Poster "continual learning" Papers
85 papers found • Page 2 of 2
Conference
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang, caigao jiang, Zhaoyi Li et al.
Vision and Language Synergy for Rehearsal Free Continual Learning
Muhammad Anwar Masum, Mahardhika Pratama, Savitha Ramasamy et al.
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
JING WANG, Wonho Bae, Jiahong Chen et al.
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin, Jiaxiang Chen, Ruomin Huang et al.
Anytime Continual Learning for Open Vocabulary Classification
Zhen Zhu, Yiming Gong, Derek Hoiem
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.
Bayesian Adaptation of Network Depth and Width for Continual Learning
Jeevan Thapa, Rui Li
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
XINYUAN GAO, Songlin Dong, Yuhang He et al.
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou, Zhongyun Hua
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
Benjamin J Biggs, Arjun Seshadri, Yang Zou et al.
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
Zeyang Zhang, Xin Wang, Yijian Qin et al.
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham, The-Anh Ta, Anh Tran et al.
Interactive Continual Learning: Fast and Slow Thinking
Biqing Qi, Xinquan Chen, Junqi Gao et al.
Learning in Deep Factor Graphs with Gaussian Belief Propagation
Seth Nabarro, Mark van der Wilk, Andrew Davison
Learning to Continually Learn with the Bayesian Principle
Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Kanglei Zhou, Liyuan Wang, Xingxing Zhang et al.
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
Yichen WU, Hong Wang, Peilin Zhao et al.
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim, Susik Yoon, Dongmin Park et al.
On the Diminishing Returns of Width for Continual Learning
Etash Guha, Vihan Lakshman
Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang et al.
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg, Joseph K J, Vineeth N Balasubramanian et al.
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla et al.
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Haoran Chen, Zuxuan Wu, Xintong Han et al.
Provable Contrastive Continual Learning
Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
Raymond L Wang, Jaedong Hwang, Akhilan Boopathy et al.
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models
Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
Xinjie Yao, Yu Wang, Pengfei Zhu et al.
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
Yusong Hu, De Cheng, Dingwen Zhang et al.
Towards Backward-Compatible Continual Learning of Image Compression
Zhihao Duan, Ming Lu, Justin Yang et al.
Understanding Forgetting in Continual Learning with Linear Regression
Meng Ding, Kaiyi Ji, Di Wang et al.
What How and When Should Object Detectors Update in Continually Changing Test Domains?
Jayeon Yoo, Dongkwan Lee, Inseop Chung et al.