| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 721 | 2022 |
| Binder 2.0-Reproducible, interactive, sharable environments for science at scale B Ragan-Kelley, C Willing, F Akici, D Lippa, D Niederhut, M Pacer Proceedings of the 17th python in science conference, 113-120, 2018 | 175 | 2018 |
| Total property optimization system for energy efficiency and smart buildings RN Anderson, A Boulanger, V Bhandari, E Boniberger, A Gagneja, ... US Patent App. 14/341,718, 2015 | 71 | 2015 |
| The Scientific Method in the Science of Machine Learning JZ Forde, M Paganini ICLR 2019 Debugging Machine Learning Models workshop, 2019 | 33 | 2019 |
| Efficient methods for natural language processing: a survey M Treviso, T Ji, JU Lee, B van Aken, Q Cao, MR Ciosici, M Hassid, ... arXiv preprint arXiv:2209.00099, 2023 | 32 | 2023 |
| Reproducible research environments with repo2docker J Forde, T Head, C Holdgraf, Y Panda, G Nalvarete, B Ragan-Kelley, ... | 25 | 2018 |
| Hyperparameter optimization is deceiving us, and how to stop it AF Cooper, Y Lu, J Forde, CM De Sa Advances in Neural Information Processing Systems 34, 3081-3095, 2021 | 17 | 2021 |
| Model selection's disparate impact in real-world deep learning applications JZ Forde, AF Cooper, K Kwegyir-Aggrey, C De Sa, M Littman arXiv preprint arXiv:2104.00606, 2021 | 17 | 2021 |
| On iterative neural network pruning, reinitialization, and the similarity of masks M Paganini, J Forde arXiv preprint arXiv:2001.05050, 2020 | 14 | 2020 |
| Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex C Lovering*, JZ Forde*, G Konidaris, E Pavlick, ML Littman arXiv preprint arXiv:2211.14673, 2022 | 12* | 2022 |
| Streamlining tensor and network pruning in pytorch M Paganini, J Forde arXiv preprint arXiv:2004.13770, 2020 | 12 | 2020 |
| NeurIPS 2019 reproducibility challenge K Sinha, J Pineau, J Forde, RN Ke, H Larochelle ReScience C 6 (2), 11, 2020 | 10 | 2020 |
| A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human–Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways TR Groechel, ME Walker, CT Chang, E Rosen, JZ Forde IEEE Robotics & Automation Magazine 29 (1), 35-44, 2022 | 9* | 2022 |
| Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models J Zech, J Forde, J Titano, D Kaji, A Costa, EK Oermann Annals of Translational Medicine, 2018 | 9 | 2018 |
| Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages ZX Yong, R Zhang, J Zosa Forde, S Wang, S Cahyawijaya, H Lovenia, ... arXiv e-prints, arXiv: 2303.13592, 2023 | 7* | 2023 |
| Reproducing machine learning research on binder J Forde, M Bussonnier, FA Fortin, B Granger, T Head, C Holdgraf, ... | 7 | 2018 |
| Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding M Paganini, JZ Forde arXiv preprint arXiv:2007.04091, 2020 | 6 | 2020 |
| Towards reproducible machine learning research in natural language processing A Lucic, M Bleeker, S Bhargav, J Forde, K Sinha, J Dodge, S Luccioni, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 5 | 2022 |
| Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation C Blakeney, JZ Forde, J Frankle, Z Zong, ML Leavitt arXiv preprint arXiv:2211.00683, 2022 | 4 | 2022 |
| Virtual, augmented, and mixed reality for HRI (VAM-HRI) CT Chang, E Rosen, TR Groechel, M Walker, JZ Forde 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022 | 3 | 2022 |
Michela PaganiniDeepMindVerified email at google.com
