Rethink Maximum Mean Discrepancy for Domain Adaptation

Rethink Maximum Mean Discrepancy for Domain Adaptation

1 July 2020

Zhengming Ding

Papers citing "Rethink Maximum Mean Discrepancy for Domain Adaptation"

7 / 7 papers shown

Title
Zero-Shot End-to-End Spoken Language Understanding via Cross-Modal Selective Self-Training Jianfeng He Julian Salazar Kaisheng Yao Haoqi Li Jason (Jinglun) Cai VLM 19 7 0 22 May 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 46 13 0 15 Mar 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles Ling 40 6 0 03 Feb 2023
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization Zdravko Marinov Alina Roitberg David Schneider Rainer Stiefelhagen 29 4 0 19 Aug 2022
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction Ying Fan Longfei Han Yue Zhang Lechao Cheng Chenzhen Xia Di Hu SSL 26 1 0 10 Aug 2022
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing Ye Gao Brian R. Baucom Karen Rose Kristin D. Gordon Hongning Wang John A. Stankovic AAML 26 1 0 24 Jan 2022
Semi-supervised Domain Adaptive Structure Learning Can Qin Lichen Wang Qianqian Ma Yu Yin Huan Wang Y. Fu TTA 44 20 0 12 Dec 2021