transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions SEMEVAL 2024

DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024

OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SEMEVAL 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024

Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models SEMEVAL 2024

MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024

DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts SEMEVAL 2024

Analysis of Multi-Source Language Training in Cross-Lingual Transfer ACL 2024

NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages SEMEVAL 2024

Preparing Lessons for Progressive Training on Language Models AAAI 2024

Understanding and Leveraging the Learning Phases of Neural Networks AAAI 2024

More is Better: Deep Domain Adaptation with Multiple Sources IJCAI 2024

Emergent Communication for Numerical Concepts Generalization AAAI 2024

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning ACL 2024

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024

Cooperative Knowledge Distillation: A Learner Agnostic Approach 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

Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024

Few-Shot Learning via Repurposing Ensemble of Black-Box Models AAAI 2024

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery AAAI 2024

Reusing Transferable Weight Increments for Low-resource Style Generation EMNLP 2024

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns AAAI 2024

From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024