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Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.

, , , , , , и . CVPR, стр. 1208-1217. Computer Vision Foundation / IEEE, (2020)

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Po-Cheng Huang

Sen-Zhong Huang

Po Leung

Nikhilranjan Sen

Ramen Sen

 

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Gantry-Mounted Laser-Stripe Scanning System for Face Shape Recovery., , , , , и . ICS, том 274 из Frontiers in Artificial Intelligence and Applications, стр. 1305-1314. IOS Press, (2014)Singing-voice separation from monaural recordings using robust principal component analysis., , , и . ICASSP, стр. 57-60. IEEE, (2012)Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations., , , , , , и . CoRR, (2019)Towards Verified Robustness under Text Deletion Interventions., , , , , , и . ICLR, OpenReview.net, (2020)Are Labels Required for Improving Adversarial Robustness?, , , , , и . NeurIPS, стр. 12192-12202. (2019)Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension., , , и . EMNLP, стр. 835-844. Association for Computational Linguistics, (2017)Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations., , , , , , и . CVPR, стр. 1208-1217. Computer Vision Foundation / IEEE, (2020)Towards Robust Image Classification Using Sequential Attention Models., , , , , и . CVPR, стр. 9480-9489. Computer Vision Foundation / IEEE, (2020)Taxonomy of Risks posed by Language Models., , , , , , , , , и 13 other автор(ы). FAccT, стр. 214-229. ACM, (2022)Natural Language to Structured Query Generation via Meta-Learning., , , , и . NAACL-HLT (2), стр. 732-738. Association for Computational Linguistics, (2018)