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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 1,731 papers shown

Title
Compacting Binary Neural Networks by Sparse Kernel Selection Yikai Wang Wen-bing Huang Yinpeng Dong Gang Hua Anbang Yao MQ 102 5 0 25 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 72 1 0 24 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds Xiaoting Wang Yanxiang Zhang Yongzhen Zhang 96 6 0 20 Mar 2023
Bag of Tricks with Quantized Convolutional Neural Networks for image classification Jie Hu Mengze Zeng Enhua Wu MQ 69 2 0 13 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 86 9 0 09 Mar 2023
Filter Pruning based on Information Capacity and Independence Xiaolong Tang Shuo Ye Yufeng Shi Tianheng Hu Qinmu Peng Xinge You VLM 83 1 0 07 Mar 2023
Globally Optimal Training of Neural Networks with Threshold Activation Functions Tolga Ergen Halil Ibrahim Gulluk Jonathan Lacotte Mert Pilanci 117 8 0 06 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 47 0 0 05 Mar 2023
Understanding weight-magnitude hyperparameters in training binary networks Joris Quist Yun-qiang Li Jan van Gemert MQ 77 0 0 04 Mar 2023
BPT: Binary Point Cloud Transformer for Place Recognition Zhixing Hou Yuzhang Shang Tian Gao Yan Yan MQ ViT 89 3 0 02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 128 147 0 01 Mar 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 101 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 99 22 0 27 Feb 2023
Efficient Multitask Learning on Resource-Constrained Systems Yubo Luo Le Zhang Zhenyu Wang S. Nirjon 64 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 Yue Liu Fengbin Tu Kwang-Ting Cheng Hayden Kwok-Hay So Ngai Wong MQ 73 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 39 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 73 97 0 16 Feb 2023
Stitchable Neural Networks Zizheng Pan Jianfei Cai Bohan Zhuang 108 26 0 13 Feb 2023
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data Zhijian Li Biao Yang Penghang Yin Y. Qi Jack Xin MQ 62 2 0 10 Feb 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 76 14 0 09 Feb 2023
CRAFT: Criticality-Aware Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks Thai-Hoang Nguyen Muhammad Imran Jaehyuk Choi Joongseob Yang 31 3 0 08 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 142 274 1 07 Feb 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Yang Liu 120 4 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 81 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 105 17 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 89 4 0 30 Jan 2023
Self-Compressing Neural Networks Szabolcs Cséfalvay J. Imber 56 3 0 30 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 111 39 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 124 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 117 38 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 111 20 0 20 Jan 2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition Juan Carrasquilla Mohamed Hibat-Allah E. Inack Alireza Makhzani Kirill Neklyudov Graham Taylor G. Torlai MQ 84 9 0 19 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 102 2 0 15 Jan 2023
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons Yixing Xu Xinghao Chen Yunhe Wang MQ 77 8 0 29 Dec 2022
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 77 3 0 28 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 75 3 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 65 0 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 98 6 0 20 Dec 2022
Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu Peter A. Beerel 99 9 0 20 Dec 2022
The case for 4-bit precision: k-bit Inference Scaling Laws Tim Dettmers Luke Zettlemoyer MQ 121 236 0 19 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 77 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 99 53 0 18 Dec 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System Bo Ji Tianyi Chen 72 3 0 17 Dec 2022
Atrous Space Bender U-Net (ASBU-Net/LogiNet) Anurag Bansal O. Ostap Miguel Maestre Trueba Kristopher Perry SSeg 131 1 0 16 Dec 2022
Efficient Speech Representation Learning with Low-Bit Quantization Ching-Feng Yeh Wei-Ning Hsu Paden Tomasello Abdel-rahman Mohamed MQ 62 10 0 14 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 323 11 0 12 Dec 2022
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer Sheng Su Lin Gu Yue Yang Ze Zhang Tatsuya Harada 89 1 0 07 Dec 2022
Slimmable Pruned Neural Networks Hideaki Kuratsu Atsuyoshi Nakamura 111 2 0 07 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 80 10 0 06 Dec 2022
Boosted Dynamic Neural Networks Haichao Yu Haoxiang Li G. Hua Gao Huang Humphrey Shi 105 9 0 30 Nov 2022