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

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Showing 2651–2700 of 4891 papers

TitleStatusHype
Multi-view learning for automatic classification of multi-wavelength auroral images—0
Riemannian Laplace Approximation with the Fisher MetricCode0
Mixed Models with Multiple Instance LearningCode1
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
Learning Collective Behaviors from Observation—0
Electronic excited states from physically-constrained machine learning—0
Bandit-Driven Batch Selection for Robust Learning under Label Noise—0
YOLOv8-Based Visual Detection of Road Hazards: Potholes, Sewer Covers, and Manholes—0
Interpretable Neural PDE Solvers using Symbolic Frameworks—0
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation—0
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement—0
Triplet Attention Transformer for Spatiotemporal Predictive Learning—0
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone MappingCode1
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach—0
Efficient safe learning for controller tuning with experimental validation—0
Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios—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
Stochastic Gradient Sampling for Enhancing Neural Networks Training—0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review—0
Crowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification—0
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic ProcessesCode1
Robust and Actively Secure Serverless Collaborative Learning—0
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls—0
Numerical Derivative-based Flexible Integration Algorithm for Power Electronic Systems Simulation Considering Nonlinear Components—0
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression ModulesCode0
Nested Control Co-design of a Spar Buoy Horizontal-axis Floating Offshore Wind Turbine—0
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation—0
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot FillingCode0
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency—0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
Scrap Your Schedules with PopDescent—0
EDGE++: Improved Training and Sampling of EDGE—0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks—0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified