{"total":133,"rows":[{"id":"2106.14806","title":"Laplace Redux -- Effortless Bayesian Deep Learning","created":"2021-06-28","cited_by_count":365,"area":null},{"id":"2204.09308","title":"A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement","created":"2022-04-20","cited_by_count":87,"area":null},{"id":"2110.04593","title":"Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning","created":"2021-10-09","cited_by_count":72,"area":null},{"id":"2210.03310","title":"Scaling Forward Gradient With Local Losses","created":"2022-10-07","cited_by_count":65,"area":null},{"id":"2402.17641","title":"Variational Learning is Effective for Large Deep Networks","created":"2024-02-27","cited_by_count":65,"area":null},{"id":"2211.06291","title":"Do Bayesian Neural Networks Need To Be Fully Stochastic?","created":"2022-11-11","cited_by_count":63,"area":null},{"id":"2406.11675","title":"BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models","created":"2024-06-17","cited_by_count":50,"area":null},{"id":"2211.12717","title":"Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks","created":"2022-11-23","cited_by_count":49,"area":null},{"id":"2210.06391","title":"What Makes Graph Neural Networks Miscalibrated?","created":"2022-10-12","cited_by_count":40,"area":null},{"id":"2210.12642","title":"Accelerated Linearized Laplace Approximation for Bayesian Deep Learning","created":"2022-10-23","cited_by_count":28,"area":null},{"id":"2401.05043","title":"CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks","created":"2024-01-10","cited_by_count":26,"area":null},{"id":"2206.15407","title":"Shifts 2.0: Extending The Dataset of Real Distributional Shifts","created":"2022-06-30","cited_by_count":24,"area":null},{"id":"2103.10919","title":"Robustness via Cross-Domain Ensembles","created":"2021-03-19","cited_by_count":23,"area":null},{"id":"2107.07114","title":"Uncertainty-Aware Reliable Text Classification","created":"2021-07-15","cited_by_count":23,"area":null},{"id":"2312.05320","title":"Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models","created":"2023-12-08","cited_by_count":23,"area":"diffusion"},{"id":"2307.09520","title":"Adversarial Bayesian Augmentation for Single-Source Domain Generalization","created":"2023-07-18","cited_by_count":22,"area":null},{"id":"2206.06417","title":"Image-based Treatment Effect Heterogeneity","created":"2022-06-13","cited_by_count":20,"area":null},{"id":"2306.12306","title":"Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift","created":"2023-06-21","cited_by_count":20,"area":null},{"id":"2405.14039","title":"Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning","created":"2024-05-22","cited_by_count":18,"area":"lr"},{"id":"2106.10065","title":"Being a Bit Frequentist Improves Bayesian Neural Networks","created":"2021-06-18","cited_by_count":15,"area":null},{"id":"2301.01054","title":"Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise","created":"2023-01-03","cited_by_count":15,"area":null},{"id":"2105.10762","title":"AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly","created":"2021-05-22","cited_by_count":14,"area":null},{"id":"2205.10041","title":"Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks","created":"2022-05-20","cited_by_count":14,"area":null},{"id":"2302.05118","title":"Beyond In-Domain Scenarios: Robust Density-Aware Calibration","created":"2023-02-10","cited_by_count":14,"area":null},{"id":"2110.04020","title":"Pathologies in priors and inference for Bayesian transformers","created":"2021-10-08","cited_by_count":13,"area":null},{"id":"2405.15047","title":"Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2204.11833","title":"Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics","created":"2022-04-20","cited_by_count":12,"area":null},{"id":"2302.06495","title":"Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts","created":"2023-02-13","cited_by_count":12,"area":null},{"id":"2111.01867","title":"Probabilistic Deep Learning for Real-Time Large Deformation Simulations","created":"2021-11-02","cited_by_count":11,"area":null},{"id":"2201.12626","title":"Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors","created":"2022-01-29","cited_by_count":11,"area":null},{"id":"2506.21408","title":"Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference","created":"2025-06-26","cited_by_count":11,"area":null},{"id":"2305.04557","title":"Toward Adversarial Training on Contextualized Language Representation","created":"2023-05-08","cited_by_count":10,"area":null},{"id":"2312.11858","title":"SimCalib: Graph Neural Network Calibration based on Similarity between Nodes","created":"2023-12-19","cited_by_count":10,"area":null},{"id":"2405.16262","title":"Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency","created":"2024-05-25","cited_by_count":10,"area":null},{"id":"2112.02694","title":"Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning","created":"2021-12-05","cited_by_count":9,"area":null},{"id":"2206.00944","title":"Feature Space Particle Inference for Neural Network Ensembles","created":"2022-06-02","cited_by_count":9,"area":null},{"id":"2211.07725","title":"Hierarchically Structured Task-Agnostic Continual Learning","created":"2022-11-14","cited_by_count":9,"area":null},{"id":"2302.04730","title":"A Benchmark on Uncertainty Quantification for Deep Learning Prognostics","created":"2023-02-09","cited_by_count":9,"area":null},{"id":"2304.01762","title":"Incorporating Unlabelled Data into Bayesian Neural Networks","created":"2023-04-04","cited_by_count":9,"area":null},{"id":"2505.17773","title":"C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models","created":"2025-05-23","cited_by_count":9,"area":null},{"id":"2101.04879","title":"Bayesian neural networks for weak solution of PDEs with uncertainty quantification","created":"2021-01-13","cited_by_count":8,"area":null},{"id":"2110.12667","title":"Mixture-of-Variational-Experts for Continual Learning","created":"2021-10-25","cited_by_count":8,"area":null},{"id":"2503.01595","title":"STAR: Stability-Inducing Weight Perturbation for Continual Learning","created":"2025-03-03","cited_by_count":8,"area":null},{"id":"2403.05600","title":"Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2106.09223","title":"Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks","created":"2021-06-17","cited_by_count":6,"area":null},{"id":"2110.00276","title":"TyXe: Pyro-based Bayesian neural nets for Pytorch","created":"2021-10-01","cited_by_count":6,"area":null},{"id":"2112.08618","title":"A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling","created":"2021-12-16","cited_by_count":6,"area":null},{"id":"2207.13916","title":"A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions","created":"2022-07-28","cited_by_count":6,"area":null},{"id":"2501.00755","title":"An AI-powered Bayesian generative modeling approach for causal inference in observational studies","created":"2025-01-01","cited_by_count":6,"area":null},{"id":"2403.17224","title":"Uncertainty Quantification for Gradient-based Explanations in Neural Networks","created":"2024-03-25","cited_by_count":5,"area":null},{"id":"2505.02277","title":"Epistemic Wrapping for Uncertainty Quantification","created":"2025-05-04","cited_by_count":5,"area":null},{"id":"2506.14280","title":"Improving LoRA with Variational Learning","created":"2025-06-17","cited_by_count":5,"area":null},{"id":"2601.12554","title":"Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie","created":"2026-01-18","cited_by_count":5,"area":null},{"id":"2103.09027","title":"Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning","created":"2021-03-16","cited_by_count":4,"area":null},{"id":"2111.00874","title":"An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications","created":"2021-10-08","cited_by_count":4,"area":null},{"id":"2111.09808","title":"Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings","created":"2021-11-18","cited_by_count":4,"area":null},{"id":"2305.05253","title":"Attack Named Entity Recognition by Entity Boundary Interference","created":"2023-05-09","cited_by_count":4,"area":null},{"id":"2405.17164","title":"WeiPer: OOD Detection using Weight Perturbations of Class Projections","created":"2024-05-27","cited_by_count":4,"area":null},{"id":"2408.12175","title":"Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement","created":"2024-08-22","cited_by_count":4,"area":null},{"id":"2111.04207","title":"Uncertainty Quantification in Neural Differential Equations","created":"2021-11-08","cited_by_count":3,"area":null},{"id":"2112.01360","title":"Probabilistic Approach for Road-Users Detection","created":"2021-12-02","cited_by_count":3,"area":null},{"id":"2205.01222","title":"Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations","created":"2022-05-02","cited_by_count":3,"area":null},{"id":"2210.06436","title":"Deep Combinatorial Aggregation","created":"2022-10-12","cited_by_count":3,"area":null},{"id":"2211.06233","title":"Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression","created":"2022-11-11","cited_by_count":3,"area":null},{"id":"2211.16806","title":"Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection","created":"2022-11-30","cited_by_count":3,"area":null},{"id":"2212.07118","title":"Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines","created":"2022-12-14","cited_by_count":3,"area":null},{"id":"2403.09228","title":"Uncertainty Quantification for cross-subject Motor Imagery classification","created":"2024-03-14","cited_by_count":3,"area":null},{"id":"2403.15263","title":"Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2403.17212","title":"Sanity Checks for Explanation Uncertainty","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2404.14444","title":"Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network","created":"2024-04-20","cited_by_count":3,"area":null},{"id":"2406.18787","title":"Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation","created":"2024-06-26","cited_by_count":3,"area":null},{"id":"2602.19917","title":"Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning","created":"2026-02-23","cited_by_count":3,"area":"offlinerl"},{"id":"2103.08497","title":"Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise","created":"2021-03-15","cited_by_count":2,"area":null},{"id":"2202.00078","title":"A heteroencoder architecture for prediction of failure locations in porous metals using variational inference","created":"2022-01-31","cited_by_count":2,"area":null},{"id":"2202.08532","title":"Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition","created":"2022-02-17","cited_by_count":2,"area":null},{"id":"2211.06241","title":"A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation","created":"2022-11-11","cited_by_count":2,"area":null},{"id":"2301.03991","title":"Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks","created":"2023-01-09","cited_by_count":2,"area":null},{"id":"2310.10655","title":"Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2404.16496","title":"Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring","created":"2024-04-25","cited_by_count":2,"area":null},{"id":"2407.05286","title":"Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations","created":"2024-07-07","cited_by_count":2,"area":null},{"id":"2412.04177","title":"Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning","created":"2024-12-05","cited_by_count":2,"area":null},{"id":"2506.17768","title":"Log-Normal Multiplicative Dynamics for Stable Low-Precision Training of Large Networks","created":"2025-06-21","cited_by_count":2,"area":null},{"id":"2601.05355","title":"An AI-powered Bayesian Generative Modeling Approach for Arbitrary Conditional Inference","created":"2026-01-08","cited_by_count":2,"area":null},{"id":"2605.22593","title":"Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?","created":"2026-05-21","cited_by_count":2,"area":null},{"id":"2106.03762","title":"Frustratingly Easy Uncertainty Estimation for Distribution Shift","created":"2021-06-07","cited_by_count":1,"area":null},{"id":"2111.01134","title":"Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy","created":"2021-11-01","cited_by_count":1,"area":null},{"id":"2112.11865","title":"Constraining cosmological parameters from N-body simulations with Bayesian Neural Networks","created":"2021-12-22","cited_by_count":1,"area":null},{"id":"2210.06213","title":"Probabilistic Inverse Modeling: An Application in Hydrology","created":"2022-10-12","cited_by_count":1,"area":null},{"id":"2303.05331","title":"Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift","created":"2023-03-09","cited_by_count":1,"area":null},{"id":"2310.03393","title":"Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations","created":"2023-10-05","cited_by_count":1,"area":null},{"id":"2312.03213","title":"Bootstrap Your Own Variance","created":"2023-12-06","cited_by_count":1,"area":null},{"id":"2401.05531","title":"VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition","created":"2024-01-10","cited_by_count":1,"area":null},{"id":"2402.01098","title":"Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2403.02707","title":"Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation","created":"2024-03-05","cited_by_count":1,"area":"mllm"},{"id":"2409.03470","title":"Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2501.08285","title":"Can Bayesian Neural Networks Explicitly Model Input Uncertainty?","created":"2025-01-14","cited_by_count":1,"area":null},{"id":"2504.04583","title":"Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty","created":"2025-04-06","cited_by_count":1,"area":null},{"id":"2504.05677","title":"Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2105.03876","title":"Selective Probabilistic Classifier Based on Hypothesis Testing","created":"2021-05-09","cited_by_count":0,"area":null},{"id":"2106.13870","title":"Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers","created":"2021-06-25","cited_by_count":0,"area":null}],"next_cursor":"100"}