adapter tuning

Learned Adapters Are Better Than Manually Designed Adapters ACL 2023 MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers EACL 2023 Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories ACL 2023 Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients EMNLP 2023 Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy ICCV 2023 shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters SemEval 2023 Task Residual for Tuning Vision-Language Models CVPR 2023 Translation-Enhanced Multilingual Text-to-Image Generation ACL 2023 CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction ACL 2022 Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention NAACL 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters EMNLP 2022 Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters EMNLP 2022 Lightweight Adapter Tuning for Multilingual Speech Translation ACL 2021 Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT EMNLP 2021 On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ACL 2021