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Is_meta_learning_always_necessary
Is_meta_learning_always_necessary PublicImplementation of "Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform"
Python
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IEEE_ACCESS_2022_paper_pretraining
IEEE_ACCESS_2022_paper_pretraining PublicImplementation of "Discovering the Effectiveness of Pre-Training for Image Recognition in a Large-scale Car-sharing Platform"
Python
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Optimal_labeling_scheme
Optimal_labeling_scheme PublicImplementation of the paper submitted to ACCV 2022: "Shape prior is Not All You Need: Discovering Balance between Texture and Shape bias in CNN"
Jupyter Notebook
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kdd_2022_submission
kdd_2022_submission PublicForked from socar-tigger/kdd_2022_submission
Jupyter Notebook
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TCAV_test
TCAV_test PublicForked from rakhimovv/tcav
Quantitative Testing with Concept Activation Vectors in PyTorch
Python
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