2 citations · 4 across the 10 of their papers we have counts for
4 papers · 1 filter
Balanced Online Class-Incremental Learning via Dual Classifiers
Shunjie Wen, Thomas Heinis, Dong-Wan Choi
Online class-incremental learning (OCIL) focuses on gradually learning new classes (called plasticity) from a stream of data in a single-pass, while concurrently preserving knowled…
Training-Free Restoration of Pruned Neural Networks
Keonho Lee, Minsoo Kim, Dong-Wan Choi
Although network pruning has been highly popularized to compress deep neural networks, its resulting accuracy heavily depends on a fine-tuning process that is often computationally…
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
The stability-plasticity dilemma is a major challenge in continual learning, as it involves balancing the conflicting objectives of maintaining performance on previous tasks while…
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
Hyunjune Shin, Dong-Wan Choi
Data-free knowledge distillation (DFKD) aims to distill pretrained knowledge to a student model with the help of a generator without using original data. In such data-free scenario…