Title
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 40 27 0 04 Feb 2024
Benchmarking LLMs via Uncertainty Quantification Fanghua Ye Mingming Yang Jianhui Pang Longyue Wang Derek F. Wong Emine Yilmaz Shuming Shi Zhaopeng Tu ELM 15 47 0 23 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 36 3 0 14 Jan 2024
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks Soyed Tuhin Ahmed Michael Hefenbrock G. Prenat L. Anghel M. Tahoori 19 0 0 09 Jan 2024
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification Shuge Lei Haonan Hu Desheng Sun Huabin Zhang Kehong Yuan Jian Dai Jijun Tang Yan Tong 35 0 0 08 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction Zachary Schwehr Sriman Achanta 32 2 0 31 Dec 2023
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles Yuanzhao Zhai Han Zhang Yu Lei Yue Yu Kele Xu Dawei Feng Bo Ding Huaimin Wang AI4CE 75 32 0 30 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 20 4 0 23 Dec 2023
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis Yafei Hu Quanting Xie Vidhi Jain Jonathan M Francis Jay Patrikar ... Xiaolong Wang Sebastian A. Scherer Z. Kira Fei Xia Yonatan Bisk LM&Ro AI4CE 37 63 0 14 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 49 0 0 11 Dec 2023
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 42 4 0 08 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 34 10 0 08 Dec 2023
Data-Centric Digital Agriculture: A Perspective R. Roscher Lukas Roth C. Stachniss Achim Walter 15 2 0 06 Dec 2023
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot Nima Rahmanian Michael Gupta Renzo Soatto Srisai Nachuri Michael Psenka Yi Ma S. Shankar Sastry 11 0 0 05 Dec 2023
Target-agnostic Source-free Domain Adaptation for Regression Tasks Tianlang He Zhiqiu Xia Jierun Chen Haoliang Li S.-H. Gary Chan 38 4 0 01 Dec 2023
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms Uddeshya Upadhyay S. Bade Arjun Puranik S. Asfahan Melwin Babu ... S. Asirvatham Ashim Prasad A. Rajasekharan S. Awasthi R. Barve OOD 23 3 0 23 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry C. Rebello Johannes Jäschkea Idelfonso B. R. Nogueira AI4CE 19 0 0 21 Nov 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 34 13 0 19 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification Yichi Zhang Shiyao Hu Sijie Ren Chen Jiang Yuan Cheng Yuan Qi MedIm 20 3 0 17 Nov 2023
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification L. J. L. Lopez Tim G. J. Rudner Karan Singhal 42 3 0 17 Nov 2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation N. Molchanova Vatsal Raina A. Malinin Francesco La Rosa A. Depeursinge Mark J. F. Gales C. Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 36 4 0 15 Nov 2023
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty Katharina Hechinger Christoph Koller Xiao Xiang Zhu Goran Kauermann UQCV 33 1 0 15 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 32 4 0 11 Nov 2023
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy Xiaoyi Cai Siddharth Ancha Lakshay Sharma Philip R. Osteen Bernadette Bucher Stephen Phillips Jiuguang Wang Michael Everett Nicholas Roy Jonathan P. How EDL 24 32 0 10 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 20 8 0 05 Nov 2023
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation Zanting Ye 24 2 0 05 Nov 2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks Longze Li Jiang Chang Aleksandar Vakanski Yachun Wang Tiankai Yao Min Xian AI4CE 11 17 0 04 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities Wenchong He Zhe Jiang 24 1 0 04 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Compositional Deep Probabilistic Models of DNA Encoded Libraries Benson Chen Mohammad M. Sultan Theofanis Karaletsos 11 3 0 20 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 35 0 0 19 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 46 1 0 16 Oct 2023
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat Florian Führer Andrea Gruber Holger Diedam A. Göller Stephan Menz S. Schneckener 28 3 0 13 Oct 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 22 5 0 12 Oct 2023
Deep Learning reconstruction with uncertainty estimation for $γ$ photon interaction in fast scintillator detectors Geoffrey Daniel Mohamed Bahi Yahiaoui C. Comtat Sebastien Jan O. Kochebina Jean-Marc Martinez Viktoriya Sergeyeva Viatcheslav Sharyy Chi-Hsun Sung D. Yvon 13 1 0 10 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 38 4 0 09 Oct 2023
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty Denis Mbey Akola Gianni Franchi ObjD UQCV 30 0 0 07 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 24 0 0 02 Oct 2023
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma Christiaan G. A. Viviers Mark Ramaekers Amaan Valiuddin Terese A. E. Hellström Nick Tasios ... Lotte J. S. Ewals Joost Nederend Peter H. N. de With M. Luyer Fons van der Sommen 22 3 0 01 Oct 2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning Zhiheng Li Wenjia Geng Muheng Li Lei Chen Yansong Tang Jiwen Lu Jie Zhou 28 9 0 01 Oct 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives Romain Egele Tyler Chang Yixuan Sun V. Vishwanath Prasanna Balaprakash 44 2 0 26 Sep 2023
Disinformation Detection: An Evolving Challenge in the Age of LLMs Qinglong Cao Yuntian Chen Ayushi Nirmal Xiaokang Yang DeLMO 47 51 0 25 Sep 2023
PAGER: A Framework for Failure Analysis of Deep Regression Models Jayaraman J. Thiagarajan V. Narayanaswamy Puja Trivedi Rushil Anirudh 33 0 0 20 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 26 5 0 19 Sep 2023
Beta quantile regression for robust estimation of uncertainty in the presence of outliers H. Akrami Omar Zamzam Anand A. Joshi Sergul Aydore Richard M. Leahy OOD MedIm 18 0 0 14 Sep 2023
The kernel-balanced equation for deep neural networks Kenichi Nakazato 16 0 0 14 Sep 2023
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity Pascal Pernot 25 9 0 12 Sep 2023
Deep Learning Safety Concerns in Automated Driving Perception Stephanie Abrecht Alexander Hirsch Shervin Raafatnia Matthias Woehrle 26 12 0 07 Sep 2023