DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

17 August 2022

Papers citing "DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning"

5 / 5 papers shown

Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer Zhenrong Liu J. Huttunen M. Honkala CLL 49 0 0 13 May 2025
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 38 4 0 13 Jul 2024
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 28 7 0 12 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 37 5 0 02 Feb 2023
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014