• 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