On the Adversarial Robustness of Mixture of Experts

von Puigcerver, Joan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

von Mustafa, Basil
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

PRACTICAL AND CONSISTENT ESTIMATION OF F-DIVERGENCES

von Rubenstein, Paul
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

ADAPTIVE TEMPORAL-DIFFERENCE LEARNING FOR POLICY EVALUATION WITH PER-STATE UNCERTAINTY ESTIMATES

von Riquelme, Carlos
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Scaling Vision with Sparse Mixture of Experts

von Riquelme, Carlos
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 11 of 36 (2022)