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 1851–1900 of 4891 papers

TitleStatusHype
Data Clustering and Visualization with Recursive Goemans-Williamson MaxCut Algorithm—0
Robust Model Predictive Control for Aircraft Intent-Aware Collision Avoidance—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images—0
Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning—0
Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes—0
A hybrid neural network for real-time OD demand calibration under disruptions—0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsCode2
Single Image Dehazing Using Scene Depth Ordering—0
FuXi Weather: A data-to-forecast machine learning system for global weatherCode2
PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance TransferCode1
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
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Retrieval Augmentation via User Interest Clustering—0
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution NetworksCode2
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCode1
Robust Estimation of Regression Models with Potentially Endogenous Outliers via a Modern Optimization Lens—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—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
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities—0
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
Cross-Scan Mamba with Masked Training for Robust Spectral Imaging—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI—0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs—0
Integrating Agent-Based and Compartmental Models for Infectious Disease Modeling: A Novel Hybrid Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified