SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 201–210 of 4891 papers

TitleStatusHype
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge DistillationCode2
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution NetworksCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect TransistorsCode2
RWKVTTS: Yet another TTS based on RWKV-7Code2
Efficient Geometry-aware 3D Generative Adversarial NetworksCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Softmax-free Linear TransformersCode2
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified