Category: AI – This Quote

Danilo Jimenez Rezende and Mohamed Shakir’s words on normalizing flows explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Laurent Dinh and colleagues’s words on Real NVP explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

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

Mohammad Norouzi and colleagues’s words on reward augmented maximum likelihood explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jonathan Frankle and Michael Carbin’s words on the lottery ticket hypothesis explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

David Ha and Jürgen Schmidhuber’s words on world models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Mukund Sundararajan and colleagues’s words on integrated gradients explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Scott M. Lundberg and colleagues’s words on SHAP explanations explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Ramprasaath R. Selvaraju and colleagues’s words on Grad-CAM explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Kevin Clark and colleagues’s words on ELECTRA pretraining explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Marco Tulio Ribeiro and colleagues’s words on local model explanations explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Nils Reimers and colleagues’s words on Sentence-BERT explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.