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Transfer Learning using Representation Learning in Massive Open Online Courses.

, , , and . LAK, page 145-154. ACM, (2019)

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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization., , , and . NeurIPS, (2022)Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses., , , and . LAK, page 135-144. ACM, (2019)First-passage time distribution for random walks on complex networks using inverse Laplace transform and mean-field approximation., and . CoRR, (2018)VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization., , , , , , and . NeurIPS, page 6733-6746. (2021)Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs., , and . CoRR, (2020)Transfer Learning using Representation Learning in Massive Open Online Courses., , , and . CoRR, (2018)GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3709-3717. PMLR, (2021)Transfer Learning using Representation Learning in Massive Open Online Courses., , , and . LAK, page 145-154. ACM, (2019)FLAG: Adversarial Data Augmentation for Graph Neural Networks., , , , , , , and . CoRR, (2020)Benchmarking the Robustness of Image Watermarks., , , , , , , , , and 1 other author(s). CoRR, (2024)