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Decision Making

Papers

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Showing 8151–8200 of 12311 papers

TitleStatusHype
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence—0
Accelerating exploration and representation learning with offline pre-training—0
Accelerating Federated Edge Learning via Topology Optimization—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Accelerating process control and optimization via machine learning: A review—0
Accelerating Recursive Partition-Based Causal Structure Learning—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Accelerating Spectral Clustering under Fairness Constraints—0
Optimizing over an ensemble of neural networks—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples—0
Accountable and Explainable Methods for Complex Reasoning over Text—0
Accounting for Model Uncertainty in Algorithmic Discrimination—0
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty—0
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks—0
Accurate Congenital Heart Disease Model Generation for 3D Printing—0
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings—0
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning—0
ACEBench: Who Wins the Match Point in Tool Learning?—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks—0
Achievement and Fragility of Long-term Equitability—0
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems—0
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Achieving Instance-dependent Sample Complexity for Constrained Markov Decision Process—0
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models—0
Achieving Unanimous Consensus in Decision Making Using Multi-Agents—0
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach—0
A Circular Construction Product Ontology for End-of-Life Decision-Making—0
Lean classical-quantum hybrid neural network model for image classification—0
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma—0
A closer look at how large language models trust humans: patterns and biases—0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
A cognitive process approach to modeling gap acceptance in overtaking—0
A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data—0
A Collection of Innovations in Medical AI for patient records in 2024—0
A comment-driven evidence appraisal approach for decision-making when only uncertain evidence available—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
A Comparative Analysis on Ethical Benchmarking in Large Language Models—0
A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified