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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
15 March 2017
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
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Papers citing
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
50 / 2,432 papers shown
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media
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Ferhat Demirkiran
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Xavier Intes
Vikas Pandey
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Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
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153
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Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
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Martyn Zhe Yu Tok
214
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Michele Caprio
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
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RUSplatting: Robust 3D Gaussian Splatting for Sparse-View Underwater Scene Reconstruction
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Haoran Wang
Guoxi Huang
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269
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CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
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449
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Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
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199
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InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
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294
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Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models
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Axel Brando
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313
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Eric Nalisnick
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423
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Manish Bhattarai
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262
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Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
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Philip Schniter
259
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Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation
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Minggui He
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Zhanglin Wu
Hao Yang
Wenming Zheng
Osamu Yoshie
227
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Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery
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374
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417
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Non-stationary Diffusion For Probabilistic Time Series Forecasting
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Ning Gui
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440
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Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
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Jihong Park
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418
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Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
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Miguel A. Bessa
UD
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350
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Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
Scandinavian Conference on Image Analysis (SCIA), 2025
Shipeng Liu
Ziliang Xiong
Bastian Wandt
Per-Erik Forssén
268
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Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz
Arjun D Desai
Reinhard Heckel
Tolga Çukur
Akshay Chaudhari
B. Hargreaves
253
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Trisanth Srinivasan
Santosh Patapati
379
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Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
Shixuan Liu
Alex C. Kot
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DiffM
244
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Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning
International Conference on Multimedia Retrieval (ICMR), 2025
Yifan Xie
Fei Ma
Yi Bin
Ying He
Fei Richard Yu
258
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Random-Set Large Language Models
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334
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An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
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Timo Löhr
Paul Hofman
Gitta Kutyniok
Eyke Hüllermeier
UD
423
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Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
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Yuan Wang
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Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
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265
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UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
IEEE International Conference on Robotics and Automation (ICRA), 2025
Pengxuan Yang
Yupeng Zheng
Qichao Zhang
Kefei Zhu
Zebin Xing
Qiao Lin
Yun-Fu Liu
Zhiguo Su
Dongbin Zhao
237
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Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
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Ulas Bagci
251
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Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR
Yujiao Shi
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Erfei Cui
Xu Guo
Pei Chu
Chenhui Li
Ru Zhang
Wenhai Wang
Gongshen Liu
670
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FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
Yasser Benigmim
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Andrei Bursuc
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459
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Road Grip Uncertainty Estimation Through Surface State Segmentation
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Jyri Maanpää
Julius Pesonen
Iaroslav Melekhov
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187
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Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization
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Quantifying Epistemic Uncertainty in Absolute Pose Regression
Scandinavian Conference on Image Analysis (SCIA), 2025
Fereidoon Zangeneh
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Patric Jensfelt
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An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
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Decentralized Collective World Model for Emergent Communication and Coordination
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Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
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Yuxin Wang
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Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
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Qian Yu
Yinghuan Shi
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282
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A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
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