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
Optimizing data-flow in Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 11 5 0 03 Apr 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Xiuwei Xu Ziwei Wang Jie Zhou Jiwen Lu 3DPC MQ 29 6 0 27 Mar 2023
Architecturing Binarized Neural Networks for Traffic Sign Recognition Andreea Postovan Madalina Erascu 25 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
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 32 8 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 14 0 0 05 Mar 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 40 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
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 16 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 18 1 0 19 Feb 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators M. Rasch C. Mackin M. Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr A. Sebastian V. Narayanan 13 83 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 Y. Liu 22 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 21 4 0 03 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 20 4 0 30 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 27 31 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu F. I. F. Richard Yu Xianglong Liu MQ AAML 32 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 16 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 15 1 0 15 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen-li Ma Xue Liu MQ 24 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 49 6 0 20 Dec 2022
Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho Byeonghyeon Lee Seungtae Nam J. Lee J. Ko Eunbyung Park 41 52 0 18 Dec 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System Bo Ji Tianyi Chen 20 3 0 17 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 11 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 101 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 27 10 0 06 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 30 7 0 30 Nov 2022
Signed Binary Weight Networks Sachit Kuhar Alexey Tumanov Judy Hoffman MQ 13 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 31 19 0 23 Nov 2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks Yuhang Li Ruokai Yin Hyoungseob Park Youngeun Kim Priyadarshini Panda 18 14 0 14 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer Yefei He Zhenyu Lou Luoming Zhang Jing Liu Weijia Wu Hong Zhou Bohan Zhuang ViT MQ 20 28 0 14 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance Haotong Qin Xudong Ma Yifu Ding X. 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 Udbhav Bamba Neeraj Anand Saksham Aggarwal Dilip K Prasad D. K. Gupta MQ 17 0 0 12 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 29 4 0 07 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li Ji Lin Chenlin Meng Stefano Ermon Song Han Jun-Yan Zhu DiffM 34 45 0 03 Nov 2022
MinUn: Accurate ML Inference on Microcontrollers Shikhar Jaiswal R. Goli Aayan Kumar Vivek Seshadri Rahul Sharma 23 2 0 29 Oct 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks Sieger Falkena Hadi Jamali Rad J. C. V. Gemert MQ 28 3 0 25 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization Alireza Bordbar M. Kahaei MQ 25 0 0 24 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 31 1 0 17 Oct 2022
AttTrack: Online Deep Attention Transfer for Multi-object Tracking Keivan Nalaie Rong Zheng VOT 11 4 0 16 Oct 2022
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 20 15 0 15 Oct 2022
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 23 30 0 08 Oct 2022
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 Binyi Wu Bernd Waschneck Christian Mayr MQ 16 1 0 30 Sep 2022
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning Juan Miguel Valverde Artem Shatillo Jussi Tohka AAML 26 5 0 27 Sep 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture Alaa Maalouf Yotam Gurfinkel Barak Diker O. Gal Daniela Rus Dan Feldman 16 5 0 21 Sep 2022
Neural Networks Reduction via Lumping Dalila Ressi Riccardo Romanello S. Rossi Carla Piazza 30 4 0 15 Sep 2022
Efficient Quantized Sparse Matrix Operations on Tensor Cores Shigang Li Kazuki Osawa Torsten Hoefler 74 31 0 14 Sep 2022
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 43 33 0 13 Sep 2022