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 1926–1950 of 4891 papers

TitleStatusHype
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
Granular Ball Twin Support Vector Machine with Universum Data—0
Online Physics-Informed Dynamic Mode Decomposition: Theory and ApplicationsCode0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Optimized CNNs for Rapid 3D Point Cloud Object Recognition—0
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model AccuracyCode0
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance—0
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data—0
Iterative Distributed Multinomial RegressionCode0
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture SplittingCode0
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities—0
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Distributed Differentially Private Data Analytics via Secure Sketching—0
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks—0
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning—0
Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations—0
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern ClassificationCode0
Pilot Contamination Aware Transformer for Downlink Power Control in Cell-Free Massive MIMO Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified