Rod Flow Model for Adam Optimizer at Stability Edge
Explore the rod flow model for Adam optimizer, revealing insights into adaptive gradient methods at the edge of stability for better ML training.
Federated Learning Boosts Pediatric Organ Segmentation Accuracy
Discover how multi-center federated learning improves organs-at-risk segmentation for pediatric abdominal radiotherapy, overcoming data scarcity challenges...
Calibrated Reward Prediction with Conditional Optimal Transport
Enhance Process Reward Models using conditional optimal transport for accurate, calibrated future reward predictions and improved AI reliability.
VITA-QinYu: Advanced Expressive Spoken Language Model
Discover VITA-QinYu, an open-source expressive spoken language model excelling in role-playing and singing for lifelike AI interactions.
Optimizing Adam for Streaming Reinforcement Learning
Explore how revisiting Adam optimizer enhances streaming reinforcement learning with DQN, C51, and Adaptive Q(λ) for stable, efficient AI training.