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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning.

, и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 8780-8802. PMLR, (2022)

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Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning., , , , и . NeurIPS, (2022)Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning., и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 8780-8802. PMLR, (2022)Competing AI: How does competition feedback affect machine learning?, , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1693-1701. PMLR, (2021)WeightedSHAP: analyzing and improving Shapley based feature attributions., и . NeurIPS, (2022)Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke., , , , , и . BrainLes@MICCAI, том 10154 из Lecture Notes in Computer Science, стр. 231-243. (2016)Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value., и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18135-18152. PMLR, (2023)Valid oversampling schemes to handle imbalance., , и . Pattern Recognit. Lett., (2019)Uncertainty quantification of molecular property prediction using Bayesian neural network models., , и . CoRR, (2019)DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models., , , и . CoRR, (2023)Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 20706-20724. PMLR, (2023)