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 3301–3350 of 4891 papers

TitleStatusHype
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm—0
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy—0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
Accelerating Machine Learning Algorithms with Adaptive Sampling—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization—0
Accelerating Spectral Clustering under Fairness Constraints—0
Accelerating Spherical k-Means—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
Accurate and scalable exchange-correlation with deep learning—0
Accurate Hand Keypoint Localization on Mobile Devices—0
A Chaining Algorithm for Online Nonparametric Regression—0
ACL: Activating Capability of Linear Attention for Image Restoration—0
A Clustering Method with Graph Maximum Decoding Information—0
A comparative study of human inverse kinematics techniques for lower limbs—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems—0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping—0
A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
A Computational Model of Learning and Memory Using Structurally Dynamic Cellular Automata—0
A Computational Separation between Private Learning and Online Learning—0
A Consistent ICM-based χ^2 Specification Test—0
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption—0
A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition—0
An LBP-HOG Descriptor Based on Matrix Projection For Mammogram Classification—0
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration—0
Acoustic Source Localization with the Angular Spectrum Approach in Continuously Stratified Media—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Action Recognition With Motion Diversification and Dynamic Selection—0
Action-Sufficient State Representation Learning for Control with Structural Constraints—0
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting—0
Active Learning in Video Tracking—0
Active Learning with Tabular Language Models—0
Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems—0
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency—0
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified