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transfer learning

5449 papers

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domain adaptation (4595) text classification (6793) representation learning (6206) few-shot learning (3398) multi-task learning (2575) language model (4599) low-resource language (2273) zero-shot learning (3650) knowledge distillation (3725) large language model (13587)

Papers

YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks SEMEVAL 2024
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts SEMEVAL 2024
Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models ACL 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval AAAI 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners AAAI 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024
Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation COLING 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024
Any-point Trajectory Modeling for Policy Learning RSS 2024
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024
Unveiling the Generalization Power of Fine-Tuned Large Language Models NAACL 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024
KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models COLING 2024
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English ACL 2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024
Emergent Communication for Numerical Concepts Generalization AAAI 2024
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024