SOTAVerified

Decision Making

Papers

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Showing 6301–6350 of 12311 papers

TitleStatusHype
Learning Human-Compatible Representations for Case-Based Decision SupportCode0
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model DesignCode0
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?—0
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning—0
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach—0
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry—0
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
Affordable Artificial Intelligence -- Augmenting Farmer Knowledge with AI—0
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach—0
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley ValuesCode0
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
Travel Demand Forecasting: A Fair AI Approach—0
On the Use of Safety Critical Control for Cyber-Physical Security in the Smart Grid—0
Quality of service based radar resource management for synchronisation problems—0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning—0
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML—0
Improved Inner Approximation for Aggregating Power Flexibility in Active Distribution Networks and its Applications—0
An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition—0
Spectral learning of Bernoulli linear dynamical systems modelsCode0
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks—0
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision—0
Compensating for Sensing Failures via Delegation in Human-AI Hybrid Systems—0
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning—0
Deconstructing deep active inference—0
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT—0
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations—0
Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images—0
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards—0
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging—0
A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone—0
Tuning to non-veridical features in attention and perceptual decision-making—0
Human-Inspired Framework to Accelerate Reinforcement LearningCode0
Estimation of continuous environments by robot swarms: Correlated networks and decision-makingCode0
Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation—0
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition—0
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance—0
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting—0
CrystalBox: Future-Based Explanations for Input-Driven Deep RL SystemsCode0
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models—0
Q-Cogni: An Integrated Causal Reinforcement Learning Framework—0
Learning Pairwise Interaction for Generalizable DeepFake DetectionCode0
Revolutionizing Genomics with Reinforcement Learning Techniques—0
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPsCode0
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support—0
Calibrated Regression Against An Adversary Without Regret—0
Concept Learning for Interpretable Multi-Agent Reinforcement Learning—0
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends—0
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified