Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data

7 July 2023

Papers citing "Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data"

21 / 21 papers shown

Title
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data Mohamed Ragab Emadeldeen Eldele Wee Ling Tan Chuan-Sheng Foo Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li TTA OOD AI4TS 34 67 0 15 Mar 2022
On the benefits of knowledge distillation for adversarial robustness Javier Maroto Guillermo Ortiz-Jiménez P. Frossard AAML FedML 43 20 0 14 Mar 2022
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation Li Liu Qingle Huang Sihao Lin Hongwei Xie Bing Wang Xiaojun Chang Xiao-Xue Liang 42 101 0 08 Feb 2022
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework Zhen Huang Xu Shen Jun Xing Tongliang Liu Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua 38 27 0 01 Jul 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 165 687 0 24 Jan 2021
Knowledge Distillation for BERT Unsupervised Domain Adaptation Minho Ryu K. Lee 31 35 0 22 Oct 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 44 2,907 0 09 Jun 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data Garrett Wilson J. Doppa D. Cook TTA AI4TS AI4CE 35 144 0 22 May 2020
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation Le Thanh Nguyen-Meidine Eric Granger M. Kiran Jose Dolz Louis-Antoine Blais-Morin 24 23 0 16 May 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 35 128 0 05 Feb 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation Chao Chen Zhihang Fu Zhihong Chen Sheng Jin Zhaowei Cheng Xinyu Jin Xiansheng Hua 36 196 0 27 Dec 2019
On Minimum Discrepancy Estimation for Deep Domain Adaptation Mohammad Mahfujur Rahman Clinton Fookes Mahsa Baktash Sridha Sridharan OOD 69 67 0 02 Jan 2019
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 42 407 0 28 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 48 614 0 23 Feb 2018
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 30 1,623 0 12 Jul 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
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 40 3,123 0 06 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 307 9,418 0 28 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 102 19,448 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 195 3,862 0 19 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 128 2,588 0 10 Dec 2014