Model Compression

Compressible-composable NeRF via Rank-residual Decomposition NeurIPS 2022 Compressing Models With Few Samples: Mimicking Then Replacing CVPR 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 Control Prefixes for Parameter-Efficient Text Generation EMNLP 2022 Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022 COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022 DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization CVPR 2022 Dataset Distillation by Matching Training Trajectories CVPR 2022 Dataset Distillation using Neural Feature Regression NeurIPS 2022 Debiasing Masks: A New Framework for Shortcut Mitigation in NLU EMNLP 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 DeeCap: Dynamic Early Exiting for Efficient Image Captioning CVPR 2022 Deep Compression of Pre-trained Transformer Models NeurIPS 2022 DeepHardMark: Towards Watermarking Neural Network Hardware AAAI 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022 Deep Model Reassembly NeurIPS 2022 DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale ICML 2022 Developing Prefix-Tuning Models for Hierarchical Text Classification EMNLP 2022 DictFormer: Tiny Transformer with Shared Dictionary ICLR 2022 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation IJCAI 2022 Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model ACL 2022 DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ACL 2022