Hard Sample Matters a Lot in Zero-Shot Quantization

24 March 2023

Bo Han

Papers citing "Hard Sample Matters a Lot in Zero-Shot Quantization"

23 / 23 papers shown

Title
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Mingliang Xu Yuyao Zhou Yuxin Zhang Shen Li Yong Li Chia-Wen Lin Zhanpeng Zeng Rongrong Ji MQ 163 0 0 31 Dec 2024
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 335 0 0 22 Oct 2024
Learning Active Camera for Multi-Object Navigation Peihao Chen Dongyu Ji Kun-Li Channing Lin Weiwen Hu Wenbing Huang Thomas H. Li Ming Tan Chuang Gan 46 25 0 14 Oct 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 56 74 0 06 Jun 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 49 175 0 22 Mar 2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 64 73 0 17 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 38 65 0 04 Nov 2021
Network Quantization with Element-wise Gradient Scaling Junghyup Lee Dohyung Kim Bumsub Ham MQ 18 119 0 02 Apr 2021
Zero-shot Adversarial Quantization Yuang Liu Wei Zhang Jun Wang MQ 71 79 0 29 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks Jiafei Duan Samson Yu Tangyao Li Huaiyu Zhu Cheston Tan LM&Ro 45 280 0 08 Mar 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 87 426 0 10 Feb 2021
Generative Zero-shot Network Quantization Xiangyu He Qinghao Hu Peisong Wang Jian Cheng GAN MQ 40 23 0 21 Jan 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li Feng Zhu Ruihao Gong Mingzhu Shen Xin Dong F. Yu Shaoqing Lu Shi Gu MQ 45 39 0 19 Nov 2020
Generative Low-bitwidth Data Free Quantization Shoukai Xu Haokun Li Bohan Zhuang Jing Liu Jingyun Liang Chuangrun Liang Mingkui Tan MQ 20 127 0 07 Mar 2020
The Knowledge Within: Methods for Data-Free Model Compression Matan Haroush Itay Hubara Elad Hoffer Daniel Soudry 22 106 0 03 Dec 2019
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks Yuhang Li Xin Dong Wei Wang MQ 40 255 0 28 Sep 2019
Learned Step Size Quantization S. K. Esser J. McKinstry Deepika Bablani R. Appuswamy D. Modha MQ 46 792 0 21 Feb 2019
Gradient Harmonized Single-stage Detector Buyu Li Yu Liu Xiaogang Wang ObjD 34 529 0 13 Nov 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 35 945 0 16 May 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 110 3,090 0 15 Dec 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 83 2,561 0 12 Dec 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 83 8,309 0 06 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 235 43,511 0 17 Sep 2014