| Self-supervised multimodal versatile networks JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ... Advances in neural information processing systems 33, 25-37, 2020 | 438 | 2020 |
| Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding M Roberts, J Ramapuram, A Ranjan, A Kumar, MA Bautista, N Paczan, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 356 | 2021 |
| Lifelong generative modeling J Ramapuram, M Gregorova, A Kalousis Journal of Neurocomputing, 2020, 2017 | 145 | 2017 |
| Stabilizing transformer training by preventing attention entropy collapse S Zhai, T Likhomanenko, E Littwin, D Busbridge, J Ramapuram, Y Zhang, ... International Conference on Machine Learning, 40770-40803, 2023 | 65 | 2023 |
| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis Continual Learning Workshop NIPS 2018, 2018 | 63 | 2018 |
| Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? TG Grigg, D Busbridge, J Ramapuram, R Webb 2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021 | 25 | 2021 |
| Position prediction as an effective pretraining strategy S Zhai, N Jaitly, J Ramapuram, D Busbridge, T Likhomanenko, JY Cheng, ... ICML 2022, 2022 | 22 | 2022 |
| How to scale your EMA D Busbridge, J Ramapuram, P Ablin, T Likhomanenko, EG Dhekane, ... Advances in Neural Information Processing Systems 36, 73122-73174, 2023 | 16 | 2023 |
| The role of entropy and reconstruction in multi-view self-supervised learning BR Gálvez, A Blaas, P Rodríguez, A Golinski, X Suau, J Ramapuram, ... International Conference on Machine Learning, 29143-29160, 2023 | 13 | 2023 |
| Theory, analysis, and best practices for sigmoid self-attention J Ramapuram, F Danieli, E Dhekane, F Weers, D Busbridge, P Ablin, ... ICLR 2025, 2024 | 11 | 2024 |
| Variational Saccading: Efficient Inference for Large Resolution Images J Ramapuram, M Diephuis, R Webb, A Kalousis 2019 British Machine Vision Conference; 2018 Bayesian Deep Learning Workshop …, 2018 | 9 | 2018 |
| Evaluating the fairness of fine-tuning strategies in self-supervised learning J Ramapuram, D Busbridge, R Webb BayLearn 2021, 2021 | 8 | 2021 |
| Duet: 2d structured and approximately equivariant representations X Suau, F Danieli, TA Keller, A Blaas, C Huang, J Ramapuram, ... ICML 2023, 2023 | 6 | 2023 |
| Poly-view contrastive learning A Shidani, D Hjelm, J Ramapuram, R Webb, EG Dhekane, D Busbridge ICLR 2024, 2024 | 5 | 2024 |
| Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer A Ovsianas, J Ramapuram, D Busbridge, EG Dhekane, R Webb NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice, 2022 | 5 | 2022 |
| Stochastic Contrastive Learning J Ramapuram, D Busbridge, X Suau, R Webb 2nd Workshop on Self-Supervised Learning: Theory and Practice (NeurIPS 2021), 2021 | 5 | 2021 |
| Improving discrete latent representations with differentiable approximation bridges J Ramapuram, R Webb 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 5* | 2020 |
| Large-scale Nonlinear Variable Selection via Kernel Random Features M Gregorová, J Ramapuram, A Kalousis, S Marchand-Maillet ECML PKDD 2018, 2018 | 5 | 2018 |
| Challenges of Adversarial Image Augmentations A Blaas, X Suau, J Ramapuram, N Apostoloff, L Zappella I Can’t Believe It’s Not Better Workshop (NeurIPS 2021), 2021 | 4 | 2021 |
| Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory J Ramapuram, Y Wu, A Kalousis ICLR 2021, 2021 | 4 | 2021 |
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