What Must Replay Preserve? Separating Correctable Bias from Class Correspondence
cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Sources
- Dark Experience for General Continual Learning: a Strong, Simple Baseline
- New Insights on Reducing Abrupt Representation Change in Online Continual Learning
- On Tiny Episodic Memories in Continual Learning
- Distilling the Knowledge in a Neural Network
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks