Alleviating Representational Shift for Continual Fine-tuning

22 April 2022

Papers citing "Alleviating Representational Shift for Continual Fine-tuning"

7 / 7 papers shown

Title
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning Mark D Mcdonnell Dong Gong Ehsan Abbasnejad A. Hengel VLM DiffM 77 3 0 12 Mar 2024
CLR: Channel-wise Lightweight Reprogramming for Continual Learning Yunhao Ge Yuecheng Li Shuo Ni Jiaping Zhao Ming Yang Laurent Itti CLL 25 11 0 21 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad A. Hengel VLM CLL 27 95 0 05 Jul 2023
Investigating Forgetting in Pre-Trained Representations Through Continual Learning Yun Luo Zhen Yang Xuefeng Bai Fandong Meng Jie Zhou Yue Zhang CLL KELM 12 16 0 10 May 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code M. Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 27 10 0 06 May 2023
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning Jaehoon Oh Se-Young Yun CLL 19 0 0 18 Jun 2022
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 44 58 0 20 Apr 2021