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 1141–1150 of 4891 papers

TitleStatusHype
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo AlignmentCode2
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection—0
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models—0
Less is More: Efficient Image Vectorization with Adaptive Parameterization—0
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level TasksCode0
ACL: Activating Capability of Linear Attention for Image Restoration—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy—0
GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified