Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

11 October 2023

Hang Su

Jun Zhu

CLL

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Papers citing "Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality"

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Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning Kunlun Xu Xu Zou Gang Hua Jiahuan Zhou CLL 80 0 0 07 May 2025
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
Leveraging LLM For Synchronizing Information Across Multilingual Tables Siddharth Khincha Tushar Kataria Ankita Anand Dan Roth Vivek Gupta 54 0 0 03 Apr 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 185 0 0 23 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping Guannan Lai Yujie Li Xiangkun Wang Jingyang Zhang Tianrui Li Xin Yang CLL 47 0 0 27 Feb 2025
Generate to Discriminate: Expert Routing for Continual Learning Yewon Byun Sanket Vaibhav Mehta Saurabh Garg Emma Strubell Michael Oberst Bryan Wilder Zachary Chase Lipton 78 0 0 31 Dec 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 40 0 0 04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting Yanyi Zhang Binglin Qiu Qi Jia Yu Liu Ran He CLL 40 0 0 04 Nov 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 30 0 0 08 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models Xiang Li Pin-Yu Chen Wenqi Wei 39 3 0 06 Oct 2024
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 46 1 0 01 Oct 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective Jingren Liu Zhong Ji Yunlong Yu Jiale Cao Yanwei Pang Jungong Han X. Li CLL 42 3 0 24 Jul 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang CLL VLM 56 0 0 18 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 47 5 0 07 Jul 2024
Towards a General Framework for Continual Learning with Pre-training Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 29 3 0 21 Oct 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 103 42 0 23 Mar 2023
PromptFusion: Decoupling Stability and Plasticity for Continual Learning Haoran Chen Zuxuan Wu Xintong Han Menglin Jia Yu-Gang Jiang CLL 114 12 0 13 Mar 2023
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 66 111 0 13 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 332 5,785 0 29 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 53 28 0 25 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 687 0 22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020