conftrace_

knowledge transfer

693 papers

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Also known as

KT

Co-occurring keywords · papers mentioning both

transfer learning (152) knowledge distillation (85) domain adaptation (66) large language model (52) model compression (50) continual learning (47) zero-shot learning (47) catastrophic forgetting (46) few-shot learning (42) multi-task learning (40)

Papers

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer AAAI 2024 CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024 Core-Structures-Guided Multi-Modal Classification Neural Architecture Search IJCAI 2024 Cross-modal Representation Flattening for Multi-modal Domain Generalization NeurIPS 2024 Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024 Deep Graph Mating NeurIPS 2024 DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024 Disentangling and mitigating the impact of task similarity for continual learning NeurIPS 2024 Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation EACL 2024 DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 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 EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition CVPR 2024 Evidence-guided Inference for Neutralized Zero-shot Transfer COLING 2024 Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning WACV 2024 Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models EMNLP 2024 Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024 Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection ACL 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024 Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models EMNLP 2024 Initializing Models with Larger Ones ICLR 2024