parameter efficient

Prompt-free and Efficient Few-shot Learning with Language Models ACL 2022 Quadapter: Adapter for GPT-2 Quantization EMNLP 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 ResectNet: An Efficient Architecture for Voice Activity Detection on Mobile Devices Interspeech 2022 Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters EMNLP 2022 When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism AAAI 2022 Counter-Interference Adapter for Multilingual Machine Translation EMNLP 2021 Meta-Learning Sparse Implicit Neural Representations NeurIPS 2021 Meta-Transfer Learning for Low-Resource Abstractive Summarization AAAI 2021 Multi-stage Pre-training over Simplified Multimodal Pre-training Models ACL 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Single-dataset Experts for Multi-dataset Question Answering EMNLP 2021 Task Switching Network for Multi-Task Learning ICCV 2021 Training Neural Networks with Fixed Sparse Masks NeurIPS 2021 What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021 12-in-1: Multi-Task Vision and Language Representation Learning CVPR 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020 A Study of Residual Adapters for Multi-Domain Neural Machine Translation EMNLP 2020 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Neural Epitome Search for Architecture-Agnostic Network Compression ICLR 2020 Partial Weight Adaptation for Robust DNN Inference CVPR 2020 Tensorized Embedding Layers EMNLP 2020 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NeurIPS 2020