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Efficient Computing

596 directly classified papers

Papers per year

Papers

High-Level Semantics and Low-Level Features Fusion for Multi-Scale Object Detection in Dynamic Construction Environments WACV 2026
PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026
SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection WACV 2026
DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge AAAI 2026
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ACL 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation ACL 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation ACL 2025
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025
500xCompressor: Generalized Prompt Compression for Large Language Models ACL 2025
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding EMNLP 2025
VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs EMNLP 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing AAAI 2025
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines ACL 2025
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility ICCV 2025
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction ICCV 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025
Column-Oriented Datalog on the GPU AAAI 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025
From Address Blocks to Authorized Prefixes: Redesigning RPKI ROV with a Hierarchical Hashing Scheme for Fast and Memory-Efficient Validation NSDI 2025
RefreshKV: Updating Small KV Cache During Long-form Generation ACL 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition ICCV 2025