More from the Same Authors

• 2021 : Multimodal AutoML on Structured Tables with Text Fields »
  Xingjian Shi · Jonas Mueller · Nick Erickson · Mu Li · Alex Smola
• 2021 : Continuous Doubly Constrained Batch Reinforcement Learning »
  Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Pratik Chaudhari · Alex Smola
• 2022 : Adaptive Interest for Emphatic Reinforcement Learning »
  Martin Klissarov · Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Taesup Kim · Alex Smola
• 2022 : Back to the Basics: Revisiting Out-of-Distribution Detection Baselines »
  Johnson Kuan · Jonas Mueller
• 2023 : How to Cope with Gradual Data Drift? »
  Rasool Fakoor · Jonas Mueller · Zachary Lipton · Pratik Chaudhari · Alex Smola
• 2023 : Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors »
  Jesse Cummings · Jonas Mueller · Elías Snorrason
• 2023 : Estimating label quality and errors in semantic segmentation data via any model »
  Vedang Lad · Jonas Mueller
• 2023 : Detecting Errors in Numerical Data via any Regression Model »
  Hang Zhou · Jonas Mueller · Mayank Kumar · Jane-Ling Wang · Jing Lei
• 2023 : ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data »
  Ulyana Tkachenko · Aditya Thyagarajan · Jonas Mueller
• 2022 : Model-Agnostic Label Quality Scoring to Detect Real-World Label Errors »
  Jonas Mueller
• 2021 : Contributed Talk: Multimodal AutoML on Structured Tables with Text Fields »
  Jonas Mueller
• 2021 Poster: Deep Learning for Functional Data Analysis with Adaptive Basis Layers »
  Junwen Yao · Jonas Mueller · Jane-Ling Wang
• 2021 Spotlight: Deep Learning for Functional Data Analysis with Adaptive Basis Layers »
  Junwen Yao · Jonas Mueller · Jane-Ling Wang
• 2020 : 1.2 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data »
  Jonas Mueller
• 2020 Poster: Educating Text Autoencoders: Latent Representation Guidance via Denoising »
  Tianxiao Shen · Jonas Mueller · Regina Barzilay · Tommi Jaakkola