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M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning.

, and . Domain Adaptation for Visual Understanding, Springer, (2020)

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An Analysis of the Adaptation Speed of Causal Models., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 775-783. PMLR, (2021)A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage., , and . ICDE, page 149-160. IEEE Computer Society, (2018)Fast Online Node Labeling for Very Large Graphs., , and . CoRR, (2023)M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning., and . Domain Adaptation for Visual Understanding, Springer, (2020)Online variance-reducing optimization., , and . ICLR (Workshop), OpenReview.net, (2018)Reducing the variance in online optimization by transporting past gradients., , , , and . NeurIPS, page 5392-5403. (2019)Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence., , , , and . CoRR, (2015)Manifold Preserving Adversarial Learning., , and . CoRR, (2019)Noise-adaptive (Accelerated) Stochastic Heavy-Ball Momentum., , and . CoRR, (2024)Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields., , , , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)