Memory Aware Synapses: Learning What (not) to Forget

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Items 301–400 of 1,000

1. Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation
   Dingcheng Li, Zheng Chen, Eunah Cho, Jie Hao, Xiaohu Liu, Fan Xing, Chenlei Guo, Yang Liu · 2022 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
2. Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
   Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
3. Rehearsal-free Continual Language Learning via Efficient Parameter Isolation
   Zhicheng Wang, Yufang Liu, Tao Ji, Xiaoling Wang, Yuanbin Wu, Congcong Jiang, Chao Ye, Zhencong Han, Ling Wang, Xu Shao et al. · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
4. ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
   Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
5. Self-Supervised Training Enhances Online Continual Learning
   Jhair Gallardo, Tyler L. Hayes, Christopher Kanan · 2021 · arXiv (Cornell University)
6. Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
   Xiang Rong Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong · 2024 · IEEE Winter Conference on Applications of Computer Vision
7. Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction
   Chung‐Yin Lin, Jinsu Gim, Demitri Shotwell, Mong-Tung Lin, Jia‐Hau Liu, Lih‐Sheng Turng · 2024 · Journal of Intelligent Manufacturing
8. Convolutional Prompting meets Language Models for Continual Learning
   Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
   Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu · 2024 · Lecture notes in computer science
10. Residual Tuning: Toward Novel Category Discovery Without Labels
    Yu Liu, Tinne Tuytelaars · 2022 · IEEE Transactions on Neural Networks and Learning Systems
11. Learning with Recoverable Forgetting
    Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang · 2022 · Lecture notes in computer science
12. NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
    Karim Guirguis, Johannes Meier, George Eskandar, Matthias Kayser, Bin Yang, Jürgen Beyerer · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
13. CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
    Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
14. MiSSNet: Memory-Inspired Semantic Segmentation Augmentation Network for Class-Incremental Learning in Remote Sensing Images
    Jiajun Xie, Bin Pan, Xia Xu, Zhenwei Shi · 2024 · IEEE Transactions on Geoscience and Remote Sensing
15. RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
    Riccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer · 2020 · arXiv (Cornell University)
16. Towards a Deep Learning-based Online Quality Prediction System for Welding Processes
    Yannik Hahn, Robert F. Maack, Guido Buchholz, Marion Purrio, Matthias Angerhausen, Hasan Tercan, Tobias Meisen · 2023 · Procedia CIRP
17. Pre-trained Online Contrastive Learning for Insurance Fraud Detection
    Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
18. An Incremental Unified Framework for Small Defect Inspection
    Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, Fugee Tsung · 2024 · Lecture notes in computer science
19. Continual learning for energy management systems: A review of methods and applications, and a case study
    Aya Nabil Sayed, Yassine Himeur, Iraklis Varlamis, Fayçal Bensaali · 2025 · Applied Energy
20. Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
    Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof · 2025 · Medical Image Analysis
21. Unsupervised Progressive Learning and the STAM Architecture
    James Smith, Cameron Taylor, Seth Baer, Constantine Dovrolis · 2021 · International Joint Conference on Artificial Intelligence
22. Incremental Deep Neural Network Learning Using Classification Confidence Thresholding
    Justin Leo, Jugal Kumar Kalita · 2021 · IEEE Transactions on Neural Networks and Learning Systems
23. RD-IOD: Two-Level Residual-Distillation-Based Triple-Network for Incremental Object Detection
    Dongbao Yang, Yu Zhou, Wei Shi, Dayan Wu, Weiping Wang · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
24. Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation
    Meng Xu, Yuanyuan Zhao, Liang Yajun, Xiaorui Ma · 2022 · Remote Sensing
25. Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
    S. Nagendra, Daniel Kifer, Benjamin B. Mirus, Te Pei, Kathryn Lawson, srikanth banagere manjunatha, Weixin Li, Hien Nguyen, Tong Qiu, Sarah Tran et al. · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
26. Prompt-Based Prototypical Framework for Continual Relation Extraction
    Han Zhang, Bin Liang, Min Yang, Hui Wang, Ruifeng Xu · 2022 · IEEE/ACM Transactions on Audio Speech and Language Processing
27. Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
    Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
28. AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
    Yuqing Zhao, Divya Saxena, Jiannong Cao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
29. Distill and Replay for Continual Language Learning
    Jingyuan Sun, Shaonan Wang, Jiajun Zhang, Chengqing Zong · 2020 · International Conference on Computational Linguistics
30. Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling
    Zhen Wei Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
31. A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types
    Shijun Xie, Changqing Shen, Dong Wang, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu · 2025 · Advanced Engineering Informatics
32. Fast Adapting Without Forgetting for Face Recognition
    Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Ziqing Li · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
33. Knowledge-Preserving continual person re-identification using Graph Attention Network
    Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu · 2023 · Neural Networks
34. Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System
    Jie Du, Peng Liu, Chi‐Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen · 2023 · IEEE Transactions on Neural Networks and Learning Systems
35. Lifelong Learning With Cycle Memory Networks
    Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li · 2023 · IEEE Transactions on Neural Networks and Learning Systems
36. Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
    Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
37. Subspace distillation for continual learning
    Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Tafazzoli Harandi · 2023 · Neural Networks
38. Heterogeneous Forgetting Compensation for Class-Incremental Learning
    Jia-Hua Dong, Wenqi Liang, Cong Yang, Gan Sun · 2023 · IEEE International Conference on Computer Vision
39. ADINet: Attribute Driven Incremental Network for Retinal Image Classification
    Qier Meng, Shin’ichi Satoh · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
40. Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
    Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori · 2020 · Lecture notes in computer science
41. Meta Continual Learning
    Risto Vuorio, Dong-Yeon Cho, Kim, Daejoong, Jiwon Kim · 2018 · arXiv (Cornell University)
42. Continual World: A Robotic Benchmark For Continual Reinforcement Learning
    Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś · 2021 · arXiv (Cornell University)
43. CeCR: Cross-entropy contrastive replay for online class-incremental continual learning
    Guanglu Sun, Baolun Ji, Lili Liang, Minghui Chen · 2024 · Neural Networks
44. Toward General Industrial Intelligence: A Survey of Large Models as a Service in Industrial IoT
    Jianhua Tang, Jiao Chen, Jiayi He, Fangfang Chen, Zuohong Lv, Guangjie Han, Zuozhu Liu, Howard Hua Yang, Weihua Li · 2025 · IEEE Communications Surveys & Tutorials
45. SLER: Self-generated long-term experience replay for continual reinforcement learning
    Chunmao Li, Li Yang, Yin-Liang ZHAO, Peng Peng, Xupeng Geng · 2020 · Applied Intelligence
46. Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
    Jong-Yeong Kim, Dong-Wan Choi · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
47. Adversarial Continual Learning for Multi-domain Hippocampal Segmentation
    Marius Memmel, Camila González, Anirban Mukhopadhyay · 2021 · Lecture notes in computer science
48. Saliency Guided Experience Packing for Replay in Continual Learning
    Gobinda Saha, Kaushik Roy · 2023 · IEEE Winter Conference on Applications of Computer Vision
49. Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
    Francesco Pelosin, Saurav Jha, Andrea Torsello A, Bogdan Raducanu, Joost van de Weijer · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
50. Learning by Seeing More Classes
    Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
51. Anti-retroactive Interference for Lifelong Learning
    Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo · 2022 · Lecture notes in computer science
52. Helpful or Harmful: Inter-task Association in Continual Learning
    Hyundong Jin, Eunwoo Kim · 2022 · Lecture notes in computer science
53. Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
    Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker · 2023 · IEEE Winter Conference on Applications of Computer Vision
54. Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning
    Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng · 2023 · IEEE Transactions on Multimedia
55. eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
    Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
56. Importance Driven Continual Learning for Segmentation Across Domains
    Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger · 2020 · Lecture notes in computer science
57. Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
    Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang · 2024 · Lecture notes in computer science
58. Multibranch Horizontal Augmentation Network for Continuous Remaining Useful Life Prediction
    Jianghong Zhou, Jun Luo, Huayan Pu, Yi Qin · 2025 · IEEE Transactions on Systems Man and Cybernetics Systems
59. Towards Lifelong Learning of End-to-End ASR
    Heng-Jui Chang, Hung-yi Lee, Lin-shan Lee · 2021 · Interspeech (USB)
60. AI-Lancet: Locating Error-inducing Neurons to Optimize Neural Networks
    Yue Zhao, Hong Guo Zhu, Kai Chen, Shengzhi Zhang · 2021 · ACM SIGSAC Conference on Computer and Communications Security (CCS)
61. CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
    Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
62. Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
    Bing Qing Han, Feifei Zhao, Yi Ping Zeng, Wenxuan Pan, Guobin Shen · 2023 · International Joint Conference on Artificial Intelligence
63. Privacy-preserving continual learning methods for medical image classification: a comparative analysis
    Tanvi Verma, Liyuan Jin, Jun Wei Zhou, Jia Huang, Mingrui Tan, Benjamin Chen Ming Choong, Ting Fang Tan, Fei Gao, Xinxing Xu, Daniel Shu Wei Ting et al. · 2023 · Frontiers in Medicine
64. Rethinking exemplars for continual semantic segmentation in endoscopy scenes: Entropy-based mini-batch pseudo-replay
    Guankun Wang, Long Bai, Yanan Wu, Tong Chen, Hongliang Ren · 2023 · Computers in Biology and Medicine
65. ICICLE: Interpretable Class Incremental Continual Learning
    Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński, Bartłomiej Twardowski · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
66. What is Wrong with Continual Learning in Medical Image Segmentation?
    Camila González, Nick Lemke, Amin Ranem, Georgios Sakas, Anirban Mukhopadhyay · 2025
67. Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
    Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei‐Shi Zheng · 2021 · arXiv (Cornell University)
68. Continual Learning in Medicine: A Systematic Literature Review
    Pierangela Bruno, Alessandro Quarta, Francesco Calimeri · 2025 · Neural Processing Letters
69. CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
    Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Min Zhou, Liang He · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors
    Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogerio S. Feris · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
71. A graph convolutional topic model for short and noisy text streams
    Linh Ngo Van, Tran Xuan Bach, Khoat Quang Than · 2021 · Neurocomputing
72. Tf-GCZSL: Task-free generalized continual zero-shot learning
    Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram · 2022 · Neural Networks
73. What and Where: Learn to Plug Adapters via NAS for Multidomain Learning
    Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li · 2021 · IEEE Transactions on Neural Networks and Learning Systems
74. EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking
    Xinyu Zhang, Tian-Fang Zhao, Jiansheng Chen, Yuan Shen, Xueming Li · 2022 · Nature Communications
75. An incremental learning method with hybrid data over/down-sampling for sEMG-based gesture classification
    Shaoyang Hua, Congqing Wang, Hak‐Keung Lam, Shuhuan Wen · 2023 · Biomedical Signal Processing and Control
76. Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition
    Steven Vander Eeckt, Hugo Van hamme · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
77. Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering
    Zi Qian, Xin Yue Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
78. Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds
    Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
79. In Defense of Knowledge Distillation for Task Incremental Learning and Its Application in 3D Object Detection
    Yun Peng, Yuxuan Liu, Ming Liu · 2021 · IEEE Robotics and Automation Letters
80. Generative Feature Replay with Orthogonal Weight Modification for Continual Learning
    Gehui Shen, Song Zhang, Xiang Chen, Zhihong Deng · 2021 · International Joint Conference on Neural Networks (IJCNN)
81. Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
    Mehdi Bennani, Thang Doan, Masashi Sugiyama · 2020 · arXiv (Cornell University)
82. FedViT: Federated continual learning of vision transformer at edge
    Xiaojiang Zuo, Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Lydia Y. Chen · 2023 · Future Generation Computer Systems
83. EL-GNN: A Continual-Learning-Based Graph Neural Network for Task-Incremental Intrusion Detection Systems
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84. IIRC: Incremental Implicitly-Refined Classification
    Mohamed Farouk Ahmed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
85. Multi-Domain Multi-Task Rehearsal for Lifelong Learning
    Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
86. Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition
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87. Learning to Learn and Remember Super Long Multi-Domain Task Sequence
    Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
88. Hyperspectral Image Classification Using Geometric Spatial–Spectral Feature Integration: A Class Incremental Learning Approach
    Jing Bai, Ruotong Mona Liu, Haisheng Zhao, Zhu Qiang Xiao, Zheng Chen, Wei Shi, Yong Xiong, Licheng Jiao · 2023 · IEEE Transactions on Geoscience and Remote Sensing
89. Continual Named Entity Recognition without Catastrophic Forgetting
    Duzhen Zhang, Cong Wei, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Yu Fang · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
90. Clustering-based Domain-Incremental Learning
    Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Bäck, Paris V. Giampouras · 2023 · IEEE International Conference on Computer Vision Workshops
91. Interactive Continual Learning: Fast and Slow Thinking
    Biqing Qi, Xinquan Chen, Junqi Gao, Li Dong, Jianxing Liu, Ligang Wu, Bowen Zhou · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
92. Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
    Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
93. Learn Distributed GAN with Temporary Discriminators
    Hui Yan Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas · 2020 · Lecture notes in computer science
94. Continual Learning for Neural Machine Translation
    Yue Cao, Haoran Wei, Boxing Chen, Xiaojun Wan · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
95. Compositional Generalization for Primitive Substitutions
    Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness · 2019 · arXiv (Cornell University)
96. Adaptive Plasticity Improvement for Continual Learning
    Liang, Yan-Shuo, Li, Wu-Jun · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
97. LIRA: Lifelong Image Restoration from Unknown Blended Distortions
    Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen · 2020 · Lecture notes in computer science
98. AirLoop: Lifelong Loop Closure Detection
    Dasong Gao, Chen Wang, Sebastian Scherer · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
99. Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection
    Rupesh Raj Karn, Prabhakar N. Kudva, Ibrahim M. Elfadel · 2021 · IEEE Access
100. Coordinating Experience Replay: A Harmonious Experience Retention approach for Continual Learning
     Zhong Ji, Jiayi Liu, Qiang Wang, Zhongfei Mark Zhang · 2021 · Knowledge-Based Systems