Статті в журналах з теми "Task-specific representation learnining"
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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 джерелаJeannerod, M. "The representing brain: Neural correlates of motor intention and imagery." Behavioral and Brain Sciences 17, no. 2 (June 1994): 187–202. http://dx.doi.org/10.1017/s0140525x00034026.
Повний текст джерелаChen, Yuhao, Alexander Wong, Yuan Fang, Yifan Wu, and Linlin Xu. "Deep Residual Transform for Multi-scale Image Decomposition." Journal of Computational Vision and Imaging Systems 6, no. 1 (January 15, 2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3537.
Повний текст джерелаLu, Su, Han-Jia Ye, and De-Chuan Zhan. "Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (May 18, 2021): 8776–83. http://dx.doi.org/10.1609/aaai.v35i10.17063.
Повний текст джерелаZhang, Yu, and Dit-Yan Yeung. "Multi-Task Learning in Heterogeneous Feature Spaces." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 574–79. http://dx.doi.org/10.1609/aaai.v25i1.7909.
Повний текст джерелаXu, Huatao, Pengfei Zhou, Rui Tan, Mo Li, and Guobin Shen. "LIMU-BERT." GetMobile: Mobile Computing and Communications 26, no. 3 (October 7, 2022): 39–42. http://dx.doi.org/10.1145/3568113.3568124.
Повний текст джерелаJha, Ritesh, Vandana Bhattacharjee, and Abhijit Mustafi. "Transfer Learning with Feature Extraction Modules for Improved Classifier Performance on Medical Image Data." Scientific Programming 2022 (August 23, 2022): 1–10. http://dx.doi.org/10.1155/2022/4983174.
Повний текст джерелаAnam, Mamoona, Dr Kantilal P. Rane, Ali Alenezi, Ruby Mishra, Dr Swaminathan Ramamurthy, and Ferdin Joe John Joseph. "Content Classification Tasks with Data Preprocessing Manifestations." Webology 19, no. 1 (January 20, 2022): 1413–30. http://dx.doi.org/10.14704/web/v19i1/web19094.
Повний текст джерелаYuan, Zixuan, Hao Liu, Renjun Hu, Denghui Zhang, and Hui Xiong. "Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4644–52. http://dx.doi.org/10.1609/aaai.v35i5.16594.
Повний текст джерелаHeyes, C. M., and C. L. Foster. "Motor learning by observation: Evidence from a serial reaction time task." Quarterly Journal of Experimental Psychology Section A 55, no. 2 (April 2002): 593–607. http://dx.doi.org/10.1080/02724980143000389.
Повний текст джерелаNishida, Satoshi, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, and Shinji Nishimoto. "Brain-Mediated Transfer Learning of Convolutional Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5281–88. http://dx.doi.org/10.1609/aaai.v34i04.5974.
Повний текст джерелаRAJENDRAN, SRIVIDHYA, and MANFRED HUBER. "LEARNING TASK-SPECIFIC SENSING, CONTROL AND MEMORY POLICIES." International Journal on Artificial Intelligence Tools 14, no. 01n02 (February 2005): 303–27. http://dx.doi.org/10.1142/s0218213005002119.
Повний текст джерелаSun, Kai, Richong Zhang, Samuel Mensah, Yongyi Mao, and Xudong Liu. "Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 15 (May 18, 2021): 13851–59. http://dx.doi.org/10.1609/aaai.v35i15.17632.
Повний текст джерелаZhao, Jiabao, Yifan Yang, Xin Lin, Jing Yang, and Liang He. "Looking Wider for Better Adaptive Representation in Few-Shot Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10981–89. http://dx.doi.org/10.1609/aaai.v35i12.17311.
Повний текст джерелаKumar, Sajit, Alicia Nanelia, Ragunathan Mariappan, Adithya Rajagopal, and Vaibhav Rajan. "Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study." JMIR Medical Informatics 10, no. 1 (January 20, 2022): e28842. http://dx.doi.org/10.2196/28842.
Повний текст джерелаGong, Letian, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, and Huaiyu Wan. "Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4276–83. http://dx.doi.org/10.1609/aaai.v37i4.25546.
Повний текст джерелаLu, Yuxun, and Ryutaro Ichise. "ProtoE: Enhancing Knowledge Graph Completion Models with Unsupervised Type Representation Learning." Information 13, no. 8 (July 25, 2022): 354. http://dx.doi.org/10.3390/info13080354.
Повний текст джерелаQin, Libo, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, and Ting Liu. "Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 4 (July 31, 2022): 1–17. http://dx.doi.org/10.1145/3502198.
Повний текст джерелаReinert, Sandra, Mark Hübener, Tobias Bonhoeffer, and Pieter M. Goltstein. "Mouse prefrontal cortex represents learned rules for categorization." Nature 593, no. 7859 (April 21, 2021): 411–17. http://dx.doi.org/10.1038/s41586-021-03452-z.
Повний текст джерелаJung, Jinhong, Jaemin Yoo, and U. Kang. "Signed random walk diffusion for effective representation learning in signed graphs." PLOS ONE 17, no. 3 (March 17, 2022): e0265001. http://dx.doi.org/10.1371/journal.pone.0265001.
Повний текст джерелаChambers, Claire, Hugo Fernandes, and Konrad Paul Kording. "Policies or knowledge: priors differ between a perceptual and sensorimotor task." Journal of Neurophysiology 121, no. 6 (June 1, 2019): 2267–75. http://dx.doi.org/10.1152/jn.00035.2018.
Повний текст джерелаRusso, Alessio, and Alexandre Proutiere. "On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (June 26, 2023): 9658–67. http://dx.doi.org/10.1609/aaai.v37i8.26155.
Повний текст джерелаLiu, Fenglin, Xian Wu, Shen Ge, Wei Fan, and Yuexian Zou. "Federated Learning for Vision-and-Language Grounding Problems." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11572–79. http://dx.doi.org/10.1609/aaai.v34i07.6824.
Повний текст джерелаAnderson, Brian A., and Haena Kim. "On the representational nature of value-driven spatial attentional biases." Journal of Neurophysiology 120, no. 5 (November 1, 2018): 2654–58. http://dx.doi.org/10.1152/jn.00489.2018.
Повний текст джерелаWang, Zhongming, Jiahui Dong, Lianlian Wu, Chong Dai, Jing Wang, Yuqi Wen, Yixin Zhang, Xiaoxi Yang, Song He, and Xiaochen Bo. "DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning." Molecules 28, no. 2 (January 14, 2023): 844. http://dx.doi.org/10.3390/molecules28020844.
Повний текст джерелаSong, Kaisong, Yangyang Kang, Jiawei Liu, Xurui Li, Changlong Sun, and Xiaozhong Liu. "A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 13582–90. http://dx.doi.org/10.1609/aaai.v37i11.26592.
Повний текст джерелаLeón, Fabian, and Fabio Martínez. "A multitask deep representation for Gleason score classification to support grade annotations." Biomedical Physics & Engineering Express 8, no. 3 (April 8, 2022): 035021. http://dx.doi.org/10.1088/2057-1976/ac60c4.
Повний текст джерелаXu, Yao, Xueshuang Xiang, and Meiyu Huang. "Task-Driven Common Representation Learning via Bridge Neural Network." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5573–80. http://dx.doi.org/10.1609/aaai.v33i01.33015573.
Повний текст джерелаTrofimov, Assya, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault, and Sébastien Lemieux. "Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition." Bioinformatics 36, Supplement_1 (July 1, 2020): i417—i426. http://dx.doi.org/10.1093/bioinformatics/btaa488.
Повний текст джерелаZhang, Liyi, Zengguang Tian, Yi Tang, and Zuo Jiang. "Task-Covariant Representations for Few-Shot Learning on Remote Sensing Images." Mathematics 11, no. 8 (April 19, 2023): 1930. http://dx.doi.org/10.3390/math11081930.
Повний текст джерелаDUNN, JONATHAN. "Computational learning of construction grammars." Language and Cognition 9, no. 2 (March 28, 2016): 254–92. http://dx.doi.org/10.1017/langcog.2016.7.
Повний текст джерелаGuo, Yiyou, and Chao Wei. "Multi-Task Learning Using Gradient Balance and Clipping with an Application in Joint Disparity Estimation and Semantic Segmentation." Electronics 11, no. 8 (April 12, 2022): 1217. http://dx.doi.org/10.3390/electronics11081217.
Повний текст джерелаLampinen, Andrew K., and James L. McClelland. "Transforming task representations to perform novel tasks." Proceedings of the National Academy of Sciences 117, no. 52 (December 10, 2020): 32970–81. http://dx.doi.org/10.1073/pnas.2008852117.
Повний текст джерелаSitaula, Chiranjibi, Anish Basnet, and Sunil Aryal. "Vector representation based on a supervised codebook for Nepali documents classification." PeerJ Computer Science 7 (March 3, 2021): e412. http://dx.doi.org/10.7717/peerj-cs.412.
Повний текст джерелаJaiswal, Mimansa, and Emily Mower Provost. "Privacy Enhanced Multimodal Neural Representations for Emotion Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7985–93. http://dx.doi.org/10.1609/aaai.v34i05.6307.
Повний текст джерелаCerda, Vanessa R., Paola Montufar Soria, and Nicole Y. Wicha. "Reevaluating the Language of Learning Advantage in Bilingual Arithmetic: An ERP Study on Spoken Multiplication Verification." Brain Sciences 12, no. 5 (April 21, 2022): 532. http://dx.doi.org/10.3390/brainsci12050532.
Повний текст джерелаLu, Wenpeng, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, and Heyan Huang. "Sentence Semantic Matching Based on 3D CNN for Human–Robot Language Interaction." ACM Transactions on Internet Technology 21, no. 4 (July 16, 2021): 1–24. http://dx.doi.org/10.1145/3450520.
Повний текст джерелаZeng, Te, and Francis C. M. Lau. "Automatic Melody Harmonization via Reinforcement Learning by Exploring Structured Representations for Melody Sequences." Electronics 10, no. 20 (October 11, 2021): 2469. http://dx.doi.org/10.3390/electronics10202469.
Повний текст джерелаClegg, Benjamin A. "Stimulus-Specific Sequence Representation in Serial Reaction Time Tasks." Quarterly Journal of Experimental Psychology Section A 58, no. 6 (August 2005): 1087–101. http://dx.doi.org/10.1080/02724980443000485.
Повний текст джерелаVangheluwe, Sophie, Nicole Wenderoth, and Stephan P. Swinnen. "Learning and Transfer of an Ipsilateral Coordination Task: Evidence for a Dual-layer Movement Representation." Journal of Cognitive Neuroscience 17, no. 9 (September 2005): 1460–70. http://dx.doi.org/10.1162/0898929054985392.
Повний текст джерелаChen, Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, and Eng Siong Chng. "Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 12607–15. http://dx.doi.org/10.1609/aaai.v37i11.26484.
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