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 1251–1275 of 4891 papers

TitleStatusHype
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs—0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration—0
Loss Functions in Deep Learning: A Comprehensive Review—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
Hybrid Real- and Complex-valued Neural Network Architecture—0
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
On the Connection Between Diffusion Models and Molecular Dynamics—0
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval—0
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Towards Assessing Deep Learning Test Input Generators—0
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning—0
Analytical Discovery of Manifold with Machine Learning—0
Improving Harmful Text Detection with Joint Retrieval and External Knowledge—0
A Sensorimotor Vision Transformer—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
Robust Channel Estimation for Optical Wireless Communications Using Neural NetworkCode0
LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified