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

Showing 12761300 of 4891 papers

TitleStatusHype
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Attentional Correlation Filter Network for Adaptive Visual TrackingCode0
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Free Parametrization of L2-bounded State Space ModelsCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Diff-GO^n: Enhancing Diffusion Models for Goal-Oriented CommunicationsCode0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified