Synergistic Self-supervised and Quantization Learning

Synergistic Self-supervised and Quantization Learning

12 July 2022

Shuchang Zhou

Papers citing "Synergistic Self-supervised and Quantization Learning"

7 / 7 papers shown

Title
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu MQ 41 16 0 21 Aug 2023
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu Chenyang Lei Xiao Sun Pengju Wang Qifeng Chen Kwang-Ting Cheng Stephen Lin Zhirong Wu MQ 38 5 0 19 Dec 2022
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu ViT MQ 29 1 0 17 Nov 2022
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration Zhiqiang Shen Zechun Liu Jie Qin Lei Huang Kwang-Ting Cheng Marios Savvides UQCV SSL MQ 248 22 0 17 Feb 2021
SEED: Self-supervised Distillation For Visual Representation Zhiyuan Fang Jianfeng Wang Lijuan Wang Lei Zhang Yezhou Yang Zicheng Liu SSL 245 190 0 12 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 279 3,375 0 09 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,217 0 01 Sep 2014