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Exemplar-Free Class-Incremental Learning (EFCIL) aims to sequentially learn from distinct categories without retaining exemplars but easily suffers from catastrophic forgetting of learned knowledge.
Pseudoinverse learning algorithm for feedforward neural networks
Guo, P. and Lyu, M. R · 2001
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Learning multiple layers of features from tiny images
Krizhevsky, A., Nair, V., and Hinton, G · 2009
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The Caltech-UCSD birds-200-2011 dataset
Wah, C., Branson, S., Welinder, P., Perona, P., and Belongie, S · 2011
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The stability-plasticity dilemma: investigating the continuum from catastrophic forgetting to age-limited learning effects
Mermillod, M., Bugaiska, A., and BONIN, P · 2013
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ImageNet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R · 2017
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Learning without forgetting
Li, Z. and Hoiem, D · 2017
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iCaRL: Incremental classifier and representation learning
Rebuffi, S.-A., Kolesnikov, A., Sperl, G., and Lampert, C. H · 2017
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Continual learning through synaptic intelligence
Zenke, F., Poole, B., and Ganguli, S · 2017
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Memory aware synapses: Learning what (not) to forget
Aljundi, R., Babiloni, F., Elhoseiny, M., Rohrbach, M., and Tuytelaars, T · 2018
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Learning without memorizing
Dhar, P., Singh, R. V., Peng, K.-C., Wu, Z., and Chellappa, R · 2019
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Learning a unified classifier incrementally via rebalancing
Hou, S., Pan, X., Loy, C. C., Wang, Z., and Lin, D · 2019
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PODNet: Pooled outputs distillation for small-tasks incremental learning
Douillard, A., Cord, M., Ollion, C., Robert, T., and Valle, E · 2020
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Semantic drift compensation for class-incremental learning
Yu, L., Twardowski, B., Liu, X., Herranz, L., Wang, K., Cheng, Y., Jui, S., and Weijer, J. v. d · 2020
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A comprehensive study of class incremental learning algorithms for visual tasks
Belouadah, E., Popescu, A., and Kanellos, I · 2021
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Prototype augmentation and self-supervision for incremental learning
Zhu, F., Zhang, X.-Y., Wang, C., Yin, F., and Liu, C.-L · 2021
Cited alongside, same era.
Correlation projection for analytic learning of a classification network
Zhuang, H., Lin, Z., and Toh, K.-A · 2021
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Blockwise recursive moore–penrose inverse for network learning
Zhuang, H., Lin, Z., and Toh, K.-A · 2021
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Overcoming catastrophic forgetting in incremental object detection via elastic response distillation
Feng, T., Wang, M., and Yuan, H · 2022
Cited alongside, same era.
Class-incremental learning: Survey and performance evaluation on image classification
Masana, M., Liu, X., Twardowski, B., Menta, M., Bagdanov, A. D., and van de Weijer, J · 2022
Cited alongside, same era.
Bring evanescent representations to life in lifelong class incremental learning
Make continual learning stronger via c-flat
Bian, A., Li, W., Yuan, H., Wang, M., Zhao, Z., Lu, A., Ji, P., Feng, T., et al · 2024
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AIR: Analytic imbalance rectifier for continual learning, 2024
Fang, D., Zhu, Y., Lin, Z., Chen, C., Zeng, Z., and Zhuang, H · 2024
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Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free class-incremental learning
Gao, Z., Xu, K., Zhuang, H., Liu, L., Mao, X., Ding, B., Feng, D., and Wang, H · 2024
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Exemplar-free continual representation learning via learnable drift compensation
Gomez-Villa, A., Goswami, D., Wang, K., Bagdanov, A. D., Twardowski, B., and van de Weijer, J · 2024
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Resurrecting old classes with new data for exemplar-free continual learning
Goswami, D., Soutif-Cormerais, A., Liu, Y., Kamath, S., Twardowski, B., and Van De Weijer, J · 2024
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Toldo, M. and Ozay, M · 2022
Cited alongside, same era.
FOSTER: Feature boosting and compression for class-incremental learning
Wang, F.-Y., Zhou, D.-W., Ye, H.-J., and Zhan, D.-C · 2022
Cited alongside, same era.
Self-sustaining representation expansion for non-exemplar class-incremental learning
Zhu, K., Zhai, W., Cao, Y., Luo, J., and Zha, Z.-J · 2022
Cited alongside, same era.
FeCAM: Exploiting the heterogeneity of class distributions in exemplar-free continual learning
Goswami, D., Liu, Y., Twardowski, B. o., and van de Weijer, J · 2023
Cited alongside, same era.
CRNet: A fast continual learning framework with random theory
Li, D. and Zeng, Z · 2023
Cited alongside, same era.
NAPA-VQ: Neighborhood aware prototype augmentation with vector quantization for continual learning
Malepathirana, T., Senanayake, D., and Halgamuge, S · 2023
Cited alongside, same era.
FeTrIL: Feature translation for exemplar-free class-incremental learning
Petit, G., Popescu, A., Schindler, H., Picard, D., and Delezoide, B · 2023
Cited alongside, same era.
DYSON: Dynamic feature space self-organization for online task-free class incremental learning
He, Y., Chen, Y., Jin, Y., Dong, S., Wei, X., and Gong, Y · 2024
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FCS: Feature calibration and separation for non-exemplar class incremental learning
Li, Q., Peng, Y., and Zhou, J · 2024
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Elastic feature consolidation for cold start exemplar-free incremental learning
Magistri, S., Trinci, T., Soutif, A., van de Weijer, J., and Bagdanov, A. D · 2024
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Task-recency bias strikes back: Adapting covariances in exemplar-free class incremental learning
Rypeść, G., Cygert, S., Trzcinski, T., and Twardowski, B · 2024
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Advancing cross-domain discriminability in continual learning of vision-language models
Xu, Y., Chen, Y., Nie, J., Wang, Y., Zhuang, H., and Okumura, M · 2024
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MMAL: Multi-modal analytic learning for exemplar-free audio-visual class incremental tasks
Yue, X., Zhang, X., Chen, Y., Zhang, C., Lao, M., Zhuang, H., Qian, X., and Li, H · 2024
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3D-AOCL: Analytic online continual learning for imbalanced 3d point cloud classification
Zeng, Z., Wang, J., Wu, L., Lu, W., and Zhuang, H · 2024
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A statistical theory of regularization-based continual learning
Zhao, X., Wang, H., Huang, W., and Lin, W · 2024
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Multi-layer rehearsal feature augmentation for class-incremental learning
Zheng, B., Zhou, D.-W., Ye, H.-J., and Zhan, D.-C · 2024
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Class-incremental learning: A survey
Zhou, D.-W., Wang, Q.-W., Qi, Z.-H., Ye, H.-J., Zhan, D.-C., and Liu, Z · 2024
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Maintaining fairness in logit-based knowledge distillation for class-incremental learning
Gao, Z., Han, S., Zhang, X., Xu, K., Zhou, D., Mao, X., Dou, Y., and Wang, H · 2025
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