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Near-infrared optoelectronic synapses based on a Te/α-In2Se3 heterojunction for neuromorphic computing.

, , , , , , , , , , and . Sci. China Inf. Sci., (June 2023)

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Learning from Multi-annotator Data: A Noise-aware Classification Framework., , , and . ACM Trans. Inf. Syst., 37 (2): 26:1-26:28 (2019)Near-infrared optoelectronic synapses based on a Te/α-In2Se3 heterojunction for neuromorphic computing., , , , , , , , , and 1 other author(s). Sci. China Inf. Sci., (June 2023)Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios., , , , , , and . CoRR, (2022)Asymptotic optimality for active learning processes., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 2342-2352. PMLR, (2022)ALdataset: a benchmark for pool-based active learning., and . CoRR, (2020)A Comparative Survey: Benchmarking for Pool-based Active Learning., , , and . IJCAI, page 4679-4686. ijcai.org, (2021)A Comparative Survey of Deep Active Learning., , , , , and . CoRR, (2022)Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes., , and . CoRR, (2021)Deep Active Learning with Noise Stability., , , , , , and . AAAI, page 13655-13663. AAAI Press, (2024)A Network Framework for Noisy Label Aggregation in Social Media., , , , , , and . ACL (2), page 484-490. Association for Computational Linguistics, (2017)