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 2676–2700 of 4891 papers

TitleStatusHype
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