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 951–975 of 4891 papers

TitleStatusHype
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Compression with Flows via Local Bits-Back CodingCode0
Learning to Rank Using Localized Geometric Mean MetricsCode0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Leave-One-Out Stable Conformal PredictionCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
LeMoRe: Learn More Details for Lightweight Semantic SegmentationCode0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Hierarchical Variational ModelsCode0
Linear Periodically Time-Variant Digital PLL Phase Noise Modeling Using Conversion Matrices and Uncorrelated UpsamplingCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
Heron Inference for Bayesian Graphical ModelsCode0
Likelihood-Free Overcomplete ICA and Applications in Causal DiscoveryCode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified