Papers citing 'How Do Adam and Training Strategies Help BNNs Optimization?'

Title
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks Qingyan Meng Mingqing Xiao Zhengyu Ma Huihui Zhou Yonghong Tian Zhouchen Lin MQ 116 0 0 18 Aug 2025
A Langevin sampling algorithm inspired by the Adam optimizer Benedict Leimkuhler René Lohmann Peter Whalley 342 2 0 26 Apr 2025
Expanding-and-Shrinking Binary Neural Networks Xulong Shi Caiyi Sun Zhi Qi Liu Hao Xiaodong Yang MQ 301 1 0 31 Mar 2025
Robust Training of Neural Networks at Arbitrary Precision and Sparsity Chengxi Ye Grace Chu Yanfeng Liu Yichi Zhang Lukasz Lew Li Zhang Mark Sandler Andrew G. Howard MQ 114 2 0 14 Sep 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation Liqun Ma Mingjie Sun Zhiqiang Shen 175 11 0 09 Jul 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks Jingyang Xiang Zuohui Chen Siqi Li Qing Wu Yong-Jin Liu 200 3 0 07 Jul 2024
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization Xiumei Deng Jun Li Kang Wei Long Shi Zeihui Xiong Ming Ding Wen Chen Shi Jin H. Vincent Poor FedML 188 1 0 28 May 2024
Efficient Multitask Dense Predictor via BinarizationComputer Vision and Pattern Recognition (CVPR), 2024 Yuzhang Shang Dan Xu Gaowen Liu Ramana Rao Kompella Yan Yan MQ AAML 291 5 0 23 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 270 5 0 08 May 2024
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNsInternational Journal of Computer Vision (IJCV), 2023 Yanjing Li Sheng Xu Xianbin Cao Lian Zhuo Baochang Zhang Tian Wang Guodong Guo 162 3 0 27 Jun 2023
Binary domain generalization for sparsifying binary neural networks Riccardo Schiavone Francesco Galati Maria A. Zuluaga MQ 173 1 0 23 Jun 2023
Optimizing data-flow in Binary Neural NetworksItalian National Conference on Sensors (INS), 2023 Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 156 6 0 03 Apr 2023
Robotic Packaging Optimization with Reinforcement Learning E. Drijver Rodrigo Pérez-Dattari Jens Kober Cosimo Della Santina Zlatan Ajanović OffRL 147 2 0 26 Mar 2023
Binarized Neural Machine TranslationNeural Information Processing Systems (NeurIPS), 2023 Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 138 20 0 09 Feb 2023
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket Nianhui Guo Joseph Bethge Christoph Meinel Haojin Yang MQ 308 21 0 23 Nov 2022
BiViT: Extremely Compressed Binary Vision TransformerIEEE International Conference on Computer Vision (ICCV), 2022 Yefei He Zhenyu Lou Luoming Zhang Jing Liu Weijia Wu Hong Zhou Bohan Zhuang ViT MQ 220 38 0 14 Nov 2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning Jiehua Zhang Xueyang Zhang Z. Su Zitong Yu Yanghe Feng Xin Lu M. Pietikäinen Li Liu MQ 233 0 0 04 Nov 2022
LAB: Learnable Activation Binarizer for Binary Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Sieger Falkena Hadi Jamali Rad Jan van Gemert MQ 192 3 0 25 Oct 2022
Convolutional Neural Networks Quantization with AttentionInternational Journal of Neural Systems (IJNS), 2022 Binyi Wu Bernd Waschneck Christian Mayr MQ 200 3 0 30 Sep 2022
Towards Accurate Binary Neural Networks via Modeling Contextual DependenciesEuropean Conference on Computer Vision (ECCV), 2022 Xingrun Xing Yangguang Li Wei Li Wenrui Ding Yalong Jiang Yufeng Wang Jinghua Shao Chunlei Liu Xianglong Liu MQ 156 9 0 03 Sep 2022
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating Xulong Shi Zhi Qi Jiaxuan Cai Keqi Fu Yaru Zhao Zan Li Xuanyu Liu Hao Liu MQ 132 3 0 19 Jul 2022
How to train accurate BNNs for embedded systems? F. D. Putter Henk Corporaal MQ 154 6 0 24 Jun 2022
Binarizing by Classification: Is soft function really necessary? Yefei He Luoming Zhang Weijia Wu Hong Zhou MQ 359 3 0 16 May 2022
LeHDC: Learning-Based Hyperdimensional Computing ClassifierDesign Automation Conference (DAC), 2022 Shijin Duan Yejia Liu Shaolei Ren Xiaolin Xu 129 44 0 18 Mar 2022
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices Shijin Duan Xiaolin Xu Shaolei Ren 137 18 0 09 Mar 2022
TerViT: An Efficient Ternary Vision Transformer Sheng Xu Yanjing Li Teli Ma Bo-Wen Zeng Baochang Zhang Shiyang Feng Jinhu Lv ViT 171 16 0 20 Jan 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 224 72 0 30 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 396 27 0 24 Nov 2021
Deep learning via message passing algorithms based on belief propagation Carlo Lucibello Fabrizio Pittorino Gabriele Perugini R. Zecchina 363 19 0 27 Oct 2021
A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021 Chunyu Yuan S. Agaian MQ 310 120 0 11 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholdsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Tianpeng Liu MQ 136 22 0 08 Oct 2021
Single-path Bit Sharing for Automatic Loss-aware Model CompressionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Jing Liu Bohan Zhuang Peng Chen Chunhua Shen Jianfei Cai Zhuliang Yu MQ 158 13 0 13 Jan 2021
ReActNet: Towards Precise Binary Neural Network with Generalized Activation FunctionsEuropean Conference on Computer Vision (ECCV), 2020 Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 518 387 0 07 Mar 2020
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back PropagationComputer Vision and Pattern Recognition (CVPR), 2019 Chunlei Liu Wenrui Ding Xin Xia Baochang Zhang Jiaxin Gu Jianzhuang Liu Rongrong Ji David Doermann MQ 226 79 0 24 Oct 2019