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Learning Paradigms

2,205 papers (6 classified directly here)

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Papers (including subtopics)

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021 Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning IJCAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021 Hierarchical Class-Based Curriculum Loss IJCAI 2021 Homogeneous Architecture Augmentation for Neural Predictor ICCV 2021 IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning ICLR 2021 Improved Meta-Learning Training for Speaker Verification Interspeech 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NeurIPS 2021 Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021 Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification CVPR 2021 Knowledge-Adaptation Priors NeurIPS 2021 Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021 Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 Learned Initializations for Optimizing Coordinate-Based Neural Representations CVPR 2021 Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts AAAI 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning-Based Image Registration With Meta-Regularization CVPR 2021 Learning Fast Sample Re-Weighting Without Reward Data ICCV 2021 Learning from History for Byzantine Robust Optimization ICML 2021