XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 773 papers shown

Title
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 25 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 44 18 0 02 Jul 2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Yunhang Shen Zhou Yu Jungong Han David Doermann 25 2 0 01 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 31 4 0 25 May 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 34 1 0 18 May 2023
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 63 22 0 04 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
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 25 4 0 11 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 40 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 32 0 0 07 Apr 2023
Optimizing data-flow in Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 22 5 0 03 Apr 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Xiuwei Xu Ziwei Wang Jie Zhou Jiwen Lu 3DPC MQ 40 6 0 27 Mar 2023
Architecturing Binarized Neural Networks for Traffic Sign Recognition Andreea Postovan Madalina Erascu 33 4 0 27 Mar 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds Xiaoting Wang Yanxiang Zhang Yongzhen Zhang 36 5 0 20 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 34 9 0 09 Mar 2023
Scalable Object Detection on Embedded Devices Using Weight Pruning and Singular Value Decomposition D. Ham Jaeyeop Jeong June-Kyoo Park Raehyeon Jeong S. Jeon Hyeongjun Jeon Ye-Eun Lim 22 0 0 05 Mar 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 48 9 0 28 Feb 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 22 20 0 27 Feb 2023
Efficient Multitask Learning on Resource-Constrained Systems Yubo Luo Le Zhang Zhenyu Wang S. Nirjon 17 9 0 25 Feb 2023
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference Jiajun Zhou Jiajun Wu Yizhao Gao Yuhao Ding Chaofan Tao Bo-wen Li Fengbin Tu Kwang-Ting Cheng Hayden Kwok-Hay So Ngai Wong MQ 32 7 0 24 Feb 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference Farhad Taheri Siavash Bayat Sarmadi H. Mosanaei-Boorani Reza Taheri MQ 23 1 0 19 Feb 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators Malte J. Rasch C. Mackin Manuel Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr Abu Sebastian Vijay Narayanan 18 86 0 16 Feb 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 34 14 0 09 Feb 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yong-Jin Liu 35 2 0 07 Feb 2023
An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar MQ 28 4 0 03 Feb 2023
Resilient Binary Neural Network Sheng Xu Yanjing Li Teli Ma Mingbao Lin Hao Dong Baochang Zhang Penglei Gao Jinhu Lv MQ OOD 47 16 0 02 Feb 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 23 4 0 30 Jan 2023
Self-Compressing Neural Networks Szabolcs Cséfalvay J. Imber 24 2 0 30 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 35 31 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 53 2 0 26 Jan 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 49 36 0 26 Jan 2023
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks Jinqi Xiao Chengming Zhang Yu Gong Miao Yin Yang Sui Lizhi Xiang Dingwen Tao Bo Yuan 29 19 0 20 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
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 35 3 0 24 Dec 2022
Redistribution of Weights and Activations for AdderNet Quantization Ying Nie Kai Han Haikang Diao Chuanjian Liu Enhua Wu Yunhe Wang MQ 58 6 0 20 Dec 2022
The case for 4-bit precision: k-bit Inference Scaling Laws Tim Dettmers Luke Zettlemoyer MQ 27 218 0 19 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 32 0 0 19 Dec 2022
Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho Byeonghyeon Lee Seungtae Nam J. Lee J. Ko Eunbyung Park 49 52 0 18 Dec 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System Bo Ji Tianyi Chen 26 3 0 17 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 21 0 0 16 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 162 9 0 12 Dec 2022
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification Lirui Xiao Huanrui Yang Zhen Dong Kurt Keutzer Li Du Shanghang Zhang MQ 29 10 0 06 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 35 7 0 30 Nov 2022
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 21 1 0 25 Nov 2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket Nianhui Guo Joseph Bethge Christoph Meinel Haojin Yang MQ 39 20 0 23 Nov 2022