transfer learning

Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021 Rethinking Channel Dimensions for Efficient Model Design CVPR 2021 Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm NAACL 2021 Rethinking Neural Operations for Diverse Tasks NeurIPS 2021 Rethinking Why Intermediate-Task Fine-Tuning Works EMNLP 2021 [RETRACTED] Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training ACL 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting ResNets: Improved Training and Scaling Strategies NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract) IJCAI 2021 Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval EMNLP 2021 Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model AAAI 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages EMNLP 2021 ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021 RPN Prototype Alignment for Domain Adaptive Object Detector CVPR 2021 SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN NAACL 2021 SB_NITK at MEDIQA 2021: Leveraging Transfer Learning for Question Summarization in Medical Domain NAACL 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Scalable Diverse Model Selection for Accessible Transfer Learning NeurIPS 2021 Scalable Neural Data Server: A Data Recommender for Transfer Learning NeurIPS 2021 Scalable Transfer Learning with Expert Models ICLR 2021 Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network AAAI 2021