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 1901–1925 of 4891 papers

TitleStatusHype
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning—0
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Automatic Doubly Robust Forests—0
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems—0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices—0
Compression for Better: A General and Stable Lossless Compression Framework—0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care—0
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
Digital Twin-Empowered Voltage Control for Power Systems—0
Diff-GO^n: Enhancing Diffusion Models for Goal-Oriented CommunicationsCode0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference—0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirsCode0
A Tiered GAN Approach for Monet-Style Image Generation—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
QueEn: A Large Language Model for Quechua-English Translation—0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified