One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

18 November 2023

Papers citing "One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning"

6 / 6 papers shown

Title
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 48 1 0 01 Oct 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Adaptive Shortcut Debiasing for Online Continual Learning Doyoung Kim Dongmin Park Yooju Shin Jihwan Bang Hwanjun Song Jae-Gil Lee CLL 59 2 0 14 Dec 2023
Is Class-Incremental Enough for Continual Learning? Andrea Cossu G. Graffieti Lorenzo Pellegrini Davide Maltoni D. Bacciu Antonio Carta Vincenzo Lomonaco CLL 45 30 0 06 Dec 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 222 239 1 10 Sep 2021