Learning Paradigms

Continual Federated Learning Based on Knowledge Distillation IJCAI 2022 Contrastive Conditional Neural Processes CVPR 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning AAAI 2022 Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition NAACL 2022 CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022 Crowdsourcing with Meta-Knowledge Transfer (Student Abstract) AAAI 2022 CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations EMNLP 2022 Curriculum-guided Abstractive Summarization for Mental Health Online Posts EMNLP 2022 Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis EMNLP 2022 Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization EMNLP 2022 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Curriculum Reinforcement Learning via Constrained Optimal Transport ICML 2022 DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022 Data Selection Curriculum for Neural Machine Translation EMNLP 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022 Decoupled Federated Learning for ASR with Non-IID Data Interspeech 2022 Decoupled Pronunciation and Prosody Modeling in Meta-Learning-based Multilingual Speech Synthesis Interspeech 2022 Deep and Flexible Graph Neural Architecture Search ICML 2022 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 DENSE: Data-Free One-Shot Federated Learning NeurIPS 2022 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022 Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022