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

Showing 24512475 of 4891 papers

TitleStatusHype
Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search0
Quantum-Inspired Portfolio Optimization In The QUBO Framework0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting0
Quantum Speedup of Natural Gradient for Variational Bayes0
Quantum-Powered Personalized Learning0
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness0
QuantuneV2: Compiler-Based Local Metric-Driven Mixed Precision Quantization for Practical Embedded AI Applications0
Quasi-Bayesian Estimation and Inference with Control Functions0
QueEn: A Large Language Model for Quechua-English Translation0
Query-Aware MCMC0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering0
Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines0
QVD: Post-training Quantization for Video Diffusion Models0
CLEANing Cygnus A deep and fast with R2D20
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods0
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours0
RAMCT: Novel Region-adaptive Multi-channel Tracker with Iterative Tikhonov Regularization for Thermal Infrared Tracking0
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency0
Random Fourier Features for Asymmetric Kernels0
Randomized Dimension Reduction with Statistical Guarantees0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing0
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified