Latest Research in Conformal Predictive Learning

Top Research Topics in Conformal Predictive Learning

• Machine Learning — 120 papers
• Machine Learning — 27 papers
• Artificial Intelligence — 13 papers
• Methodology — 12 papers
• Generative Adversarial Networks and Image Synthesis — 8 papers
• Machine Learning and Data Classification — 5 papers
• Advanced Graph Neural Networks — 5 papers
• Explainable Artificial Intelligence (XAI) — 5 papers
• Imbalanced Data Classification Techniques — 5 papers
• Machine Learning in Materials Science — 4 papers

Highest-Cited Papers

1. Conformal prediction for multi-label learning: a review of methods and guarantees (1 citations)
2. FuzzPrismEdge: dynamic resource allocation in edge AI via context-aware fuzzy gating
3. Burnside Orbit Histogram Network (BOHN) and Symmetry-Breaking BOHN (SBOHN): From Group Orbits to Symmetry-Breaking Observables in Machine Learning Complete Documentation with Source Codes and Experimental Results
4. Burnside Orbit Histogram Network (BOHN) and Symmetry-Breaking BOHN (SBOHN): From Group Orbits to Symmetry-Breaking Observables in Machine Learning Complete Documentation with Source Codes and Experimental Results
5. Mixed-integer linear optimization for semi-supervised optimal classification trees
6. Survey on Decision Tree Algorithms for Classification
7. Survey on Decision Tree Algorithms for Classification
8. Extract, Audit, Certify: A Unified Pipeline for Finding and Proving What Small Recurrent Networks Compute
9. Extract, Audit, Certify: A Unified Pipeline for Finding and Proving What Small Recurrent Networks Compute
10. ModNet-Flat: A Self-Growing Layer-Free Recurrent Network for Universal Computation An evolutionary framework that discovers structure from first principles
11. Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries
12. Recursive Projection Dynamics of Neural Representations: Geometry, Dimensionality, and Task Information
13. A Prior-Guided Structure-Aware Multi-Objective Differential Evolution Method for High-Dimensional Feature Selection
14. Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries
15. Recursive Projection Dynamics of Neural Representations: Geometry, Dimensionality, and Task Information
16. ModNet-Flat: A Self-Growing Layer-Free Recurrent Network for Universal Computation An evolutionary framework that discovers structure from first principles
17. Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections
18. Building a Neural Network from Scratch: Implementation, Evaluation, and Optimization
19. Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory
20. Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation

Sub-Regions

• Generative Adversarial Networks and Image Synthesis — 100 papers
• Methodology — 98 papers
• Computer Vision and Pattern Recognition — 77 papers
• Hardware Architecture — 63 papers
• Machine Learning — 55 papers
• Explainable Artificial Intelligence (XAI) — 37 papers