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Artificial Intelligence
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Learning Paradigms
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning
NAACL 2021
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization
NAACL 2021
On the logistical difficulties and findings of Jopara Sentiment Analysis
NAACL 2021
MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features
NAACL 2021
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural Networks
NAACL 2021
Active learning and negative evidence for language identification
NAACL 2021
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA
NAACL 2021
Classification of Censored Tweets in Chinese Language using XLNet
NAACL 2021
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation Models
NAACL 2021
SIGTYP 2021 Shared Task: Robust Spoken Language Identification
NAACL 2021
BERT based Adverse Drug Effect Tweet Classification
NAACL 2021
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning
RSS 2021
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments
RSS 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
RSS 2021
SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC)
SEMEVAL 2021
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
SEMEVAL 2021
SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task
SEMEVAL 2021
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction
SEMEVAL 2021
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions
SEMEVAL 2021
THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation
SEMEVAL 2021
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
SEMEVAL 2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
SEMEVAL 2021
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging
SEMEVAL 2021
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation
SEMEVAL 2021
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers
SEMEVAL 2021
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