Category: AI – This Quote

Brian Lester and colleagues’s words on prompt tuning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

H. Brendan McMahan and colleagues’s words on federated learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Peter Kairouz and colleagues’s words on federated learning systems explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Martín Abadi and colleagues’s words on differentially private deep learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Reza Shokri and colleagues’s words on membership inference explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Nicolas Papernot and colleagues’s words on private aggregation of teacher ensembles explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Aleksander Madry and colleagues’s words on adversarial robustness explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Nicholas Carlini and colleagues’s words on adversarial evaluation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Alex Kendall and colleagues’s words on uncertainty-weighted multi-task learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Gao Huang and colleagues’s words on DenseNet explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jasper Snoek and colleagues’s words on Bayesian optimization explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Yarin Gal and colleagues’s words on Bayesian dropout uncertainty explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.