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 401–425 of 4891 papers

TitleStatusHype
Nonconvex Linear System Identification with Minimal State Representation—0
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation—0
PODNO: Proper Orthogonal Decomposition Neural Operators—0
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations—0
TableCenterNet: A one-stage network for table structure recognitionCode1
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Towards Robust LLMs: an Adversarial Robustness Measurement FrameworkCode0
On the workflow, opportunities and challenges of developing foundation model in geophysics—0
Mixed Bernstein-Fourier Approximants for Optimal Trajectory Generation with Periodic Behavior—0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
Precision Neural Network Quantization via Learnable Adaptive Modules—0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening—0
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksCode2
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation—0
Improving Significant Wave Height Prediction Using Chronos Models—0
Hyper-Transforming Latent Diffusion Models—0
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion—0
Survey of Video Diffusion Models: Foundations, Implementations, and ApplicationsCode1
Observability conditions for neural state-space models with eigenvalues and their roots of unity—0
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning—0
High-performance training and inference for deep equivariant interatomic potentialsCode4
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models—0
LLMs meet Federated Learning for Scalable and Secure IoT Management—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified