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transfer learning

5449 papers

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TL

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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

Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024
DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning EMNLP 2024
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media EMNLP 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models EMNLP 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives EMNLP 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification EMNLP 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024
Weak-to-Strong Reasoning EMNLP 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models ACL 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing ACL 2024
Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory INTERSPEECH 2024
Model Editing by Standard Fine-Tuning ACL 2024
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning INTERSPEECH 2024
Efficient Integrated Features Based on Pre-trained Models for Speaker Verification INTERSPEECH 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024