Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Machine Learning — 37 papers
• Computer Vision and Pattern Recognition — 5 papers
• Explainable Artificial Intelligence (XAI) — 3 papers
• Advanced Neural Network Applications — 3 papers
• Stochastic Gradient Optimization Techniques — 3 papers
• Neural and Evolutionary Computing — 3 papers
• Parallel Computing and Optimization Techniques — 3 papers
• Advanced Data Compression Techniques — 3 papers
• Artificial Intelligence — 2 papers
• Machine Learning and Data Classification — 2 papers

Highest-Cited Papers

1. Does Recursive Model Succession Change Decision Reproducibility by a Simple Rule? A Pre-Specified 600-Cell Lineage Study
2. Attributing Preprocessing Invariance in Spectral Foundation Models
3. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation
4. Why $β_1 = β_2$ Is Dynamically Special in Adam
5. Unified Response Geometry for Structured Pruning
6. Dissociating performance from compositional feature learning
7. An Overview of Rate-Distortion-Perception Theory
8. A Question Worth Answering: What Would a Neural Network Preserve?
9. Multi-Agent Reinforcement Learning in Markets with Congestion
10. ZAPS: Zero-Cost Active Proxy Search for Neural Architecture Search
11. UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures
12. WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
13. Systematic review of training-free neural architecture search: research progress, core challenges, and future directions
14. RiPPLE: Cross-Space Performance Prediction from Early Training for Neural Architecture Search
15. Algebraic Geometric Empirical Process (AGEP) Theory of Self-Attention Dynamics: From Reduced to Non-Reduced Schemes (v3.11 Unabridged Final Package)
16. Algebraic Geometric Empirical Process (AGEP) Theory of Self-Attention Dynamics: From Reduced to Non-Reduced Schemes (v3.11 Unabridged Final Package)
17. Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
18. CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
19. ExpTest: Loss-Curve Hypothesis Testing for Autonomous Learning-Rate Selection in Deep Neural Networks
20. Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution