Category: AI – This Quote

Jeremy Howard and colleagues’s words on ULMFiT explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Kishore Papineni and colleagues’s words on BLEU evaluation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Tianyi Zhang and colleagues’s words on BERTScore explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Erdem Bıyık and colleagues’s words on active preference learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Dylan Hadfield-Menell and colleagues’s words on cooperative inverse reinforcement learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Josh Tobin and colleagues’s words on domain randomization explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Xue Bin Peng and colleagues’s words on DeepMimic explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Matthias Plappert and colleagues’s words on dexterous in-hand manipulation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Benjamin Recht and colleagues’s words on new test sets for model evaluation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Robert Geirhos and colleagues’s words on shortcut learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Deepak Pathak and colleagues’s words on curiosity-driven exploration explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Lerrel Pinto and colleagues’s words on self-supervised robotic grasping explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.