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 1626–1650 of 4891 papers

TitleStatusHype
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users—0
A generative foundation model for an all-in-one seismic processing framework—0
Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network—0
Structural Latency Perturbation in Large Language Models Through Recursive State Induction—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals—0
Converting Transformers into DGNNs FormCode0
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration—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
Structural Embedding Projection for Contextual Large Language Model Inference—0
Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Locality-aware Surrogates for Gradient-based Black-box Optimization—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images—0
LLM-Generated Heuristics for AI Planning: Do We Even Need Domain-Independence Anymore?—0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective UpdatesCode0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces—0
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems—0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified