Unsupervised learning of sentence embeddings using compositional n-gram features M Pagliardini, P Gupta, M Jaggi NAACL-HLT, 2018, 2017 | 735 | 2017 |
Better word embeddings by disentangling contextual n-gram information P Gupta, M Pagliardini, M Jaggi NAACL-HLT, 2019, 2019 | 37 | 2019 |
Taming gans with lookahead T Chavdarova, M Pagliardini, SU Stich, M Jaggi, F Fleuret ICLR 2021, 2020 | 22* | 2020 |
Agree to disagree: Diversity through disagreement for better transferability M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy arXiv preprint arXiv:2202.04414, 2022 | 12 | 2022 |
The peril of popular deep learning uncertainty estimation methods Y Liu, M Pagliardini, T Chavdarova, SU Stich arXiv preprint arXiv:2112.05000, 2021 | 4 | 2021 |
Improving Generalization via Uncertainty Driven Perturbations M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova arXiv preprint arXiv:2202.05737, 2022 | 1 | 2022 |
Revisiting the ACVI Method for Constrained Variational Inequalities T Chavdarova, M Pagliardini, T Yang, MI Jordan arXiv preprint arXiv:2210.15659, 2022 | | 2022 |
A Primal-dual Approach for Solving Variational Inequalities with General-form Constraints T Chavdarova, M Pagliardini, T Yang, MI Jordan | | |
Diversity through Disagreement for Better Transferability M Pagliardini, M Jaggi, F Fleuret, SP Karimireddy NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 0 | | |
MLO J Bachmann Ona, SA Bahreinian, LF Barba Flores, T Bossy, ... | | |
Improved Generalization-Robustness Trade-off via Uncertainty Targeted Attacks M Pagliardini, G Manunza, M Jaggi, T Chavdarova | | |