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Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations.

, , , , , , and . IJCAI, page 1714-1720. ijcai.org, (2022)

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Beyond Backprop: Online Alternating Minimization with Auxiliary Variables., , , , , , , , , and 1 other author(s). ICML, volume 97 of Proceedings of Machine Learning Research, page 1193-1202. PMLR, (2019)Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget., and . CoRR, (2021)A Survey on Compositional Generalization in Applications., , and . CoRR, (2023)Incorporating Behavioral Constraints in Online AI Systems., , , and . AAAI, page 3-11. AAAI Press, (2019)Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis., , , , , and . ClinicalNLP@ACL, page 439-446. Association for Computational Linguistics, (2023)Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations., , , , , , and . IJCAI, page 1714-1720. ijcai.org, (2022)Predicting Human Decision Making with LSTM., , and . IJCNN, page 1-8. IEEE, (2022)Assessing AI Rationality: The Random Guesser Test for Sequential Decision-Making Systems., , and . CoRR, (2024)Survey on Applications of Multi-Armed and Contextual Bandits., , and . CEC, page 1-8. IEEE, (2020)Toward Optimal Solution for the Context-Attentive Bandit Problem., , , , and . IJCAI, page 3493-3500. ijcai.org, (2021)