flops reduction

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts EMNLP 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NeurIPS 2023 Structural Pruning for Diffusion Models NeurIPS 2023 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT ACL 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022 Patch Slimming for Efficient Vision Transformers CVPR 2022 Width & Depth Pruning for Vision Transformers AAAI 2022 Chasing Sparsity in Vision Transformers: An End-to-End Exploration NeurIPS 2021 Motion-Aware Dynamic Architecture for Efficient Frame Interpolation ICCV 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021 Towards Compact CNNs via Collaborative Compression CVPR 2021 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Feature Statistics Guided Efficient Filter Pruning IJCAI 2020 Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing NeurIPS 2020 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Sparse Weight Activation Training NeurIPS 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 Efficient Neural Network Compression CVPR 2019 Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration CVPR 2019 HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs CVPR 2019 Importance Estimation for Neural Network Pruning CVPR 2019 More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation NeurIPS 2019