activity
20182023
most citedOn Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning

48 citations · 183 across the 24 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 2 cited

A Style and Semantic Memory Mechanism for Domain Generalization

Yang Chen, Yu Wang, Yingwei Pan +3

Mainstream state-of-the-art domain generalization algorithms tend to prioritize the assumption on semantic invariance across domains. Meanwhile, the inherent intra-domain style inv…

cs.CV2021

Transferrable Contrastive Learning for Visual Domain Adaptation

Yang Chen, Yingwei Pan, Yu Wang +3

Self-supervised learning (SSL) has recently become the favorite among feature learning methodologies. It is therefore appealing for domain adaptation approaches to consider incorpo…

cs.LG2021★ 3 cited

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

Zhen Huang, Xu Shen, Jun Xing +6

Knowledge Distillation (KD) is a popular technique to transfer knowledge from a teacher model or ensemble to a student model. Its success is generally attributed to the privileged…

cs.CV2021

Domain-Class Correlation Decomposition for Generalizable Person Re-Identification

Kaiwen Yang, Xinmei Tian

Domain generalization in person re-identification is a highly important meaningful and practical task in which a model trained with data from several source domains is expected to…

cs.LG2021★ 14 cited

CausalAdv: Adversarial Robustness through the Lens of Causality

Yonggang Zhang, Mingming Gong, Tongliang Liu +5

The adversarial vulnerability of deep neural networks has attracted significant attention in machine learning. As causal reasoning has an instinct for modelling distribution change…