knowledge transfer

Exploring Multitask Learning for Low-Resource Abstractive Summarization EMNLP 2021 Federated Continual Learning with Weighted Inter-client Transfer ICML 2021 Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks EMNLP 2021 Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NeurIPS 2021 Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021 Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021 GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients AAAI 2021 HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish EACL 2021 Improving Sequential Recommendation Consistency with Self-Supervised Imitation IJCAI 2021 Improving Unsupervised Question Answering via Summarization-Informed Question Generation EMNLP 2021 Inference Fusion with Associative Semantics for Unseen Object Detection AAAI 2021 Knowledge Mining and Transferring for Domain Adaptive Object Detection ICCV 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021 Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning to Pre-train Graph Neural Networks AAAI 2021 Learning to Synthesize Data for Semantic Parsing NAACL 2021 Leveraging Public Data for Practical Private Query Release ICML 2021 Lifelong Event Detection with Knowledge Transfer EMNLP 2021 Lifelong Learning of Compositional Structures ICLR 2021 Lipschitz Lifelong Reinforcement Learning AAAI 2021 Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction EMNLP 2021 MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation IJCAI 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021