Title
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery Jinghai He Cheng Hua Yingfei Wang Zeyu Zheng 29 0 0 07 May 2024
Elevator, Escalator or Neither? Classifying Pedestrian Conveyor State Using Inertial Navigation System Tianlang He Zhiqiu Xia S.-H. Gary Chan 34 0 0 06 May 2024
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction Protim Bhattacharjee Peter Jung 22 0 0 04 May 2024
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications Vegard Flovik OOD 34 1 0 03 May 2024
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement Han Wang Eiji Kawasaki Guillaume Damblin Geoffrey Daniel BDL UQCV UD 26 0 0 02 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 26 1 0 02 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 26 0 0 02 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 46 10 0 02 May 2024
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration Masanari Kimura Hiroki Naganuma 21 0 0 01 May 2024
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning Yucheng Shi Alexandros Agapitos David Lynch Giorgio Cruciata Cengis Hasan Hao Wang Yayu Yao Aleksandar Milenovic 23 0 0 01 May 2024
Autonomous Quality and Hallucination Assessment for Virtual Tissue Staining and Digital Pathology Luzhe Huang Yuzhu Li N. Pillar Tal Keidar Haran W. D. Wallace Aydogan Ozcan 40 0 0 29 Apr 2024
When to Trust LLMs: Aligning Confidence with Response Quality Shuchang Tao Liuyi Yao Hanxing Ding Yuexiang Xie Qi Cao Fei Sun Jinyang Gao Huawei Shen Bolin Ding 37 15 0 26 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 40 2 0 24 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 37 1 0 23 Apr 2024
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory Olga Cherednichenko Dmytro Chernyshov Dmytro Sytnikov Polina Sytnikova 47 0 0 18 Apr 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation Florian Heidecker A. El-khateeb Maarten Bieshaar Bernhard Sick 28 0 0 17 Apr 2024
Towards free-response paradigm: a theory on decision-making in spiking neural networks Zhichao Zhu Yang Qi Wenlian Lu Zhigang Wang Lu Cao Jianfeng Feng 27 1 0 16 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 83 26 0 15 Apr 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen Fabrice Gamboa Reda Chhaibi Sixin Zhang Serge Gratton Thierry Giaccone FedML UQCV 23 0 0 12 Apr 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm Shurui Gui Xiner Li Shuiwang Ji TTA 61 11 0 07 Apr 2024
EnQuery: Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation Jorge de Heuvel Florian Seiler Maren Bennewitz 32 2 0 07 Apr 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation Kudaibergen Abutalip Numan Saeed I. Sobirov Vincent Andrearczyk A. Depeursinge Mohammad Yaqub UQCV 35 0 0 25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 53 5 0 25 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 35 3 0 18 Mar 2024
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification Shengyao Wu Run-Ze Li Yanqi Song S. Qin Qiaoyan Wen Fei Gao 35 0 0 14 Mar 2024
Koopman Ensembles for Probabilistic Time Series Forecasting Anthony Frion Lucas Drumetz Guillaume Tochon M. Dalla Mura Albdeldjalil Aissa El Bey AI4TS 32 0 0 11 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
End-to-end Conditional Robust Optimization A. Chenreddy Erick Delage 32 9 0 07 Mar 2024
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison Wenbo Shao Jiahui Xu Zhong Cao Hong Wang Jun Li 33 3 0 04 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained neural networks Filippo Bigi Sanggyu Chong Michele Ceriotti Federico Grasselli 52 5 0 04 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 53 1 0 04 Mar 2024
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation Chenying Liu C. Albrecht Yi Wang Qingyu Li Xiao Xiang Zhu VLM 38 8 0 03 Mar 2024
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction Wenbo Shao Jiahui Xu Wenhao Yu Jun Li Hong Wang 47 1 0 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 21 0 0 29 Feb 2024
Approaching Human-Level Forecasting with Language Models Danny Halawi Fred Zhang Chen Yueh-Han Jacob Steinhardt 50 29 0 28 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 35 1 0 27 Feb 2024
Stochastic Gradient Succeeds for Bandits Jincheng Mei Zixin Zhong Bo Dai Alekh Agarwal Csaba Szepesvári Dale Schuurmans 40 1 0 27 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 42 1 0 26 Feb 2024
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties D. Schodt Ryan Brown Michael Merritt Samuel Park Delsin Menolascino M. Peot BDL UQCV UD 32 1 0 22 Feb 2024
Uncertainty-Aware Evaluation for Vision-Language Models Vasily Kostumov Bulat Nutfullin Oleg Pilipenko Eugene Ilyushin ELM 50 8 0 22 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 43 0 0 21 Feb 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods Jiaxin Zhang Kamalika Das Kumar Sricharan UQCV 35 0 0 20 Feb 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov H. Linander UQCV 36 13 0 19 Feb 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 26 8 0 16 Feb 2024
Improving Black-box Robustness with In-Context Rewriting Kyle O'Brien Nathan Ng Isha Puri Jorge Mendez Hamid Palangi Yoon Kim Marzyeh Ghassemi Tom Hartvigsen 49 6 0 13 Feb 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 38 2 0 12 Feb 2024
SAE: Single Architecture Ensemble Neural Networks Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 15 0 0 09 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen Jeonghun Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 36 2 0 09 Feb 2024
Reconfidencing LLMs from the Grouping Loss Perspective Lihu Chen Alexandre Perez-Lebel Fabian M. Suchanek Gaël Varoquaux 181 8 0 07 Feb 2024