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

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Showing 4101–4150 of 4891 papers

TitleStatusHype
Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching—0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models—0
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation—0
Development of modeling and control strategies for an approximated Gaussian process—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization—0
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach—0
DIET-SNN: A Low-Latency Spiking Neural Network with Direct Input Encoding & Leakage and Threshold Optimization—0
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks—0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning—0
Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem—0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differentiable Point-based Inverse Rendering—0
Differentiable Turbulence: Closure as a partial differential equation constrained optimization—0
Differentially Private Community Detection for Stochastic Block Models—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
Differentially Private Training of Mixture of Experts Models—0
Differential Privacy of Hierarchical Census Data: An Optimization Approach—0
Different thresholding methods on Nearest Shrunken Centroid algorithm—0
DiffFNO: Diffusion Fourier Neural Operator—0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
Diffusion Models for High-Resolution Solar Forecasts—0
Diffusion Models in 3D Vision: A Survey—0
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging—0
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning—0
Digital Twin-Empowered Voltage Control for Power Systems—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
Directed Acyclic Graph Convolutional Networks—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound—0
Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping—0
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Discriminative Transfer Learning for General Image Restoration—0
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Distilling Diversity and Control in Diffusion Models—0
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified