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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 / 1,731 papers shown
Title
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish
Kamal Gupta
Abhinav Shrivastava
3DGS
97
93
0
07 Dec 2023
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar
Yash Jain
Alexey Tumanov
MQ
112
0
0
04 Dec 2023
Low-Precision Mixed-Computation Models for Inference on Edge
Low-Precision Mixed-Computation Models for Inference on Edge
Seyedarmin Azizi
M. Nazemi
M. Kamal
Massoud Pedram
MQ
88
3
0
03 Dec 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using
  Stochastic Scale
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
UQCVBDL
80
7
0
27 Nov 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
Yushi Huang
Ruihao Gong
Jing Liu
Tianlong Chen
Xianglong Liu
DiffMMQ
116
41
0
27 Nov 2023
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
Zhiteng Li
Yulun Zhang
Jing Lin
Haotong Qin
Jinjin Gu
Xin Yuan
Linghe Kong
Xiaokang Yang
3DH
144
1
0
24 Nov 2023
Synaptic Sampling of Neural Networks
Synaptic Sampling of Neural Networks
J. Aimone
William M. Severa
J. D. Smith
BDL
53
1
0
21 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
99
10
0
20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded
  Computing Platforms
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
89
13
0
19 Nov 2023
LightBTSeg: A lightweight breast tumor segmentation model using
  ultrasound images via dual-path joint knowledge distillation
LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation
Hongjiang Guo
Shengwen Wang
Hao Dang
Kangle Xiao
Yaru Yang
Wenpei Liu
Tongtong Liu
Yiying Wan
79
2
0
18 Nov 2023
Evolutionary algorithms as an alternative to backpropagation for
  supervised training of Biophysical Neural Networks and Neural ODEs
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
103
2
0
17 Nov 2023
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr
Josef Stumpfegger
Rüdiger Westermann
3DGS
121
122
0
17 Nov 2023
Boolean Variation and Boolean Logic BackPropagation
Boolean Variation and Boolean Logic BackPropagation
Van Minh Nguyen
101
2
0
13 Nov 2023
Quantized Distillation: Optimizing Driver Activity Recognition Models
  for Resource-Constrained Environments
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments
Calvin Tanama
Kunyu Peng
Zdravko Marinov
Rainer Stiefelhagen
Alina Roitberg
75
1
0
10 Nov 2023
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep
  Learning Inference Pipeline
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline
Jayeeta Mondal
Swarnava Dey
Arijit Mukherjee
MQ
69
1
0
10 Nov 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced
  Network Efficiency
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency
Akrit Mudvari
Antero Vainio
Iason Ofeidis
Sasu Tarkoma
Leandros Tassiulas
85
3
0
09 Nov 2023
Compression with Exact Error Distribution for Federated Learning
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy
Rémi Leluc
Cheuk Ting Li
Hadrien Hendrikx
FedML
68
11
0
31 Oct 2023
Stochastic Configuration Machines: FPGA Implementation
Stochastic Configuration Machines: FPGA Implementation
Matthew J. Felicetti
Dianhui Wang
60
3
0
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 Segmentation
Haoran Shen
Yifu Zhang
Wenxuan Wang
Chen Chen
Jing Liu
Shanshan Song
Jiangyun Li
MedIm
72
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
Peng Cheng
MQ
113
45
0
27 Oct 2023
CMOS-based Single-Cycle In-Memory XOR/XNOR
CMOS-based Single-Cycle In-Memory XOR/XNOR
Shamiul Alam
Jack Hutchins
Nikhil Shukla
Kazi Asifuzzaman
A. Aziz
16
3
0
26 Oct 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Arno Solin
Tat-Jun Chin
Tolga Birdal
MQ
179
2
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
100
119
0
17 Oct 2023
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence
  Classification
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification
Junjie Dong
Mudi Jiang
Lianyu Hu
Zengyou He
72
0
0
16 Oct 2023
LEMON: Lossless model expansion
LEMON: Lossless model expansion
Yite Wang
Jiahao Su
Hanlin Lu
Cong Xie
Tianyi Liu
Jianbo Yuan
Yanghua Peng
Ruoyu Sun
Hongxia Yang
77
14
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
83
0
0
11 Oct 2023
Taming Binarized Neural Networks and Mixed-Integer Programs
Taming Binarized Neural Networks and Mixed-Integer Programs
Johannes Aspman
Georgios Korpas
Georgios Korpas
AI4CE
95
7
0
05 Oct 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis
NOLA: Compressing LoRA using Linear Combination of Random Basis
Soroush Abbasi Koohpayegani
K. Navaneet
Parsa Nooralinejad
Soheil Kolouri
Hamed Pirsiavash
156
16
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
78
3
0
04 Oct 2023
PB-LLM: Partially Binarized Large Language Models
PB-LLM: Partially Binarized Large Language Models
Yuzhang Shang
Zhihang Yuan
Qiang Wu
Zhen Dong
MQ
104
49
0
29 Sep 2023
SupeRBNN: Randomized Binary Neural Network Using Adiabatic
  Superconductor Josephson Devices
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
Hao Sun
Geng Yuan
Tomoharu Yamauchi
Zabihi Masoud
Yanyue Xie
...
Xulong Tang
Nobuyuki Yoshikawa
Devesh Tiwari
Yanzhi Wang
O. Chen
MQ
83
4
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
91
29
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
Siyu Zhu
S. Keerthi
Rahul Mazumder
MQ
107
21
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 Models
Minsik Cho
Keivan Alizadeh Vahid
Qichen Fu
Saurabh N. Adya
C. C. D. Mundo
Mohammad Rastegari
Devang Naik
Peter Zatloukal
MQ
97
7
0
02 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
93
4
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
144
21
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 Tree
Quang Hieu Vo
Linh-Tam Tran
Sung-Ho Bae
Lokwon Kim
Choong Seon Hong
MQ
94
1
0
26 Aug 2023
Eventful Transformers: Leveraging Temporal Redundancy in Vision
  Transformers
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Matthew Dutson
Yin Li
M. Gupta
ViT
89
10
0
25 Aug 2023
Stochastic Configuration Machines for Industrial Artificial Intelligence
Stochastic Configuration Machines for Industrial Artificial Intelligence
Dianhui Wang
Matthew J. Felicetti
AI4CE
94
9
0
25 Aug 2023
Vision Transformer Pruning Via Matrix Decomposition
Vision Transformer Pruning Via Matrix Decomposition
Tianyi Sun
56
0
0
21 Aug 2023
A Survey on Model Compression for Large Language Models
A Survey on Model Compression for Large Language Models
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
143
233
0
15 Aug 2023
Unified Data-Free Compression: Pruning and Quantization without
  Fine-Tuning
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
Shipeng Bai
Jun Chen
Xintian Shen
Yixuan Qian
Yong Liu
MQ
104
15
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 Training
Xiao-Ming Wu
Dian Zheng
Zuhao Liu
Weishi Zheng
MQ
120
18
0
13 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett
Hossein Shirazi
I. Ray
AI4TS
88
15
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
65
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 Redundancy
Shibo Jie
Haoqing Wang
Zhiwei Deng
76
34
0
31 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 Models
Kecheng Zheng
Wei Wu
Ruili Feng
Kai Zhu
Jiawei Liu
Deli Zhao
Zhengjun Zha
Wei Chen
Yujun Shen
VLM
75
9
0
27 Jul 2023
An Estimator for the Sensitivity to Perturbations of Deep Neural
  Networks
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks
Naman Maheshwari
Nicholas Malaya
Scott A. Moe
J. Kulkarni
S. Gurumurthi
AAML
44
0
0
24 Jul 2023
Distribution Shift Matters for Knowledge Distillation with Webly
  Collected Images
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
Jialiang Tang
Shuo Chen
Gang Niu
Masashi Sugiyama
Chenggui Gong
76
14
0
21 Jul 2023
Quantized Feature Distillation for Network Quantization
Quantized Feature Distillation for Network Quantization
Kevin Zhu
Yin He
Jianxin Wu
MQ
73
11
0
20 Jul 2023
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