{"total":52,"rows":[{"id":"2410.00847","title":"Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown","created":"2024-10-01","cited_by_count":74,"area":"alignment"},{"id":"2105.01984","title":"Software Engineering for AI-Based Systems: A Survey","created":"2021-05-05","cited_by_count":69,"area":null},{"id":"2203.06102","title":"Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation","created":"2022-03-11","cited_by_count":66,"area":null},{"id":"2101.02032","title":"Socially Responsible AI Algorithms: Issues, Purposes, and Challenges","created":"2021-01-01","cited_by_count":56,"area":null},{"id":"2307.10236","title":"Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models","created":"2023-07-16","cited_by_count":41,"area":null},{"id":"2306.09586","title":"Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?","created":"2023-06-16","cited_by_count":40,"area":null},{"id":"2312.00995","title":"Second-Order Uncertainty Quantification: A Distance-Based Approach","created":"2023-12-02","cited_by_count":35,"area":null},{"id":"2210.05938","title":"Robust Models are less Over-Confident","created":"2022-10-12","cited_by_count":25,"area":null},{"id":"2107.01830","title":"ARM-Net: Adaptive Relation Modeling Network for Structured Data","created":"2021-07-05","cited_by_count":24,"area":null},{"id":"2406.02354","title":"Label-wise Aleatoric and Epistemic Uncertainty Quantification","created":"2024-06-04","cited_by_count":22,"area":null},{"id":"2401.00276","title":"Second-Order Uncertainty Quantification: Variance-Based Measures","created":"2023-12-30","cited_by_count":19,"area":null},{"id":"2304.00416","title":"Towards Healthy AI: Large Language Models Need Therapists Too","created":"2023-04-02","cited_by_count":13,"area":null},{"id":"2502.00837","title":"Explainability in Practice: A Survey of Explainable NLP Across Various Domains","created":"2025-02-02","cited_by_count":11,"area":null},{"id":"2203.02205","title":"Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures","created":"2022-03-04","cited_by_count":8,"area":null},{"id":"2304.03674","title":"Machine Learning with Requirements: a Manifesto","created":"2023-04-07","cited_by_count":8,"area":null},{"id":"2308.02435","title":"Designing Fiduciary Artificial Intelligence","created":"2023-07-27","cited_by_count":8,"area":null},{"id":"2512.05526","title":"Credal and Interval Deep Evidential Classifications","created":"2025-12-05","cited_by_count":8,"area":null},{"id":"2207.09336","title":"Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance","created":"2022-07-19","cited_by_count":7,"area":null},{"id":"2211.01498","title":"On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach","created":"2022-11-02","cited_by_count":7,"area":null},{"id":"2211.16466","title":"Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation","created":"2022-11-29","cited_by_count":7,"area":null},{"id":"2211.02730","title":"Uncertainty-aware predictive modeling for fair data-driven decisions","created":"2022-11-04","cited_by_count":6,"area":null},{"id":"2211.07814","title":"Extending the Neural Additive Model for Survival Analysis with EHR Data","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2207.12497","title":"Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors","created":"2022-07-25","cited_by_count":5,"area":null},{"id":"2104.10715","title":"Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings","created":"2021-04-21","cited_by_count":4,"area":null},{"id":"2106.11036","title":"Know Your Model (KYM): Increasing Trust in AI and Machine Learning","created":"2021-05-31","cited_by_count":4,"area":null},{"id":"2302.09750","title":"Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems","created":"2023-02-20","cited_by_count":4,"area":null},{"id":"2407.03830","title":"DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification","created":"2024-07-04","cited_by_count":4,"area":null},{"id":"2302.11012","title":"Likelihood Annealing: Fast Calibrated Uncertainty for Regression","created":"2023-02-21","cited_by_count":3,"area":null},{"id":"2402.00592","title":"Partial-Label Learning with a Reject Option","created":"2024-02-01","cited_by_count":3,"area":null},{"id":"2412.06869","title":"Safety Monitoring of Machine Learning Perception Functions: a Survey","created":"2024-12-09","cited_by_count":3,"area":null},{"id":"2412.13053","title":"SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks","created":"2024-12-17","cited_by_count":3,"area":"deeprl"},{"id":"2507.08793","title":"Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning","created":"2025-07-11","cited_by_count":3,"area":"deeprl"},{"id":"2106.04684","title":"Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching","created":"2021-06-08","cited_by_count":2,"area":null},{"id":"2402.09881","title":"Explaining Kernel Clustering via Decision Trees","created":"2024-02-15","cited_by_count":2,"area":null},{"id":"2103.09726","title":"Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages","created":"2021-03-17","cited_by_count":1,"area":"driving"},{"id":"2104.01742","title":"Explainability-aided Domain Generalization for Image Classification","created":"2021-04-05","cited_by_count":1,"area":null},{"id":"2106.03702","title":"Can a single neuron learn predictive uncertainty?","created":"2021-06-07","cited_by_count":1,"area":null},{"id":"2303.17915","title":"Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus","created":"2023-03-31","cited_by_count":1,"area":null},{"id":"2402.00347","title":"Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical Sciences","created":"2024-02-01","cited_by_count":1,"area":null},{"id":"2505.14727","title":"The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents","created":"2025-05-20","cited_by_count":1,"area":"agents"},{"id":"2207.08501","title":"Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm","created":"2022-07-18","cited_by_count":0,"area":null},{"id":"2210.10780","title":"An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2302.04528","title":"Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations","created":"2023-02-09","cited_by_count":0,"area":null},{"id":"2306.12344","title":"An efficient, provably optimal algorithm for the 0-1 loss linear classification problem","created":"2023-06-21","cited_by_count":0,"area":null},{"id":"2408.17098","title":"UTrack: Multi-Object Tracking with Uncertain Detections","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2411.01956","title":"EXAGREE: Mitigating Explanation Disagreement with Stakeholder-Aligned Models","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2507.08908","title":"The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2507.13115","title":"A Computational Framework to Identify Self-Aspects in Text","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2508.04233","title":"DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2512.20723","title":"From artificial to organic: Rethinking the roots of intelligence for digital health","created":"2025-12-23","cited_by_count":0,"area":null},{"id":"2601.06061","title":"AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations","created":"2025-12-23","cited_by_count":0,"area":null},{"id":"2602.07581","title":"$\\partial$CBDs: Differentiable Causal Block Diagrams","created":"2026-02-07","cited_by_count":0,"area":null}],"next_cursor":null}