Jonas Mueller
- Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
2021/03/26 by Curtis G. Northcutt, Anish Athalye, Jonas Mueller · 3 voices · 39 citations
#stat.ML #cs.AI #cs.LG
- ResNeSt: Split-Attention Networks
2020/04/19 by Hang Zhang, Chongruo Wu, Zhang, Hang +21 · 1 voice · 14 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
2020/03/13 by Nick Erickson, Jonas Mueller, Erickson, Nick +11 · 45 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Anomaly Detection Techniques and Applications
- Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
2023/08/30 by Jiuhai Chen, Chen, Jiuhai, Jonas Mueller +1 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
- Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
2018/01/30 by Jonas Mueller, Mueller, Jonas, Vasilis Syrgkanis +3 · 7 citations
Decision Sciences · Computer Science · Engineering · #Advanced Bandit Algorithms Research #Optimization and Search Problems #Sparse and Compressive Sensing Techniques
- DataPerf: Benchmarks for Data-Centric AI Development
2022/07/20 by Mark Mazumder, Mazumder, Mark, Colby Banbury +78 · 6 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data
2023/09/02 by Ulyana Tkachenko, Aditya Thyagarajan, Tkachenko, Ulyana +3 · 5 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
- Deep learning for the partially linear Cox model
2022/06/01 by Qixian Zhong, Jonas Mueller, Jane-Ling Wang · 3 citations
Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Advanced Causal Inference Techniques
- Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep\n Ensembles
2019/06/18 by Siddhartha Jain, Jain, Siddhartha, Ge Liu +5 · 2 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science
- Automated Data Curation for Robust Language Model Fine-Tuning
2024/03/19 by Jiuhai Chen, Jonas Mueller, Chen, Jiuhai +1 · 4 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
- Estimating label quality and errors in semantic segmentation data via any model
2023/07/11 by Vedang Lad, Jonas Mueller, Lad, Vedang +1 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- What made you do this? Understanding black-box decisions with sufficient\n input subsets
2018/10/09 by Brandon Carter, Carter, Brandon, Jonas Mueller +5 · 1 citation
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science #Topic Modeling
- Overinterpretation reveals image classification model pathologies
2020/03/19 by Brandon Carter, Carter, Brandon, Siddhartha Jain +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
2022/07/07 by Johnson Kuan, Kuan, Johnson, Jonas Mueller +1 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)