Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Machine Learning — 25 papers
• Computer Vision and Pattern Recognition — 16 papers
• Artificial Intelligence — 9 papers
• Artificial Intelligence in Games — 4 papers
• Multimodal Machine Learning Applications — 2 papers
• Computation and Language — 1 papers
• Reinforcement Learning in Robotics — 1 papers
• Information Retrieval — 1 papers
• Anomaly Detection Techniques and Applications — 1 papers
• AI-based Problem Solving and Planning — 1 papers

Highest-Cited Papers

1. Dual-Axis Policy Optimization for LLM Agents: Bayesian Feedback Attribution and Trajectory Mass Normalization
2. Debiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling
3. AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
4. Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
5. Specifying Reward Functions for RL Without Environment Sampling
6. Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
7. Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
8. Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling
9. A note on goal-based hierarchical RL
10. A Unified and Constrained View of Regularization-Based Robust Reinforcement Learning
11. Cantelli Constrained Policy Optimization
12. Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
13. Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems
14. Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning
15. Let ViT Speak: Generative Language-Image Pre-training
16. Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
17. Towards Characterizing Scientific Image Utility and Upgradability
18. Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations
19. Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives
20. Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning