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 2001–2025 of 4891 papers

TitleStatusHype
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities—0
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation—0
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness—0
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
An Integer Polynomial Programming Based Framework for Lifted MAP Inference—0
Frames and vertex-frequency representations in graph fractional Fourier domain—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network—0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
Expected Sliced Transport Plans—0
Exp-Concavity of Proper Composite Losses—0
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers—0
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified