Zhan, Y.S.[Yu-Sen],
Ammar, H.B.[Haitham Bou],
Taylor, M.E.[Matthew E.],
Scalable lifelong reinforcement learning,
PR(72), No. 1, 2017, pp. 407-418.
Elsevier DOI
1708
Reinforcement, learning
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Lifelong Teacher-Student Network Learning,
PAMI(44), No. 10, October 2022, pp. 6280-6296.
IEEE DOI
2209
BibRef
Earlier:
Learning Latent Representations Across Multiple Data Domains Using
Lifelong VaeGAN,
ECCV20(XX:777-795).
Springer DOI
2011
Task analysis, Training, Data models,
Generative adversarial networks, Probabilistic logic,
teacher -student framework
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet
Process,
ICCV21(10675-10684)
IEEE DOI
2203
BibRef
Earlier:
Lifelong learning of interpretable image representations,
IPTA20(1-6)
IEEE DOI
2206
Analytical models, Adaptation models, Codes,
Computational modeling, Mixture models, Network architecture,
Representation learning.
Learning systems, Interpolation, Databases, Image synthesis, Tools,
Generators, Mutual information, Lifelong learning,
Mutual information
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Lifelong Twin Generative Adversarial Networks,
ICIP21(1289-1293)
IEEE DOI
2201
Training, Knowledge engineering, Interpolation, Databases,
Image processing, Generative adversarial networks,
Teacher-Student learning models
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Online Task-Free Continual Generative and Discriminative Learning via
Dynamic Cluster Memory,
CVPR24(26202-26212)
IEEE DOI Code:
WWW Link.
2410
Training, Source coding, Memory management,
Semantics, Task-Free continual learning,
Diffusion model
BibRef
Ye, F.[Fei],
Bors, A.G.[Adrian G.],
Wasserstein Expansible Variational Autoencoder for Discriminative and
Generative Continual Learning,
ICCV23(18619-18629)
IEEE DOI Code:
WWW Link.
2401
BibRef
And:
Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning,
ICCV23(22045-22055)
IEEE DOI Code:
WWW Link.
2401
BibRef
Earlier:
Learning an Evolved Mixture Model for Task-Free Continual Learning,
ICIP22(1936-1940)
IEEE DOI
2211
Training, Deep learning, Adaptation models, Mixture models,
Network architecture, Benchmark testing,
Hilbert Schmidt Independence Criterion
BibRef
Lan, C.L.[Chuan-Lin],
Feng, F.[Fan],
Liu, Q.[Qi],
She, Q.[Qi],
Yang, Q.[Qihan],
Hao, X.Y.[Xin-Yue],
Mashkin, I.[Ivan],
Kei, K.S.[Ka Shun],
Qiang, D.[Dong],
Lomonaco, V.[Vincenzo],
Shi, X.S.[Xue-Song],
Wang, Z.W.[Zheng-Wei],
Guo, Y.[Yao],
Zhang, Y.M.[Yi-Min],
Qiao, F.[Fei],
Chan, R.H.M.[Rosa H.M.],
Towards lifelong object recognition: A dataset and benchmark,
PR(130), 2022, pp. 108819.
Elsevier DOI
2206
Robotic vision, Continual learning, Lifelong learning, Object recognition
BibRef
Dong, J.H.[Jia-Hua],
Cong, Y.[Yang],
Sun, G.[Gan],
Zhang, T.[Tao],
Lifelong robotic visual-tactile perception learning,
PR(121), 2022, pp. 108176.
Elsevier DOI
2109
Lifelong machine learning, Robotics, Visual-tactile perception,
Cross-modality learning, Multi-task learning
BibRef
Liu, Y.Y.[Yu-Yang],
Cong, Y.[Yang],
Sun, G.[Gan],
Ding, Z.M.[Zheng-Ming],
Lifelong Visual-Tactile Spectral Clustering for Robotic Object
Perception,
CirSysVideo(33), No. 2, February 2023, pp. 818-829.
IEEE DOI
2302
Task analysis, Robots, Libraries, Manifolds, Correlation,
Computational modeling, Visualization, Lifelong learning,
modality-consistent and modality-invariant
BibRef
Yang, S.J.[Shuo-Jin],
Cai, Z.C.[Zhan-Chuan],
Cross Domain Lifelong Learning Based on Task Similarity,
PAMI(45), No. 10, October 2023, pp. 11612-11623.
IEEE DOI
2310
BibRef
Lekkala, K.[Kiran],
Bhargava, E.[Eshan],
Itti, L.[Laurent],
Evaluating Pretrained Models for Deployable Lifelong Learning,
Pretrain24(561-569)
IEEE DOI
2404
Learning systems, Visualization, Scalability,
Reinforcement learning, Games
BibRef
Srivastava, S.[Shikhar],
Yaqub, M.[Mohammad],
Nandakumar, K.[Karthik],
Lifelong Learning of Task-Parameter Relationships for Knowledge
Transfer,
CLVision23(2525-2534)
IEEE DOI
2309
BibRef
Wang, W.J.[Wen-Jin],
Hu, Y.Q.[Yun-Qing],
Chen, Q.[Qianglong],
Zhang, Y.[Yin],
Task Difficulty Aware Parameter Allocation and Regularization for
Lifelong Learning,
CVPR23(7776-7785)
IEEE DOI
2309
BibRef
Yu, X.F.[Xiao-Fan],
Guo, Y.H.[Yun-Hui],
Gao, S.[Sicun],
Rosing, T.[Tajana],
SCALE: Online Self-Supervised Lifelong Learning without Prior
Knowledge,
CLVision23(2484-2495)
IEEE DOI
2309
BibRef
Wang, Z.[Zhen],
Liu, L.[Liu],
Kong, Y.J.[Ya-Jing],
Guo, J.X.[Jia-Xian],
Tao, D.C.[Da-Cheng],
Online Continual Learning with Contrastive Vision Transformer,
ECCV22(XX:631-650).
Springer DOI
2211
BibRef
Wang, Z.[Zhen],
Liu, L.[Liu],
Duan, Y.Q.[Yi-Qun],
Kong, Y.J.[Ya-Jing],
Tao, D.C.[Da-Cheng],
Continual Learning with Lifelong Vision Transformer,
CVPR22(171-181)
IEEE DOI
2210
Training, Learning systems, Neural networks, Interference,
Benchmark testing, Transformers, Machine learning, Others,
Representation learning
BibRef
Wang, R.[Runqi],
Bao, Y.X.[Yu-Xiang],
Zhang, B.C.[Bao-Chang],
Liu, J.Z.[Jian-Zhuang],
Zhu, W.T.[Wen-Tao],
Guo, G.D.[Guo-Dong],
Anti-retroactive Interference for Lifelong Learning,
ECCV22(XXIV:163-178).
Springer DOI
2211
BibRef
Araujo, V.[Vladimir],
Hurtado, J.[Julio],
Soto, A.[Alvaro],
Moens, M.F.[Marie-Francine],
Entropy-based Stability-Plasticity for Lifelong Learning,
CLVision22(3720-3727)
IEEE DOI
2210
Training, Deep learning, Computational modeling, Natural languages,
Neural networks, Interference, Transformers
BibRef
Wang, C.[Chen],
Qiu, Y.H.[Yu-Heng],
Gao, D.[Dasong],
Scherer, S.[Sebastian],
Lifelong Graph Learning,
CVPR22(13709-13718)
IEEE DOI
2210
Bridges, Training, Performance evaluation, Network topology,
Wearable computers, Graph neural networks, Topology, Statistical methods
BibRef
Hayes, T.L.,
Kanan, C.,
Lifelong Machine Learning with Deep Streaming Linear Discriminant
Analysis,
CLVision20(887-896)
IEEE DOI
2008
Streaming media, Covariance matrices, Training,
Computational modeling, Neural networks, Task analysis,
Linear discriminant analysis
BibRef
Zhai, M.Y.[Meng-Yao],
Chen, L.[Lei],
Mori, G.[Greg],
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned
Generation,
CVPR21(2246-2255)
IEEE DOI
2111
Deep learning, Costs, Heuristic algorithms, Memory management,
Filtering algorithms, Information filters, Generators
BibRef
Zhai, M.Y.[Meng-Yao],
Chen, L.[Lei],
He, J.W.[Jia-Wei],
Nawhal, M.[Megha],
Tung, F.[Frederick],
Mori, G.[Greg],
Piggyback GAN:
Efficient Lifelong Learning for Image Conditioned Generation,
ECCV20(XXI:397-413).
Springer DOI
2011
BibRef
Earlier: A1, A2, A5, A3, A4, A6:
Lifelong GAN: Continual Learning for Conditional Image Generation,
ICCV19(2759-2768)
IEEE DOI
2004
image processing, learning (artificial intelligence),
neural nets, continual learning, deep neural networks, Training data
BibRef
Elhoseiny, M.[Mohamed],
Babiloni, F.[Francesca],
Aljundi, R.[Rahaf],
Rohrbach, M.[Marcus],
Paluri, M.[Manohar],
Tuytelaars, T.[Tinne],
Exploring the Challenges Towards Lifelong Fact Learning,
ACCV18(VI:66-84).
Springer DOI
1906
BibRef
Aljundi, R.[Rahaf],
Chakravarty, P.[Punarjay],
Tuytelaars, T.[Tinne],
Expert Gate: Lifelong Learning with a Network of Experts,
CVPR17(7120-7129)
IEEE DOI
1711
Data models, Load modeling, Logic gates, Neural networks, Training,
Training, data
BibRef
Rannen, A.[Amal],
Aljundi, R.[Rahaf],
Blaschko, M.B.[Matthew B.],
Tuytelaars, T.[Tinne],
Encoder Based Lifelong Learning,
ICCV17(1329-1337)
IEEE DOI
1802
Learning usually adapts to the most recent task, need a sequence of
tasks.
feature extraction, image classification,
learning (artificial intelligence), catastrophic forgetting,
Training
BibRef
Aljundi, R.[Rahaf],
Babiloni, F.[Francesca],
Elhoseiny, M.[Mohamed],
Rohrbach, M.[Marcus],
Tuytelaars, T.[Tinne],
Memory Aware Synapses: Learning What (not) to Forget,
ECCV18(III: 144-161).
Springer DOI
1810
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Active Learning .