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 2376–2400 of 4891 papers

TitleStatusHype
A hybrid neural network for real-time OD demand calibration under disruptions—0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
Single Image Dehazing Using Scene Depth Ordering—0
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems—0
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability—0
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual AnalyticsCode0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Retrieval Augmentation via User Interest Clustering—0
Robust Estimation of Regression Models with Potentially Endogenous Outliers via a Modern Optimization Lens—0
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
BOTS-LM: Training Large Language Models for Setswana—0
A Path Integral Approach for Time-Dependent Hamiltonians with Applications to Derivatives Pricing—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
Faster Diffusion Action Segmentation—0
Multiview learning with twin parametric margin SVMCode0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Real-time Hybrid System Identification with Online Deterministic Annealing—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified