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Methodology
← Learning Paradigms
Machine Learning
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Learning Paradigms
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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
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
NAACL 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
NAACL 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
NIPS 2024
Domain Prompt Learning with Quaternion Networks
CVPR 2024
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks
EACL 2024
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
EMNLP 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
EMNLP 2024
Fast Forwarding Low-Rank Training
EMNLP 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
NIPS 2024
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
CVPR 2024
Learning from Synthetic Human Group Activities
CVPR 2024
ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
CVPR 2023
Large Language Models Struggle to Learn Long-Tail Knowledge
ICML 2023
In Search for a Generalizable Method for Source Free Domain Adaptation
ICML 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
CVPR 2023
Open-Set Representation Learning Through Combinatorial Embedding
CVPR 2023
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer
EMNLP 2023
A Data-Based Perspective on Transfer Learning
CVPR 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
EMNLP 2023
Prompt2Model: Generating Deployable Models from Natural Language Instructions
EMNLP 2023
Leveraging Proxy of Training Data for Test-Time Adaptation
ICML 2023
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
EMNLP 2023
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