Playing with GANs : Building, coding, and modifying deep learning GAN models

von Raff, Edward
Veröffentlicht 2021

A STEP TOWARD QUANTIFYING INDEPENDENTLY REPRODUCIBLE MACHINE LEARNING

von Raff, Edward
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

Inside deep learning : math, algorithms, models

Veröffentlicht 2022

Inside deep learning : math, algorithms, models

von Raff, Edward
Veröffentlicht 2022

Inside deep learning : math, algorithms, models

von Raff, Edward
Veröffentlicht 2022

Inside deep learning : math, algorithms, models

von Raff, Edward
Veröffentlicht 2022

Continuously Generalized Ordinal Regression for Linear and Deep Models

von Lu, Fred
Veröffentlicht in SIAM International Conference on Data Mining (2022 : Online) SIAM International Conference on Data Mining (SDM'22) (2022)

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

von Crowson, Katherine
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 37 (2022)

Learning with Holographic Reduced Representations

von Ganesan, Ashwinkumar
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 31 of 36 (2022)

A General Framework for Auditing Differentially Private Machine Learning

von Lu, Fred
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 6 of 50 (2023)