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Transfer Learning

8,172 papers

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Papers

SarcasmDet at SemEval-2021 Task 7: Detect Humor and Offensive based on Demographic Factors using RoBERTa Pre-trained Model SemEval 2021 SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles ACL 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 Scientific Claim Verification with VerT5erini EACL 2021 Scientific Discourse Tagging for Evidence Extraction EACL 2021 SDM-Net: A simple and effective model for generalized zero-shot learning UAI 2021 Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks NAACL 2021 Segmental Alignment of English Syllables with Singleton and Cluster Onsets Interspeech 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation SemEval 2021 Self-Domain Adaptation for Face Anti-Spoofing AAAI 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents NAACL 2021 Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021 Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Self-Supervised Pillar Motion Learning for Autonomous Driving CVPR 2021 Self-Supervised Real-to-Sim Scene Generation ICCV 2021 Self-training For Few-shot Transfer Across Extreme Task Differences ICLR 2021 Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling EACL 2021 Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021 Self-Tuning for Data-Efficient Deep Learning ICML 2021