v1v2 (latest)

PokeBNN: A Binary Pursuit of Lightweight Accuracy

30 November 2021

Yichi Zhang

Zhiru Zhang

Lukasz Lew

ArXiv (abs)PDF HTML Github (309★)

Papers citing "PokeBNN: A Binary Pursuit of Lightweight Accuracy"

40 / 40 papers shown

Title
Bruno: Backpropagation Running Undersampled for Novel device Optimization Luca Fehlings Bojian Zhang P. Gibertini Martin A. Nicholson E. Covi Fernando M. Quintana 29 0 0 23 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs Lukas Meiner Jens Mehnert Alexandru Paul Condurache MQ 167 0 0 06 May 2025
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy Shuntaro Takahashi Takuya Wakisaka Hiroyuki Tokunaga MQ 73 0 0 15 Oct 2024
Accelerating Error Correction Code Transformers Matan Levy Yoni Choukroun Lior Wolf MQ 74 0 0 08 Oct 2024
Robust Training of Neural Networks at Arbitrary Precision and Sparsity Chengxi Ye Grace Chu Yanfeng Liu Yichi Zhang Lukasz Lew Andrew G. Howard MQ 56 2 0 14 Sep 2024
Spiking Diffusion Models Jiahang Cao Hanzhong Guo Ziqing Wang Deming Zhou Hao Cheng Qiang Zhang Renjing Xu DiffM 93 3 0 29 Aug 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao Li Du Guoqi Li Jiajun Zhang 153 6 0 05 Jul 2024
Q-S5: Towards Quantized State Space Models Steven Abreu Jens Egholm Pedersen Kade Heckel Alessandro Pierro MQ 77 9 0 13 Jun 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms Xingrun Xing Zheng Zhang Ziyi Ni Shitao Xiao Yiming Ju Siqi Fan Yequan Wang Jiajun Zhang Guoqi Li 90 11 0 05 Jun 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 110 1 0 25 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 81 4 0 08 May 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods Chenlin Zhou Han Zhang Liutao Yu Yumin Ye Zhaokun Zhou Liwei Huang Zhengyu Ma Xiaopeng Fan Huihui Zhou Yonghong Tian 116 13 0 06 May 2024
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design Jian Meng Yuan Liao Anupreetham Anupreetham Ahmed Hassan Shixing Yu Han-Sok Suh Xiaofeng Hu Jae-sun Seo MQ 78 2 0 02 May 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks Marina Neseem Conor McCullough Randy Hsin Chas Leichner Shan Li ... Andrew G. Howard Lukasz Lew Sherief Reda Ville Rautio Daniele Moro MQ 124 1 0 29 Mar 2024
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Shuming Ma Hongyu Wang Lingxiao Ma Lei Wang Wenhui Wang Shaohan Huang Lifeng Dong Ruiping Wang Jilong Xue Furu Wei MQ 95 234 0 27 Feb 2024
Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs Dingyi Dai Yichi Zhang Jiahao Zhang Zhanqiu Hu Yaohui Cai Qi Sun Zhiru Zhang MQ 91 7 0 31 Jan 2024
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 100 0 0 27 Nov 2023
Boolean Variation and Boolean Logic BackPropagation Van Minh Nguyen 91 2 0 13 Nov 2023
BitNet: Scaling 1-bit Transformers for Large Language Models Hongyu Wang Shuming Ma Li Dong Shaohan Huang Huaijie Wang Lingxiao Ma Fan Yang Ruiping Wang Yi Wu Furu Wei MQ 78 119 0 17 Oct 2023
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings Vittorio Giammarino Arnaud Dapogny Kévin Bailly MQ 67 1 0 29 Sep 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 89 0 0 15 Aug 2023
Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping Boyu Chen Hanxuan Chen Jiao He Fengyu Sun Shangling Jui 87 3 0 15 Aug 2023
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search Edouard Yvinec Arnaud Dapogny Kévin Bailly MQ 61 7 0 10 Aug 2023
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel Gang Wu Andrew Li M. Umar Yun Ni ... Liqun Cheng Martin G. Dixon N. Jouppi Quoc V. Le Sheng Li MQ 95 3 0 07 Aug 2023
Spiking Denoising Diffusion Probabilistic Models Jiahang Cao Ziqing Wang Hanzhong Guo Haotai Cheng Qiang Zhang Renjing Xu DiffM 97 19 0 29 Jun 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 70 7 0 04 May 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network Chenlin Zhou Liutao Yu Zhaokun Zhou Zhengyu Ma Han Zhang Huihui Zhou Yonghong Tian 102 67 0 24 Apr 2023
Optimizing data-flow in Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 71 6 0 03 Apr 2023
Understanding weight-magnitude hyperparameters in training binary networks Joris Quist Yun-qiang Li Jan van Gemert MQ 69 0 0 04 Mar 2023
Binarized Neural Machine Translation Yichi Zhang Ankush Garg Yuan Cao Lukasz Lew Behrooz Ghorbani Zhiru Zhang Orhan Firat MQ 68 14 0 09 Feb 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 104 37 0 26 Jan 2023
PowerQuant: Automorphism Search for Non-Uniform Quantization Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly MQ 63 16 0 24 Jan 2023
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket Nianhui Guo Joseph Bethge Christoph Meinel Haojin Yang MQ 106 20 0 23 Nov 2022
Empirical Evaluation of Post-Training Quantization Methods for Language Tasks Ting Hu Christoph Meinel Haojin Yang MQ 94 3 0 29 Oct 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks Sieger Falkena Hadi Jamali Rad Jan van Gemert MQ 88 3 0 25 Oct 2022
How to train accurate BNNs for embedded systems? F. D. Putter Henk Corporaal MQ 73 6 0 24 Jun 2022
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks Clemens J. S. Schaefer Siddharth Joshi Shane Li Raul Blazquez MQ 67 10 0 15 Jun 2022
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold Chang-Ho Lee Hyungjun Kim Eunhyeok Park Jae-Joon Kim MQ 80 9 0 15 Apr 2022
REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec Arnaud Dapgony Matthieu Cord Kévin Bailly MQ 91 8 0 28 Mar 2022
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 210 354 0 07 Mar 2020