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Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator.

, , , , , and . IEEA, page 82-87. ACM, (2018)

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Distill and Fine-tune: Effective Adaptation from a Black-box Source Model., , , and . CoRR, (2021)Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6028-6039. PMLR, (2020)Influence of Non-equilibrium Condensation on key Parameter of Gas Wave Refrigerator., , , , , and . IEEA, page 82-87. ACM, (2018)An improved reinforcement learning approach to solve flow job scheduling problems., , and . HPCC/DSS/SmartCity, page 538-544. IEEE, (2020)Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation., , , and . ICML, OpenReview.net, (2024)Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 8602-8617 (2022)Domain Adaptation With Auxiliary Target Domain-Oriented Classifier., , and . CVPR, page 16632-16642. Computer Vision Foundation / IEEE, (2021)Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner., , , , and . IEEE Trans. Image Process., (2021)Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning., , , , and . NeurIPS, page 29848-29860. (2021)No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data., , , , , and . NeurIPS, page 5972-5984. (2021)