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 301350 of 4891 papers

TitleStatusHype
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures0
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations0
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control0
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems0
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit FunctionsCode0
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value ApproximationCode0
PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
A Social Robot with Inner Speech for Dietary GuidanceCode0
ConDiSim: Conditional Diffusion Models for Simulation Based Inference0
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation0
Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets0
Towards a physically realistic computationally efficient DVS pixel model0
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections0
Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach0
Lightweight Multispectral Crop-Weed Segmentation for Precision Agriculture0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems0
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines0
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems0
Monocular Online Reconstruction with Enhanced Detail Preservation0
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers0
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Video Dataset Condensation with Diffusion Models0
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and EfficiencyCode0
Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach0
A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution0
Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising0
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
USPR: Learning a Unified Solver for Profiled RoutingCode0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval0
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes0
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles0
Continuous Thought MachinesCode5
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization0
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning0
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks0
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems0
Learning based convex approximation for constrained parametric optimization0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data RestorationCode2
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified