Добірка наукової літератури з теми "Task-specific representation learnining"
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Статті в журналах з теми "Task-specific representation learnining"
Wang, Chaoqun, Xuejin Chen, Shaobo Min, Xiaoyan Sun, and Houqiang Li. "Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (May 18, 2021): 2710–18. http://dx.doi.org/10.1609/aaai.v35i3.16375.
Повний текст джерелаLi, Yingcong, and Samet Oymak. "Provable Pathways: Learning Multiple Tasks over Multiple Paths." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (June 26, 2023): 8701–10. http://dx.doi.org/10.1609/aaai.v37i7.26047.
Повний текст джерелаWang, Gerui, and Sheng Tang. "Generalized Zero-Shot Image Classification via Partially-Shared Multi-Task Representation Learning." Electronics 12, no. 9 (May 3, 2023): 2085. http://dx.doi.org/10.3390/electronics12092085.
Повний текст джерелаBasu Roy Chowdhury, Somnath, and Snigdha Chaturvedi. "Sustaining Fairness via Incremental Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (June 26, 2023): 6797–805. http://dx.doi.org/10.1609/aaai.v37i6.25833.
Повний текст джерелаDavvetas, Athanasios, Iraklis A. Klampanos, Spiros Skiadopoulos, and Vangelis Karkaletsis. "Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes." ACM Transactions on Knowledge Discovery from Data 16, no. 5 (October 31, 2022): 1–22. http://dx.doi.org/10.1145/3502732.
Повний текст джерелаKonidaris, George, Leslie Pack Kaelbling, and Tomas Lozano-Perez. "From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning." Journal of Artificial Intelligence Research 61 (January 31, 2018): 215–89. http://dx.doi.org/10.1613/jair.5575.
Повний текст джерелаGu, Jie, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, and Jun Zhang. "Exploiting Behavioral Consistence for Universal User Representation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4063–71. http://dx.doi.org/10.1609/aaai.v35i5.16527.
Повний текст джерелаYu, Wenmeng, Hua Xu, Ziqi Yuan, and 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, no. 12 (May 18, 2021): 10790–97. http://dx.doi.org/10.1609/aaai.v35i12.17289.
Повний текст джерелаAhmed, Mahtab, and 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, no. 05 (April 3, 2020): 7358–66. http://dx.doi.org/10.1609/aaai.v34i05.6230.
Повний текст джерелаMehmood, Tahir, Ivan Serina, Alberto Lavelli, Luca Putelli, and Alfonso Gerevini. "On the Use of Knowledge Transfer Techniques for Biomedical Named Entity Recognition." Future Internet 15, no. 2 (February 17, 2023): 79. http://dx.doi.org/10.3390/fi15020079.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаDoctor of Philosophy
Sen, Shiraj. "Bridging the gap between autonomous skill learning and task-specific planning." 2013. https://scholarworks.umass.edu/dissertations/AAI3556285.
Повний текст джерелаЧастини книг з теми "Task-specific representation learnining"
Lin, Yankai, Ning Ding, Zhiyuan Liu, and Maosong Sun. "Pre-trained Models for Representation Learning." In 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.
Повний текст джерелаBragman, Felix J. S., Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, and M. Jorge Cardoso. "Learning Task-Specific and Shared Representations in Medical Imaging." In Lecture Notes in Computer Science, 374–83. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32251-9_41.
Повний текст джерелаChen, Tao, Ruifeng Xu, Yulan He, and Xuan Wang. "Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network." In Neural Information Processing, 467–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_51.
Повний текст джерелаKozłowski, Marek, Przemyslaw Buczkowski, and Piotr Brzezinski. "A Novel Process of Shoe Pairing Using Computer Vision and Deep Learning Methods." In Digital Interaction and Machine Intelligence, 35–44. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_4.
Повний текст джерелаShi, Lei, Yahui Li, Boon Thau Loo, and Rajeev Alur. "Network Traffic Classification by Program Synthesis." In 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.
Повний текст джерелаChen, Tao, Ruifeng Xu, Yulan He, and Xuan Wang. "Learning Task Specific Distributed Paragraph Representations Using a 2-tier Convolutional Neural Network." In Social Media Content Analysis, 161–70. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813223615_0012.
Повний текст джерелаKalyuga, Slava. "Managing Cognitive Load in Verbal and Pictorial Representations." In Managing Cognitive Load in Adaptive Multimedia Learning, 123–48. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-048-6.ch006.
Повний текст джерелаPoon, Hoifung, Hai Wang, and Hunter Lang. "Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210361.
Повний текст джерела"Space Representation and Gender Differences." In 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.
Повний текст джерелаDe Luca, Stefano, and Walter Quattrociocchi. "Dynamic Contexts and Concepts as a Set of State Variations Under Emerging Functions." In Applications of Complex Adaptive Systems, 34–56. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-962-5.ch002.
Повний текст джерелаТези доповідей конференцій з теми "Task-specific representation learnining"
Peng, Minlong, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, and Xuanjing Huang. "Learning Task-Specific Representation for Novel Words in Sequence Labeling." In 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.
Повний текст джерелаMannem, Renuka, Hima Jyothi R., Aravind Illa, and Prasanta Kumar Ghosh. "Speech Rate Task-Specific Representation Learning from Acoustic-Articulatory Data." In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-2259.
Повний текст джерелаZhang, Chenrui, and Yuxin Peng. "Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification." In 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.
Повний текст джерелаJames, Steven. "Learning Portable Symbolic Representations." In 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.
Повний текст джерелаTsvetkov, Yulia, Manaal Faruqui, Wang Ling, Brian MacWhinney, and Chris Dyer. "Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning." In 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.
Повний текст джерелаChen, Shaoxiang, Ting Yao, and Yu-Gang Jiang. "Deep Learning for Video Captioning: A Review." In 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.
Повний текст джерелаLiu, Yang, Jing Liu, Xiaoguang Zhu, Donglai Wei, Xiaohong Huang, and Liang Song. "Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9746822.
Повний текст джерелаSun, Jingyuan, and Marie-Francine Moens. "Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?" In 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.
Повний текст джерелаZheng, Renjie, Junkun Chen, and Xipeng Qiu. "Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks." In 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.
Повний текст джерелаShin, Kyuyong, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyungmin Kim, Jung-Woo Ha, and Sang-Woo Lee. "Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning." In 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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