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 2371–2380 of 4891 papers

TitleStatusHype
A Simple Baseline for Efficient Hand Mesh ReconstructionCode2
DUFOMap: Efficient Dynamic Awareness MappingCode3
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships—0
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling—0
Comparing large language models and human programmers for generating programming code—0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection—0
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified