Learning Paradigms

What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022 You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation AAAI 2022 ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity ICLR 2022 Zero-shot AutoML with Pretrained Models ICML 2022 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning ICLR 2021 Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021 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 Curriculum Learning ICCV 2021 Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition ICCV 2021 Adaptive Nearest Neighbor Machine Translation ACL 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing Catastrophic Forgetting in Few-Shot Problems ICML 2021 Addressing Class Imbalance in Federated Learning AAAI 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 Secure and Efficient Federated Learning Framework for NLP EMNLP 2021