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Neural Processes with Stochastic Attention: Paying more attention to the context dataset.

, , and . ICLR, OpenReview.net, (2022)

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Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1254-1264. PMLR, (2020)Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch., and . IEEE Access, (2022)Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network., , , , , and . AAAI, page 197-205. AAAI Press, (2023)Re-Thinking Federated Active Learning Based on Inter-Class Diversity., , , and . CVPR, page 3944-3953. IEEE, (2023)Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective., , , , , , and . EACL (Findings), page 158-175. Association for Computational Linguistics, (2023)Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks., , and . OPODIS, volume 286 of LIPIcs, page 20:1-20:25. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Preservation of the Global Knowledge by Not-True Distillation in Federated Learning., , , , and . NeurIPS, (2022)Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty., , , , , and . NeurIPS, (2022)Regret in Online Recommendation Systems., , , and . NeurIPS, (2020)Streaming, Memory Limited Algorithms for Community Detection., , and . NIPS, page 3167-3175. (2014)