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Online Lifelong Learning (OLL) addresses the challenge of learning from continuous and non-stationary data streams.
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Automated flower classification over a large number of classes
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Learning multiple layers of features from tiny images
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Cats and dogs
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An empirical investigation of catastrophic forgeting in gradient-based neural networks
Ian J. Goodfellow, Mehdi Mirza, Xia Da, Aaron C. Courville, and Yoshua Bengio · 2014
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Food-101–mining discriminative components with random forests
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Tiny imagenet visual recognition challenge
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icarl: Incremental classifier and representation learning
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Overcoming catastrophic forgetting in neural networks
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Learning without forgetting
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Re-evaluating continual learning scenarios: A categorization and case for strong baselines
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End-to-end incremental learning
Francisco M Castro, Manuel J Marín-Jiménez, Nicolás Guil, Cordelia Schmid, and Karteek Alahari · 2018
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Learning a unified classifier incrementally via rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin · 2019
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Parameter-efficient transfer learning for nlp
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Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2019
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Experience replay for continual learning
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy Lillicrap, and Gregory Wayne · 2019
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Large scale incremental learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, and Yun Fu · 2019
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Gdumb: A simple approach that questions our progress in continual learning
Ameya Prabhu, Philip H. S. Torr, and Puneet K. Dokania · 2020
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Maintaining discrimination and fairness in class incremental learning
Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, and Shu-Tao Xia · 2020
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Podnet: Pooled outputs distillation for small-tasks incremental learning
Dytox: Transformers for continual learning with dynamic token expansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon, and Matthieu Cord · 2022
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Dualprompt: Complementary prompting for rehearsal-free continual learning
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, and Tomas Pfister · 2022
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Online continual learning on class incremental blurry task configuration with anytime inference
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, and Jonghyun Choi · 2022
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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Conditional prompt learning for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
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More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning
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Rainbow memory: Continual learning with a memory of diverse samples
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Prototype augmentation and self-supervision for incremental learning
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DER: dynamically expandable representation for class incremental learning
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Learning transferable visual models from natural language supervision
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The power of scale for parameter-efficient prompt tuning
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Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, and Gao Huang · 2022
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CLIP model is an efficient continual learner
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Deep class-incremental learning: A survey
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, and Ziwei Liu · 2023
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Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning
Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, and Gyeong-Moon Park · 2023
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Maple: Multi-modal prompt learning
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Multimodal video adapter for parameter efficient video text retrieval
Bowen Zhang, Xiaojie Jin, Weibo Gong, Kai Xu, Zhao Zhang, Peng Wang, Xiaohui Shen, and Jiashi Feng · 2023
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Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva, Luiz Pereira, Pedro Bueno, Thiago Sousa, Helena Almeida Maia, Nádia Félix F. da Silva, Esther Colombini, Hélio Pedrini, and Sandra Avila · 2023
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Learning equi-angular representations for online continual learning
Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, and Jonghyun Choi · 2024
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Clip-adapter: Better vision-language models with feature adapters
Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, and Yu Qiao · 2024
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