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 33013325 of 4891 papers

TitleStatusHype
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm0
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries0
Accelerating Machine Learning Algorithms with Adaptive Sampling0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization0
Accelerating Spectral Clustering under Fairness Constraints0
Accelerating Spherical k-Means0
Accelerating Text Mining Using Domain-Specific Stop Word Lists0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning0
Acceleration and Parallelization Methods for ISRS EGN Model0
Sparse solutions of the kernel herding algorithm by improved gradient approximation0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression0
Accurate and scalable exchange-correlation with deep learning0
Accurate Hand Keypoint Localization on Mobile Devices0
A Chaining Algorithm for Online Nonparametric Regression0
ACL: Activating Capability of Linear Attention for Image Restoration0
A Clustering Method with Graph Maximum Decoding Information0
A comparative study of human inverse kinematics techniques for lower limbs0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers0
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified