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 776–800 of 4891 papers

TitleStatusHype
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health TreatmentCode1
featsel: A framework for benchmarking of feature selection algorithms and cost functionsCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Federated Bayesian Optimization via Thompson SamplingCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank RepresentationsCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Ferret: Federated Full-Parameter Tuning at Scale for Large Language ModelsCode1
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
M^3amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing ClassificationCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Simple random search provides a competitive approach to reinforcement learningCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Speeding up and reducing memory usage for scientific machine learning via mixed precisionCode1
Implicit Regularization for Optimal Sparse RecoveryCode0
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based UpsamplingCode0
Show:102550
← PrevPage 32 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified