Learning Paradigms

MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation CVPR 2021 Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021 Meta Gradient Adversarial Attack ICCV 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 Meta Label Correction for Noisy Label Learning AAAI 2021 Meta Learning and Its Applications to Natural Language Processing ACL 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021 Meta Learning for Causal Direction AAAI 2021 Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 Meta-Learning of Structured Task Distributions in Humans and Machines ICLR 2021 Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021 Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks NeurIPS 2021 Meta-Learning to Compositionally Generalize ACL 2021 Meta-learning to Improve Pre-training NeurIPS 2021 Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021 Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021 MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision EMNLP 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NeurIPS 2021 Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization EMNLP 2021