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 976–1000 of 4891 papers

TitleStatusHype
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