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 4351–4375 of 4891 papers

TitleStatusHype
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation—0
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere—0
Eigenspace Method for Spatiotemporal Hotspot Detection—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
Electricity Market Forecasting via Low-Rank Multi-Kernel Learning—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
Electronic excited states from physically-constrained machine learning—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models—0
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs—0
Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation—0
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization—0
Emergent functions of noise-driven spontaneous activity: Homeostatic maintenance of criticality and memory consolidation—0
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization—0
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method—0
Cross-Scan Mamba with Masked Training for Robust Spectral Imaging—0
Emulating the interstellar medium chemistry with neural operators—0
Enabling Fast, Accurate, and Efficient Real-Time Genome Analysis via New Algorithms and Techniques—0
Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine—0
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations—0
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network—0
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN—0
Energy-based Preference Optimization for Test-time Adaptation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified