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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
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation
AAAI 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
AAAI 2024
Reusing Transferable Weight Increments for Low-resource Style Generation
EMNLP 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective
EMNLP 2024
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection
EMNLP 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
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
AAAI 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
JMLR 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
EACL 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches
SEMEVAL 2024
Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer
INTERSPEECH 2024
UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation
SEMEVAL 2024
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