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 3651–3675 of 4891 papers

TitleStatusHype
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets—0
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition—0
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks—0
Mojito: Motion Trajectory and Intensity Control for Video Generation—0
Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales—0
Molecular Fingerprints for Robust and Efficient ML-Driven Molecular Generation—0
Monaural Multi-Speaker Speech Separation Using Efficient Transformer Model—0
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Monocular Online Reconstruction with Enhanced Detail Preservation—0
Monocular Real-time Full Body Capture with Inter-part Correlations—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs—0
Monotone Individual Fairness—0
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control—0
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy—0
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning—0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack—0
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method—0
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds—0
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction—0
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified