 Learning from Label Proportions: A Mutual Contamination FrameworkNeural Information Processing Systems (NeurIPS), 2020 Clayton Scott Jianxin Zhang |
 Learning Only from Relevant Keywords and Unlabeled DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise
RatesInternational Conference on Machine Learning (ICML), 2019 Yang Liu Hongyi Guo |
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