| Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023 | 406 | 2023 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 289 | 2024 |
| Generalized Decoding for Pixel, Image, and Language X Zou, ZY Dou, J Yang, Z Gan, L Li, C Li, X Dai, H Behl, J Wang, L Yuan, ... CVPR 2023, 2023 | 199 | 2023 |
| Phi-2: The Surprising Power of Small Language Models.(2023) M Abdin, J Aneja, S Bubeck, CCT Mendes, W Chen, A Del Giorno, ... URL https://www. microsoft. com/en-us/research/blog/phi-2-the-surprising …, 2023 | 130* | 2023 |
| Progressive skeletonization: Trimming more fat from a network at initialization P de Jorge, A Sanyal, HS Behl, PHS Torr, G Rogez, PK Dokania ICLR 2021, 2020 | 100 | 2020 |
| STEER: Simple Temporal Regularization For Neural ODEs A Ghosh, HS Behl, PHS Torr, V Namboodiri NeurIPS 2020, 2020 | 87 | 2020 |
| Alpha MAML: Adaptive Model-Agnostic Meta-Learning HS Behl, AG Baydin, PHS Torr ICML 2019 Workshops, 2019 | 86 | 2019 |
| Scaling the Convex Barrier with Active Sets A De Palma, HS Behl, R Bunel, PHS Torr, MP Kumar ICLR 2021, 2021 | 60 | 2021 |
| AutoSimulate: (Quickly) Learning Synthetic Data Generation HS Behl, AG Baydin, R Gal, PHS Torr, V Vineet ECCV 2020, 2020 | 38 | 2020 |
| Neural-Sim: Learning to Generate Training Data with NeRF Y Ge, H Behl, J Xu, S Gunasekar, N Joshi, Y Song, X Wang, L Itti, V Vineet ECCV 2022, 2022 | 25 | 2022 |
| Incremental Tube Construction for Human Action Detection HS Behl, M Sapienza, G Singh, S Saha, F Cuzzolin, PHS Torr BMVC 2018, 2018 | 23 | 2018 |
| Meta learning deep visual words for fast video object segmentation HS Behl, M Najafi, A Arnab, PHS Torr IROS 2020, 2018 | 22 | 2018 |
| PEEKABOO: Interactive Video Generation via Masked-Diffusion Y Jain, A Nasery, V Vineet, H Behl CVPR 2024, 2023 | 10 | 2023 |
| Scaling the convex barrier with sparse dual algorithms A De Palma, HS Behl, R Bunel, PHS Torr, MP Kumar Journal of Machine Learning Research 25 (61), 1-51, 2024 | 9 | 2024 |
| DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets Y Jain, H Behl, Z Kira, V Vineet Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Overcoming the convex barrier for simplex inputs H Singh, MP Kumar, P Torr, KD Dvijotham NeurIPS 2021, 2021 | 5* | 2021 |
| Efficiently Robustify Pre-trained Models N Jain, H Behl, YS Rawat, V Vineet ICCV 2023, 2023 | 2 | 2023 |
| Variational autoencoders: A brief survey M Mittal, HS Behl | 2 | 2018 |
| Unlocking spatial comprehension in text-to-image diffusion models MM Derakhshani, M Xia, H Behl, CGM Snoek, V Rühle arXiv preprint arXiv:2311.17937, 2023 | 1 | 2023 |
| Automated and verified deep learning HS Behl University of Oxford, 2021 | | 2021 |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
