Learning Paradigms

Federated Multi-Armed Bandits AAAI 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Federated Multi-Task Learning under a Mixture of Distributions NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning NeurIPS 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021 Federated stochastic gradient Langevin dynamics UAI 2021 FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021 Few-Round Learning for Federated Learning NeurIPS 2021 Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates ICLR 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021 Few-Shot Conformal Prediction with Auxiliary Tasks ICML 2021 Few Shot Dialogue State Tracking using Meta-learning EACL 2021 Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021 Few-Shot Image Generation via Cross-Domain Correspondence CVPR 2021 Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021 Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021 Few-Shot Keyword Spotting in Any Language Interspeech 2021 Few-shot Learning for Multi-label Intent Detection AAAI 2021 Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021 Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data EACL 2021 Few-Shot Learning of New Sound Classes for Target Sound Extraction Interspeech 2021 Few-shot learning through contextual data augmentation EACL 2021 Few-Shot Learning via Learning the Representation, Provably ICLR 2021 Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images IJCAI 2021