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 3001–3050 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
Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls—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
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Scrap Your Schedules with PopDescent—0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency—0
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot FillingCode0
ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation—0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
EDGE++: Improved Training and Sampling of EDGE—0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks—0
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning—0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
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
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems—0
Effortless Cross-Platform Video Codec: A Codebook-Based Method—0
spateGAN: Spatio-Temporal Downscaling of Rainfall Fields Using a cGAN ApproachCode0
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
Efficient and Effective Deep Multi-view Subspace Clustering—0
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified