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Visualizing and Understanding GANs.

, , , , , , и . DGS@ICLR, OpenReview.net, (2019)

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Visualizing and Understanding GANs., , , , , , и . DGS@ICLR, OpenReview.net, (2019)GAN Dissection: Visualizing and Understanding Generative Adversarial Networks., , , , , , и . ICLR (Poster), OpenReview.net, (2019)Large scale learning and recognition of faces in web videos., , , и . FG, стр. 1-7. IEEE Computer Society, (2008)Network Dissection: Quantifying Interpretability of Deep Visual Representations., , , , и . CVPR, стр. 3319-3327. IEEE Computer Society, (2017)Content-based Search for Deep Generative Models., , , , , , и . SIGGRAPH Asia, стр. 71:1-71:12. ACM, (2023)Natural Language Descriptions of Deep Visual Features., , , , , и . ICLR, OpenReview.net, (2022)Learning Words by Drawing Images., , , , , и . CVPR, стр. 2029-2038. Computer Vision Foundation / IEEE, (2019)Unified Concept Editing in Diffusion Models., , , , и . WACV, стр. 5099-5108. IEEE, (2024)Black-Box Access is Insufficient for Rigorous AI Audits., , , , , , , , , и 11 other автор(ы). FAccT, стр. 2254-2272. ACM, (2024)FIND: A Function Description Benchmark for Evaluating Interpretability Methods., , , , , , , и . NeurIPS, (2023)