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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
Generalizable Sarcasm Detection is Just Around the Corner, of Course!
NAACL 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
NAACL 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
EACL 2024
A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages
NAACL 2024
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract)
AAAI 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NIPS 2024
Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language
NAACL 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
AAAI 2024
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
CVPR 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
AAAI 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
NAACL 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation
AAAI 2024
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
NAACL 2024
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
CVPR 2024
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
AAAI 2024
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
AAAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
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