Encoder Based Lifelong Learning

Rannen, Amal, Aljundi, Rahaf, Blaschko, Matthew B., Tuytelaars, Tinne·2017·2017 IEEE International Conference on Computer Vision (ICCV)

Cited by (325)

Items 201–300 of 325

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  5. Synergistic insights: Exploring continuous learning and explainable AI in handwritten digit recognition
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  7. Hybrid rotation self-supervision and feature space normalization for class incremental learning
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  8. Gradient Projection for Continual Parameter-Efficient Tuning
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  9. DNN Patching: Progressive Fixing and Augmenting the Functionalities of DNNs for Autonomous Vehicles
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  10. Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
    Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager · 2022 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  11. Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection
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  12. Adaptive Compression-based Lifelong Learning
    Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia · 2019 · arXiv (Cornell University)
  13. Continuous Transfer Learning with Label-informed Distribution Alignment
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  14. Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.
    Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang · 2020 · arXiv (Cornell University)
  15. A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex
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  16. Towards Unsupervised Domain-Specific Open-World Recognition
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  17. Selecting Useful Knowledge from Previous Tasks for Future Learning in a Single Network
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  18. On the Beneficial Effects of Reinjections for Continual Learning
    M. Solinas, Marina Reyboz, Stéphane Rousset, Julie Galliere, Marion Mainsant, Yannick Bourrier, Anca Molnos, Martial Mermillod · 2022 · SN Computer Science
  19. Continual learning approaches for single cell RNA sequencing data
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  20. Cross-Station Continual Aurora Image Classification
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  21. InfoUCL: Learning Informative Representations for Unsupervised Continual Learning
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  22. RD-NMSVM: neural mapping support vector machine based on parameter regularization and knowledge distillation
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  23. Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
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  24. Making Good on LSTMs' Unfulfilled Promise
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  25. Continual learning with direction-constrained optimization.
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  26. Continual Learning for Text Classification with Information Disentanglement Based Regularization
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  27. A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
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  28. Evolving Ensemble Model based on Hilbert Schmidt Independence Criterion for task-free continual learning
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  29. Streaming learning with Move-to-Data approach for image classification
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  30. NLOCL: Noise-Labeled Online Continual Learning
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  31. Latent attribute augmented network for few-shot class-incremental learning
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  32. HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
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  33. Lifelong Fine-Grained Image Retrieval
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  34. Squeezing More Past Knowledge for Online Class-Incremental Continual Learning
    Dahua Yu, Mingyi Zhang, Mantian Li, Fusheng Zha, Junge Zhang, Lining Sun, Kaiqi Huang · 2023 · IEEE/CAA Journal of Automatica Sinica
  35. Incremental Learning of Handwritten Characters in EMNIST dataset
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  36. scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data
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  37. Efficient Adaptive Incremental Learning for Fruit and Vegetable Classification
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  38. A New Regularization-Based Continual Learning Framework
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  39. TactCLNet: Tactile Continual Learning Network Based on Generative Replay for Object Hardness Recognition
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  40. Mapping of urban landuse and landcover with multiple sensors : Joining close and remote sensing with deep learning
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  41. Reviewing continual learning from the perspective of human-level intelligence
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  42. Utilizing Inherent Bias for Memory Efficient Continual Learning: A Simple and Robust Baseline
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  43. Lifelong visible–infrared person re-identification via replay samples domain-modality-mix reconstruction and cross-domain cognitive network
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  44. Metric Learning with Distillation for Overcoming Catastrophic Forgetting
    Piaoyao Yu, Juanjuan He, Qilang Min, Qi Zhu · 2022 · Communications in computer and information science
  45. Using Flexible Memories to Reduce Catastrophic Forgetting
    Wernsen Wong, Yun Sing Koh, Gillian Dobbie · 2023 · Lecture notes in computer science
  46. An incremental learning approach for sustainable regional isolation and integration
    Ziyi Wu, Hongge Yao, Hong Xu Jiang, Jiaojiao Ma · 2023 · Computers & Electrical Engineering
  47. Intellicise Router Promotes Endogenous Intelligence in Communication Network
    Qiyun Guo, Haotai Liang, Zhicheng Bao, Chen Dong, Xiaodong Xu, Zhongzheng Tang, Yue Bei · 2024 · IEEE Transactions on Machine Learning in Communications and Networking
  48. TS-ILM:Class Incremental Learning for Online Action Detection
    Xiaochen Li, Jian Cheng, Ziying Xia, Zichong Chen, Junhao Shi, Zhicheng Dong, Nyima Tashi · 2024 · ACM International Conference on Multimedia (ACM MM)
  49. Overcoming Catastrophic Forgetting with Self-adaptive Identifiers
    Fangzhou Xiong, Zhiyong Liu, Xu Yang · 2018 · Lecture notes in computer science
  50. Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation
    Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain · 2019 · IEEE ... International Conference on Data Mining workshops
  51. Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge
    Vali Ollah Maraghi, Karim Faez A · 2022 · Computational Intelligence and Neuroscience
  52. Face recognition by deep learning
    Yue Chun Wu · 2019
  53. TAG: Task-based Accumulated Gradients for Lifelong learning
    Pranshu Malviya, Balaraman Ravindran, Sarath Chandar · 2021 · arXiv (Cornell University)
  54. Dual Network Based Complementary Learning System for Continual Learning
    G. L. Aruna Kumari, Iickho Song · 2021 · IEEE/CIC International Conference on Communications in China (ICCC)
  55. Causal Inference-based Few-Shot Class-Incremental Learning
    Weiwei Zhou, Guoqiang Xiao, Michael S. Lew, Song Wu · 2024 · International Conference on Multimedia Retrieval
  56. Class Incremental Learning Based on Playback Images Generated by Classification Network
    Qiuyu Zhu, Yunxiao Zhang, Yunhang Zhuo, Junli Chen · 2024 · International Journal of Pattern Recognition and Artificial Intelligence
  57. Continual Learning With Quasi-Newton Methods
    Steven Vander Eeckt, Hugo Van hamme · 2025 · IEEE Access
  58. Dual-Stage Clean-Sample Selection for Incremental Noisy Label Learning
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  60. Target Recognition Method Based on Incremental Learning
    Weize Qin · 2022 · International Conference on Applied Machine Learning (ICAML)
  61. Incremental learning without looking back: a neural connection relocation approach
    Yi Liu, Xiang Wu, Yuming Bo, Zejia Zheng, Mingfeng Yin · 2023 · Neural Computing and Applications
  62. Continual Learning with a Memory of Non-similar Samples
    Qilang Min, Juanjuan He, Liuyan Yang, Yue Fu · 2023 · Communications in computer and information science
  63. Continual learning in an easy-to-hard manner
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  64. Continual Learning with Deep Streaming Regularized Discriminant Analysis
    Joe Khawand, Peter Hanappe, David Colliaux · 2023 · IEEE International Conference on Computer Vision Workshops
  65. Jointly Optimal Incremental Learning with Self-Supervised Vision Transformers
    Hanna Witzgall · 2024 · IEEE Aerospace Conference (AERO)
  66. BACS: Background Aware Continual Semantic Segmentation
    Mostafa ElAraby, Ali Harakeh, Liam Paull · 2024
  67. Representation Space Maintenance: Against Forgetting in Continual Learning
    Rui Niu, Zhiyong Wu, Changhe Song · 2024 · International Joint Conference on Neural Networks (IJCNN)
  68. Autoencoders Covering Space as a Life-Long Classifier
    Rudolf Szadkowski, Jan Drchal, Jan Faigl · 2019 · Advances in intelligent systems and computing
  69. Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
    Yunfei Teng, Anna Choromanska, Murray S. Campbell, Songtao Lu, Parikshit Ram, Lior Horesh C · 2023 · Lecture notes in computer science
  70. Local learning rules to attenuate forgetting in neural networks
    Michael Deistler, Martino Sorbaro, Michael E. Rule, Matthias H. Hennig · 2018 · arXiv (Cornell University)
  71. Self-Net: Lifelong Learning via Continual Self-Modeling
    Blake Camp, Jaya Krishna Mandivarapu, Rolando G. Estrada · 2018 · arXiv (Cornell University)
  72. Efficient Multi-Domain Network Learning by Covariance Normalization
    Yunsheng Li, Nuno M. Vasconcelos · 2019 · arXiv (Cornell University)
  73. Beneficial perturbation network for continual learning
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  74. Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations
    Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh · 2020 · arXiv (Cornell University)
  75. Continual Unsupervised Domain Adaptation with Adversarial Learning.
    Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim · 2020 · arXiv (Cornell University)
  76. Continual Learning with Quasi-Newton Methods
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  77. Continual Learning with Quasi-Newton Methods
    Steven Vander Eeckt, Hugo Van hamme · 2022
  78. Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
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  79. Learning to generalize to new tasks/domains with limited data
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  80. Apprentissage continu : S'attaquer à l'oubli foudroyant des réseaux de neurones profonds grâce aux méthodes à rejeu de données
    Timothée Lesort · 2020 · theses.fr (ABES)
  81. Model Transfer with Explicit Knowledge of the Relation between Class Definitions
    Hiyori Yoshikawa, Tomoya Iwakura · 2018 · Conference on Computational Natural Language Learning
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  83. Exploring the Challenges towards Lifelong Fact Learning
    Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars · 2018 · arXiv (Cornell University)
  84. Discriminative Streaming Network Embedding
    Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold C. K. Cheng, Albert Bifet, Pinghui Wang · 2019 · Knowledge-Based Systems
  85. Incremental Learning With Sample Generation From Pretrained Networks
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  86. More Parameters? No Thanks!
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  87. Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
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  88. Online Continual Learning in Image Classification: An Empirical Survey
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  89. Continual Learning with Quasi-Newton Methods
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  92. Model Inversion-Based Incremental Learning
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  95. Sampled Feature Replay and Multilayer Knowledge Distillation for Class-Incremental learning
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  98. Viability of Convolutional Variational Autoencoders for Lifelong Class Incremental Similarity Learning
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  100. Towards Unsupervised Domain-Specific Open-World Recognition
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