Learning Paradigms

Model-Contrastive Federated Learning CVPR 2021 Model Linkage Selection for Cooperative Learning JMLR 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021 Neural Architecture Search without Training ICML 2021 Noether Networks: meta-learning useful conserved quantities NeurIPS 2021 Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021 On Data Efficiency of Meta-learning AISTATS 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021 On the Role of Corpus Ordering in Language Modeling EMNLP 2021 Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 Optimizing Reusable Knowledge for Continual Learning via Metalearning NeurIPS 2021 PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NeurIPS 2021