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 526–550 of 4891 papers

TitleStatusHype
Neural network-enhanced integrators for simulating ordinary differential equations—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Loss Functions in Deep Learning: A Comprehensive Review—0
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
Hybrid Real- and Complex-valued Neural Network Architecture—0
On the Connection Between Diffusion Models and Molecular Dynamics—0
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
RWKVTTS: Yet another TTS based on RWKV-7Code2
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework—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
Re-thinking Temporal Search for Long-Form Video UnderstandingCode2
Analytical Discovery of Manifold with Machine Learning—0
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
Improving Harmful Text Detection with Joint Retrieval and External Knowledge—0
A Sensorimotor Vision Transformer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified