| Siamese recurrent architectures for learning sentence similarity J Mueller, A Thyagarajan Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 948 | 2016 |
| 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 | 733* | 2022 |
| 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 | 182 | 2020 |
| Pervasive label errors in test sets destabilize machine learning benchmarks CG Northcutt, A Athalye, J Mueller arXiv preprint arXiv:2103.14749, 2021 | 156 | 2021 |
| Sequence to Better Sequence: Continuous Revision of Combinatorial Structures J Mueller, D Gifford, T Jaakkola International Conference on Machine Learning, 2017 | 91 | 2017 |
| 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 | 79 | 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 | 78 | 2019 |
| 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 | 69 | 2020 |
| 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 | 54* | 2019 |
| 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 | 43* | 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 | 35* | 2020 |
| Principal differences analysis: Interpretable characterization of differences between distributions J Mueller, T Jaakkola Advances in Neural Information Processing Systems, 2015 | 30 | 2015 |
| General triallelic frequency spectrum under demographic models with variable population size PA Jenkins, JW Mueller, YS Song Genetics 196 (1), 295-311, 2014 | 30 | 2014 |
| 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 | 29 | 2019 |
| Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles S Jain, G Liu, J Mueller, D Gifford AAAI, 4264-4271, 2020 | 26 | 2020 |
| 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 | 23 | 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 | 13 | 2021 |
| Learning Optimal Interventions J Mueller, D Reshef, G Du, T Jaakkola Artificial Intelligence and Statistics 54, 1039-1047, 2017 | 12 | 2017 |
| Benchmarking multimodal automl for tabular data with text fields X Shi, J Mueller, N Erickson, M Li, AJ Smola arXiv preprint arXiv:2111.02705, 2021 | 10* | 2021 |
| Trade: Transformers for density estimation R Fakoor, P Chaudhari, J Mueller, AJ Smola arXiv preprint arXiv:2004.02441, 2020 | 10 | 2020 |
