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Learning to select pseudo labels: a semi-supervised method for named entity recognition.

, , , and . Frontiers Inf. Technol. Electron. Eng., 21 (6): 903-916 (2020)

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Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning., , , and . HPCC/DSS/SmartCity, page 312-319. IEEE, (2020)Progressive Diversifying Policy for Multi-Agent Reinforcement Learning., , , , and . ICASSP, page 1-5. IEEE, (2023)Pseudo Reward and Action Importance Classification for Sparse Reward Problem., , , , and . ICMLC, page 51-58. ACM, (2022)Deep reinforcement learning: a survey., , , , , , and . Frontiers Inf. Technol. Electron. Eng., 21 (12): 1726-1744 (2020)Collaborative deep learning across multiple data centers., , , , , , , and . Sci. China Inf. Sci., 63 (8): 1-11 (2020)Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction., , , , , and . ICASSP, page 7130-7134. IEEE, (2019)A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model., , , , , , , , and . IJCAI, page 6554-6556. ijcai.org, (2019)Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning., , , , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 8 (2): 1181-1193 (April 2024)A Distributed Topic Model for Large-Scale Streaming Text., , , and . KSEM (2), volume 11776 of Lecture Notes in Computer Science, page 37-48. Springer, (2019)Influential Factors and Correction Method of Furfural Content in Transformer Oil., , , and . IEEE Access, (2019)