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Cătălina Cangea

2 accepted papers

2022

General-purpose, long-context autoregressive modeling with Perceiver AR

ICML 2022spotlight

Real-world data is high-dimensional: a book, image, or musical performance can easily contain hundreds of thousands of elements even after compression. However, the most commonly used autoregressive models, Transformers, are prohibitively expensive to scale to the number of inputs and layers needed…

2021

Generative Compositional Augmentations for Scene Graph Prediction

ICCV 2021poster

Inferring objects and their relationships from an image in the form of a scene graph is useful in many applications at the intersection of vision and language. We consider a challenging problem of compositional generalization that emerges in this task due to a long tail data distribution. Current sc…

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