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transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification COLING 2020
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection AAAI 2020
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning COLING 2020
What is being transferred in transfer learning? NIPS 2020
Document Classification for COVID-19 Literature EMNLP 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation CVPR 2020
Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning CVPR 2020
12-in-1: Multi-Task Vision and Language Representation Learning CVPR 2020
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation CVPR 2020
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification CVPR 2020
Learning to Structure an Image With Few Colors CVPR 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation COLING 2020
Context-Aware Text Normalisation for Historical Dialects COLING 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher NIPS 2020
Developing a New Classifier for Automated Identification of Incivility in Social Media EMNLP 2020
What Do Neural Networks Learn When Trained With Random Labels? NIPS 2020
Co-Tuning for Transfer Learning NIPS 2020
Few-shot Image Generation with Elastic Weight Consolidation NIPS 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
On the Theory of Transfer Learning: The Importance of Task Diversity NIPS 2020
Do Adversarially Robust ImageNet Models Transfer Better? NIPS 2020