedro Gusmão
Yan Gao
Titouan Parcollet
Nicholas D. Lane
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193
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04 Aug 2022
To update or not to update? Neurons at equilibrium in deep models
Neural Information Processing Systems (NeurIPS), 2022
Andrea Bragagnolo
Enzo Tartaglione
Marco Grangetto
286
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19 Jul 2022
Minimum Description Length Control
International Conference on Learning Representations (ICLR), 2022
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
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224
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17 Jul 2022
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Ziyi Shen
Qianye Yang
Yuming Shen
F. Giganti
V. Stavrinides
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M. Rusu
G. Sonn
Juil Sock
D. Barratt
Yipeng Hu
226
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13 Jul 2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Vishnu Raj
Tianyu Cui
Markus Heinonen
Pekka Marttinen
UQCV
BDL
138
1
0
04 Jul 2022
Training Your Sparse Neural Network Better with Any Mask
International Conference on Machine Learning (ICML), 2022
Ajay Jaiswal
Haoyu Ma
Tianlong Chen
Ying Ding
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273
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26 Jun 2022
The State of Sparse Training in Deep Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
L. Graesser
Utku Evci
Erich Elsen
Pablo Samuel Castro
OffRL
279
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17 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
International Conference on Machine Learning (ICML), 2022
Zhengqi He
Zeke Xie
Quanzhi Zhu
Zengchang Qin
230
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17 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
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Tianci Liu
Jian Kang
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190
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12 Jun 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
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Xing Sun
Ali Hassani
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Humphrey Shi
196
25
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09 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality
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Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Yongdai Kim
TPM
279
1
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02 Jun 2022
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Lu Yin
Vlado Menkovski
Meng Fang
Tianjin Huang
Yulong Pei
Mykola Pechenizkiy
Decebal Constantin Mocanu
Shiwei Liu
273
9
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30 May 2022
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
International Conference on Learning Representations (ICLR), 2022
Y. Tan
Pihe Hu
L. Pan
Jiatai Huang
Longbo Huang
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270
34
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30 May 2022
Structural Dropout for Model Width Compression
Julian Knodt
OffRL
94
1
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13 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks
Phuoc Nguyen
T. Tran
Ky Le
Sunil R. Gupta
Santu Rana
Dang Nguyen
Trong Nguyen
S. Ryan
Svetha Venkatesh
BDL
121
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13 May 2022
Revisiting Random Channel Pruning for Neural Network Compression
Computer Vision and Pattern Recognition (CVPR), 2022
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
222
107
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11 May 2022
Robust Learning of Parsimonious Deep Neural Networks
Neurocomputing (Neurocomputing), 2022
Valentin Frank Ingmar Guenter
Athanasios Sideris
302
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10 May 2022
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
198
1
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Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures
Giovanni Bonetta
Matteo Ribero
R. Cancelliere
171
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11 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yongqian Li
Weizhi Ma
C. L. Philip Chen
Hao Fei
Yiqun Liu
Shaoping Ma
Yue Yang
300
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Capsule Networks Do Not Need to Model Everything
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Enzo Tartaglione
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203
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04 Apr 2022
Supervised Robustness-preserving Data-free Neural Network Pruning
IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), 2022
Mark Huasong Meng
Guangdong Bai
Sin Gee Teo
Jin Song Dong
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271
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Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations
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132
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Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
International Conference on Image Analysis and Processing (ICIAP), 2022
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
151
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11 Mar 2022
Dynamic ConvNets on Tiny Devices via Nested Sparsity
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Matteo Grimaldi
Luca Mocerino
A. Cipolletta
A. Calimera
260
8
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07 Mar 2022
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks
Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2022
C. F. G. Santos
Mateus Roder
L. A. Passos
João Paulo Papa
144
1
0
05 Mar 2022
On the data requirements of probing
Findings (Findings), 2022
Zining Zhu
Jixuan Wang
Bai Li
Frank Rudzicz
207
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International Conference on Information Photonics (ICIP), 2022
Enzo Tartaglione
239
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Towards Effective and Robust Neural Trojan Defenses via Input Filtering
European Conference on Computer Vision (ECCV), 2022
Kien Do
Haripriya Harikumar
Hung Le
D. Nguyen
T. Tran
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Dang Nguyen
Willy Susilo
Svetha Venkatesh
AAML
246
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24 Feb 2022
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