| 3D Packing for Self-Supervised Monocular Depth Estimation V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 740 | 2020 |
| Learning to fuse things and stuff J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon arXiv preprint arXiv:1812.01192, 2018 | 122 | 2018 |
| Real-Time Panoptic Segmentation from Dense Detections R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 79 | 2020 |
| Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh arXiv preprint arXiv:2007.00178, 2020 | 66 | 2020 |
| Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression A Raventós, M Paul, F Chen, S Ganguli Advances in Neural Information Processing Systems 36, 2024 | 37 | 2024 |
| SIXO: Smoothing Inference with Twisted Objectives D Lawson, A Raventós, A Warrington, S Linderman Advances in Neural Information Processing Systems 35, 38844-38858, 2022 | 7 | 2022 |
| The Effects of Pretraining Task Diversity on In-Context Learning of Ridge Regression A Raventós, M Paul, F Chen, S Ganguli ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 3 | 2023 |
