Recurrent Neural Networks (RNNs): A gentle Introduction and Overview RM Schmidt arXiv preprint arXiv:1912.05911, 2019 | 186 | 2019 |
Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers RM Schmidt, F Schneider, P Hennig ICML 2021, 2021 | 174 | 2021 |
NL-Augmenter🦎→ 🐍: A Framework for Task-Sensitive Natural Language Augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... NEJLT 2023, 2023 | 64 | 2023 |
Learning Language-Specific Layers for Multilingual Machine Translation TP Pires, RM Schmidt, YH Liao, S Peitz ACL 2023, 2023 | 9 | 2023 |
Non-Autoregressive Neural Machine Translation: A Call for Clarity RM Schmidt, T Pires, S Peitz, J Lööf EMNLP 2022, 2022 | 6 | 2022 |
State Spaces Aren't Enough: Machine Translation Needs Attention A Vardasbi, TP Pires, RM Schmidt, S Peitz EAMT 2023, 2023 | 3 | 2023 |
Explainability-aided domain generalization for image classification RM Schmidt arXiv preprint arXiv:2104.01742, 2021 | 3 | 2021 |
Collaborative Filtering under Model Uncertainty RM Schmidt, M Hahn arXiv preprint arXiv:2008.10117, 2020 | | 2020 |