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Search Results - "Artificial Intelligence & Machine Learning"
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A Review of Pseudo-Labeling for Computer Vision
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Rational Silence and False Polarization: How Viewpoint Organizations and Recommender Systems Distort the Expression of Public Opinion
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Improving Plan Execution Flexibility using Block-Substitution
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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TeamTTA: Efficient Multi-Device Collaboration for Open-Set Test-Time Adaptation via Cloud Integration
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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A Review of Causal Decision Making
Published in JAIR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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EPINN: Enhanced Physics-Informed Neural Network for Solving Continuous Integral Equations
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Monitoring Teams of AI Agents
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Finding Minimal Plan Reductions Using Classical Planning
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Regret Analysis for Randomized Gaussian Process Upper Confidence Bound
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Towards an Ontology-Driven Approach to Document Bias
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Prioritised Planning: Completeness, Optimality, and Complexity
Published in JAIR (2025)Subjects: “…Artificial Intelligence & Machine Learning…”
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Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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Towards Unified Native Spaces in Kernel Methods
Published in JMLR (2026)Subjects: “…Artificial Intelligence & Machine Learning…”
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