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PMD: A New User Distance for Recommender Systems., , , , and . CoRR, (2019)Wasserstein Collaborative Filtering for Item Cold-start Recommendation., , , , and . CoRR, (2019)A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR., , , and . CoRR, (2019)Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks., , , , , and . CoRR, (2019)PMD: An Optimal Transportation-Based User Distance for Recommender Systems., , , , , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 272-280. Springer, (2020)Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1062-1070. PMLR, (2019)ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution., , , , and . CoRR, (2022)Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric., , , , , and . CoRR, (2019)Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer., , , and . CoRR, (2022)Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning., , , , , , , , , and 3 other author(s). Nat. Mach. Intell., 3 (10): 914-922 (2021)