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Generative Adversarial Networks for Video Prediction with Action Controlsarial inference model and a cycle-consistency loss function to empower the framework to obtain more accurate predictions. In addition, we incorporate a conformal mapping network structure into VPGAN to enable action control for generating desirable future frames. In this way, VPGAN is able to produCRANK 发表于 2025-3-22 01:10:45
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Curriculum Learning Strategies for Hindi-English Code-Mixed Sentiment Analysisantic tasks in code-mixed Hindi-English (Hi-En) texts, and investigate various training strategies for enhancing model performance. Our method outperforms the state of the art methods for Hi-En code-mixed sentiment analysis by 3.31% accuracy, and also shows better model robustness in terms of converadjacent 发表于 2025-3-22 10:00:47
Artificial Intelligence. IJCAI 2019 International WorkshopsMacao, China, Augustparoxysm 发表于 2025-3-22 16:18:31
Conference proceedings 2020 Deep Learning for Human Activity Recognition..HAI 2019:Second International Workshop on Humanizing AI..International Workshop on Language Sense on Computer..AISafety 2019: International Workshop on Artificial Intelligence Safety..DeLBP 2019: 4th International Workshop on Declarative Learning Basedinhumane 发表于 2025-3-22 20:37:01
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Introduction to Optimal Control,sarial inference model and a cycle-consistency loss function to empower the framework to obtain more accurate predictions. In addition, we incorporate a conformal mapping network structure into VPGAN to enable action control for generating desirable future frames. In this way, VPGAN is able to produIatrogenic 发表于 2025-3-23 05:06:38
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Feedback in Mathematical Algorithms,antic tasks in code-mixed Hindi-English (Hi-En) texts, and investigate various training strategies for enhancing model performance. Our method outperforms the state of the art methods for Hi-En code-mixed sentiment analysis by 3.31% accuracy, and also shows better model robustness in terms of conver