efficient computing

Training-free and Adaptive Sparse Attention for Efficient Long Video Generation ICCV 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025 TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree ICML 2025 TurboVSR: Fantastic Video Upscalers and Where to Find Them ICCV 2025 Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking AAAI 2025 Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers ICCV 2025 VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding CVPR 2025 VisionZip: Longer is Better but Not Necessary in Vision Language Models CVPR 2025 VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network CVPR 2025 Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning EMNLP 2025 When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs EMNLP 2025 Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers WACV 2025 W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models ICLR 2025 Zero-shot Quantization: A Comprehensive Survey IJCAI 2025 ZETA: Leveraging Z-order Curves for Efficient Top-k Attention ICLR 2025 ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty COLING 2025 dattri: A Library for Efficient Data Attribution NeurIPS 2024 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers ICML 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024 Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? ICLR 2024