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Machine Learning
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Transfer Learning
1113 directly classified papers
Papers per year
2003: 2
2005: 1
2006: 3
2007: 6
2008: 3
2009: 1
2010: 6
2011: 7
2012: 8
2013: 19
2014: 9
2015: 6
2016: 13
2017: 41
2018: 52
2019: 74
2020: 102
2021: 120
2022: 150
2023: 151
2024: 170
2025: 160
2026: 9
Papers
Dual-Path Adaptation From Image to Video Transformers
CVPR 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation
ACL 2023
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
ACL 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese
EMNLP 2023
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages
ACL 2023
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification
ACL 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
ICML 2023
Learning Temporally AbstractWorld Models without Online Experimentation
ICML 2023
Low-Resource Machine Translation Systems for Indic Languages
EMNLP 2023
Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB’s Effort for Bridging the Gap
EMNLP 2023
Data Augmentation for Low-Resource Keyphrase Generation
ACL 2023
Not Enough Data to Pre-train Your Language Model? MT to the Rescue!
ACL 2023
Towards Low-resource Language Generation with Limited Supervision
EMNLP 2023
Investigating Zero-shot Cross-lingual Language Understanding for Arabic
EMNLP 2023
Friend-training: Learning from Models of Different but Related Tasks
EACL 2023
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing
EACL 2023
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery
EMNLP 2023
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models
EMNLP 2023
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer
INTERSPEECH 2023
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers
EMNLP 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
EMNLP 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
Cross Encoding as Augmentation: Towards Effective Educational Text Classification
ACL 2023
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