What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017

Alex Kendall

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

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Title
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 46 1 0 02 Aug 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts Youna Kim Hyuhng Joon Kim Cheonbok Park Choonghyun Park Hyunsoo Cho Junyeob Kim Kang Min Yoo Sang-goo Lee Taeuk Kim 36 5 0 02 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 46 2 0 01 Aug 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Yakun Wang Daixin Wang Hongrui Liu Bin Hu Yingcui Yan Qiyang Zhang Qing Cui 35 6 0 30 Jul 2024
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting Zhao Mingyang Jia Xiaohong Lei Ma Yuke Shi Jingen Jiang Qizhai Li Ming-Hsuan Yang Huang Tiejun 39 1 0 27 Jul 2024
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs Jingpeng Xie Shiyu Tan Yuanlei Wang Yizhen Lao Yifei Xue Yizhen Lao 53 0 0 26 Jul 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing Changchang Yin Ruoqi Liu Bingsheng Yao Dongdong Zhang Jeffrey Caterino Ping Zhang 27 42 0 24 Jul 2024
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 36 0 0 23 Jul 2024
Dataset Distillation by Automatic Training Trajectories Dai Liu Jindong Gu Hu Cao Carsten Trinitis Martin Schulz DD 43 11 0 19 Jul 2024
Unmasking Social Bots: How Confident Are We? J. Giroux Ariyarathne Gangani Alexander C. Nwala C. Fanelli 31 1 0 18 Jul 2024
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance Yufei Zhang Jeffrey O. Kephart Qiang Ji 3DH 31 0 0 17 Jul 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process Yihang Chen Tsai Hor Chan Guosheng Yin Yuming Jiang Lequan Yu 35 0 0 16 Jul 2024
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion Sungmin Woo Wonjoon Lee Woo Jin Kim Dogyoon Lee Sangyoun Lee MDE 20 3 0 12 Jul 2024
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 46 2 0 10 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 51 6 0 10 Jul 2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels Malte Tolle Fernando Navarro Sebastian Eble Ivo Wolf Bjoern H. Menze Sandy Engelhardt FedML 45 1 0 10 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 42 1 0 08 Jul 2024
On the power of data augmentation for head pose estimation Michael Welter CVBM 31 1 0 07 Jul 2024
Semi-Supervised Segmentation via Embedding Matching Weiyi Xie Nathalie Willems Nikolas Lessmann Tom Gibbons D. Massari 39 0 0 05 Jul 2024
Relative Difficulty Distillation for Semantic Segmentation Dong Liang Yue Sun Yun Du Songcan Chen Sheng-Jun Huang 31 3 0 04 Jul 2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 37 0 0 02 Jul 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection A. Hung Haoxin Zheng Kai Zhao Kaifeng Pang D. Terzopoulos Kyunghyun Sung EDL MedIm 48 1 0 01 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 37 0 0 01 Jul 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization D. Wu Nikki Lijing Kuang Ruijia Niu Yi Ma Rose Yu 47 1 0 30 Jun 2024
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation Guanghao Zhu Jing Zhang Juanxiu Liu Xiaohui Du Ruqian Hao Yong Liu Lin Liu 34 0 0 28 Jun 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 57 1 0 27 Jun 2024
Conformalized Link Prediction on Graph Neural Networks Tianyi Zhao Jian Kang Lu Cheng 39 7 0 26 Jun 2024
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection Meiying Zhang Weiyuan Peng Guangyao Ding Chenyang Lei Chunlin Ji Qi Hao OOD 3DPC 44 1 0 26 Jun 2024
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning Arnaud Judge Thierry Judge Nicolas Duchateau Roman A. Sandler Joseph Z. Sokol Olivier Bernard Pierre-Marc Jodoin OOD 37 0 0 25 Jun 2024
Conditional Bayesian Quadrature Zonghao Chen Masha Naslidnyk Arthur Gretton F. Briol TPM 45 3 0 24 Jun 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation Junkai Zhang Weitong Zhang Dongruo Zhou Q. Gu 57 3 0 24 Jun 2024
Bayesian neural networks for predicting uncertainty in full-field material response G. Pasparakis Lori Graham-Brady Michael D. Shields AI4CE 45 4 0 21 Jun 2024
VeriFlow: Modeling Distributions for Neural Network Verification Faried Abu Zaid Daniel Neider Mustafa Yalçıner 99 0 0 20 Jun 2024
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification Zehui Liao Shishuai Hu Yong-quan Xia 43 0 0 18 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 70 1 0 17 Jun 2024
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction Huiqun Huang Sihong He Fei Miao 49 0 0 17 Jun 2024
Understanding active learning of molecular docking and its applications Jeonghyeon Kim Juno Nam Seongok Ryu 37 0 0 14 Jun 2024
Self-Knowledge Distillation for Learning Ambiguity Hancheol Park Soyeong Jeong Sukmin Cho Jong C. Park 34 0 0 14 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 46 0 0 13 Jun 2024
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young Porter Jenkins Lonchao Da Jeff Dotson Hua Wei UQCV BDL 49 2 0 13 Jun 2024
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection Junfei Yi Jianxu Mao Tengfei Liu Mingjie Li Hanyu Gu Hui Zhang Xiaojun Chang Yaonan Wang 34 2 0 11 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models A. Altieri Marco Romanelli Georg Pichler F. Alberge Pablo Piantanida 49 0 0 11 Jun 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving Daniel Bogdoll Noël Ollick Tim Joseph J. Marius Zöllner 37 1 0 10 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization Zongbin Wang Bin Pan Zhenwei Shi OOD 45 0 0 09 Jun 2024
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation Ziyu Wang Chris Holmes UQLM 53 5 0 07 Jun 2024
Concept Drift Detection using Ensemble of Integrally Private Models Ayush K. Varshney V. Torra 33 4 0 07 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 46 1 0 06 Jun 2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models Lucas Berry Axel Brando D. Meger 32 6 0 05 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs Shuang Ao Stefan Rueger Advaith Siddharthan 33 1 0 05 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 30 0 0 05 Jun 2024