parameter efficient

AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation EMNLP 2023 Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer EMNLP 2023 Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023 Attribute Controlled Dialogue Prompting ACL 2023 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Decoder Tuning: Efficient Language Understanding as Decoding ACL 2023 DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework EMNLP 2023 Dual-Path Adaptation From Image to Video Transformers CVPR 2023 Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing NeurIPS 2023 FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification ICLR 2023 GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model ACL 2023 G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023 Improving Visual Prompt Tuning for Self-supervised Vision Transformers ICML 2023 Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023 Low-Rank Updates of pre-trained Weights for Multi-Task Learning ACL 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning ACL 2023 Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NeurIPS 2023 Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023 Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023 Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023 Scaling Vision-Language Models with Sparse Mixture of Experts EMNLP 2023 Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models ACL 2023 TADA : Task Agnostic Dialect Adapters for English ACL 2023 Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023