Learning Paradigms

Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training ACL 2023 Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples ACML 2023 Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NeurIPS 2023 Globally Consistent Federated Graph Autoencoder for Non-IID Graphs IJCAI 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages EMNLP 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers EMNLP 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NeurIPS 2023 Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs ICML 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 HuCurl: Human-induced Curriculum Discovery ACL 2023 Human-Timescale Adaptation in an Open-Ended Task Space ICML 2023 Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NeurIPS 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NeurIPS 2023 Hypernetworks for Zero-Shot Transfer in Reinforcement Learning AAAI 2023 Improving Bi-level Optimization Based Methods with Inspiration from Humans’ Classroom Study Techniques ICML 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Improving Language Plasticity via Pretraining with Active Forgetting NeurIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 In-Context Learning Creates Task Vectors EMNLP 2023 In-context Reinforcement Learning with Algorithm Distillation ICLR 2023