Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.


References in zbMATH (referenced in 62 articles )

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  1. Duchi, John C.; Namkoong, Hongseok: Learning models with uniform performance via distributionally robust optimization (2021)
  2. Meng, Chuangji; Xu, Cunlu; Lei, Qin; Su, Wei; Wu, Jinzhao: Balanced joint maximum mean discrepancy for deep transfer learning (2021)
  3. Sakai, Tomoya; Niu, Gang; Sugiyama, Masashi: Information-theoretic representation learning for positive-unlabeled classification (2021)
  4. Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni: Avalanche: an End-to-End Library for Continual Learning (2021) arXiv
  5. Zhu, Qiming; Liu, Zeliang; Yan, Jinhui: Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks (2021)
  6. Ankit, Aayush; El Hajj, Izzat; Chalamalasetti, Sai Rahul; Agarwal, Sapan; Marinella, Matthew; Foltin, Martin; Strachan, John Paul; Milojicic, Dejan; Hwu, Wen-Mei; Roy, Kaushik: PANTHER: a programmable architecture for neural network training harnessing energy-efficient ReRAM (2020)
  7. Guo, Jian; He, He; He, Tong; Lausen, Leonard; Li, Mu; Lin, Haibin; Shi, Xingjian; Wang, Chenguang; Xie, Junyuan; Zha, Sheng; Zhang, Aston; Zhang, Hang; Zhang, Zhi; Zhang, Zhongyue; Zheng, Shuai; Zhu, Yi: GluonCV and GluonNLP: deep learning in computer vision and natural language processing (2020)
  8. Kuwajima, Hiroshi; Yasuoka, Hirotoshi; Nakae, Toshihiro: Engineering problems in machine learning systems (2020)
  9. Wang, Yi; Zhang, Hao; Chae, Kum Ju; Choi, Younhee; Jin, Gong Yong; Ko, Seok-Bum: Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography (2020)
  10. Zheng, Qinghe; Tian, Xinyu; Yang, Mingqiang; Wu, Yulin; Su, Huake: PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning (2020)
  11. Cai, Hongmin; Huang, Qinjian; Rong, Wentao; Song, Yan; Li, Jiao; Wang, Jinhua; Chen, Jiazhou; Li, Li: Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms (2019)
  12. Dreossi, Tommaso; Donzé, Alexandre; Seshia, Sanjit A.: Compositional falsification of cyber-physical systems with machine learning components (2019)
  13. Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary Bradski: Kornia: an Open Source Differentiable Computer Vision Library for PyTorch (2019) arXiv
  14. Higham, Catherine F.; Higham, Desmond J.: Deep learning: an introduction for applied mathematicians (2019)
  15. Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin: MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) arXiv
  16. Kaiyang Zhou, Tao Xiang: Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch (2019) arXiv
  17. Kang, Woochul; Chung, Jaeyong: DeepRT: predictable deep learning inference for cyber-physical systems (2019)
  18. Li, Shan; Deng, Weihong: Reliable crowdsourcing and deep locality-preserving learning for unconstrained facial expression recognition (2019)
  19. Saberian, Mohammad; Vasconcelos, Nuno: Multiclass boosting: margins, codewords, losses, and algorithms (2019)
  20. Savchenko, A. V.: Sequential three-way decisions in multi-category image recognition with deep features based on distance factor (2019)

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