learning rate scheduling

A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint) AAAI 2026 Locally Optimal Descent for Dynamic Stepsize Scheduling AISTATS 2025 Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025 Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection SemEval 2025 A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024 Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning ACL 2023 Learning to Schedule Learning rate with Graph Neural Networks ICLR 2022 Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NeurIPS 2011