AutoAL: Automated Active Learning with Differentiable Query Strategy Search.
CoRR, 2024
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders.
CoRR, 2024
Deep Active Learning with Noise Stability.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Near-infrared optoelectronic synapses based on a Te/α-In2Se3 heterojunction for neuromorphic computing.
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Sci. China Inf. Sci., June, 2023
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
Trans. Mach. Learn. Res., 2023
Deep Active Learning with Noise Stability.
CoRR, 2022
A Comparative Survey of Deep Active Learning.
CoRR, 2022
Asymptotic optimality for active learning processes.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes.
CoRR, 2021
A Comparative Survey: Benchmarking for Pool-based Active Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
ALdataset: a benchmark for pool-based active learning.
CoRR, 2020
Learning from Multi-annotator Data: A Noise-aware Classification Framework.
ACM Trans. Inf. Syst., 2019
A Network Framework for Noisy Label Aggregation in Social Media.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Sentiment and emotion classification over noisy labels.
Knowl. Based Syst., 2016