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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXivPDFHTML

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

50 / 775 papers shown
Title
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking
  Neural Networks
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
Yuhang Li
Ruokai Yin
Hyoungseob Park
Youngeun Kim
Priyadarshini Panda
26
14
0
14 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
35
1
0
14 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer
BiViT: Extremely Compressed Binary Vision Transformer
Yefei He
Zhenyu Lou
Luoming Zhang
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
ViT
MQ
28
28
0
14 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to
  Real-Network Performance
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin
Xudong Ma
Yifu Ding
Xiaochen 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
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
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
34
4
0
07 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Zhekai Zhang
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
40
45
0
03 Nov 2022
MinUn: Accurate ML Inference on Microcontrollers
MinUn: Accurate ML Inference on Microcontrollers
Shikhar Jaiswal
R. Goli
Aayan Kumar
Vivek Seshadri
Rahul Sharma
29
2
0
29 Oct 2022
Collaborative Multi-Teacher Knowledge Distillation for Learning Low
  Bit-width Deep Neural Networks
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks
Cuong Pham
Tuan Hoang
Thanh-Toan Do
FedML
MQ
40
14
0
27 Oct 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena
Hadi Jamali Rad
Jan van Gemert
MQ
42
3
0
25 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix
  Factorization
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar
M. Kahaei
MQ
33
0
0
24 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization
ODG-Q: Robust Quantization via Online Domain Generalization
Chaofan Tao
Ngai Wong
MQ
44
1
0
17 Oct 2022
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
Keivan Nalaie
Rong Zheng
VOT
26
5
0
16 Oct 2022
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image
  Segmentation
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation
T. M. Khan
Muhammad Arsalan
A. Robles-Kelly
Erik H. W. Meijering
SSeg
23
15
0
15 Oct 2022
Turbo Training with Token Dropout
Turbo Training with Token Dropout
Tengda Han
Weidi Xie
Andrew Zisserman
ViT
39
10
0
10 Oct 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of
  Large-Scale Pre-Trained Language Models
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
S. Kwon
Jeonghoon Kim
Jeongin Bae
Kang Min Yoo
Jin-Hwa Kim
Baeseong Park
Byeongwook Kim
Jung-Woo Ha
Nako Sung
Dongsoo Lee
MQ
38
30
0
08 Oct 2022
A Closer Look at Hardware-Friendly Weight Quantization
A Closer Look at Hardware-Friendly Weight Quantization
Sungmin Bae
Piotr Zielinski
S. Chatterjee
MQ
32
0
0
07 Oct 2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit
  Detectors
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Sheng Xu
Yanjing Li
Bo-Wen Zeng
Teli Ma
Baochang Zhang
Xianbin Cao
Penglei Gao
Jinhu Lv
30
15
0
07 Oct 2022
Convolutional Neural Networks Quantization with Attention
Convolutional Neural Networks Quantization with Attention
Binyi Wu
Bernd Waschneck
Christian Mayr
MQ
24
1
0
30 Sep 2022
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
34
5
0
27 Sep 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf
Yotam Gurfinkel
Barak Diker
O. Gal
Daniela Rus
Dan Feldman
32
5
0
21 Sep 2022
Accelerating Neural Network Inference with Processing-in-DRAM: From the
  Edge to the Cloud
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud
Geraldo F. Oliveira
Juan Gómez Luna
Saugata Ghose
Amirali Boroumand
O. Mutlu
34
24
0
19 Sep 2022
Improving the Performance of DNN-based Software Services using Automated
  Layer Caching
Improving the Performance of DNN-based Software Services using Automated Layer Caching
M. Abedi
Yanni Iouannou
Pooyan Jamshidi
Hadi Hemmati
28
0
0
18 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
38
4
0
15 Sep 2022
Efficient Quantized Sparse Matrix Operations on Tensor Cores
Efficient Quantized Sparse Matrix Operations on Tensor Cores
Shigang Li
Kazuki Osawa
Torsten Hoefler
82
31
0
14 Sep 2022
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for
  Vision Transformers
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers
Zhikai Li
Mengjuan Chen
Junrui Xiao
Qingyi Gu
ViT
MQ
58
33
0
13 Sep 2022
FP8 Formats for Deep Learning
FP8 Formats for Deep Learning
Paulius Micikevicius
Dusan Stosic
N. Burgess
Marius Cornea
Pradeep Dubey
...
Naveen Mellempudi
S. Oberman
Mohammad Shoeybi
Michael Siu
Hao Wu
BDL
VLM
MQ
77
126
0
12 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
257
318
0
11 Sep 2022
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method
Varun Mannam
13
0
0
06 Sep 2022
How important are activation functions in regression and classification?
  A survey, performance comparison, and future directions
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Ameya Dilip Jagtap
George Karniadakis
AI4CE
45
71
0
06 Sep 2022
Recurrent Bilinear Optimization for Binary Neural Networks
Recurrent Bilinear Optimization for Binary Neural Networks
Sheng Xu
Yanjing Li
Tian Wang
Teli Ma
Baochang Zhang
Peng Gao
Yu Qiao
Jinhu Lv
Guodong Guo
MQ
25
14
0
04 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
38
17
0
29 Aug 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
42
1
0
18 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
36
54
0
17 Aug 2022
PECAN: A Product-Quantized Content Addressable Memory Network
PECAN: A Product-Quantized Content Addressable Memory Network
Jie Ran
R. Lin
Jason Chun Lok Li
Jiajun Zhou
Ngai Wong
MQ
49
7
0
13 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
30
11
0
11 Aug 2022
Differentiable Inference of Temporal Logic Formulas
Differentiable Inference of Temporal Logic Formulas
Nicole Fronda
Houssam Abbas
18
5
0
10 Aug 2022
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision
  Transformer with Mixed-Scheme Quantization
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
Zechao Li
Mengshu Sun
Alec Lu
Haoyu Ma
Geng Yuan
...
Yanyu Li
M. Leeser
Zhangyang Wang
Xue Lin
Zhenman Fang
ViT
MQ
28
52
0
10 Aug 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for
  Energy-Efficient Low-precision Deep Convolutional Neural Networks
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks
Muhammad Abdullah Hanif
G. M. Sarda
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
MQ
35
4
0
31 Jul 2022
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion
  Recognition
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition
Ye Qiao
Mohammed Alnemari
N. Bagherzadeh
MQ
19
7
0
26 Jul 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
16
19
0
13 Jul 2022
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded
  Chipsets
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets
Lu Zeng
S. Parthasarathi
Yuzong Liu
Alex Escott
S. Cheekatmalla
N. Strom
S. Vitaladevuni
MQ
36
5
0
13 Jul 2022
Normalized Feature Distillation for Semantic Segmentation
Normalized Feature Distillation for Semantic Segmentation
Tao Liu
Xi Yang
Chenshu Chen
9
5
0
12 Jul 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated
  Transformation
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geondo Park
Jaehong Yoon
Hai-Feng Zhang
Xingge Zhang
Sung Ju Hwang
Yonina C. Eldar
MQ
31
1
0
04 Jul 2022
DRESS: Dynamic REal-time Sparse Subnets
DRESS: Dynamic REal-time Sparse Subnets
Zhongnan Qu
Syed Shakib Sarwar
Xin Dong
Yuecheng Li
Huseyin Ekin Sumbul
B. D. Salvo
3DH
23
1
0
01 Jul 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
26
7
0
17 Jun 2022
Why Quantization Improves Generalization: NTK of Binary Weight Neural
  Networks
Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks
Kaiqi Zhang
Ming Yin
Yu Wang
MQ
29
4
0
13 Jun 2022
Combinatorial optimization for low bit-width neural networks
Combinatorial optimization for low bit-width neural networks
Hanxu Zhou
Aida Ashrafi
Matthew B. Blaschko
MQ
24
0
0
04 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
41
19
0
02 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating
Gator: Customizable Channel Pruning of Neural Networks with Gating
E. Passov
E. David
N. Netanyahu
AAML
45
0
0
30 May 2022
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