| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1278 | 2024 |
| Augly: Data augmentations for robustness Z Papakipos, J Bitton arXiv preprint arXiv:2201.06494, 2022 | 68* | 2022 |
| The 2021 image similarity dataset and challenge M Douze, G Tolias, E Pizzi, Z Papakipos, L Chanussot, F Radenovic, ... arXiv preprint arXiv:2106.09672, 2021 | 43 | 2021 |
| Stackelberg punishment and bully-proofing autonomous vehicles M Cooper, JK Lee, J Beck, JD Fishman, M Gillett, Z Papakipos, A Zhang, ... Social Robotics: 11th International Conference, ICSR 2019, Madrid, Spain …, 2019 | 10 | 2019 |
| AugLy: Data augmentations for adversarial robustness Z Papakipos, J Bitton Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| Results and findings of the 2021 Image Similarity Challenge Z Papakipos, G Tolias, T Jenicek, E Pizzi, S Yokoo, W Wang, Y Sun, ... NeurIPS 2021 Competitions and Demonstrations Track, 1-12, 2022 | 5 | 2022 |
| Reneg and backseat driver: Learning from demonstration with continuous human feedback J Beck, Z Papakipos, M Littman arXiv preprint arXiv:1901.05101, 2019 | 2 | 2019 |
| Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis M Maximov, T Meinhardt, Z Papakipos, C Hazirbas, C Canton, ... 2024 IEEE 18th International Conference on Automatic Face and Gesture …, 2024 | | 2024 |
| Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks J Beck, Z Papakipos arXiv preprint arXiv:1807.11121, 2018 | | 2018 |
| ReNeg and Backseat Driver: Learning from demonstration with continuous human feedback Z Papakipos, J Beck, M Littman | | |
