Revisiting the Calibration of Modern Neural Networks

15 June 2021

Papers citing "Revisiting the Calibration of Modern Neural Networks"

50 / 254 papers shown

Title
Uncertainty estimation in Deep Learning for Panoptic segmentation Michael J. Smith F. Ferrie OOD UQCV 35 0 0 04 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 27 8 0 04 Apr 2023
Uncertainty Propagation in Node Classification Zhao Xu Carolin (Haas) Lawrence Ammar Shaker Raman Siarheyeu BDL UQCV 47 2 0 03 Apr 2023
Towards Unbiased Calibration using Meta-Regularization Cheng Wang Jacek Golebiowski 28 1 0 27 Mar 2023
Reliability in Semantic Segmentation: Are We on the Right Track? Pau de Jorge Riccardo Volpi Philip H. S. Torr Grégory Rogez UQCV 26 19 0 20 Mar 2023
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines L. Das B. Gjorgiev G. Sansavini AI4CE 29 2 0 20 Mar 2023
Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models Will LeVine Benjamin Pikus P. Raj Fernando Amat Gil VLM UQCV 15 11 0 11 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 34 6 0 10 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
Expectation consistency for calibration of neural networks Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 15 6 0 05 Mar 2023
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models Kaitlyn Zhou Dan Jurafsky Tatsunori Hashimoto 21 50 0 26 Feb 2023
Distilling Calibrated Student from an Uncalibrated Teacher Ishan Mishra Sethu Vamsi Krishna Deepak Mishra FedML 37 2 0 22 Feb 2023
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000 Sontje Ihler Felix Kuhnke Svenja Spindeldreier 22 1 0 13 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 13 6 0 13 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 33 1 0 12 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani Josip Djolonga Basil Mustafa Piotr Padlewski Jonathan Heek ... Mario Luvcić Xiaohua Zhai Daniel Keysers Jeremiah Harmsen N. Houlsby MLLM 61 570 0 10 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 34 4 0 10 Feb 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Zachary Novack Julian McAuley Zachary Chase Lipton Saurabh Garg VLM 29 79 0 06 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 24 1 0 03 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng Yumin Suh Stephen Gould Liang Zheng UQCV 26 12 0 02 Feb 2023
How to select predictive models for causal inference? M. Doutreligne Gaël Varoquaux ELM CML 29 2 0 01 Feb 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 29 19 0 30 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 35 0 0 27 Dec 2022
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Dongdong Wang Boqing Gong Liqiang Wang 21 23 0 22 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 30 5 0 07 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 0 01 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
Class Adaptive Network Calibration Bingyuan Liu Jérôme Rony Adrian Galdran Jose Dolz Ismail Ben Ayed 40 8 0 28 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All Nazir Nayal Mısra Yavuz João F. Henriques Fatma Guney UQCV 19 46 0 25 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling Harit Vishwakarma Heguang Lin Frederic Sala Ramya Korlakai Vinayak 34 9 0 22 Nov 2022
Calibrated Interpretation: Confidence Estimation in Semantic Parsing Elias Stengel-Eskin Benjamin Van Durme UQLM 41 24 0 14 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models Yangyi Chen Lifan Yuan Ganqu Cui Zhiyuan Liu Heng Ji 27 43 0 31 Oct 2022
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel Marine Le Morvan Gaël Varoquaux UQCV 11 26 0 28 Oct 2022
Federated Calibration and Evaluation of Binary Classifiers Graham Cormode Igor L. Markov FedML 33 4 0 22 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 189 22 0 20 Oct 2022
A Closer Look at the Calibration of Differentially Private Learners Hanlin Zhang Xuechen Li Prithviraj Sen Salim Roukos Tatsunori Hashimoto 16 3 0 15 Oct 2022
Curved Representation Space of Vision Transformers Juyeop Kim Junha Park Songkuk Kim Jongseok Lee ViT 35 6 0 11 Oct 2022
On the Importance of Calibration in Semi-supervised Learning Charlotte Loh Rumen Dangovski Shivchander Sudalairaj Seung-Jun Han Ligong Han Leonid Karlinsky Marin Soljacic Akash Srivastava 27 6 0 10 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 77 0 05 Oct 2022
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 34 18 0 05 Oct 2022
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 29 25 0 01 Oct 2022
Transfer Learning with Pretrained Remote Sensing Transformers A. Fuller K. Millard J.R. Green 30 11 0 28 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 20 5 0 23 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 32 0 0 09 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 35 10 0 08 Sep 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 27 5 0 05 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022