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uncertainty modeling

69 papers

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uncertainty quantification (1365) bayesian inference (1904) gaussian distribution (127) knowledge distillation (3680) autonomous driving (1142) depth estimation (1540) probabilistic modeling (851) pose estimation (1012) weakly supervised learning (1323) multimodal learning (4622)

Papers

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text ACL 2020
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020
Gaussian Embedding of Linked Documents from a Pretrained Semantic Space IJCAI 2020
Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition INTERSPEECH 2020
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation AAAI 2020
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty IJCAI 2019
Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition ICCV 2019
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty ICCV 2019
Visionary Security: Using Uncertain Real-Time Information in Signaling Games IJCAI 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019
A Bayesian Approach for Sequence Tagging with Crowds IJCNLP 2019
The Visual Centrifuge: Model-Free Layered Video Representations CVPR 2019
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources IJCAI 2017
Uncertainty Models for TTC-Based Collision-Avoidance RSS 2017
Bingham Distribution-Based Linear Filter for Online Pose Estimation RSS 2017
Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014
Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Multiple timescales and uncertainty in motor adaptation NIPS 2006