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Matrix Completion from Non-Uniformly Sampled Entries., , and . CoRR, (2018)Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions., , , and . CoRR, (2018)Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach., , , , , and . CoRR, (2018)Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation., , , , and . CoRR, (2019)On the Adversarial Robustness of Vision Transformers., , , , and . Trans. Mach. Learn. Res., (2022)Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach., , , and . HCOMP, page 207-215. AAAI, (2013)Hierarchical Personalized Federated Learning for User Modeling., , , , , , , and . WWW, page 957-968. ACM / IW3C2, (2021)Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System., , , , , and . KDD, page 1791-1800. ACM, (2021)Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation., , , , , , and . KDD, page 3886-3894. ACM, (2021)AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks., , , , , , , and . AAAI, page 742-749. AAAI Press, (2019)