Learning Paradigms

Towards Sample-efficient Overparameterized Meta-learning NeurIPS 2021 Transfer Graph Neural Networks for Pandemic Forecasting AAAI 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning ACL 2021 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 When Do Curricula Work? ICLR 2021 Why and What to Teach: AI Curriculum for Elementary School AAAI 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 Zero-Shot Federated Learning with New Classes for Audio Classification Interspeech 2021 Z-Score Normalization, Hubness, and Few-Shot Learning ICCV 2021 Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020 A Closer Look at the Training Strategy for Modern Meta-Learning NeurIPS 2020 A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020 A Federated Approach in Training Acoustic Models Interspeech 2020 A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NeurIPS 2020 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms ICLR 2020 A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020 An Investigation of Few-Shot Learning in Spoken Term Classification Interspeech 2020 A Sample Complexity Separation between Non-Convex and Convex Meta-Learning ICML 2020 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020