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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions IJCAI 2025
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues AAAI 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025
Alignment for Efficient Tool Calling of Large Language Models EMNLP 2025
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba AAAI 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers CVPR 2025
The Power of Simplicity in LLM-Based Event Forecasting ACL 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention CVPR 2025
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025
HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting CVPR 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CVPR 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization ICLR 2025
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025
FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025
Cacheback: Speculative Decoding With Nothing But Cache EMNLP 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models EMNLP 2025
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025