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 2651–2700 of 4891 papers

TitleStatusHype
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains—0
Neural Dynamic Data Valuation—0
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases—0
SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications—0
Landmark Alternating Diffusion—0
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps—0
Implicit Generative Prior for Bayesian Neural NetworksCode0
One-Shot Image Restoration—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing—0
Detection of circular permutations by Protein Language ModelsCode0
Efficient Transformer Encoders for Mask2Former-style modelsCode0
ML-based identification of the interface regions for coupling local and nonlocal models—0
Advances and Open Challenges in Federated Foundation Models—0
A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimizationCode0
Adaptive Bayesian Optimization for High-Precision Motion Systems—0
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesCode0
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications—0
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction—0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems—0
Music Consistency Models—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional NetworksCode0
Proteus: Preserving Model Confidentiality during Graph OptimizationsCode0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Stepwise Alignment for Constrained Language Model Policy OptimizationCode0
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising—0
Node Similarities under Random Projections: Limits and Pathological Cases—0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
Proof-of-Learning with Incentive Security—0
Minimax Optimal Goodness-of-Fit Testing with Kernel Stein Discrepancy—0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models—0
BERT-LSH: Reducing Absolute Compute For AttentionCode0
Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization—0
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided EmbeddingCode0
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Bidirectional Long-Range Parser for Sequential Data Understanding—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection—0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
On the Efficiency of Convolutional Neural Networks—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified