activity
20182022
most citedAugLy: Data Augmentations for Robustness

27 citations · 28 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Results and findings of the 2021 Image Similarity Challenge

Zoë Papakipos, Giorgos Tolias, Tomas Jenicek +11

The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition…

cs.AI202227 cited

AugLy: Data Augmentations for Robustness

Zoe Papakipos, Joanna Bitton

We introduce AugLy, a data augmentation library with a focus on adversarial robustness. AugLy provides a wide array of augmentations for multiple modalities (audio, image, text, &…

cs.HC2019

Stackelberg Punishment and Bully-Proofing Autonomous Vehicles

Matt Cooper, Jun Ki Lee, Jacob Beck +7

Mutually beneficial behavior in repeated games can be enforced via the threat of punishment, as enshrined in game theory's well-known "folk theorem." There is a cost, however, to a…

cs.LG2019

ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback

Jacob Beck, Zoe Papakipos, Michael Littman

In autonomous vehicle (AV) control, allowing mistakes can be quite dangerous and costly in the real world. For this reason we investigate methods of training an AV without allowing…

cs.LG2018

Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks

Jacob Beck, Zoe Papakipos

Neural networks are based on a simplified model of the brain. In this project, we wanted to relax the simplifying assumptions of a traditional neural network by making a model that…