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 976–1000 of 4891 papers

TitleStatusHype
Structural Latency Perturbation in Large Language Models Through Recursive State Induction—0
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
Converting Transformers into DGNNs FormCode0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals—0
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics—0
Optimal Coupled Sensor Placement and Path-Planning in Unknown Time-Varying Environments—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration—0
Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations—0
Locality-aware Surrogates for Gradient-based Black-box Optimization—0
Structural Embedding Projection for Contextual Large Language Model Inference—0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces—0
LLM-Generated Heuristics for AI Planning: Do We Even Need Domain-Independence Anymore?—0
AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective UpdatesCode0
Contextually Structured Token Dependency Encoding for Large Language Models—0
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
MatIR: A Hybrid Mamba-Transformer Image Restoration ModelCode1
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images—0
CrowdSplat: Exploring Gaussian Splatting For Crowd RenderingCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
Show:102550
← PrevPage 40 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified