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 2201–2225 of 4891 papers

TitleStatusHype
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation—0
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs—0
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models—0
An Enhanced Low-Resolution Image Recognition Method for Traffic Environments—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
Electronic excited states from physically-constrained machine learning—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Eigenspace Method for Spatiotemporal Hotspot Detection—0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified