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 2026–2050 of 4891 papers

TitleStatusHype
Intelligent Green Efficiency for Intrusion Detection—0
Shallow Signed Distance Functions for Kinematic Collision Bodies—0
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation—0
Multimodal Fusion Balancing Through Game-Theoretic Regularization—0
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning—0
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Universal on-chip polarization handling with deep photonic networks—0
Local vs. Global Models for Hierarchical Forecasting—0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection—0
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data—0
A Survey on Kolmogorov-Arnold Network—0
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine—0
Physics-constrained coupled neural differential equations for one dimensional blood flow modelingCode0
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning—0
Mitigating Stop-and-Go Traffic Congestion with Operator Learning—0
Multi-language Video Subtitle Dataset for Image-based Text Recognition—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation—0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified