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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4126–4150 of 4891 papers

TitleStatusHype
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
Diffusion Models for High-Resolution Solar Forecasts—0
Diffusion Models in 3D Vision: A Survey—0
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging—0
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning—0
Digital Twin-Empowered Voltage Control for Power Systems—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
Directed Acyclic Graph Convolutional Networks—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound—0
Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping—0
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Discriminative Transfer Learning for General Image Restoration—0
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Distilling Diversity and Control in Diffusion Models—0
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified