Knowledge Distillation with Adversarial Samples Supporting Decision
Boundary

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

15 May 2018

Papers citing "Knowledge Distillation with Adversarial Samples Supporting Decision Boundary"

16 / 16 papers shown

Title
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 34 0 0 26 Nov 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 33 7 0 08 Jun 2023
Lion: Adversarial Distillation of Proprietary Large Language Models Yuxin Jiang Chunkit Chan Mingyang Chen Wei Wang ALM 28 23 0 22 May 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 38 34 0 19 Feb 2023
ACQ: Improving Generative Data-free Quantization Via Attention Correction Jixing Li Xiaozhou Guo Benzhe Dai Guoliang Gong Min Jin Gang Chen Wenyu Mao Huaxiang Lu MQ 30 4 0 18 Jan 2023
The Vanishing Decision Boundary Complexity and the Strong First Component Hengshuai Yao UQCV 33 0 0 25 Nov 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 24 1 0 31 May 2022
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 19 64 0 04 Nov 2021
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better Xuanyang Zhang Xinming Zhang Jian Sun 25 1 0 26 Sep 2021
Co-advise: Cross Inductive Bias Distillation Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian Shengfeng He Hang Zhao 49 53 0 23 Jun 2021
Knowledge Distillation Beyond Model Compression F. Sarfraz Elahe Arani Bahram Zonooz 12 40 0 03 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 21 18 0 06 Jun 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 27 129 0 10 Feb 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search Minsoo Kang Jonghwan Mun Bohyung Han FedML 30 43 0 29 Nov 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 63 507 0 03 Apr 2019