Generalization

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks JMLR 2026 Bridging Domain Expertise and Generalization for Performance Estimation CVPR 2026 Consensus vs. Controversy: Mapping the Decision Space Where Architectures Diverge CVPR 2026 Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026 Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them CVPR 2026 Generative Modeling of Weights: Generalization or Memorization? CVPR 2026 Grokked Models are Better Unlearners UAI 2026 High-Dimensional Analysis of Gradient Flow for Extensive-Width Quadratic Neural Networks JMLR 2026 Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance CVPR 2026 Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings CVPR 2026 Learning by Analogy: A Causal Framework for Compositional Generalization CVPR 2026 Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning ACL 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Optimal Approximation and Generalization Errors for Deep Convolutional Neural Networks JMLR 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 Reframing Long-Tailed Learning via Loss Landscape Geometry CVPR 2026 Scaling View Synthesis Transformers CVPR 2026 Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation CVPR 2026 Smoothing the Score Function to Enhance Generalization in Diffusion Models CVPR 2026 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG ACL 2026 Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective JMLR 2026 TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code Detection SemEval 2026 TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization CVPR 2026 Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training CVPR 2026