Cautious Deep Learning

24 May 2018

Papers citing "Cautious Deep Learning"

19 / 19 papers shown

Title
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 82 3 0 09 Oct 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip H. S. Torr Adel Bibi AAML 42 0 0 22 May 2024
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 91 2 0 22 May 2024
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 24 12 0 10 Sep 2023
Do Multi-Document Summarization Models Synthesize? Jay DeYoung Stephanie C. Martinez Iain J. Marshall Byron C. Wallace 16 8 0 31 Jan 2023
Conformal inference is (almost) free for neural networks trained with early stopping Zi-Chen Liang Yan Zhou Matteo Sesia BDL 18 10 0 27 Jan 2023
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction Roel Hulsman 16 5 0 26 Oct 2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers Zi-Chen Liang Matteo Sesia Wenguang Sun OODD 20 19 0 23 Aug 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 23 21 0 20 Jul 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 19 79 0 18 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 97 125 0 03 Oct 2021
Combining Deep Learning and Verification for Precise Object Instance Detection Siddharth Ancha Junyu Nan David Held 21 3 0 27 Dec 2019
Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines David Zhao Alessandro Rinaldo C. Brookins 11 8 0 26 Nov 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 13 1,352 0 21 Oct 2019
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 8 37 0 20 Aug 2019
Rarely-switching linear bandits: optimization of causal effects for the real world B. Lansdell Sofia Triantafillou Konrad Paul Kording 17 4 0 30 May 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 284 5,835 0 08 Jul 2016
Cross-conformal predictors V. Vovk 123 196 0 03 Aug 2012