Uncertainty Estimation

Uncertainty estimation in machine learning aims to quantify the reliability of model predictions, addressing the critical need for trustworthy AI systems. Current research focuses on improving uncertainty quantification across diverse model architectures, including Bayesian neural networks, ensembles, and novel methods like evidential deep learning and conformal prediction, often tailored to specific application domains (e.g., medical imaging, natural language processing). Accurate uncertainty estimation is crucial for responsible AI deployment, enabling better decision-making in high-stakes applications and fostering greater trust in AI-driven outcomes across various scientific and practical fields. This includes identifying unreliable predictions, improving model calibration, and mitigating issues like hallucinations in large language models.

Papers

May 31, 2023

A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
Michaël Fonder, Marc Van Droogenbroeck
Unmanned Aerial Vehicle Depth Estimation Uncertainty Estimation Barzilai Borwein Technique Large Depth Multi View Depth Depth Anything

May 25, 2023

Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation
Ifueko Igbinedion, Sertac Karaman
LeArning Abstract Uncertainty Estimation Autonomous Agent Unseen Environment HELP Request Human Expert Efficient Navigation Level Autonomy

May 23, 2023

Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cedric Pradalier
Uncertainty Estimation Deep Learning Classification Mahalanobis Distance Classification Uncertainty Gaussian Latent Gaussian Representation

May 22, 2023

May 15, 2023

Integrating Uncertainty into Neural Network-based Speech Enhancement
Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann
Uncertainty Estimation Neural Topic Prediction Uncertainty Clean Speech Neural Speech Enhancement Speech Enhancement Network Mask Estimation Module

May 12, 2023

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Hongwei B. Li, Bruce R. Rosen, Matthew S. Rosen
Distribution Detection Uncertainty Estimation Magnetic Resonance Imaging Image Reconstruction Magnetic Resonance Imaging Denoising Learning Based Image Reconstruction Local Lipschitz

May 10, 2023

A Neural Emulator for Uncertainty Estimation of Fire Propagation
Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert
Neural Network Uncertainty Estimation Wildfire Dynamic

May 5, 2023

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
Joshua Durso-Finley, Jean-Pierre Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
Uncertainty Estimation Posterior Inference Bayesian Deep Learning Uncertainty Estimation Method Precision Medicine

April 22, 2023

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation
Rafayel Darbinyan, Hrant Khachatrian, Rafayel Mkrtchyan, Theofanis P. Raptis
Uncertainty Estimation Non Line of Sight Input Representation

April 20, 2023

Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Tao Sun, Bojian Yin, Sander Bohte
Spiking Neural Network Uncertainty Estimation Neuromorphic Hardware Predictive Uncertainty Structured Dropout Classical Neural Network Efficient Uncertainty Estimation Monte Carlo Dropout

April 14, 2023

Adaptive Safety-critical Control with Uncertainty Estimation for Human-robot Collaboration
Dianhao Zhang, Mien Van, Stephen Mcllvanna, Yuzhu Sun, Seán McLoone
Uncertainty Estimation Collision Avoidance Control Barrier Function Human Robot Collaboration Safety Critical Control Novel Control

April 13, 2023

Toward Reliable Human Pose Forecasting with Uncertainty
Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani, Parham Saremi, Yashar Zoroofchi Benisi, Amirhossein Alimohammadi, Zahra Tehraninasab, Taylor Mordan, Alexandre Alahi
High Uncertainty Anticipation Uncertainty Estimation Pose Forecasting Future Human Pose Prior Value Estimate

April 11, 2023

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
Neural Network Deep Neural Network Timely Survey Deep Learning Model Loss Function Uncertainty Estimation Post Training Selective Classification Trustworthy Deep Learning Reject Option

April 4, 2023

Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael Smith, Frank Ferrie
Deep Learning Uncertainty Estimation Panoptic Segmentation Ensemble Based Deep Learning Based Computer Vision Ensemble Uncertainty

March 31, 2023

Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
Liyan Chen, Weihan Wang, Philippos Mordohai
Multi Task Learning Uncertainty Estimation Stereo Matching Error Feedback Product Distribution Disparity Map Joint Disparity

March 15, 2023

March 14, 2023

Uncertainty Estimation

Papers

A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles

Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation

Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation

Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems

Integrating Uncertainty into Neural Network-based Speech Enhancement

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz

A Neural Emulator for Uncertainty Estimation of Fire Propagation

Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation

Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout

Adaptive Safety-critical Control with Uncertainty Estimation for Human-robot Collaboration

Toward Reliable Human Pose Forecasting with Uncertainty

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing

Uncertainty estimation in Deep Learning for Panoptic segmentation

Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation

On the Calibration and Uncertainty with P\'{o}lya-Gamma Augmentation for Dialog Retrieval Models

On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem

Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models

On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence