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

Showing 131140 of 4891 papers

TitleStatusHype
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
A Survey on Diffusion Models for Anomaly DetectionCode2
AdaFisher: Adaptive Second Order Optimization via Fisher InformationCode2
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-MeshCode2
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Accelerating Direct Preference Optimization with Prefix SharingCode2
A Simple Baseline for Efficient Hand Mesh ReconstructionCode2
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified