Machine Learning
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2022-07-09 06:21:54
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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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