High Uncertainty Anticipation

High uncertainty anticipation focuses on developing methods to accurately quantify and manage uncertainty in model predictions across diverse fields, aiming to improve the reliability and trustworthiness of AI systems. Current research emphasizes integrating uncertainty estimation into various model architectures, including neural networks, diffusion models, and graph neural networks, often employing techniques like Bayesian methods, conformal prediction, and ensemble methods. This work is crucial for deploying AI in high-stakes applications like healthcare, autonomous driving, and finance, where reliable uncertainty quantification is paramount for safe and effective decision-making.

Papers

February 9, 2023

Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples
Danial Khatamsaz, Vahid Attari, Raymundo Arroyave, Douglas L. Allaire
High Uncertainty Anticipation Uncertainty Estimation Model Uncertainty Monte Carlo Uncertainty Propagation Fast Propagation Material Informatics Monte Carlo Simulation

February 8, 2023

Fairness in Matching under Uncertainty
Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova
Procedural Fairness High Uncertainty Anticipation Matching Accuracy Individual Fairness Algorithmic Decision Two Sided Reward Ambiguity Fair Utility

February 7, 2023

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
High Uncertainty Anticipation Distribution Shift Regression Model Uncertainty Score Regression Uncertainty Estimation

February 2, 2023

Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano, Novi Quadrianto
High Uncertainty Anticipation Fairness Metric Bayesian Approach Fairness Assessment Confusion Matrix Fluctuation Analysis Stable Explanation

January 30, 2023

Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty
Jonathan Michaux, Patrick Holmes, Bohao Zhang, Che Chen, Baiyue Wang, Shrey Sahgal, Tiancheng Zhang, Sidhartha Dey, Shreyas Kousik, Ram Vasudevan
Motion Planning External Control High Uncertainty Anticipation Trajectory Planning Serial Manipulator Real Time Motion Planning Robust Manipulation Safe Motion

January 29, 2023

Fair Decision-making Under Uncertainty
Wenbin Zhang, Jeremy C. Weiss
Procedural Fairness High Uncertainty Anticipation Fairness Constraint Fairness Notion Algorithmic Decision Fair Decision Fair Prediction

January 27, 2023

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation
Daesol Cho, Seungjae Lee, H. Jin Kim
Reinforcement Learning High Uncertainty Anticipation Temporal Information Exploration Problem Aware Curriculum Current Reinforcement Learning

January 18, 2023

January 12, 2023

January 11, 2023

Uncertainty Estimation based on Geometric Separation
Gabriella Chouraqui, Liron Cohen, Gil Einziger, Liel Leman
High Uncertainty Anticipation Uncertainty Estimation Geometric Approach Accurate Uncertainty Point to Plane Distance Spatial Separation

December 25, 2022

A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty
Kaan Deveci, Onder Guler
High Uncertainty Anticipation Extension Study Multi Criterion Multi Criterion Decision Intuitionistic Fuzzy Hypervolume Approximation

December 23, 2022

Benchmark for Uncertainty & Robustness in Self-Supervised Learning
Ha Manh Bui, Iliana Maifeld-Carucci
Native Robustness Self Supervised Learning New Benchmark High Uncertainty Anticipation Distribution Shift Robust Generalization

December 20, 2022

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
Ethan Goan, Clinton Fookes
Pre Trained Model High Uncertainty Anticipation Semantic Segmentation Model Embedded System Real Time Semantic Segmentation Predictive Capability Moment Propagation

December 15, 2022

Combating Uncertainty and Class Imbalance in Facial Expression Recognition
Jiaxiang Fan, Jian Zhou, Xiaoyu Deng, Huabin Wang, Liang Tao, Hon Keung Kwan
High Uncertainty Anticipation Facial Expression Class Imbalance Facial Expression Recognition Convolutional Block Attention Feature Uncertainty

December 13, 2022

An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Zhijie Wang, Yuheng Huang, Lei Ma, Haruki Yokoyama, Susumu Tokumoto, Kazuki Munakata
Deep Learning Deep Neural Network High Uncertainty Anticipation AI System Camera Lens Exploratory Study Data Distribution AI Risk

December 8, 2022

Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang
Pseudo Label High Uncertainty Anticipation Video Anomaly Detection Video Level Probabilistic Completeness Weakly Supervised Video Anomaly Detection Iterative Pseudo Labeling

December 3, 2022

High Uncertainty Anticipation

Papers

Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples

Fairness in Matching under Uncertainty

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?

Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations

Can't Touch This: Real-Time, Safe Motion Planning and Control for Manipulators Under Uncertainty

Fair Decision-making Under Uncertainty

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

Measuring uncertainty in human visual segmentation

On solving decision and risk management problems subject to uncertainty

Modeling the evolution of temporal knowledge graphs with uncertainty

SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records

Uncertainty Estimation based on Geometric Separation

A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty

Benchmark for Uncertainty & Robustness in Self-Supervised Learning

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems

Combating Uncertainty and Class Imbalance in Facial Expression Recognition

An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty

Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection

Distributionally Robust Lyapunov Function Search Under Uncertainty

Quantify the Causes of Causal Emergence: Critical Conditions of Uncertainty and Asymmetry in Causal Structure