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Title: Domain Generalization: A Survey Author: Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy Abstract: Generalization to out-of-distribution (OOD) data is a capability natural to humans yet challenging for machines to reproduce. This is because most learning algorithms strongly rely on the i.i.d. assumption on source/target data, which is often violated in practice due to doma..

MIT CSAIL에서 발표한 Unsupervised Semantic Segmentation 연구 https://github.com/mhamilton723/STEGO GitHub - mhamilton723/STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences Unsupervised Semantic Segmentation by Distilling Feature Correspondences - GitHub - mhamilton723/STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences github.com https://arxiv.or..

아마존에서 진행한 Root Cause Analysis에 대한 연구논문 블로그: https://www.amazon.science/blog/new-method-identifies-the-root-causes-of-statistical-outliers New method identifies the root causes of statistical outliers Amazon ICML paper proposes information-theoretic measurement of quantitative causal contribution. www.amazon.science 논문: https://assets.amazon.science/0d/25/3de76886443c822581cf907e5385/causal-struc..