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 951–1000 of 4891 papers

TitleStatusHype
CIRO: COVID-19 infection risk ontologyCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
Computational Discovery of Chiasmus in Ancient Religious TextCode0
Lightweight Models for Emotional Analysis in VideoCode0
Identification of stormwater control strategies and their associated uncertainties using Bayesian OptimizationCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Low-complexity decentralized algorithm for aggregate load control of thermostatic loadsCode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihoodCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
Hierarchical Variational ModelsCode0
Heron Inference for Bayesian Graphical ModelsCode0
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional dataCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelCode0
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record GenerationCode0
Considerations in the use of ML interaction potentials for free energy calculationsCode0
A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization FactorsCode0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified