| Resnest: Split-attention networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 2188 | 2022 |
| Siamese recurrent architectures for learning sentence similarity J Mueller, A Thyagarajan Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 1302 | 2016 |
| Autogluon-tabular: Robust and accurate automl for structured data N Erickson, J Mueller, A Shirkov, H Zhang, P Larroy, M Li, A Smola arXiv preprint arXiv:2003.06505, 2020 | 916 | 2020 |
| Pervasive label errors in test sets destabilize machine learning benchmarks CG Northcutt, A Athalye, J Mueller arXiv preprint arXiv:2103.14749, 2021 | 667 | 2021 |
| Antibody Complementarity Determining Region Design Using High-Capacity Machine Learning G Liu, H Zeng, J Mueller, B Carter, Z Wang, J Schilz, G Horny, ... Bioinformatics 36 (7), 2126-2133, 2020 | 181 | 2020 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 5320-5347, 2023 | 153* | 2023 |
| Wnt signaling separates the progenitor and endocrine compartments during pancreas development N Sharon, J Vanderhooft, J Straubhaar, J Mueller, R Chawla, Q Zhou, ... Cell reports 27 (8), 2281-2291. e5, 2019 | 131 | 2019 |
| A peninsular structure coordinates asynchronous differentiation with morphogenesis to generate pancreatic islets N Sharon, R Chawla, J Mueller, J Vanderhooft, LJ Whitehorn, ... Cell 176 (4), 790-804. e13, 2019 | 125 | 2019 |
| Sequence to Better Sequence: Continuous Revision of Combinatorial Structures J Mueller, D Gifford, T Jaakkola International Conference on Machine Learning, 2017 | 122 | 2017 |
| What made you do this? Understanding black-box decisions with sufficient input subsets B Carter, J Mueller, S Jain, D Gifford The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 88* | 2019 |
| Educating text autoencoders: Latent representation guidance via denoising T Shen, J Mueller, R Barzilay, T Jaakkola International conference on machine learning, 8719-8729, 2020 | 85 | 2020 |
| Benchmarking Multimodal AutoML for Tabular Data with Text Fields X Shi, J Mueller, N Erickson, M Li, AJ Smola Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 84* | 2021 |
| IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation Z Jin, D Jin, J Mueller, N Matthews, E Santus Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 83 | 2019 |
| Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles S Jain, G Liu, J Mueller, D Gifford AAAI, 4264-4271, 2020 | 76 | 2020 |
| Quantifying uncertainty in answers from any language model and enhancing their trustworthiness J Chen, J Mueller Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 72* | 2024 |
| Fast, accurate, and simple models for tabular data via augmented distillation R Fakoor, JW Mueller, N Erickson, P Chaudhari, AJ Smola Advances in Neural Information Processing Systems 33, 8671-8681, 2020 | 67 | 2020 |
| Overinterpretation reveals image classification model pathologies B Carter, S Jain, JW Mueller, D Gifford Advances in Neural Information Processing Systems 34, 15395-15407, 2021 | 62 | 2021 |
| Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial T Luescher, J Mueller, C Isenschmid, J Kalt, R Rasiah, T Tondorf, M Gamp, ... Resuscitation 142, 50-60, 2019 | 57 | 2019 |
| Deep learning for the partially linear Cox model Q Zhong, J Mueller, JL Wang The Annals of Statistics 50 (3), 1348-1375, 2022 | 56 | 2022 |
| Principal differences analysis: Interpretable characterization of differences between distributions J Mueller, T Jaakkola Advances in Neural Information Processing Systems, 2015 | 48 | 2015 |