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 1921–1930 of 4891 papers

TitleStatusHype
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Uncertainty Quantification in Portfolio Temperature Alignment—0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified