model compression

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023 FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023 FerKD: Surgical Label Adaptation for Efficient Distillation ICCV 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023 FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference ACL 2023 FIT: A Metric for Model Sensitivity ICLR 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023 FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023 Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023 Frame Flexible Network CVPR 2023 From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels ICCV 2023 Function-Consistent Feature Distillation ICLR 2023 Generating Behaviorally Diverse Policies with Latent Diffusion Models NeurIPS 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 Genie: Show Me the Data for Quantization CVPR 2023 GhostRNN: Reducing State Redundancy in RNN with Cheap Operations Interspeech 2023 GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model ACL 2023 GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates WACV 2023 Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023 GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming ICML 2023