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conftrace_

efficient computing

820 papers

EC

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