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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXiv (abs)PDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,765 papers shown
Title
Stochastic Configuration Machines: FPGA Implementation
Stochastic Configuration Machines: FPGA Implementation
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Dianhui Wang
92
5
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30 Oct 2023
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical
  Volumetric Segmentation
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Haoran Shen
Yifu Zhang
Wenxuan Wang
Chen Chen
Jing Liu
Shanshan Song
Jiangyun Li
MedIm
89
0
0
28 Oct 2023
FP8-LM: Training FP8 Large Language Models
FP8-LM: Training FP8 Large Language Models
Houwen Peng
Kan Wu
Yixuan Wei
Guoshuai Zhao
Yuxiang Yang
...
Zheng Zhang
Shuguang Liu
Joe Chau
Han Hu
Jun Zhou
MQ
212
61
0
27 Oct 2023
CMOS-based Single-Cycle In-Memory XOR/XNOR
CMOS-based Single-Cycle In-Memory XOR/XNORIEEE Access (IEEE Access), 2023
Shamiul Alam
Jack Hutchins
Nikhil Shukla
Kazi Asifuzzaman
A. Aziz
25
4
0
26 Oct 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary GradientsBritish Machine Vision Conference (BMVC), 2023
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Arno Solin
Tat-Jun Chin
Tolga Birdal
MQ
265
3
0
23 Oct 2023
BitNet: Scaling 1-bit Transformers for Large Language Models
BitNet: Scaling 1-bit Transformers for Large Language Models
Hongyu Wang
Shuming Ma
Li Dong
Shaohan Huang
Huaijie Wang
Lingxiao Ma
Fan Yang
Ruiping Wang
Yi Wu
Furu Wei
MQ
150
158
0
17 Oct 2023
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence
  Classification
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence ClassificationData mining and knowledge discovery (DMKD), 2023
Junjie Dong
Mudi Jiang
Lianyu Hu
Zengyou He
122
0
0
16 Oct 2023
LEMON: Lossless model expansion
LEMON: Lossless model expansionInternational Conference on Learning Representations (ICLR), 2023
Yite Wang
Jiahao Su
Hanlin Lu
Cong Xie
Tianyi Liu
Jianbo Yuan
Yanghua Peng
Tian Ding
Hongxia Yang
130
20
0
12 Oct 2023
Cost-Driven Hardware-Software Co-Optimization of Machine Learning
  Pipelines
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Ravit Sharma
W. Romaszkan
Feiqian Zhu
Puneet Gupta
Ankur Mehta
154
0
0
11 Oct 2023
Taming Binarized Neural Networks and Mixed-Integer Programs
Taming Binarized Neural Networks and Mixed-Integer ProgramsAAAI Conference on Artificial Intelligence (AAAI), 2023
Johannes Aspman
Georgios Korpas
Georgios Korpas
AI4CE
223
7
0
05 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random BasisInternational Conference on Learning Representations (ICLR), 2023
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
230
24
0
04 Oct 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy
  Efficiency of Inference Efficient Vision Transformers
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers
K. Navaneet
Soroush Abbasi Koohpayegani
Essam Sleiman
Hamed Pirsiavash
AAMLViT
126
4
0
04 Oct 2023
PB-LLM: Partially Binarized Large Language Models
PB-LLM: Partially Binarized Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Yuzhang Shang
Zhihang Yuan
Qiang Wu
Zhen Dong
MQ
210
72
0
29 Sep 2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic
  Superconductor Josephson Devices
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson DevicesMicro (MICRO), 2023
Hao Sun
Geng Yuan
Tomoharu Yamauchi
Zabihi Masoud
Yanyue Xie
...
Xulong Tang
Nobuyuki Yoshikawa
Devesh Tiwari
Yanzhi Wang
O. Chen
MQ
160
5
0
21 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things
  (IoT): Opportunities and Challenges
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou
Jin Ye
Geng Yuan
Qin Lu
Wei Niu
...
Hongyue Sun
Yunli Shao
Changying Li
Tianming Liu
Wenzhan Song
AI4CE
158
32
0
14 Sep 2023
QuantEase: Optimization-based Quantization for Language Models
QuantEase: Optimization-based Quantization for Language Models
Kayhan Behdin
Ayan Acharya
Aman Gupta
Qingquan Song
Sirou Zhu
S. Keerthi
Rahul Mazumder
MQ
179
25
0
05 Sep 2023
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large
  Language Models
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language ModelsIEEE computer architecture letters (CAL), 2023
Minsik Cho
Keivan Alizadeh Vahid
Qichen Fu
Saurabh N. Adya
C. C. D. Mundo
Mohammad Rastegari
Devang Naik
Peter Zatloukal
MQ
131
8
0
02 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable DecompositionInternational Conference on Machine Learning (ICML), 2023
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
216
9
0
28 Aug 2023
Computation-efficient Deep Learning for Computer Vision: A Survey
Computation-efficient Deep Learning for Computer Vision: A Survey
Yulin Wang
Yizeng Han
Chaofei Wang
Shiji Song
Qi Tian
Gao Huang
VLM
218
29
0
27 Aug 2023
MST-compression: Compressing and Accelerating Binary Neural Networks
  with Minimum Spanning Tree
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning TreeIEEE International Conference on Computer Vision (ICCV), 2023
Quang Hieu Vo
Linh-Tam Tran
Sung-Ho Bae
Lokwon Kim
Choong Seon Hong
MQ
150
1
0
26 Aug 2023
Eventful Transformers: Leveraging Temporal Redundancy in Vision
  Transformers
Eventful Transformers: Leveraging Temporal Redundancy in Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2023
Matthew Dutson
Yin Li
M. Gupta
ViT
133
16
0
25 Aug 2023
Stochastic Configuration Machines for Industrial Artificial Intelligence
Stochastic Configuration Machines for Industrial Artificial Intelligence
Dianhui Wang
Matthew J. Felicetti
AI4CE
163
11
0
25 Aug 2023
Vision Transformer Pruning Via Matrix Decomposition
Vision Transformer Pruning Via Matrix Decomposition
Tianyi Sun
118
0
0
21 Aug 2023
A Survey on Model Compression for Large Language Models
A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2023
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
246
310
0
15 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
144
18
0
14 Aug 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through
  Estimator for Binary Neural Networks Training
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks TrainingIEEE International Conference on Computer Vision (ICCV), 2023
Xiao-Ming Wu
Dian Zheng
Zuhao Liu
Weishi Zheng
MQ
172
24
0
13 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling
Sparse Binary Transformers for Multivariate Time Series ModelingKnowledge Discovery and Data Mining (KDD), 2023
Matt Gorbett
Hossein Shirazi
I. Ray
AI4TS
124
17
0
09 Aug 2023
Survey on Computer Vision Techniques for Internet-of-Things Devices
Survey on Computer Vision Techniques for Internet-of-Things Devices
Ishmeet Kaur
Adwaita Janardhan Jadhav
AI4CE
81
1
0
02 Aug 2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of
  Precision Redundancy
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision RedundancyIEEE International Conference on Computer Vision (ICCV), 2023
Shibo Jie
Haoqing Wang
Zhiwei Deng
129
40
0
31 Jul 2023
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Quantum-limited stochastic optical neural networks operating at a few quanta per activationNature Communications (Nat. Commun.), 2023
Shifan Ma
Tianyu Wang
Jérémie Laydevant
Logan G. Wright
Peter L. McMahon
92
22
0
28 Jul 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained
  Vision-Language Models
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Kecheng Zheng
Wei Wu
Ruili Feng
Kai Zhu
Jiawei Liu
Deli Zhao
Zhengjun Zha
Wei Chen
Yujun Shen
VLM
131
11
0
27 Jul 2023
An Estimator for the Sensitivity to Perturbations of Deep Neural
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An Estimator for the Sensitivity to Perturbations of Deep Neural Networks
Naman Maheshwari
Nicholas Malaya
Scott A. Moe
J. Kulkarni
S. Gurumurthi
AAML
73
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0
24 Jul 2023
Distribution Shift Matters for Knowledge Distillation with Webly
  Collected Images
Distribution Shift Matters for Knowledge Distillation with Webly Collected ImagesIEEE International Conference on Computer Vision (ICCV), 2023
Jialiang Tang
Shuo Chen
Gang Niu
Masashi Sugiyama
Chenggui Gong
100
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0
21 Jul 2023
Quantized Feature Distillation for Network Quantization
Quantized Feature Distillation for Network QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Kevin Zhu
Yin He
Jianxin Wu
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95
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20 Jul 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and ApplicationsACM Computing Surveys (ACM Comput. Surv.), 2023
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
189
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20 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the
  Data-Scarce Edge
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce EdgeInternational Conference on Machine Learning (ICML), 2023
Young D. Kwon
Rui Li
Stylianos I. Venieris
Jagmohan Chauhan
Nicholas D. Lane
Cecilia Mascolo
155
19
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19 Jul 2023
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for
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DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification
Guandong Li
67
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13 Jul 2023
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised
  Feature Compressor
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature CompressorCerebral Cortex (Cereb Cortex), 2023
Zhuowen Yin
Xinyao Ding
Xin Zhang
Zhengwang Wu
Liwen Wang
Xiangmin Xu
Gang Li
192
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0
12 Jul 2023
Number Systems for Deep Neural Network Architectures: A Survey
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Ghada Alsuhli
Vasileios Sakellariou
H. Saleh
Mahmoud Al-Qutayri
Baker Mohammad
T. Stouraitis
131
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0
11 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through
  Estimators
Injecting Logical Constraints into Neural Networks via Straight-Through EstimatorsInternational Conference on Machine Learning (ICML), 2023
Zhun Yang
Joohyung Lee
Chi-youn Park
142
23
0
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Learning Discrete Weights and Activations Using the Local
  Reparameterization Trick
Learning Discrete Weights and Activations Using the Local Reparameterization Trick
G. Berger
Aviv Navon
Ethan Fetaya
MQ
74
0
0
04 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Data-Free Quantization via Mixed-Precision Compensation without Fine-TuningPattern Recognition (Pattern Recogn.), 2023
Jun Chen
Shipeng Bai
Tianxin Huang
Mengmeng Wang
Guanzhong Tian
Y. Liu
MQ
193
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0
02 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential
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Shaohui Lin
Hao Wu
Jiao Xie
Baochang Zhang
Chunjiang Ge
Zhou Yu
Jungong Han
David Doermann
134
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01 Jul 2023
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural
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Hao Sun
Lei Hsiung
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121
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Streaming egocentric action anticipation: An evaluation scheme and
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Antonino Furnari
G. Farinella
EgoV
97
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29 Jun 2023
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional
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Phuoc-Hoan Charles Le
Xinlin Li
ViTMQ
124
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DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit
  CNNs
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Yanjing Li
Sheng Xu
Xianbin Cao
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Tian Wang
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134
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Binary domain generalization for sparsifying binary neural networks
Binary domain generalization for sparsifying binary neural networks
Riccardo Schiavone
Francesco Galati
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125
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Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network
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Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics ImplementationIEEE transactions on nanotechnology (IEEE Trans. Nanotechnol.), 2023
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
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112
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Neural Network Compression using Binarization and Few Full-Precision
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F. M. Nardini
Cosimo Rulli
Salvatore Trani
Rossano Venturini
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180
1
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15 Jun 2023
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