| Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International Conference on Machine Learning, 2018 | 600 | 2018 |
| Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020 | 576 | 2020 |
| Ask me anything: A simple strategy for prompting language models S Arora, A Narayan, MF Chen, L Orr, N Guha, K Bhatia, I Chami, F Sala, ... arXiv preprint arXiv:2210.02441, 2022 | 320 | 2022 |
| Learning mixed-curvature representations in product spaces A Gu, F Sala, B Gunel, C Ré International conference on learning representations, 2018 | 310 | 2018 |
| Training complex models with multi-task weak supervision A Ratner, B Hancock, J Dunnmon, F Sala, S Pandey, C Ré Proceedings of the AAAI conference on artificial intelligence 33 (01), 4763-4771, 2019 | 269 | 2019 |
| Fast and three-rious: Speeding up weak supervision with triplet methods D Fu, M Chen, F Sala, S Hooper, K Fatahalian, C Ré International conference on machine learning, 3280-3291, 2020 | 157 | 2020 |
| Skill-it! a data-driven skills framework for understanding and training language models M Chen, N Roberts, K Bhatia, J Wang, C Zhang, F Sala, C Ré Advances in Neural Information Processing Systems 36, 36000-36040, 2023 | 107 | 2023 |
| Exact reconstruction from insertions in synchronization codes F Sala, R Gabrys, C Schoeny, L Dolecek IEEE Transactions on Information Theory 63 (4), 2428-2445, 2017 | 99 | 2017 |
| Codes correcting two deletions R Gabrys, F Sala IEEE Transactions on Information Theory 65 (2), 965-974, 2018 | 86 | 2018 |
| Learning dependency structures for weak supervision models P Varma, F Sala, A He, A Ratner, C Ré International Conference on Machine Learning, 6418-6427, 2019 | 84 | 2019 |
| Dynamic threshold schemes for multi-level non-volatile memories F Sala, R Gabrys, L Dolecek IEEE Transactions on Communications 61 (7), 2624-2634, 2013 | 78 | 2013 |
| NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar arXiv preprint arXiv:2110.05668, 2022 | 77* | 2022 |
| Linearly many faults in 2‐tree‐generated networks E Cheng, L Lipták, F Sala Networks: An International Journal 55 (2), 90-98, 2010 | 65 | 2010 |
| Universalizing Weak Supervision C Shin, W Li, H Vishwakarma, N Roberts, F Sala International Conference on Learning Representations (ICLR) 2022, 2022 | 49 | 2022 |
| Multi-Resolution Weak Supervision for Sequential Data F Sala, P Varma, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ... Advances in Neural Information Processing Systems, 192-203, 2019 | 45 | 2019 |
| Synchronizing files from a large number of insertions and deletions F Sala, C Schoeny, N Bitouzé, L Dolecek IEEE Transactions on Communications 64 (6), 2258-2273, 2016 | 45 | 2016 |
| Zero-shot robustification of zero-shot models D Adila, C Shin, L Cai, F Sala International Conference on Learning Representations (ICLR) 2024, 2024 | 42 | 2024 |
| Ivy: Instrumental variable synthesis for causal inference Z Kuang, F Sala, N Sohoni, S Wu, A Córdova-Palomera, J Dunnmon, ... International Conference on Artificial Intelligence and Statistics, 398-410, 2020 | 39 | 2020 |
| Signal processing and coding techniques for 2-D magnetic recording: An overview SS Garani, L Dolecek, J Barry, F Sala, B Vasić Proceedings of the IEEE 106 (2), 286-318, 2018 | 38 | 2018 |
| Codes correcting erasures and deletions for rank modulation R Gabrys, E Yaakobi, F Farnoud, F Sala, J Bruck, L Dolecek IEEE Transactions on Information Theory 62 (1), 136-150, 2015 | 37 | 2015 |
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
