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Variational Dropout Sparsifies Deep Neural Networks
v1v2v3 (latest)

Variational Dropout Sparsifies Deep Neural Networks

International Conference on Machine Learning (ICML), 2017
19 January 2017
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Variational Dropout Sparsifies Deep Neural Networks"

50 / 481 papers shown
Towards efficient deep autoencoders for multivariate time series anomaly
  detection
Towards efficient deep autoencoders for multivariate time series anomaly detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
173
1
0
04 Mar 2024
Training Bayesian Neural Networks with Sparse Subspace Variational
  Inference
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li
Zichen Miao
Qiang Qiu
Ruqi Zhang
BDLUQCV
203
10
0
16 Feb 2024
Conditional Information Gain Trellis
Conditional Information Gain Trellis
Ufuk Can Biçici
Tuna Han Salih Meral
L. Akarun
224
2
0
13 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou
Maria Skoularidou
Konstantina Palla
Laurence Aitchison
Julyan Arbel
...
David Rügamer
Yee Whye Teh
Max Welling
Andrew Gordon Wilson
Ruqi Zhang
UQCVBDL
422
56
0
01 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine
  Tuning Pruned Subnetworks
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks
Tim Whitaker
Darrell Whitley
295
1
0
16 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
525
1
0
12 Jan 2024
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
Qizhe Zhang
Bocheng Zou
Ruichuan An
Jiaming Liu
Shanghang Zhang
MoE
274
6
0
05 Dec 2023
Robustness Enhancement in Neural Networks with Alpha-Stable Training
  Noise
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise
Xueqiong Yuan
Jipeng Li
E. Kuruoglu
OOD
189
5
0
17 Nov 2023
Batch Selection and Communication for Active Learning with Edge Labeling
Batch Selection and Communication for Active Learning with Edge Labeling
Victor Croisfelt
Shashi Raj Pandey
Osvaldo Simeone
P. Popovski
361
0
0
14 Nov 2023
Faithful Knowledge Graph Explanations for Commonsense Reasoning
Faithful Knowledge Graph Explanations for Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weihe Zhai
A. Zubiaga
284
0
0
07 Oct 2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse
  Neural Networks
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
Cameron Shinn
Collin McCarthy
Saurav Muralidharan
Muhammad Osama
John Douglas Owens
201
2
0
30 Sep 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal
  Retrieval
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal RetrievalNeural Information Processing Systems (NeurIPS), 2023
Hao Li
Marie-Jeanne Lesot
Lianli Gao
Xiaosu Zhu
Christophe Marsala
EDL
283
28
0
29 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDLAAML
290
36
0
28 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards
  Understanding Federated Learning for End-to-End ASR
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASRAutomatic Speech Recognition & Understanding (ASRU), 2023
Sheikh Shams Azam
Tatiana Likhomanenko
Martin Pelikan
Jan Honza Silovsky
185
7
0
22 Sep 2023
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
ThinResNet: A New Baseline for Structured Convolutional Networks Pruning
Hugo Tessier
Ghouti Boukli Hacene
Vincent Gripon
186
1
0
22 Sep 2023
Accelerating Deep Neural Networks via Semi-Structured Activation
  Sparsity
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity
Matteo Grimaldi
Darshan C. Ganji
Ivan Lazarevich
Sudhakar Sah
193
13
0
12 Sep 2023
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
Multi-Objective Optimization for Sparse Deep Multi-Task LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
S. S. Hotegni
M. Berkemeier
S. Peitz
228
8
0
23 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
206
3
0
16 Aug 2023
Unified Data-Free Compression: Pruning and Quantization without
  Fine-Tuning
Unified Data-Free Compression: Pruning and Quantization without Fine-TuningIEEE International Conference on Computer Vision (ICCV), 2023
Shipeng Bai
Jun Chen
Xintian Shen
Yixuan Qian
Yong Liu
MQ
234
22
0
14 Aug 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
216
2
0
14 Aug 2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
CDR: Conservative Doubly Robust Learning for Debiased RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Zijie Song
Jiawei Chen
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
366
27
0
13 Aug 2023
Pruning a neural network using Bayesian inference
Pruning a neural network using Bayesian inference
Sunil Mathew
D. Rowe
159
0
0
04 Aug 2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization
Denis Kuznedelev
Eldar Kurtic
Eugenia Iofinova
Elias Frantar
Alexandra Peste
Dan Alistarh
VLM
335
14
0
03 Aug 2023
Adversarial Bayesian Augmentation for Single-Source Domain
  Generalization
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Sheng Cheng
Tejas Gokhale
Yezhou Yang
OOD
275
27
0
18 Jul 2023
UPSCALE: Unconstrained Channel Pruning
UPSCALE: Unconstrained Channel PruningInternational Conference on Machine Learning (ICML), 2023
Alvin Wan
Hanxiang Hao
K. Patnaik
Yueyang Xu
Omer Hadad
David Guera
Zhile Ren
Qi Shan
159
5
0
17 Jul 2023
Differentiable Transportation Pruning
Differentiable Transportation PruningIEEE International Conference on Computer Vision (ICCV), 2023
Yun-qiang Li
Jan van Gemert
Torsten Hoefler
Bert Moons
E. Eleftheriou
Bram-Ernst Verhoef
OT
280
16
0
17 Jul 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in
  Weight-tied Model for Vision Tasks
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks
Haobo Song
Soumajit Majumder
Tao Lin
VLM
301
0
0
16 Jul 2023
Integrating Large Pre-trained Models into Multimodal Named Entity
  Recognition with Evidential Fusion
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
Weide Liu
Xiaoyang Zhong
Jingwen Hou
Shaohua Li
Haozhe Huang
Yuming Fang
EDL
179
5
0
29 Jun 2023
Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity
Yuanrong Wang
Antonio Briola
T. Aste
180
8
0
27 Jun 2023
Calibrating Multimodal Learning
Calibrating Multimodal LearningInternational Conference on Machine Learning (ICML), 2023
Huanrong Zhang
Changqing Zhang
Bing Wu
Huazhu Fu
Qiufeng Wang
Q. Hu
230
35
0
02 Jun 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceInternational Conference on Machine Learning (ICML), 2023
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
237
8
0
24 May 2023
Sparsifying Bayesian neural networks with latent binary variables and
  normalizing flows
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
Lars Skaaret-Lund
G. Storvik
A. Hubin
BDLUQCV
189
3
0
05 May 2023
Variational Inference for Bayesian Neural Networks under Model and
  Parameter Uncertainty
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty
A. Hubin
G. Storvik
BDLUQCV
303
6
0
01 May 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified
  Neural Network Models
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
D. Honegger
Konstantin Schurholt
Damian Borth
246
5
0
26 Apr 2023
Tensor Decomposition for Model Reduction in Neural Networks: A Review
Tensor Decomposition for Model Reduction in Neural Networks: A ReviewIEEE Circuits and Systems Magazine (IEEE CAS Magazine), 2023
Xingyi Liu
Keshab K. Parhi
188
27
0
26 Apr 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans
Evil from Within: Machine Learning Backdoors through Hardware Trojans
Alexander Warnecke
Julian Speith
Janka Möller
Konrad Rieck
C. Paar
AAML
514
4
0
17 Apr 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural
  Network Pruning
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shangli Zhou
Mikhail A. Bragin
Lynn Pepin
Deniz Gurevin
Fei Miao
Caiwen Ding
165
3
0
08 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables
Learning Sparsity of Representations with Discrete Latent VariablesIEEE International Joint Conference on Neural Network (IJCNN), 2021
Zhao Xu
Daniel Oñoro-Rubio
G. Serra
Mathias Niepert
176
0
0
03 Apr 2023
Induced Feature Selection by Structured Pruning
Induced Feature Selection by Structured Pruning
Nathan Hubens
V. Delvigne
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
113
0
0
20 Mar 2023
Gated Compression Layers for Efficient Always-On Models
Gated Compression Layers for Efficient Always-On Models
Haiguang Li
T. Thormundsson
I. Poupyrev
N. Gillian
196
3
0
15 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning
  using Attentions
Automatic Attention Pruning: Improving and Automating Model Pruning using AttentionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Kaiqi Zhao
Animesh Jain
Ming Zhao
188
19
0
14 Mar 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!International Conference on Learning Representations (ICLR), 2023
Shiwei Liu
Tianlong Chen
Zhenyu Zhang
Xuxi Chen
Tianjin Huang
Ajay Jaiswal
Zinan Lin
213
31
0
03 Mar 2023
Dropout Reduces Underfitting
Dropout Reduces UnderfittingInternational Conference on Machine Learning (ICML), 2023
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
403
56
0
02 Mar 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Fast as CHITA: Neural Network Pruning with Combinatorial OptimizationInternational Conference on Machine Learning (ICML), 2023
Riade Benbaki
Wenyu Chen
X. Meng
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
295
40
0
28 Feb 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
202
1
0
22 Feb 2023
Differentiable Rendering with Reparameterized Volume Sampling
Differentiable Rendering with Reparameterized Volume SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Nikita Morozov
D. Rakitin
Oleg Desheulin
Dmitry Vetrov
Kirill Struminsky
186
4
0
21 Feb 2023
Structured Bayesian Compression for Deep Neural Networks Based on The
  Turbo-VBI Approach
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI ApproachIEEE Transactions on Signal Processing (IEEE TSP), 2023
Cheng-Gang Xia
Danny H. K. Tsang
Vincent K. N. Lau
BDL
169
8
0
21 Feb 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
136
0
0
16 Jan 2023
Publishing Efficient On-device Models Increases Adversarial
  Vulnerability
Publishing Efficient On-device Models Increases Adversarial Vulnerability
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
AAML
182
4
0
28 Dec 2022
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
293
4
0
24 Dec 2022
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