Meta-Learning

Mixed-Effect Thompson Sampling AISTATS 2023 M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation ICLR 2023 Model-agnostic Measure of Generalization Difficulty ICML 2023 MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023 MoT: Memory-of-Thought Enables ChatGPT to Self-Improve EMNLP 2023 MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning EMNLP 2023 Multi-Agent Automated Machine Learning CVPR 2023 Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NeurIPS 2023 Multi-Domain Generalized Graph Meta Learning AAAI 2023 Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation ICML 2023 Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search AutoML 2023 Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning ACL 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023 Neural Architecture Search for Visual Anomaly Segmentation AutoML 2023 Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023 Noisy Correspondence Learning With Meta Similarity Correction CVPR 2023 Nonparametric Iterative Machine Teaching ICML 2023 Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023 Online Constrained Meta-Learning: Provable Guarantees for Generalization NeurIPS 2023 Online Control for Meta-optimization NeurIPS 2023 On Penalty-based Bilevel Gradient Descent Method ICML 2023 On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NeurIPS 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023