Artículos de revistas sobre el tema "Contrastive loss"
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Vito, Valentino y Lim Yohanes Stefanus. "An Asymmetric Contrastive Loss for Handling Imbalanced Datasets". Entropy 24, n.º 9 (15 de septiembre de 2022): 1303. http://dx.doi.org/10.3390/e24091303.
Texto completoHoffmann, David T., Nadine Behrmann, Juergen Gall, Thomas Brox y Mehdi Noroozi. "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 897–905. http://dx.doi.org/10.1609/aaai.v36i1.19972.
Texto completoAkash, Aditya Kumar, Vishnu Suresh Lokhande, Sathya N. Ravi y Vikas Singh. "Learning Invariant Representations using Inverse Contrastive Loss". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de mayo de 2021): 6582–91. http://dx.doi.org/10.1609/aaai.v35i8.16815.
Texto completoAhmad, Sajjad, Zahoor Ahmad y Jong-Myon Kim. "A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning". Sensors 22, n.º 17 (26 de agosto de 2022): 6448. http://dx.doi.org/10.3390/s22176448.
Texto completoAnderson, John. "A major restructuring in the English consonant system: the de-linearization of [h] and the de-consonantization of [w] and [j]". English Language and Linguistics 5, n.º 2 (25 de septiembre de 2001): 199–212. http://dx.doi.org/10.1017/s1360674301000211.
Texto completoCheng, Yixian y Haiyang Wang. "A modified contrastive loss method for face recognition". Pattern Recognition Letters 125 (julio de 2019): 785–90. http://dx.doi.org/10.1016/j.patrec.2019.07.025.
Texto completoLi, Yunfan, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou y Xi Peng. "Contrastive Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 10 (18 de mayo de 2021): 8547–55. http://dx.doi.org/10.1609/aaai.v35i10.17037.
Texto completoCiortan, Madalina, Romain Dupuis y Thomas Peel. "A Framework Using Contrastive Learning for Classification with Noisy Labels". Data 6, n.º 6 (9 de junio de 2021): 61. http://dx.doi.org/10.3390/data6060061.
Texto completoTanveer, Muhammad, Hung-Khoon Tan, Hui-Fuang Ng, Maylor Karhang Leung y Joon Huang Chuah. "Regularization of Deep Neural Network With Batch Contrastive Loss". IEEE Access 9 (2021): 124409–18. http://dx.doi.org/10.1109/access.2021.3110286.
Texto completoDuan, Jiayi. "Reformatted contrastive learning for image classification via attention mechanism and self-distillation". Journal of Physics: Conference Series 2284, n.º 1 (1 de junio de 2022): 012013. http://dx.doi.org/10.1088/1742-6596/2284/1/012013.
Texto completoFang, Hongchao y Pengtao Xie. "An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding". Transactions of the Association for Computational Linguistics 10 (2022): 1324–40. http://dx.doi.org/10.1162/tacl_a_00521.
Texto completoGómez-Silva, María J., Arturo de la Escalera y José M. Armingol. "Deep Learning of Appearance Affinity for Multi-Object Tracking and Re-Identification: A Comparative View". Electronics 9, n.º 11 (22 de octubre de 2020): 1757. http://dx.doi.org/10.3390/electronics9111757.
Texto completoRezaeifar, Shideh, Slava Voloshynovskiy, Meisam Asgari Asgari Jirhandeh y Vitality Kinakh. "Privacy-Preserving Image Template Sharing Using Contrastive Learning". Entropy 24, n.º 5 (3 de mayo de 2022): 643. http://dx.doi.org/10.3390/e24050643.
Texto completoZhu, He, Yang Chen, Guyue Hu y Shan Yu. "Contrastive Learning via Local Activity". Electronics 12, n.º 1 (29 de diciembre de 2022): 147. http://dx.doi.org/10.3390/electronics12010147.
Texto completoPang, Bo, Deming Zhai, Junjun Jiang y Xianming Liu. "Fully Unsupervised Person Re-Identification via Selective Contrastive Learning". ACM Transactions on Multimedia Computing, Communications, and Applications 18, n.º 2 (31 de mayo de 2022): 1–15. http://dx.doi.org/10.1145/3485061.
Texto completoZOU, Yuanhao, Yufei ZHANG y Xiaodong ZHAO. "Self-Supervised Time Series Classification Based on LSTM and Contrastive Transformer". Wuhan University Journal of Natural Sciences 27, n.º 6 (diciembre de 2022): 521–30. http://dx.doi.org/10.1051/wujns/2022276521.
Texto completoLiu, Mengxin, Wenyuan Tao, Xiao Zhang, Yi Chen, Jie Li y Chung-Ming Own. "GO Loss: A Gaussian Distribution-Based Orthogonal Decomposition Loss for Classification". Complexity 2019 (12 de diciembre de 2019): 1–10. http://dx.doi.org/10.1155/2019/9206053.
Texto completoZhu, Jiaqi, Shuaishi Liu, Siyang Yu y Yihu Song. "An Extra-Contrast Affinity Network for Facial Expression Recognition in the Wild". Electronics 11, n.º 15 (22 de julio de 2022): 2288. http://dx.doi.org/10.3390/electronics11152288.
Texto completoJain, Yash, Chi Ian Tang, Chulhong Min, Fahim Kawsar y Akhil Mathur. "ColloSSL". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, n.º 1 (29 de marzo de 2022): 1–28. http://dx.doi.org/10.1145/3517246.
Texto completoQiao, Hezhe, Lin Chen, Zi Ye y Fan Zhu. "Early Alzheimer’s disease diagnosis with the contrastive loss using paired structural MRIs". Computer Methods and Programs in Biomedicine 208 (septiembre de 2021): 106282. http://dx.doi.org/10.1016/j.cmpb.2021.106282.
Texto completoZheng, Kecheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang y Zheng-Jun Zha. "Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3538–46. http://dx.doi.org/10.1609/aaai.v35i4.16468.
Texto completoZhang, Jiayi, Xingzhi Wang, Dong Zhang y Dah-Jye Lee. "Semi-Supervised Group Emotion Recognition Based on Contrastive Learning". Electronics 11, n.º 23 (1 de diciembre de 2022): 3990. http://dx.doi.org/10.3390/electronics11233990.
Texto completoTan, Xiaoyan, Yun Zou, Ziyang Guo, Ke Zhou y Qiangqiang Yuan. "Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval". Remote Sensing 14, n.º 15 (29 de julio de 2022): 3643. http://dx.doi.org/10.3390/rs14153643.
Texto completoHu, Shengze, Weixin Zeng, Pengfei Zhang y Jiuyang Tang. "Neural Graph Similarity Computation with Contrastive Learning". Applied Sciences 12, n.º 15 (29 de julio de 2022): 7668. http://dx.doi.org/10.3390/app12157668.
Texto completoMo, Yujie, Liang Peng, Jie Xu, Xiaoshuang Shi y Xiaofeng Zhu. "Simple Unsupervised Graph Representation Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7797–805. http://dx.doi.org/10.1609/aaai.v36i7.20748.
Texto completoVirmani, D., P. Girdhar, P. Jain y P. Bamdev. "FDREnet: Face Detection and Recognition Pipeline". Engineering, Technology & Applied Science Research 9, n.º 2 (10 de abril de 2019): 3933–38. http://dx.doi.org/10.48084/etasr.2492.
Texto completoSun, Ke, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li y Rongrong Ji. "Dual Contrastive Learning for General Face Forgery Detection". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2316–24. http://dx.doi.org/10.1609/aaai.v36i2.20130.
Texto completoZeng, Jiaqi y Pengtao Xie. "Contrastive Self-supervised Learning for Graph Classification". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 12 (18 de mayo de 2021): 10824–32. http://dx.doi.org/10.1609/aaai.v35i12.17293.
Texto completoEtebari, Zahra, Ali Alizadeh, Mehrdad Naghzguy-Kohan y Maria Koptjevskaja Tamm. "Development of contrastive-partitive in colloquial Persian". STUF - Language Typology and Universals 73, n.º 4 (26 de noviembre de 2020): 575–604. http://dx.doi.org/10.1515/stuf-2020-1019.
Texto completoGuo, Tianyu, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang y Runwei Ding. "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 762–70. http://dx.doi.org/10.1609/aaai.v36i1.19957.
Texto completoMaheshwari, Paridhi, Ritwick Chaudhry y Vishwa Vinay. "Scene Graph Embeddings Using Relative Similarity Supervision". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2328–36. http://dx.doi.org/10.1609/aaai.v35i3.16333.
Texto completoLi, Shimin, Hang Yan y Xipeng Qiu. "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 11002–10. http://dx.doi.org/10.1609/aaai.v36i10.21348.
Texto completoJu, Jeongwoo, Heechul Jung y Junmo Kim. "Extending Contrastive Learning to Unsupervised Redundancy Identification". Applied Sciences 12, n.º 4 (20 de febrero de 2022): 2201. http://dx.doi.org/10.3390/app12042201.
Texto completoGupta, Devansh, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru y Rajiv Ratn Shah. "Contrastive Personalization Approach to Suspect Identification (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 11 (28 de junio de 2022): 12961–62. http://dx.doi.org/10.1609/aaai.v36i11.21617.
Texto completoParaskevopoulos, Georgios, Petros Pistofidis, Georgios Banoutsos, Efthymios Georgiou y Vassilis Katsouros. "Multimodal Classification of Safety-Report Observations". Applied Sciences 12, n.º 12 (7 de junio de 2022): 5781. http://dx.doi.org/10.3390/app12125781.
Texto completoPan, Zhiqiang y Honghui Chen. "Efficient Graph Collaborative Filtering via Contrastive Learning". Sensors 21, n.º 14 (7 de julio de 2021): 4666. http://dx.doi.org/10.3390/s21144666.
Texto completoZhou, Fan, Pengyu Wang, Xovee Xu, Wenxin Tai y Goce Trajcevski. "Contrastive Trajectory Learning for Tour Recommendation". ACM Transactions on Intelligent Systems and Technology 13, n.º 1 (28 de febrero de 2022): 1–25. http://dx.doi.org/10.1145/3462331.
Texto completoTang, Shixiang, Peng Su, Dapeng Chen y Wanli Ouyang. "Gradient Regularized Contrastive Learning for Continual Domain Adaptation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2665–73. http://dx.doi.org/10.1609/aaai.v35i3.16370.
Texto completoWang, Hao, Euijoon Ahn y Jinman Kim. "Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2431–39. http://dx.doi.org/10.1609/aaai.v36i2.20143.
Texto completoLi, Hang, Li Li y Hongbing Wang. "Defect Detection for Wear Debris Based on Few-Shot Contrastive Learning". Applied Sciences 12, n.º 23 (22 de noviembre de 2022): 11893. http://dx.doi.org/10.3390/app122311893.
Texto completoChen, Qiang y Yinong Chen. "Multi-view 3D model retrieval based on enhanced detail features with contrastive center loss". Multimedia Tools and Applications 81, n.º 8 (15 de febrero de 2022): 10407–26. http://dx.doi.org/10.1007/s11042-022-12281-9.
Texto completoDeepak, S. y P. M. Ameer. "Retrieval of brain MRI with tumor using contrastive loss based similarity on GoogLeNet encodings". Computers in Biology and Medicine 125 (octubre de 2020): 103993. http://dx.doi.org/10.1016/j.compbiomed.2020.103993.
Texto completoZhang, Xinyun, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li y Bei Yu. "Context-Based Contrastive Learning for Scene Text Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junio de 2022): 3353–61. http://dx.doi.org/10.1609/aaai.v36i3.20245.
Texto completoKim, Daeha y Byung Cheol Song. "Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 7 (18 de mayo de 2021): 5948–56. http://dx.doi.org/10.1609/aaai.v35i7.16743.
Texto completoMa, Ziping, Dongxiu Feng, Jingyu Wang y Hu Ma. "Retinal OCTA Image Segmentation Based on Global Contrastive Learning". Sensors 22, n.º 24 (14 de diciembre de 2022): 9847. http://dx.doi.org/10.3390/s22249847.
Texto completoChen, Liang, Yihang Lou, Jianzhong He, Tao Bai y Minghua Deng. "Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 6 (28 de junio de 2022): 6258–67. http://dx.doi.org/10.1609/aaai.v36i6.20575.
Texto completoChen, Haoyu, Hao Tang, Zitong Yu, Nicu Sebe y Guoying Zhao. "Geometry-Contrastive Transformer for Generalized 3D Pose Transfer". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 258–66. http://dx.doi.org/10.1609/aaai.v36i1.19901.
Texto completoCho, Jungchan. "Synthetic Source Universal Domain Adaptation through Contrastive Learning". Sensors 21, n.º 22 (12 de noviembre de 2021): 7539. http://dx.doi.org/10.3390/s21227539.
Texto completoLiu, Pingping, Lida Shi, Zhuang Miao, Baixin Jin y Qiuzhan Zhou. "Relative Distribution Entropy Loss Function in CNN Image Retrieval". Entropy 22, n.º 3 (11 de marzo de 2020): 321. http://dx.doi.org/10.3390/e22030321.
Texto completoZhao, Xusheng y Jinglei Liu. "Leveraging Deep Features Enhance and Semantic-Preserving Hashing for Image Retrieval". Electronics 11, n.º 15 (30 de julio de 2022): 2391. http://dx.doi.org/10.3390/electronics11152391.
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