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 251–300 of 4891 papers

TitleStatusHype
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation—0
MGStream: Motion-aware 3D Gaussian for Streamable Dynamic Scene ReconstructionCode1
Path-integral molecular dynamics with actively-trained and universal machine learning force fieldsCode0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
Quantum Optimization via Gradient-Based Hamiltonian DescentCode0
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy—0
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition—0
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures—0
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and InferenceCode1
Multi-Level Monte Carlo Training of Neural Operators—0
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs—0
Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Optimal Task and Motion Planning for Autonomous Systems Using Petri Nets—0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment—0
Structureless VIO—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture—0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting—0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion ModelCode1
SepPrune: Structured Pruning for Efficient Deep Speech SeparationCode1
whittlehurst: A Python package implementing Whittle's likelihood estimation of the Hurst exponent—0
Simple and Effective Specialized Representations for Fair Classifiers—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
LGBQPC: Local Granular-Ball Quality Peaks Clustering—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion—0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Neural-Inspired Advances in Integral Cryptanalysis—0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
Schreier-Coset Graph Propagation—0
Near Optimal Best Arm Identification for Clustered Bandits—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations—0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours—0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting—0
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs—0
Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering—0
Sequential Monte Carlo Squared for online inference in stochastic epidemic modelsCode0
Fast Learning in Quantitative Finance with Extreme Learning Machine—0
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image AnalysisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified