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 1601–1625 of 4891 papers

TitleStatusHype
Efficient training of physics-informed neural networks via importance sampling—0
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm—0
Efficient Training of Very Deep Neural Networks for Supervised Hashing—0
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
Distributed Differentially Private Data Analytics via Secure Sketching—0
A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing—0
Efficient universal shuffle attack for visual object tracking—0
sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation—0
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
Effortless Cross-Platform Video Codec: A Codebook-Based Method—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control—0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
Eigenspace Method for Spatiotemporal Hotspot Detection—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
Electronic excited states from physically-constrained machine learning—0
Distributed Consensus Optimization with Consensus ALADIN—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified