7 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.AI2022★ 4 cited
Improving Systematic Generalization Through Modularity and Augmentation
Laura Ruis, Brenden Lake
Systematic generalization is the ability to combine known parts into novel meaning; an important aspect of efficient human learning, but a weakness of neural network learning. In t…
cs.CL2020
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis, Jacob Andreas, Marco Baroni +2
Humans easily interpret expressions that describe unfamiliar situations composed from familiar parts ("greet the pink brontosaurus by the ferris wheel"). Modern neural networks, by…
cs.LG2020★ 7 cited
Insertion-Deletion Transformer
Laura Ruis, Mitchell Stern, Julia Proskurnia +1
We propose the Insertion-Deletion Transformer, a novel transformer-based neural architecture and training method for sequence generation. The model consists of two phases that are…