Adversarial Multiple Source Domain Adaptation

Han Zhao, Shanghang Zhang, Guanhang Wu, +3

Neural Information Processing Systems

Artificial IntelligenceNatural Language ProcessingApproach Domain AdaptationEngineeringMachine Learning +11

On learning invariant representations for domain adaptation

Han Zhao, Rémi Tachet des Combes, Kun Zhang, +1

International Conference on Machine Learning

Artificial IntelligenceFew-shot LearningEngineeringMachine LearningData Science +12

On Learning Invariant Representation for Domain Adaptation

Han Zhao, Rémi Tachet des Combes, Kun Zhang, +1

arXiv (Cornell University)

Artificial IntelligenceFew-shot LearningEngineeringMachine LearningData Science +11

Graph Debiased Contrastive Learning with Joint Representation Clustering

Han Zhao, Xu Yang, Zhenru Wang, +2

Joint Representation ClusteringGraph Representation LearningMachine LearningEngineeringGraph Signal Processing +15

Invariant Information Bottleneck for Domain Generalization

Bo Li, Yifei Shen, Yezhen Wang, +5

Proceedings of the AAAI Conference on Artificial Intelligence

Artificial IntelligenceEngineeringMachine LearningComputational ComplexityData Science +15

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

Bo Li, Yezhen Wang, Shanghang Zhang, +4

Artificial IntelligenceEngineeringMachine LearningPotential Distribution ShiftData Science +14

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Rémi Tachet, Han Zhao, Yu-Xiang Wang, +1

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningShift DetectionImage Analysis +16

Multiple Source Domain Adaptation with Adversarial Learning

Han Zhao, Shanghang Zhang, Guanhang Wu, +3

International Conference on Learning Representations

Artificial IntelligenceFew-shot LearningTarget DomainEngineeringMachine Learning +10

Deep Fair Clustering for Visual Learning

Peizhao Li, Han Zhao, Hongfu Liu

Artificial IntelligenceProtected SubgroupsEngineeringMachine LearningDeep Fair Clustering +14

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

Peizhao Li, Yifei Wang, Han Zhao, +2

International Conference on Learning Representations

Artificial IntelligenceEngineeringMachine LearningNetwork AnalysisCommunication +18