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

Showing 676700 of 4891 papers

TitleStatusHype
Machine learning surrogate models of many-body dispersion interactions in polymer melts0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation0
Variational Autoencoded Multivariate Spatial Fay-Herriot Models0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution0
Modular Distributed Nonconvex Learning with Error Feedback0
Advances in 4D Generation: A SurveyCode2
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models0
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion0
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems0
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network0
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing0
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language ModelsCode2
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components0
Personalize Anything for Free with Diffusion Transformer0
Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems0
GS-I^3: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent ImagesCode1
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows0
Applications of Large Language Model Reasoning in Feature Generation0
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified