Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Deep Learning
›
Learning Types
›
Fine-Tuning
704 directly classified papers
Papers per year
2014: 1
2016: 1
2017: 1
2018: 5
2019: 17
2020: 38
2021: 42
2022: 62
2023: 84
2024: 201
2025: 251
2026: 1
Papers
The Right Tool for the Job: Matching Model and Instance Complexities
ACL 2020
Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience
ACL 2020
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education
ACL 2020
Simultaneous paraphrasing and translation by fine-tuning Transformer models
ACL 2020
Better Fine-Tuning via Instance Weighting for Text Classification
AAAI 2019
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension
EMNLP 2019
BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations
EMNLP 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
CVPR 2019
Predicting Concrete and Abstract Entities in Modern Poetry
AAAI 2019
Training Neural Response Selection for Task-Oriented Dialogue Systems
ACL 2019
Long-Distance Dependencies Don’t Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations
ACL 2019
On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution
ACL 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
ACL 2019
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation
EMNLP 2019
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis
EMNLP 2019
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
EMNLP 2019
Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature
EMNLP 2019
Paraphrasing with Large Language Models
EMNLP 2019
NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT
EMNLP 2019
Enhancing BERT for Lexical Normalization
EMNLP 2019
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning
EMNLP 2019
UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models
EMNLP 2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
EMNLP 2018
Training Millions of Personalized Dialogue Agents
EMNLP 2018
Rapid Adaptation of Neural Machine Translation to New Languages
EMNLP 2018
<
1
…
25
26
27
28
29
>