conftrace_

efficient computing

781 papers

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EC

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model compression (3302) convolutional neural network (4226) neural network optimization (1293) large language model (13587) attention mechanism (4001) vision transformer (1106) neural network (6616) knowledge distillation (3725) neural architecture search (666) transformer architecture (1560)

Papers

Alignment for Efficient Tool Calling of Large Language Models EMNLP 2025
Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning EMNLP 2025
Importance-Based Token Merging for Efficient Image and Video Generation ICCV 2025
LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets WACV 2025
ConvMixFormer- A Resource-Efficient Convolution Mixer for Transformer-Based Dynamic Hand Gesture Recognition WACV 2025
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines ACL 2025
Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation AAAI 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity EMNLP 2025
Mobile Video Diffusion ICCV 2025
MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025
Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation WACV 2025
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks AAAI 2025
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs ICCV 2025
SpiralMLP: A Lightweight Vision MLP Architecture WACV 2025
Bandit Based Attention Mechanism in Vision Transformers WACV 2025
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025
MaskVD: Region Masking for Efficient Video Object Detection WACV 2025
DocMamba: Efficient Document Pre-training with State Space Model AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs AAAI 2025