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

Showing 46514675 of 4891 papers

TitleStatusHype
Generalized Analysis and Unified Design of EM Skins0
Generalized Group Data Attribution0
Generalized Higher-Order Tensor Decomposition via Parallel ADMM0
Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis0
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations0
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks0
Generative QoE Modeling: A Lightweight Approach for Telecom Networks0
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model0
GenMol: A Drug Discovery Generalist with Discrete Diffusion0
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction0
GeoLoRA: Geometric integration for parameter efficient fine-tuning0
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction0
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series0
Geometric Policy Iteration for Markov Decision Processes0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes0
Geometry Enhanced Optimal Control Technique for Acrobatic Flip Motion of Quadcopter0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning0
Global Adaptive Generative Adjustment0
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization0
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints0
Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space0
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI0
Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity0
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified