conftrace_
← Keywords

transfer learning

5449 papers

Explore in graph

Also known as

TL

Co-occurring keywords

domain adaptation (4595) text classification (6793) representation learning (6206) few-shot learning (3398) multi-task learning (2575) language model (4599) low-resource language (2273) zero-shot learning (3650) knowledge distillation (3725) large language model (13587)

Papers

OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter ACL 2021
SimpleNER Sentence Simplification System for GEM 2021 ACL 2021
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task ACL 2021
JUST-BLUE at SemEval-2021 Task 1: Predicting Lexical Complexity using BERT and RoBERTa Pre-trained Language Models ACL 2021
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. ACL 2021
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning ACL 2021
Improved pronunciation prediction accuracy using morphology ACL 2021
Transferable Dialogue Systems and User Simulators ACL 2021
BERT based Adverse Drug Effect Tweet Classification NAACL 2021
Adversarial Learning for Zero-Shot Stance Detection on Social Media NAACL 2021
Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction ACL 2021
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing ACL 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning NIPS 2021
Investigating label suggestions for opinion mining in German Covid-19 social media ACL 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NIPS 2021
Representation Learning Beyond Linear Prediction Functions NIPS 2021
Domain Invariant Representation Learning with Domain Density Transformations NIPS 2021
Towards Enabling Meta-Learning from Target Models NIPS 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations NIPS 2021