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 26012625 of 4891 papers

TitleStatusHype
Spatially Covariant Image Registration with Text PromptsCode1
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs0
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Online Importance Sampling for Stochastic Gradient Optimization0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive ImagingCode1
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection0
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores0
A projected nonlinear state-space model for forecasting time series signalsCode0
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints0
Computational Explorations in Biomedicine: Unraveling Molecular Dynamics for Cancer, Drug Delivery, and Biomolecular Insights using LAMMPS Simulations0
Novel OCT mosaicking pipeline with Feature- and Pixel-based registrationCode0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria0
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration0
Multi-Resolution Planar Region Extraction for Uneven Terrains0
Neural Network Pruning by Gradient DescentCode0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution0
A Deep-Genetic Algorithm (Deep-GA) Approach for High-Dimensional Nonlinear Parabolic Partial Differential Equations0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models0
Deep Tensor Network0
PEFT-MedAware: Large Language Model for Medical Awareness0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting0
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified