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 1901–1950 of 4891 papers

TitleStatusHype
Improving Satellite Imagery Masking using Multi-task and Transfer Learning—0
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Automatic Doubly Robust Forests—0
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
Compression for Better: A General and Stable Lossless Compression Framework—0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care—0
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events—0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
Digital Twin-Empowered Voltage Control for Power Systems—0
Diff-GO^n: Enhancing Diffusion Models for Goal-Oriented CommunicationsCode0
XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference—0
STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirsCode0
A Tiered GAN Approach for Monet-Style Image Generation—0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
QueEn: A Large Language Model for Quechua-English Translation—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
Uncertainty Quantification in Portfolio Temperature Alignment—0
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
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
Show:102550
← PrevPage 39 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified