Learning Paradigms

Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning ACL 2023 Noisy Correspondence Learning With Meta Similarity Correction CVPR 2023 Non-compositional Expression Generation Based on Curriculum Learning and Continual Learning EMNLP 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 On Biased Compression for Distributed Learning JMLR 2023 One-Shot and Few-Shot Exemplification Modeling EMNLP 2023 One-Shot Federated Conformal Prediction ICML 2023 One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 Online Control for Meta-optimization NeurIPS 2023 Online Prototype Alignment for Few-shot Policy Transfer ICML 2023 On Penalty-based Bilevel Gradient Descent Method ICML 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 On the Effectiveness of Curriculum Learning in Educational Text Scoring AAAI 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling IJCAI 2023 Optimistic Meta-Gradients NeurIPS 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023