XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 564 papers shown

Title
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs Lukas Meiner Jens Mehnert A. P. Condurache MQ 42 0 0 06 May 2025
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks Quynh Nguyen Phuong Vu Luciano S. Martinez-Rau Yuxuan Zhang Nho-Duc Tran Bengt Oelmann Michele Magno Sebastian Bader CLL 38 0 0 05 May 2025
Practical Boolean Backpropagation Simon Golbert 25 0 0 01 May 2025
Optimizing Deep Neural Networks using Safety-Guided Self Compression Mohammad Zbeeb Mariam Salman Mohammad Bazzi Ammar Mohanna 28 0 0 01 May 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 34 0 0 23 Apr 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection Biqiao Xin Qianchen Mao Bingshu Wang Jiangbin Zheng Yong Zhao C. L. P. Chen MQ 64 0 0 04 Mar 2025
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 41 0 0 03 Mar 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism Yu Liang Wenjie Wei A. Belatreche Honglin Cao Zijian Zhou Shuai Wang Malu Zhang Y. Yang MQ 63 0 0 21 Feb 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 75 1 0 17 Feb 2025
Progressive Binarization with Semi-Structured Pruning for LLMs X. Yan Tianao Zhang Zhiteng Li Yulun Zhang MQ 54 0 0 03 Feb 2025
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning Zhen Li Yupeng Su Runming Yang C. Xie Z. Wang Zhongwei Xie Ngai Wong Hongxia Yang MQ LRM 44 3 0 06 Jan 2025
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen Wei Tao Dongyue Zhao Kazuhiro Mima Tadayuki Ito Kinya Osa Masami Kato MQ 31 0 0 03 Jan 2025
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference Zihao Zheng Yuanchun Li Jiayu Chen Peng Zhou Xiang Chen Yunxin Liu 75 0 0 18 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Muhammad Shafique AAML 74 0 0 22 Nov 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 31 1 0 10 Oct 2024
Mixture Compressor for Mixture-of-Experts LLMs Gains More Wei Huang Yue Liao Jianhui Liu Ruifei He Haoru Tan Shiming Zhang Hongsheng Li Si Liu Xiaojuan Qi MoE 39 3 0 08 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li X. Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Zhongchao Shi Linghe Kong Yulun Zhang Xiaokang Yang MQ 29 2 0 04 Oct 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 48 1 0 29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 49 0 0 28 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 40 0 0 20 Jul 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 38 1 0 15 Jul 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems Georg Rutishauser Joan Mihali Moritz Scherer Luca Benini 26 1 0 29 May 2024
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network Zongkai Zhang Zidong Xu Wenming Yang Qingmin Liao Jing-Hao Xue MQ 3DV 46 1 0 27 May 2024
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Jianting Yang Srecko Ðurasinovic Jean B. Lasserre Victor Magron Jun Zhao AAML 39 1 0 27 May 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 37 0 0 25 May 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 45 2 0 23 May 2024
Designed Dithering Sign Activation for Binary Neural Networks Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 35 1 0 03 May 2024
Binarized Low-light Raw Video Enhancement Gengchen Zhang Yulun Zhang Xin Yuan Ying Fu MQ 32 3 0 29 Mar 2024
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 54 0 0 04 Dec 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models Yushi Huang Ruihao Gong Jing Liu Tianlong Chen Xianglong Liu DiffM MQ 22 37 0 27 Nov 2023
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline Jayeeta Mondal Swarnava Dey Arijit Mukherjee MQ 23 1 0 10 Nov 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 24 3 0 09 Nov 2023
NOLA: Compressing LoRA using Linear Combination of Random Basis Soroush Abbasi Koohpayegani K. Navaneet Parsa Nooralinejad Soheil Kolouri Hamed Pirsiavash 40 12 0 04 Oct 2023
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 21 6 0 02 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition Samuel Horváth Stefanos Laskaridis Shashank Rajput Hongyi Wang BDL 32 4 0 28 Aug 2023
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 29 9 0 20 Jul 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 29 3 0 20 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 22 18 0 10 Jul 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 22 0 0 04 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 34 18 0 02 Jul 2023
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration Ahmed F. AbouElhamayed Angela Cui Javier Fernandez-Marques Nicholas D. Lane Mohamed S. Abdelfattah MQ 23 4 0 25 May 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 27 1 0 18 May 2023
Photonic Advantage of Optical Encoders Luocheng Huang Quentin A. A. Tanguy Johannes E. Froch Saswata Mukherjee K. Böhringer A. Majumdar 29 21 0 02 May 2023
CORSD: Class-Oriented Relational Self Distillation Muzhou Yu S. Tan Kailu Wu Runpei Dong Linfeng Zhang Kaisheng Ma 24 0 0 28 Apr 2023
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors Zichao Shen Neil Howard J. Núñez-Yáñez 18 2 0 19 Apr 2023
A priori compression of convolutional neural networks for wave simulators Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 18 2 0 11 Apr 2023
Training Neural Networks for Execution on Approximate Hardware Tianmu Li Shurui Li Puneet Gupta 27 1 0 08 Apr 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 27 0 0 07 Apr 2023