Gradient-based learning applied to document recognition

Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.·1998·Proceedings of the IEEE
DOI 10.1109/5.726791

Cited by (741)

Items 701–741 of 741

  1. Integrating transformers into physics-informed neural networks: An approach to lithium-ion battery state-of-health prognostics
    Zhan, Yichen, Yan, Kehuan, Zheng, Xianghan · 2025 · International Journal of Electrical Power & Energy Systems
  2. Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
    Han, Ligong, Gao, Ruijiang, Kim, Mun, Tao, Xin, Liu, Bo, Metaxas, Dimitris · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  3. JPEG steganalysis based on ResNeXt with Gauss partial derivative filters
    Su, Ante, He, Xiaolei, Zhao, Xianfeng · 2021 · Multimedia Tools and Applications
  4. Skip-attention encoder–decoder framework for human motion prediction
    Zhang, Ruipeng, Shu, Xiangbo, Yan, Rui, Zhang, Jiachao, Song, Yan · 2022 · Multimedia Systems
  5. A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning
    Pronello, Cristina, Anbarasan, Deepan, Spoturno, Felipe, Terzolo, Giulia · 2025 · Public Transport
  6. Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques
    Safarpour, Mehdi, Deng, Tommy Z., Massingham, John, Xun, Lei, Sabokrou, Mohammad, Silven, Olli · 2021 · 2021 IEEE Nordic Circuits and Systems Conference (NorCAS)
  7. Deep Semi-Supervised Learning
    Hailat, Zeyad, Komarichev, Artem, Chen, Xue-Wen · 2018 · 2018 24th International Conference on Pattern Recognition (ICPR)
  8. Automated segmentation of insect anatomy from micro‐CT images using deep learning
    Toulkeridou, Evropi, Gutierrez, Carlos Enrique, Baum, Daniel, Doya, Kenji, Economo, Evan P. · 2023 · Natural Sciences
  9. Toward Cleansing Backdoored Neural Networks in Federated Learning
    Wu, Chen, Yang, Xian, Zhu, Sencun, Mitra, Prasenjit · 2022 · 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
  10. Predicting Mechanical State of High-Speed Railway Elevated Station Track System Using a Hybrid Prediction Model
    Ma, Zhuoran, Gao, Liang · 2021 · KSCE Journal of Civil Engineering
  11. Deep-Learning Based Multi-Modal Models for Brain Age, Cognition and Amyloid Pathology Prediction
    Wang, Chenxi, Zhang, Weiwei, Ni, Ming, Wang, Qiong, Liu, Chang, Dai, Linbin, Zhang, Mengguo, Shen, Yong, Gao, Feng · 2025 · Alzheimer's Research & Therapy
  12. Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
    Yamada, Jun, Shawe-Taylor, John, Fountas, Zafeirios · 2020 · 2020 International Joint Conference on Neural Networks (IJCNN)
  13. Real-Time Optimization of Retinal Ganglion Cell Spatial Activity in Response to Epiretinal Stimulation
    Haji Ghaffari, Dorsa, Akwaboah, Akwasi Darkwah, Mirzakhalili, Ehsan, Weiland, James D. · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  14. aSGD: Stochastic Gradient Descent with Adaptive Batch Size for Every Parameter
    Shi, Haoze, Yang, Naisen, Tang, Hong, Yang, Xin · 2022 · Mathematics
  15. Image Anomaly Detection with Capsule Networks and Imbalanced Datasets
    Piciarelli, Claudio, Mishra, Pankaj, Foresti, Gian Luca · 2019 · Lecture Notes in Computer Science
  16. Multimodal Fusion with Co-attention Mechanism
    Li, Pei, Li, Xinde · 2020 · 2020 IEEE 23rd International Conference on Information Fusion (FUSION)
  17. A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
    Liu, Guanxiong, Khalil, Issa, Khreishah, Abdallah, Phan, NhatHai · 2021 · 2021 IEEE International Conference on Big Data (Big Data)
  18. Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
    Li, Xi, Xiang, Zhen, Miller, David J., Kesidis, George · 2022 · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  19. Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
    Rohekar, Raanan Y., Gurwicz, Yaniv, Nisimov, Shami, Novik, Gal · 2019 · arXiv
  20. A Note on Deepfake Detection with Low-Resources
    Kawa, Piotr, Syga, Piotr · 2020 · arXiv
  21. Augmentation of small training data using GANs for enhancing the performance of image classification
    Hung, Shih-Kai, Gan, John Q. · 2021 · 2020 25th International Conference on Pattern Recognition (ICPR)
  22. Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring
    Malik, Gulmina, Dipto, Imran Chowdhury, Masood, Muhammad Umar, Mohamed, Mashboob Cheruvakkadu, Straullu, Stefano, Bhyri, Sai Kishore, Galimberti, Gabriele Maria, Napoli, Antonio, Pedro, João, Wakim, Walid et al. · 2025 · AI
  23. The changing fortunes of pattern recognition and computer vision
    Chellappa, Rama · 2016 · Image and Vision Computing
  24. A Comparative Study Between Deep Learning and Traditional Machine Learning Techniques for Facial Biometric Recognition
    Finizola, Jonnathann Silva, Targino, Jonas Mendonça, Teodoro, Felipe Gustavo Silva, de Moraes Lima, Clodoaldo Aparecido · 2018 · Lecture Notes in Computer Science
  25. Evolving Long Short-Term Memory Networks
    Lobo Neto, Vicente Coelho, Passos, Leandro Aparecido, Papa, João Paulo · 2020 · Lecture Notes in Computer Science
  26. Between the booms: AI in Winter
    Haigh, Thomas · 2024 · Communications of the ACM
  27. Multimodal Generative Models for Compositional Representation Learning
    Wu, Mike, Goodman, Noah · 2019 · arXiv
  28. Interpretable representation learning for 3D multi-piece intracellular structures using point clouds
    Vasan, Ritvik, Ferrante, Alexandra J., Borensztejn, Antoine, Frick, Christopher L., Garrison, Philip, Gaudreault, Nathalie, Mogre, Saurabh S., Mohammed, Fatwir S., Morris, Benjamin, Pires, Guilherme G. et al. · 2025 · Nature Methods
  29. A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
    Wu, Yuli, Karetić, Ivan, Stegmaier, Johannes, Walter, Peter, Merhof, Dorit · 2023 · 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  30. A Quantized Neural Network Library for Proper Implementation of Hardware Emulation
    Kiyama, Masato, Nakahara, Yasuhiro, Amagasaki, Motoki, Iida, Masahiro · 2019 · 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW)
  31. A lightweight backdoor defense framework based on image inpainting
    Wei, Yier, Gao, Haichang, Wang, Yufei, Gao, Yipeng, Liu, Huan · 2023 · Neurocomputing
  32. Parallel Operation of Self‐Limited Analog Programming for Fast Array‐Level Weight Programming and Update
    Song, Hanchan, An, Jangho, Son, Seoil, Kim, Young Seok, Park, Juseong, Jeon, Jae Bum, Kim, Geunyoung, Kim, Kyung Min · 2020 · Advanced Intelligent Systems
  33. Automatic Discovery of Privacy–Utility Pareto Fronts
    Avent, Brendan, González, Javier, Diethe, Tom, Paleyes, Andrei, Balle, Borja · 2020 · Proceedings on Privacy Enhancing Technologies
  34. Optimal Power Control for Over-The-Air Federated Edge Learning Using Statistical Channel Knowledge
    Yu, Xichen, Xiao, Bingnan, Ni, Wei, Wang, Xin · 2022 · 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)
  35. Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
    Zhang, Yao, Mao, Yuyi, Wang, Hui, Yu, Zhiwen, Guo, Song, Zhang, Jun, Wang, Liang, Guo, Bin · 2025 · IEEE Transactions on Mobile Computing
  36. Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
    Mo, Fan, Borovykh, Anastasia, Malekzadeh, Mohammad, Demetriou, Soteris, Gündüz, Deniz, Haddadi, Hamed · 2021 · arXiv
  37. TVGeAN: Tensor Visibility Graph-Enhanced Attention Network for Versatile Multivariant Time Series Learning Tasks
    Baz, Mohammed · 2024 · Mathematics
  38. Computational predictive processing models of consciousness: a systematic review of non-invasive brain signal analysis in disorders of consciousness
    Adama, Sophie, Bogdan, Martin · 2026 · Frontiers in Computational Neuroscience
  39. Edit at your own risk: evaluating the robustness of edited models to distribution shifts
    Brown, Davis, Godfrey, Charles, Nizinski, Cody, Tu, Jonathan, Kvinge, Henry · 2023 · arXiv
  40. Facial Emotion Recognition via Multimodal Information Fusion
    Hei, Shijun · 2025 · 2025 China Automation Congress (CAC)
  41. Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
    Li, Zexi, Li, Zhiqi, Lin, Jie, Shen, Tao, Xiao, Jun, Guo, Yike, Lin, Tao, Wu, Chao · 2024 · arXiv