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 2426–2450 of 4891 papers

TitleStatusHype
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
QKSAN: A Quantum Kernel Self-Attention Network—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification—0
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight—0
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities—0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM—0
Quality-aware Part Models for Occluded Person Re-identification—0
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning—0
Quantifying Behavioural Distance Between Mathematical Expressions—0
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models—0
Quantization-based Bounds on the Wasserstein Metric—0
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines—0
Quantum Attention for Vision Transformers in High Energy Physics—0
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy—0
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach—0
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment—0
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration—0
Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search—0
Quantum-Inspired Portfolio Optimization In The QUBO Framework—0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified