Meta-Learning

Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalization in Text-based Games via Hierarchical Reinforcement Learning EMNLP 2021 GENSYNTH: Synthesizing Datalog Programs without Language Bias AAAI 2021 GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021 GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021 Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021 Homogeneous Architecture Augmentation for Neural Predictor ICCV 2021 IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning ICLR 2021 Improved Meta-Learning Training for Speaker Verification Interspeech 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification CVPR 2021 Knowledge-Adaptation Priors NeurIPS 2021 Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021 Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning-Based Image Registration With Meta-Regularization CVPR 2021 Learning Fast Sample Re-Weighting Without Reward Data ICCV 2021 Learning Robust State Abstractions for Hidden-Parameter Block MDPs ICLR 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation NeurIPS 2021