Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning

12 March 2024

Papers citing "Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning"

7 / 7 papers shown

Title
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web Ameya Prabhu Hasan Hammoud Ser-Nam Lim Bernard Ghanem Philip H. S. Torr Adel Bibi CLL 127 9 0 19 Nov 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning Haiwei Wu Jiantao Zhou Shile Zhang 115 27 0 23 May 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard E. Turner CLL 100 42 0 23 Mar 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 146 638 0 26 May 2022
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 71 279 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021