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Meta-Learning

1,038 papers

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Papers

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections EMNLP 2021 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection IJCAI 2021 Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition ICCV 2021 Adaptive Nearest Neighbor Machine Translation ACL 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 A Distribution-dependent Analysis of Meta Learning ICML 2021 Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021 A large-scale benchmark for few-shot program induction and synthesis ICML 2021 A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021 A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples Interspeech 2021 Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021 A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting AAAI 2021 AutoBandit: A Meta Bandit Online Learning System IJCAI 2021 Automated Concatenation of Embeddings for Structured Prediction ACL 2021 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 AutoText: An End-to-End AutoAI Framework for Text AAAI 2021 Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021 Bias-tolerant Fair Classification ACML 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design ICML 2021 BN-NAS: Neural Architecture Search With Batch Normalization ICCV 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Can We Characterize Tasks Without Labels or Features? CVPR 2021