| Unsupervised learning of sentence embeddings using compositional n-gram features M Pagliardini, P Gupta, M Jaggi NAACL-HLT, 2018, 2017 | 925 | 2017 |
| Meditron-70b: Scaling medical pretraining for large language models Z Chen, AH Cano, A Romanou, A Bonnet, K Matoba, F Salvi, ... arXiv preprint arXiv:2311.16079, 2023 | 195 | 2023 |
| Agree to disagree: Diversity through disagreement for better transferability M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy ICLR 2023, 2022 | 71 | 2022 |
| Better word embeddings by disentangling contextual n-gram information P Gupta, M Pagliardini, M Jaggi NAACL-HLT, 2019, 2019 | 52 | 2019 |
| Taming gans with lookahead T Chavdarova, M Pagliardini, SU Stich, M Jaggi, F Fleuret ICLR 2021, 2020 | 39* | 2020 |
| Fast attention over long sequences with dynamic sparse flash attention M Pagliardini, D Paliotta, M Jaggi, F Fleuret Advances in Neural Information Processing Systems 36, 59808-59831, 2023 | 26* | 2023 |
| The peril of popular deep learning uncertainty estimation methods Y Liu, M Pagliardini, T Chavdarova, SU Stich Bayesian Deep Learning workshop, at NeurIPS 2021, 2021 | 17 | 2021 |
| Doge: Domain reweighting with generalization estimation S Fan, M Pagliardini, M Jaggi arXiv preprint arXiv:2310.15393, 2023 | 12 | 2023 |
| Unsupervised learning of sentence embeddings using compositional n-gram features (2017) M Pagliardini, P Gupta, M Jaggi arXiv preprint arXiv:1703.02507, 2017 | 11 | 2017 |
| DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging M Pagliardini, A Mohtashami, F Fleuret, M Jaggi arXiv preprint arXiv:2402.02622, 2024 | 3 | 2024 |
| Improving generalization via uncertainty driven perturbations M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova arXiv preprint arXiv:2202.05737, 2022 | 3 | 2022 |
| The ademamix optimizer: Better, faster, older M Pagliardini, P Ablin, D Grangier arXiv preprint arXiv:2409.03137, 2024 | 2 | 2024 |
| A Primal-Dual Approach to Solving Variational Inequalities with General Constraints T Chavdarova, T Yang, M Pagliardini, M Jordan The Twelfth International Conference on Learning Representations, 2024 | 2* | 2024 |
| Diversity through disagreement for better transferability M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 2 | 2022 |
| CoTFormer: More Tokens With Attention Make Up For Less Depth A Mohtashami, M Pagliardini, M Jaggi arXiv preprint arXiv:2310.10845, 2023 | 1 | 2023 |
| Fast causal attention with dynamic sparsity D Paliotta, M Pagliardini, M Jaggi, F Fleuret Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 1 | 2023 |
| Improved generalization-robustness trade-off via uncertainty targeted attacks M Pagliardini, G Manunza, M Jaggi, T Chavdarova | 1 | 2022 |
| MEDITRON: Open Medical Foundation Models Adapted for Clinical Practice A Bosselut, Z Chen, A Romanou, A Bonnet, A Hernández-Cano, ... | | 2024 |
| MLO J Bachmann Ona, SA Bahreinian, LF Barba Flores, WA Ben Naceur, ... | | |
Martin JaggiEPFLVerified email at epfl.ch
