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 3001–3025 of 4891 papers

TitleStatusHype
Riemannian Laplace Approximation with the Fisher MetricCode0
Successor Features for Efficient Multisubject Controlled Text Generation—0
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Electronic excited states from physically-constrained machine learning—0
Learning Collective Behaviors from Observation—0
YOLOv8-Based Visual Detection of Road Hazards: Potholes, Sewer Covers, and Manholes—0
Bandit-Driven Batch Selection for Robust Learning under Label Noise—0
Interpretable Neural PDE Solvers using Symbolic Frameworks—0
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement—0
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation—0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
Triplet Attention Transformer for Spatiotemporal Predictive Learning—0
Efficient safe learning for controller tuning with experimental validation—0
Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation—0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach—0
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review—0
Crowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification—0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Robust and Actively Secure Serverless Collaborative Learning—0
Stochastic Gradient Sampling for Enhancing Neural Networks Training—0
Numerical Derivative-based Flexible Integration Algorithm for Power Electronic Systems Simulation Considering Nonlinear Components—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified