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 2251–2275 of 4891 papers

TitleStatusHype
Data-driven Modeling of Linearizable Power Flow for Large-scale Grid Topology Optimization—0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning—0
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data—0
Applications of Knowledge Distillation in Remote Sensing: A Survey—0
Memory Networks: Towards Fully Biologically Plausible Learning—0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling—0
On Vision Transformers for Classification Tasks in Side-Scan Sonar Imagery—0
Optimal Control for Discrete-Time Systems under Bounded Disturbances—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with MambaCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
PropEnc: A Property Encoder for Graph Neural Networks—0
A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks—0
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds—0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics—0
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI ImageCode0
Neuromorphic Spintronics—0
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud DetectionCode0
Provably Efficient Infinite-Horizon Average-Reward Reinforcement Learning with Linear Function Approximation—0
Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)Code0
OML-AD: Online Machine Learning for Anomaly Detection in Time Series DataCode0
Scaling Continuous Kernels with Sparse Fourier Domain Learning—0
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding—0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified