knowledge transfer

647 papers

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Also known as

KTP KT

Co-occurring keywords

transfer learning (5442) knowledge distillation (3680) domain adaptation (4578) large language model (12755) model compression (3283) zero-shot learning (3637) continual learning (1164) few-shot learning (3390) catastrophic forgetting (939) representation learning (6174)

Papers

DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024

Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NIPS 2024

Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi COLING 2024

Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge NAACL 2024

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024

Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation EACL 2024

Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection ACL 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024

Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures INTERSPEECH 2024

Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024

Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024

Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024

Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning WACV 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024

EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024

Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024

Federated Graph Learning for Cross-Domain Recommendation NIPS 2024

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation ACL 2024