Latest papers

CardsList

17 papers2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. MuPACE: Learning to Pace Muon for LoRA Fine-Tuning

    Oct 20, 2026Jan Kobiolka, Christian Frey, Josif GrabockaLearning Rate SchedulingAdaptive Learning Rate

  2. SOLAR: A State-Driven Online Learning Rate Scheduler for LLM Pretraining

    Sep 28, 2026Qiulin Shang, Binyu Wang, Yongqi Qiao +3Language Model PretrainingLearning Rate Scheduling

  3. One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning

    Sep 5, 2026Huiyi Wang, Daijiao Liu, Lina Yao +1LLM Fine-TuningLow-Rank Adaptation

  4. LionVote: Per-Layer Learning Rate Adaptation for Lion

    Jul 10, 2026Kris AtallahDeep Learning OptimizationLayer-Wise Learning Rate Adaptation

  5. ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction

    Jul 6, 2026Xinze Li, Yiyuan Wang, Pengxu Chen +4Streaming 3D Reconstruction3D Scene Representation

  6. Alternate loss functions and regression models that achieve robustness to outliers by modulating the learning rate

    Jun 20, 2026Mathew Mithra Noel, Arindam Banerjee, Yug D. Oswal +2Robust RegressionRobust Loss Functions

  7. Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader

    Jun 4, 2026Jongyeong Lee, Junya Honda, Shinji Ito +1Multi-Armed BanditsFollow-the-Perturbed-Leader

  8. Physics-Guided Policy Optimization with Self-Distillation

    Jun 2, 2026Ke Wang, Yuning Wu, Haoran Liu +3On-Policy Self-DistillationPolicy Optimization

  9. Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler

    Jun 1, 2026Dimitris Oikonomou, Nicolas LoizouSharpness-Aware MinimizationLearning Rate Scheduling

  10. Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates

    May 19, 2026Parjanya Prajakta Prashant, Jiongli Zhu, Aldan Creo +1Learning Rate SchedulingLLM Fine-Tuning

  11. Learning Rate Engineering: From Coarse Single Parameter to Layered Evolution

    Apr 30, 2026Ming-Hong Yao, Di Wang, Jian Cui +5Deep Learning OptimizationFine-Tuning

  12. MetaDAT: Generalizable Trajectory Prediction via Meta Pre-training and Data-Adaptive Test-Time Updating

    Mar 10, 2026Yuning Wang, Pu Zhang, Yuan He +2Adaptive Learning RateTrajectory Prediction

  13. Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift

    Mar 1, 2026Heewon Park, Mugon Joe, Miru Kim +2Adaptive Learning RateFederated Learning

  14. Why Do We Need Warm-up? A Theoretical Perspective

    Oct 3, 2025Foivos Alimisis, Rustem Islamov, Aurelien LucchiDeep Learning OptimizationLearning Rate Scheduling

  15. Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses

    Jun 20, 2024Steffen Dereich, Arnulf Jentzen, Adrian RiekertAdaptive Learning RateStochastic Optimization Convergence

  16. Chaos persists in large-scale multi-agent learning despite adaptive learning rates

    Jun 1, 2023Emmanouil-Vasileios Vlatakis-Gkaragkounis, Konstantinos Metaxas, Lampros Flokas +1Adaptive Learning RateCongestion Games