Literatura académica sobre el tema "Task-specific representation learnining"
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Artículos de revistas sobre el tema "Task-specific representation learnining"
Wang, Chaoqun, Xuejin Chen, Shaobo Min, Xiaoyan Sun y Houqiang Li. "Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2710–18. http://dx.doi.org/10.1609/aaai.v35i3.16375.
Texto completoLi, Yingcong y Samet Oymak. "Provable Pathways: Learning Multiple Tasks over Multiple Paths". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 7 (26 de junio de 2023): 8701–10. http://dx.doi.org/10.1609/aaai.v37i7.26047.
Texto completoWang, Gerui y Sheng Tang. "Generalized Zero-Shot Image Classification via Partially-Shared Multi-Task Representation Learning". Electronics 12, n.º 9 (3 de mayo de 2023): 2085. http://dx.doi.org/10.3390/electronics12092085.
Texto completoBasu Roy Chowdhury, Somnath y Snigdha Chaturvedi. "Sustaining Fairness via Incremental Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 6 (26 de junio de 2023): 6797–805. http://dx.doi.org/10.1609/aaai.v37i6.25833.
Texto completoDavvetas, Athanasios, Iraklis A. Klampanos, Spiros Skiadopoulos y Vangelis Karkaletsis. "Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes". ACM Transactions on Knowledge Discovery from Data 16, n.º 5 (31 de octubre de 2022): 1–22. http://dx.doi.org/10.1145/3502732.
Texto completoKonidaris, George, Leslie Pack Kaelbling y Tomas Lozano-Perez. "From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning". Journal of Artificial Intelligence Research 61 (31 de enero de 2018): 215–89. http://dx.doi.org/10.1613/jair.5575.
Texto completoGu, Jie, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen y Jun Zhang. "Exploiting Behavioral Consistence for Universal User Representation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 5 (18 de mayo de 2021): 4063–71. http://dx.doi.org/10.1609/aaai.v35i5.16527.
Texto completoYu, Wenmeng, Hua Xu, Ziqi Yuan y Jiele Wu. "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 12 (18 de mayo de 2021): 10790–97. http://dx.doi.org/10.1609/aaai.v35i12.17289.
Texto completoAhmed, Mahtab y Robert E. Mercer. "Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 7358–66. http://dx.doi.org/10.1609/aaai.v34i05.6230.
Texto completoMehmood, Tahir, Ivan Serina, Alberto Lavelli, Luca Putelli y Alfonso Gerevini. "On the Use of Knowledge Transfer Techniques for Biomedical Named Entity Recognition". Future Internet 15, n.º 2 (17 de febrero de 2023): 79. http://dx.doi.org/10.3390/fi15020079.
Texto completoTesis sobre el tema "Task-specific representation learnining"
Ekhtiari, Amiri Sorour. "Task-specific summarization of networks: Optimization and Learning". Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/100993.
Texto completoDoctor of Philosophy
Sen, Shiraj. "Bridging the gap between autonomous skill learning and task-specific planning". 2013. https://scholarworks.umass.edu/dissertations/AAI3556285.
Texto completoCapítulos de libros sobre el tema "Task-specific representation learnining"
Lin, Yankai, Ning Ding, Zhiyuan Liu y Maosong Sun. "Pre-trained Models for Representation Learning". En Representation Learning for Natural Language Processing, 127–67. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1600-9_5.
Texto completoBragman, Felix J. S., Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander y M. Jorge Cardoso. "Learning Task-Specific and Shared Representations in Medical Imaging". En Lecture Notes in Computer Science, 374–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32251-9_41.
Texto completoChen, Tao, Ruifeng Xu, Yulan He y Xuan Wang. "Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network". En Neural Information Processing, 467–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_51.
Texto completoKozłowski, Marek, Przemyslaw Buczkowski y Piotr Brzezinski. "A Novel Process of Shoe Pairing Using Computer Vision and Deep Learning Methods". En Digital Interaction and Machine Intelligence, 35–44. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_4.
Texto completoShi, Lei, Yahui Li, Boon Thau Loo y Rajeev Alur. "Network Traffic Classification by Program Synthesis". En Tools and Algorithms for the Construction and Analysis of Systems, 430–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72016-2_23.
Texto completoChen, Tao, Ruifeng Xu, Yulan He y Xuan Wang. "Learning Task Specific Distributed Paragraph Representations Using a 2-tier Convolutional Neural Network". En Social Media Content Analysis, 161–70. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813223615_0012.
Texto completoKalyuga, Slava. "Managing Cognitive Load in Verbal and Pictorial Representations". En Managing Cognitive Load in Adaptive Multimedia Learning, 123–48. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-048-6.ch006.
Texto completoPoon, Hoifung, Hai Wang y Hunter Lang. "Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning". En Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210361.
Texto completo"Space Representation and Gender Differences". En A Simplex Approach to Learning, Cognition, and Spatial Navigation, 23–28. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2455-7.ch003.
Texto completoDe Luca, Stefano y Walter Quattrociocchi. "Dynamic Contexts and Concepts as a Set of State Variations Under Emerging Functions". En Applications of Complex Adaptive Systems, 34–56. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-962-5.ch002.
Texto completoActas de conferencias sobre el tema "Task-specific representation learnining"
Peng, Minlong, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu y Xuanjing Huang. "Learning Task-Specific Representation for Novel Words in Sequence Labeling". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/715.
Texto completoMannem, Renuka, Hima Jyothi R., Aravind Illa y Prasanta Kumar Ghosh. "Speech Rate Task-Specific Representation Learning from Acoustic-Articulatory Data". En Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-2259.
Texto completoZhang, Chenrui y Yuxin Peng. "Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/158.
Texto completoJames, Steven. "Learning Portable Symbolic Representations". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/826.
Texto completoTsvetkov, Yulia, Manaal Faruqui, Wang Ling, Brian MacWhinney y Chris Dyer. "Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning". En Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/p16-1013.
Texto completoChen, Shaoxiang, Ting Yao y Yu-Gang Jiang. "Deep Learning for Video Captioning: A Review". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/877.
Texto completoLiu, Yang, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang y Liang Song. "Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention". En ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9746822.
Texto completoSun, Jingyuan y Marie-Francine Moens. "Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?" En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/577.
Texto completoZheng, Renjie, Junkun Chen y Xipeng Qiu. "Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/642.
Texto completoShin, Kyuyong, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyungmin Kim, Jung-Woo Ha y Sang-Woo Lee. "Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning". En Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.acl-long.64.
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