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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

Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work IJCNLP 2022
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation NAACL 2022
On the Use of Bert for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation NAACL 2022
Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022
SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model SEMEVAL 2022
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning NAACL 2022
Knowledge transfer for learning subject-specific causal models PGM 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022
What Makes for Effective Few-Shot Point Cloud Classification? WACV 2022
IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers SEMEVAL 2022
Extractive Knowledge Distillation WACV 2022
Transfer Learning for Pose Estimation of Illustrated Characters WACV 2022
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing NAACL 2022
IDPG: An Instance-Dependent Prompt Generation Method NAACL 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022
Time Waits for No One! Analysis and Challenges of Temporal Misalignment NAACL 2022
Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging MIDL 2022
Self-Supervised Transformers for fMRI representation MIDL 2022
Learning Stable Classifiers by Transferring Unstable Features ICML 2022
Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022
Active Multi-Task Representation Learning ICML 2022
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022
A Study of Face Obfuscation in ImageNet ICML 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022