Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1711.11294
Cited By
Towards Accurate Binary Convolutional Neural Network
30 November 2017
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Towards Accurate Binary Convolutional Neural Network"
50 / 123 papers shown
Title
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar
Yash Jain
Alexey Tumanov
MQ
54
0
0
04 Dec 2023
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Shuang Wang
B. Eravcı
Rustam Guliyev
Hakan Ferhatosmanoglu
GNN
MQ
27
6
0
29 Aug 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick
G. Berger
Aviv Navon
Ethan Fetaya
MQ
22
0
0
04 Jul 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
Cheng Gong
Ye Lu
Surong Dai
Deng Qian
Chenkun Du
Tao Li
MQ
29
0
0
07 Apr 2023
Distributed Neural Representation for Reactive in situ Visualization
Qi Wu
J. Insley
V. Mateevitsi
S. Rizzi
M. Papka
Kwan-Liu Ma
29
1
0
28 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQ
AAML
37
36
0
26 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
21
1
0
15 Jan 2023
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
Shishira R. Maiya
Sharath Girish
Max Ehrlich
Hanyu Wang
Kwot Sin Lee
Patrick Poirson
Pengxiang Wu
Chen Wang
Abhinav Shrivastava
VGen
47
40
0
30 Dec 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
Yixing Xu
Xinghao Chen
Yunhe Wang
MQ
27
8
0
29 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen Ma
Xue Liu
MQ
30
3
0
24 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu
Chenyang Lei
Xiao Sun
Pengju Wang
Qifeng Chen
Kwang-Ting Cheng
Stephen Lin
Zhirong Wu
MQ
38
5
0
19 Dec 2022
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
34
14
0
01 Dec 2022
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
21
1
0
25 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin
Xudong Ma
Yifu Ding
X. Li
Yang Zhang
Zejun Ma
Jiakai Wang
Jie Luo
Xianglong Liu
MQ
40
20
0
13 Nov 2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba
Neeraj Anand
Saksham Aggarwal
Dilip K Prasad
D. K. Gupta
MQ
26
0
0
12 Nov 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
44
32
0
17 Oct 2022
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
Egor Shvetsov
Dmitry Osin
Alexey Zaytsev
Ivan Koryakovskiy
Valentin Buchnev
I. Trofimov
Evgeny Burnaev
MQ
23
2
0
31 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
36
54
0
17 Aug 2022
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
25
11
0
11 Aug 2022
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
16
19
0
13 Jul 2022
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction
Shiqi Zhao
Jie Yang
Yankun Xu
Mohamad Sawan
26
29
0
08 Jun 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
Kinshuk Dua
FedML
MQ
29
0
0
19 May 2022
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection
Tahsinur Rahman Talukdar
M.J. Hossain
Tahmid H. Talukdar
14
4
0
21 Feb 2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
Guhong Nie
Lirui Xiao
Menglong Zhu
Dongliang Chu
Yue-Hong Shen
Peng Li
Kan Yang
Li Du
Bo Chen Dji Innovations Inc
MQ
34
5
0
08 Feb 2022
Elastic-Link for Binarized Neural Network
Jie Hu
Ziheng Wu
Vince Tan
Zhilin Lu
Mengze Zeng
Enhua Wu
MQ
30
6
0
19 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks
Jing Liu
Jianfei Cai
Bohan Zhuang
MQ
27
24
0
24 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
Yuezhou Sun
Wenlong Zhao
Lijun Zhang
Xiao Liu
Hui Guan
Matei A. Zaharia
26
0
0
19 Nov 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks
Yikai Wang
Yi Yang
Gang Hua
Anbang Yao
MQ
29
15
0
18 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
46
7
0
16 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
Weihan Chen
Peisong Wang
Jian Cheng
MQ
42
62
0
13 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds
Jiehua Zhang
Z. Su
Yang Feng
Xin Lu
M. Pietikäinen
Li Liu
MQ
19
18
0
08 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang
Clayton D. Scott
25
1
0
06 Oct 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Cheng Gong
Ye Lu
Kunpeng Xie
Zongming Jin
Tao Li
Yanzhi Wang
MQ
27
7
0
08 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
33
31
0
01 Sep 2021
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
Minsik Cho
Keivan Alizadeh Vahid
Saurabh N. Adya
Mohammad Rastegari
42
34
0
28 Aug 2021
Smoothed Differential Privacy
Ao Liu
Yu-Xiang Wang
Lirong Xia
33
0
0
04 Jul 2021
How Do Adam and Training Strategies Help BNNs Optimization?
Zechun Liu
Zhiqiang Shen
Shichao Li
K. Helwegen
Dong Huang
Kwang-Ting Cheng
ODL
MQ
25
82
0
21 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
James Diffenderfer
Brian Bartoldson
Shreya Chaganti
Jize Zhang
B. Kailkhura
OOD
31
69
0
16 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Nianhui Guo
Joseph Bethge
Haojin Yang
Kai Zhong
Xuefei Ning
Christoph Meinel
Yu Wang
MQ
24
11
0
13 Jun 2021
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
Nastaran Hajinazar
Geraldo F. Oliveira
Sven Gregorio
João Dinis Ferreira
Nika Mansouri-Ghiasi
Minesh Patel
M. Alser
Saugata Ghose
Juan Gómez Luna
O. Mutlu
24
16
0
26 May 2021
Winograd Algorithm for AdderNet
Wenshuo Li
Hanting Chen
Mingqiang Huang
Xinghao Chen
Chunjing Xu
Yunhe Wang
27
8
0
12 May 2021
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles
Jiwei Guan
Xi Zheng
Chen Wang
Yipeng Zhou
A. Jolfaei
AAML
23
5
0
20 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
Phuoc Pham
J. Abraham
Jaeyong Chung
MQ
37
11
0
01 Apr 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
Sushant Singh
A. Mahmood
AI4TS
60
92
0
23 Mar 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
Zihan Xu
Mingbao Lin
Jianzhuang Liu
Jie Chen
Ling Shao
Yue Gao
Yonghong Tian
Rongrong Ji
MQ
24
81
0
23 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
35
75
0
17 Mar 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
248
22
0
17 Feb 2021
Enabling Binary Neural Network Training on the Edge
Erwei Wang
James J. Davis
Daniele Moro
Piotr Zielinski
Jia Jie Lim
C. Coelho
S. Chatterjee
P. Cheung
George A. Constantinides
MQ
20
24
0
08 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
675
0
24 Jan 2021
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
Sophie Burkhardt
Jannis Brugger
Nicolas Wagner
Zahra Ahmadi
Kristian Kersting
Stefan Kramer
NAI
FAtt
25
8
0
15 Dec 2020
1
2
3
Next