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2002.10778
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Training Binary Neural Networks using the Bayesian Learning Rule
International Conference on Machine Learning (ICML), 2020
25 February 2020
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDL
MQ
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Papers citing
"Training Binary Neural Networks using the Bayesian Learning Rule"
29 / 29 papers shown
SVRG and Beyond via Posterior Correction
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Adeel Razi
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385
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23 May 2025
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
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Hyungrok Jung
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MQ
407
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0
30 Mar 2024
Bayesian Inference Accelerator for Spiking Neural Networks
International Symposium on Circuits and Systems (ISCAS), 2024
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Anagha Nimbekar
Chen Li
Amit Acharyya
Bashir M. Al-Hashimi
Bipin Rajendran
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193
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27 Jan 2024
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
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Pierre Wolinski
Julyan Arbel
348
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20 Nov 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
IEEE International Conference on Computer Vision (ICCV), 2023
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
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Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
361
44
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20 Aug 2023
Effective Neural Network
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Regularization With BinMask
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Martin Rinard
359
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21 Apr 2023
The Lie-Group Bayesian Learning Rule
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
E. M. Kıral
Thomas Möllenhoff
Mohammad Emtiyaz Khan
BDL
203
4
0
08 Mar 2023
Understanding weight-magnitude hyperparameters in training binary networks
International Conference on Learning Representations (ICLR), 2023
Joris Quist
Yun-qiang Li
Jan van Gemert
MQ
297
0
0
04 Mar 2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
Juan Carrasquilla
Mohamed Hibat-Allah
E. Inack
Alireza Makhzani
Kirill Neklyudov
Graham Taylor
G. Torlai
MQ
394
11
0
19 Jan 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Louis Leconte
S. Schechtman
Eric Moulines
365
4
0
07 Nov 2022
SAM as an Optimal Relaxation of Bayes
International Conference on Learning Representations (ICLR), 2022
Thomas Möllenhoff
Mohammad Emtiyaz Khan
BDL
377
42
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04 Oct 2022
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
523
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07 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks
Frontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
335
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0
29 Aug 2022
Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems
Shoummo Ahsan Khandoker
Jawaril Munshad Abedin
Mohamed Hibat-Allah
584
12
0
17 Jul 2022
Low-Precision Stochastic Gradient Langevin Dynamics
International Conference on Machine Learning (ICML), 2022
Ruqi Zhang
A. Wilson
Chris De Sa
BDL
222
18
0
20 Jun 2022
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2021
Huu Le
R. Høier
Che-Tsung Lin
Christopher Zach
245
21
0
06 Dec 2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Computer Vision and Pattern Recognition (CVPR), 2021
Miao Zhang
Jilin Hu
Steven W. Su
Shirui Pan
Xiaojun Chang
B. Yang
Gholamreza Haffari
OOD
377
22
0
25 Nov 2021
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators
Alexander Shekhovtsov
MQ
370
5
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07 Oct 2021
The Bayesian Learning Rule
Journal of machine learning research (JMLR), 2021
Mohammad Emtiyaz Khan
Håvard Rue
BDL
702
111
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09 Jul 2021
Quantized Proximal Averaging Network for Analysis Sparse Coding
Kartheek Kumar Reddy Nareddy
Mani Madhoolika Bulusu
P. Pokala
C. Seelamantula
MQ
235
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13 May 2021
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
282
21
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15 Dec 2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
IEEE Journal on Miniaturization for Air and Space Systems (J-MASS), 2020
Wenyu Zhao
Teli Ma
Xuan Gong
Baochang Zhang
David Doermann
MQ
258
26
0
24 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
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2,489
0
12 Nov 2020
Sparsity-Control Ternary Weight Networks
Neural Networks (NN), 2020
Xiang Deng
Zhongfei Zhang
MQ
335
12
0
01 Nov 2020
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tsvetomila Mihaylova
Vlad Niculae
André F. T. Martins
SyDa
204
7
0
05 Oct 2020
Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule
Xiangming Meng
220
0
0
09 Jul 2020
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks
German Conference on Pattern Recognition (DAGM), 2020
Alexander Shekhovtsov
Dmitry Molchanov
MQ
482
18
0
11 Jun 2020
Synaptic Metaplasticity in Binarized Neural Networks
Nature Communications (Nat Commun), 2020
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
349
78
0
07 Mar 2020
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