- Contrastive Test-Time Adaptation
- IIRC Problem
- Theoretical Analysis of Domain Adaptation with Optimal Transport
- Reducing Label Effort: Self-Supervised meets Active Learning [ICCVW'21]
- Exploratory Machine Learning with Unknown Unknowns
- Lifelong Domain Adaptation via Consolidated Internal Distribution
- Learning to Adapt to Evolving Domains
- Joint Partial Optimal Transport for Open Set Domain Adaptation
- Domain Adaptation under Structural Causal Models
- Continuous Manifold Based Adaptation for Evolving Visual Domains
- Machine learning for streaming data: state of the art, challenges, and opportunities
- Model Adaptation: Unsupervised Domain Adaptation without Source Data
- Casting a BAIT for Offline and Online Source-free Domain Adaptation
- Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
- Weakly-Supervised Contrastive Learning
- Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
- Self-supervised Learning is More Robust to Dataset Imbalance
- RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
- OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers
- On the Impact of Spurious Correlation for Out-of-distribution Detection