Latest Research in Statistical Learning Theory
1,422 research papers · 0.1 average citations · 2026 median publication year
Top Research Topics in Statistical Learning Theory
- Machine Learning — 411 papers
- Computer Vision and Pattern Recognition — 115 papers
- Methodology — 83 papers
- Machine Learning — 82 papers
- Artificial Intelligence — 32 papers
- Remote-Sensing Image Classification — 27 papers
- Neural and Evolutionary Computing — 26 papers
- Advanced Memory and Neural Computing — 25 papers
- Statistics Theory — 24 papers
- Advanced Graph Neural Networks — 20 papers
Highest-Cited Papers
- The Cosine Drainage Theorem: A Rank-One Proof and a Cross-Family Conjecture for Embedded Non-Regular Graphs (5 citations)
- A More Precise Elbow Method For Optimum K-means Clustering (7 citations)
- Multi-resolution enhancement for full-spectrum neural representations (2 citations)
- Residual distribution predictive systems (1 citations)
- Few-shot neuromorphic vision in a nonlinear photonic network laser (2 citations)
- Conformal prediction for multi-label learning: a review of methods and guarantees (1 citations)
- Recommendations for visual predictive checks in Bayesian workflow (1 citations)
- MOUFLON: multi-group modularity-based fairness-aware community detection (1 citations)
- A spiking neural network-in-logic architecture based on reconfigurable molybdenum disulfide dual-gate transistors with ferroelectric gating (1 citations)
- Which Backbone Picks Which Wordification? A Factorial Study of Topic-Model Families on Hyperspectral Imagery (24 citations)
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Post-hoc Interpretability of LDA on Hyperspectral Imagery: SHAP Attributions, Counterfactual Topic Flips, and LLM-judge Alignment under Token-Mass-Dispersion Asymmetry (25 citations)
- Robust image dehazing based on low-rank and sparse decomposition of the degree of polarization
- FuzzPrismEdge: dynamic resource allocation in edge AI via context-aware fuzzy gating
- Biomimetic Spiking Neural Graph Dynamics: Neuromorphic Memory Consolidation and Neurotransmitter Modulation in Autonomous Cognitive Operating Systems
- Unpaired mural-baimiao generation via gradient-frequency decoupling and structure-guided synergistic attention
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Biomimetic Spiking Neural Graph Dynamics: Neuromorphic Memory Consolidation and Neurotransmitter Modulation in Autonomous Cognitive Operating Systems
- Zulfia Laws of Statistical Estimation: Φ-Force Over Information Curvature
- Zulfia Laws of Statistical Estimation: Φ-Force Over Information Curvature
Sub-Regions
- Conformal Predictive Learning — 312 papers
- Graph Topology Learning — 277 papers
- Neuromorphic Hardware Computing — 269 papers
- Bayesian Latent Modeling — 256 papers
- Stochastic Optimization Dynamics — 192 papers
- Visual Fidelity Synthesis — 121 papers
- Latent Diffusion Restoration — 91 papers
- Hyperspectral Remote Sensing — 84 papers