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 3576–3600 of 4891 papers

TitleStatusHype
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
A Physics-informed machine learning model for time-dependent wave runup prediction—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
A posteriori Trading-inspired Model-free Time Series Segmentation—0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation—0
Appearance-based Gesture recognition in the compressed domain—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Applications of Knowledge Distillation in Remote Sensing: A Survey—0
Applications of Large Language Model Reasoning in Feature Generation—0
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
Applying Incremental Learning in Binary-Addition-Tree Algorithm for Dynamic Binary-State Network Reliability—0
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees—0
Approximately Aligned Decoding—0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search—0
Approximate Steepest Coordinate Descent—0
Approximate XVA for European claims—0
Approximating DTW with a convolutional neural network on EEG data—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning—0
PropEnc: A Property Encoder for Graph Neural Networks—0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
A pseudo-likelihood approach to community detection in weighted networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified