| Efficient Lifelong Learning with A-GEM A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny ICLR (2019), 2019 | 2081 | 2019 |
| Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence A Chaudhry, PK Dokania, T Ajanthan, PHS Torr ECCV (2018), 2018 | 1730 | 2018 |
| On Tiny Episodic Memories in Continual Learning A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ... ICML, MTLRL Workshop (2019), 2019 | 1369* | 2019 |
| Using hindsight to anchor past knowledge in continual learning A Chaudhry, A Gordo, PK Dokania, P Torr, D Lopez-Paz AAAI (2021), 2020 | 321 | 2020 |
| Continual Learning in Low-rank Orthogonal Subspaces A Chaudhry, N Khan, PK Dokania, PHS Torr NeurIPS (2020), 2020 | 183 | 2020 |
| Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation A Chaudhry, PK Dokania, PHS Torr BMVC (2017), 2017 | 169 | 2017 |
| Towards responsible development of generative AI for education: An evaluation-driven approach I Jurenka, M Kunesch, KR McKee, D Gillick, S Zhu, S Wiltberger, SM Phal, ... arXiv preprint arXiv:2407.12687, 2024 | 107 | 2024 |
| Wide Neural Networks Forget Less Catastrophically SI Mirzadeh, A Chaudhry, H Hu, R Pascanu, D Gorur, M Farajtabar ICML (2022), 2021 | 98 | 2021 |
| Architecture matters in continual learning SI Mirzadeh, A Chaudhry, D Yin, T Nguyen, R Pascanu, D Gorur, ... arXiv preprint arXiv:2202.00275, 2022 | 96 | 2022 |
| Is forgetting less a good inductive bias for forward transfer? J Chen, T Nguyen, D Gorur, A Chaudhry ICLR (2023), 2023 | 24 | 2023 |
| Nevis' 22: A stream of 100 tasks sampled from 30 years of computer vision research J Bornschein, A Galashov, R Hemsley, A Rannen-Triki, Y Chen, ... Journal of Machine Learning Research 24 (308), 1-77, 2023 | 24 | 2023 |
| On the generalization of language models from in-context learning and finetuning: a controlled study AK Lampinen, A Chaudhry, SCY Chan, C Wild, D Wan, A Ku, ... NeurIPS, FoRLM Workshop (2025), 2025 | 19 | 2025 |
| Finetuning language models to emit linguistic expressions of uncertainty A Chaudhry, S Thiagarajan, D Gorur ICLR (2025) Workshop, 2024 | 18 | 2024 |
| Continually learning representations at scale A Galashov, J Mitrovic, D Tirumala, YW Teh, T Nguyen, A Chaudhry, ... Conference on Lifelong Learning Agents, 534-547, 2023 | 14 | 2023 |
| Multilevel knowledge transfer for cross-domain object detection B Csaba, X Qi, A Chaudhry, P Dokania, P Torr arXiv preprint arXiv:2108.00977, 2021 | 10 | 2021 |
| Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences AK Lampinen, M Engelcke, Y Li, A Chaudhry, JL McClelland arXiv preprint arXiv:2509.16189, 2025 | 5 | 2025 |
| Continual learning for efficient machine learning A Chaudhry PhD Thesis (University of Oxford), 2020 | 1 | 2020 |
| A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios B Bohnet, R Dangovski, K Swersky, S Moore, A Chaudhry, K Kenealy, ... arXiv preprint arXiv:2511.00130, 2025 | | 2025 |
| When does mixup promote local linearity in learned representations? A Chaudhry, AK Menon, A Veit, S Jayasumana, S Ramalingam, S Kumar NeurIPS, INTERPOLATE Workshop (2022), 2022 | | 2022 |
| Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence (Supplementary Material) A Chaudhry, PK Dokania, T Ajanthan, PHS Torr | | |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
