Co-occurring keywords · papers mentioning both
Papers
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
ICCV 2025
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
ICCV 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
AAAI 2025
BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
ICLR 2025
Boosting Vision State Space Model with Fractal Scanning
AAAI 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
ICCV 2025
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction
CVPR 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
WACV 2025
Compression-Aware Computing for Scalable and Sustainable AI
AAAI 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
Conical Visual Concentration for Efficient Large Vision-Language Models
CVPR 2025
ConvMixFormer- A Resource-Efficient Convolution Mixer for Transformer-Based Dynamic Hand Gesture Recognition
WACV 2025
Cost-Optimal Grouped-Query Attention for Long-Context Modeling
EMNLP 2025
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
CVPR 2025
Demystifying Small Language Models for Edge Deployment
ACL 2025
Designing Concise ConvNets with Columnar Stages
ICLR 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
CVPR 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 2025
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
CVPR 2025
DocMamba: Efficient Document Pre-training with State Space Model
AAAI 2025
Does quantization affect models’ performance on long-context tasks?
EMNLP 2025
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
AAAI 2025
DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
EMNLP 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
ICLR 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
EMNLP 2025