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 901–925 of 4891 papers

TitleStatusHype
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting—0
Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes—0
Accelerating Spectral Clustering under Fairness Constraints—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
MapBERT: Bitwise Masked Modeling for Real-Time Semantic Mapping Generation—0
HyColor: An Efficient Heuristic Algorithm for Graph Coloring—0
Simultaneous Segmentation of Ventricles and Normal/Abnormal White Matter Hyperintensities in Clinical MRI using Deep Learning—0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models—0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder LayersCode0
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation—0
Efficient Robust Conformal Prediction via Lipschitz-Bounded NetworksCode0
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages—0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
Pruning Everything, Everywhere, All at OnceCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified