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 276–300 of 4891 papers

TitleStatusHype
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