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2006.04270
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EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
7 June 2020
Hojjat Salehinejad
S. Valaee
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Papers citing
"EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks"
24 / 24 papers shown
Deep Neural Networks Inspired by Differential Equations
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246
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0
09 Oct 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
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319
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19 Jan 2025
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
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309
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20 Jul 2024
CALICO: Confident Active Learning with Integrated Calibration
L. S. Querol
Hajime Nagahara
Hideaki Hayashi
307
3
0
02 Jul 2024
A Comprehensive Study of Structural Pruning for Vision Models
Haoling Li
Haoling Li
Mengqi Xue
Gongfan Fang
Sheng Zhou
Zunlei Feng
Huiqiong Wang
Mingli Song
Lechao Cheng
VLM
633
0
0
18 Jun 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
Masahito Toba
Seiichi Uchida
Hideaki Hayashi
206
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15 Apr 2024
Magnificent Minified Models
Richard E. Harang
Hillary Sanders
91
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16 Jun 2023
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Hideaki Hayashi
318
7
0
10 May 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
469
318
0
01 Mar 2023
Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Hojjat Salehinejad
Navid Hasanzadeh
Radomir Djogo
S. Valaee
213
22
0
11 Oct 2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data
Neural Networks (NN), 2022
Manar D. Samad
Sakib Abrar
170
13
0
17 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
259
10
0
12 Apr 2022
Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures
Giovanni Bonetta
Matteo Ribero
R. Cancelliere
245
9
0
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
369
20
0
05 Apr 2022
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
226
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0
07 Mar 2022
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
Neural Networks (NN), 2022
Javier Poyatos
Daniel Molina
Aritz D. Martinez
Javier Del Ser
Francisco Herrera
258
42
0
08 Feb 2022
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Hojjat Salehinejad
S. Valaee
138
39
0
23 Jan 2022
Latency Adjustable Transformer Encoder for Language Understanding
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Sajjad Kachuee
M. Sharifkhani
693
2
0
10 Jan 2022
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
BigData Congress [Services Society] (BSS), 2021
Qisheng He
Weisong Shi
Ming Dong
276
3
0
01 Nov 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xiaohan Ding
Tianxiang Hao
Jungong Han
Yuchen Guo
Guiguang Ding
195
20
0
30 Jul 2021
Not All Attention Is All You Need
Hongqiu Wu
Hai Zhao
Min Zhang
383
11
0
10 Apr 2021
Deep Model Compression based on the Training History
Neurocomputing (Neurocomputing), 2021
S. H. Shabbeer Basha
M. Farazuddin
Viswanath Pulabaigari
S. Dubey
Snehasis Mukherjee
VLM
383
27
0
30 Jan 2021
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Information Fusion (Inf. Fusion), 2020
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
390
31
0
09 Aug 2020
Binary Stochastic Filtering: feature selection and beyond
Andrii Trelin
A. Procházka
252
5
0
08 Jul 2020
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