generalization

Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation ICML 2025 Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining ICLR 2025 Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges ICML 2025 SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025 SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures ICML 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training ICLR 2025 Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation CoRL 2025 Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry ICML 2025 Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness ICML 2025 Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks ICML 2025 Teaching Transformers Causal Reasoning through Axiomatic Training ICML 2025 The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models ICML 2025 Theoretical Limitations of Ensembles in the Age of Overparameterization ICML 2025 The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret ICML 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging ICML 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies ICLR 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 Unnatural Languages Are Not Bugs but Features for LLMs ICML 2025 Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors ICML 2025 What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? ICML 2025 What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models ICML 2025 What Makes Freezing Layers in Deep Neural Networks Effective? A Linear Separability Perspective AutoML 2025 When can in-context learning generalize out of task distribution? ICML 2025 When, Where and Why to Average Weights? ICML 2025