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Efficient Computing

1253 directly classified papers

Papers per year

Papers

Boosting Vision State Space Model with Fractal Scanning AAAI 2025
SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models AAAI 2025
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition AAAI 2025
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures AAAI 2025
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation AAAI 2025
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories AAAI 2025
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network AAAI 2025
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data AAAI 2025
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach AAAI 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs AAAI 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025