131 citations · 171 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Analysis of Optimality of Large Language Models on Planning Problems
Bernd Bohnet, Michael C. Mozer, Kevin Swersky +4
Classic AI planning problems have been revisited in the Large Language Model (LLM) era, with a focus of recent benchmarks on success rates rather than plan efficiency. We examine t…
cs.LG2019★ 40 cited
Graph Normalizing Flows
Jenny Liu, Aviral Kumar, Jimmy Ba +2
We introduce graph normalizing flows: a new, reversible graph neural network model for prediction and generation. On supervised tasks, graph normalizing flows perform similarly to…
cs.LG2015★ 131 cited
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
One of the main challenges in Zero-Shot Learning of visual categories is gathering semantic attributes to accompany images. Recent work has shown that learning from textual descrip…