Learning Paradigms

FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data Interspeech 2020 Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP 2020 Feature Deformation Meta-Networks in Image Captioning of Novel Objects AAAI 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction EMNLP 2020 Federated Adversarial Domain Adaptation ICLR 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 Federated Learning for Spoken Language Understanding COLING 2020 Federated Learning for Vision-and-Language Grounding Problems AAAI 2020 Federated Learning with Matched Averaging ICLR 2020 Federated Learning with Only Positive Labels ICML 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Federated Principal Component Analysis NeurIPS 2020 FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization AISTATS 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 Feedback-Based Self-Learning in Large-Scale Conversational AI Agents AAAI 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization AAAI 2020 Few-Cost Salient Object Detection with Adversarial-Paced Learning NeurIPS 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Few-Shot Class-Incremental Learning CVPR 2020