gradient similarity
A measure of how similar gradients are across different instances or layers in neural networks, influencing convergence and learning dynamics.
- A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
- A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
- A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
- Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning