Calibrating Deep Neural Networks using Focal Loss

21 February 2020

Papers citing "Calibrating Deep Neural Networks using Focal Loss"

50 / 269 papers shown

Title
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
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training Tareen Dawood B. Ruijsink Reza Razavi Andrew P. King Esther Puyol-Antón UQCV 40 1 0 10 May 2024
Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency Yuqi Zhou Hao Zhu 19 1 0 09 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 24 0 0 02 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 24 1 0 02 May 2024
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration Masanari Kimura Hiroki Naganuma 21 0 0 01 May 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 40 2 0 24 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Philip S. Yu AI4CE 29 1 0 23 Apr 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 39 1 0 19 Apr 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 43 2 0 22 Mar 2024
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion Hee Suk Yoon Eunseop Yoon Joshua Tian Jin Tee M. Hasegawa-Johnson Yingzhen Li C. Yoo VLM 60 23 0 21 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 32 2 0 19 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz 32 1 0 19 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 34 5 0 15 Mar 2024
Model-Free Local Recalibration of Neural Networks R. Torres David J. Nott S. Sisson T. Rodrigues J. G. Reis G. S. Rodrigues 29 1 0 09 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 41 4 0 07 Mar 2024
A machine learning workflow to address credit default prediction Rambod Rahmani Marco Parola M. G. Cimino 13 2 0 06 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition Yizheng Gong Siyue Yu Xiaoyang Wang Jimin Xiao CLL 27 5 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 46 10 0 05 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 45 1 0 04 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 24 1 0 27 Feb 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 32 1 0 22 Feb 2024
Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen Subhro Das Kristjan Greenewald P. Sattigeri Greg Wornell Soumya Ghosh 64 2 0 20 Feb 2024
Multi-View Conformal Learning for Heterogeneous Sensor Fusion Enrique Garcia-Ceja 19 1 0 19 Feb 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 41 18 0 19 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Joey Tianyi Zhou Qinghua Hu 29 4 0 13 Feb 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition Chen Chen Ruizhe Li Yuchen Hu Sabato Marco Siniscalchi Pin-Yu Chen Ensiong Chng Chao-Han Huck Yang 26 19 0 08 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen Qinghua Tao F. Tonin Johan A. K. Suykens 22 1 0 02 Feb 2024
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration Kotaro Yoshida Hiroki Naganuma 68 1 0 31 Jan 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Balamurali Murugesan Sukesh Adiga Vasudeva Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 34 5 0 25 Jan 2024
Task-specific regularization loss towards model calibration for reliable lung cancer detection Mehar Prateek Kalra Mansi Singhal Rohan Raju Dhanakashirur UQCV 13 0 0 21 Jan 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Yixuan Li OODD 22 10 0 22 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 37 1 0 18 Dec 2023
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 30 8 0 11 Dec 2023
Conformal Prediction in Multi-User Settings: An Evaluation Enrique Garcia-Ceja Luciano Garcia-Banuelos Nicolas Jourdan 17 1 0 08 Dec 2023
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification T. Gomez Harold Mouchère FAtt 11 0 0 29 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 79 2 0 23 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 41 54 0 14 Nov 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 40 8 0 06 Nov 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 27 13 0 03 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 55 1 0 02 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds Muyang Li Runze Wu Haoyu Liu Jun-chen Yu Xun Yang Bo Han Tongliang Liu 29 17 0 29 Oct 2023
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic Dexter Neo Tsuhan Chen 30 1 0 26 Oct 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 16 3 0 26 Oct 2023
Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models Reshmi Ghosh Harjeet Singh Kajal Sharanya Kamath Dhuri Shrivastava Samyadeep Basu Hansi Zeng Soundararajan Srinivasan 12 0 0 26 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 22 8 0 24 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 13 2 0 16 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 20 12 0 10 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023