Machine Learning

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On the Impact of Spurious Correlation for Out-of-distribution Detection

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