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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"

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Binarized Neural Machine TranslationNeural Information Processing Systems (NeurIPS), 2023 Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 120 20 0 09 Feb 2023
CRAFT: Criticality-Aware Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural NetworksIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023 Thai-Hoang Nguyen Muhammad Imran Jaehyuk Choi Joongseob Yang 48 3 0 08 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 217 337 1 07 Feb 2023
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An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural NetworksIEEE International Symposium on Quality Electronic Design (ISQED), 2023 Sairam Sri Vatsavai Venkata Sai Praneeth Karempudi Ishan G. Thakkar MQ 156 6 0 03 Feb 2023
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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 171 7 0 30 Jan 2023
Self-Compressing Neural Networks Szabolcs Cséfalvay J. Imber 109 3 0 30 Jan 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-EfficientInternational Conference on Machine Learning (ICML), 2023 Max Ryabinin Tim Dettmers Michael Diskin Alexander Borzunov MoE 216 50 0 27 Jan 2023
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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 150 11 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 176 3 0 15 Jan 2023
BiMLP: Compact Binary Architectures for Vision Multi-Layer PerceptronsNeural Information Processing Systems (NeurIPS), 2022 Yixing Xu Xinghao Chen Yunhe Wang MQ 145 8 0 29 Dec 2022
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 109 4 0 28 Dec 2022
Hyperspherical Quantization: Toward Smaller and More Accurate ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dan Liu X. Chen Chen Ma Xue Liu MQ 137 4 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 97 0 0 24 Dec 2022
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Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu Peter A. Beerel 167 11 0 20 Dec 2022
The case for 4-bit precision: k-bit Inference Scaling LawsInternational Conference on Machine Learning (ICML), 2022 Tim Dettmers Luke Zettlemoyer MQ 249 268 0 19 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 125 0 0 19 Dec 2022
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MinUn: Accurate ML Inference on MicrocontrollersACM SIGPLAN Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2022 Shikhar Jaiswal R. Goli Aayan Kumar Vivek Seshadri Rahul Sharma 184 5 0 29 Oct 2022
Neural Networks with Quantization ConstraintsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Ignacio Hounie Juan Elenter Alejandro Ribeiro MQ 115 7 0 27 Oct 2022

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

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