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awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
https://github.com/weitianxin/awesome-distribution-shift
Last synced: about 16 hours ago
JSON representation
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Generalization
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Domain Generalization & Out-of-distribution Robustness
- GOOD
- arxiv 2019
- ICLR 2020
- ICLR 2021
- ICML 2021
- ICML 2021
- NeurIPS 2021
- ICML 2022
- NeurIPS 2022
- ICML 2021
- ICML 2022
- ICML 2022
- CVPR 2018
- ECCV 2018
- NeurIPS 2018
- NeurIPS 2019
- CVPR 2019
- CVPR 2019
- NeurIPS 2020
- ECCV 2020
- ECCV 2020
- ECCV 2020
- ECCV 2020
- CVPR 2020
- JMLR 2021
- NeurIPS 2021
- NeurIPS 2021
- CVPR 2022
- ECCV 2022
- ICML 2022
- NeurIPS 2022
- ICCV 2023
- CVPR 2022
- CVPR 2022
- CVPR 2022
- NeurIPS 2022
- ICLR 2021
- ICML 2022
- ICML 2022
- ICML 2021
- ECCV 2020
- ECCV 2020
- ECCV 2020
- AAAI 2018
- ECCV 2020
- CVPR 2020
- ICLR 2022
- ECCV 2022
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Domain Adaptation
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Test-time Adaptation/Training
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Benchmark
- ICLR 2021
- ICLR 2021 - Benchmarks)
- ICML 2021 - lambda/wilds)
- NeurIPS 2021 - Project/shifts)
- ICLR 2022
- NeurIPS 2022
- NeurIPS 2022 - team/pygod/tree/main/benchmark)
- NeurIPS 2022
- NeurIPS 2022 - Time)
- NeurIPS 2022
- NeurIPS 2022 - ml/anoshift)
- CVPR 2022 - Just/OoD-Bench)
- CVPR 2022 - arborist/)
- ECCV 2022 - ood-workshop/ROBIN-dataset)
- arxiv 2022 - ailab/DrugOOD)
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Data Modality
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Graph
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Text
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Time Series
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Video
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Speech
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Tabular Data
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Others (RecSys)
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Decentralized (Federated)
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Detection
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Fairness
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Learning Strategy
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Others (RecSys)
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Robustness
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Others (RecSys)
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Programming Languages
Categories
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