Meta-Learning

Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021 RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation EMNLP 2021 Self-Domain Adaptation for Face Anti-Spoofing AAAI 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021 Self-Supervised Video Representation Learning With Meta-Contrastive Network ICCV 2021 Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021 Semi-Supervised Learning with Meta-Gradient AISTATS 2021 Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021 Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021 Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer ACL 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning NeurIPS 2021 Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021 Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021 Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021 Teaching with Commentaries ICLR 2021 Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021 Test-Time Personalization with a Transformer for Human Pose Estimation NeurIPS 2021 Theoretical bounds on estimation error for meta-learning ICLR 2021 The Sample Complexity of Meta Sparse Regression AISTATS 2021 The Task Specification Problem CoRL 2021