feature reuse

Accelerating Controllable Generation via Hybrid-grained Cache AAAI 2026 Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep CVPR 2026 Sortblock: Similarity-Aware Feature Reuse for Diffusion Model AAAI 2026 Test-time Sparsity for Extreme Fast Action Diffusion CVPR 2026 BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers CVPR 2025 FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality ICLR 2025 Semantic Aware Representation Learning for Lifelong Learning ICLR 2025 Efficient Lightweight Image Denoising with Triple Attention Transformer AAAI 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation AAAI 2024 Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse NeurIPS 2024 Burst Image Restoration and Enhancement CVPR 2022 Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning ICML 2022 Proper Reuse of Image Classification Features Improves Object Detection CVPR 2022 What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors CVPR 2022 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning NeurIPS 2021 ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees NeurIPS 2021 ADNet: Adaptively Dense Convolutional Neural Networks WACV 2020 Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ICLR 2020 What is being transferred in transfer learning? NeurIPS 2020 Towards Visual Feature Translation CVPR 2019 Transfusion: Understanding Transfer Learning for Medical Imaging NeurIPS 2019 CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CVPR 2018 Mixed Link Networks IJCAI 2018 Densely Connected Convolutional Networks CVPR 2017