Rahaf Aljundi

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning

2023 · arXiv (Cornell University)

In Continual learning (CL) balancing effective adaptation while combating catastrophic forgetting is a central challenge. Many of the recent best-performing methods utilize various forms of prior task data, e.g. a replay buffer, to tackle the …

New Insights on Reducing Abrupt Representation Change in Online Continual Learning

2022 · arXiv (Cornell University)

In the online continual learning paradigm, agents must learn from a changing distribution while respecting memory and compute constraints. Experience Replay (ER), where a small subset of past data is stored and replayed alongside new …

Calibrated Out-of-Distribution Detection with a Generic Representation

2023

Out-of-distribution detection is a common issue in deploying vision models in practice and solving it is an essential building block in safety critical applications. Most of the existing OOD detection solutions focus on improving the …