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 4026–4050 of 4891 papers

TitleStatusHype
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
On Efficiency in Hierarchical Reinforcement Learning—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications—0
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Switching Device-Cognizant Sequential Distribution System Restoration—0
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
Support estimation in high-dimensional heteroscedastic mean regression—0
Transfer Function Analysis and Implementation of Active Disturbance Rejection Control—0
Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting—0
Synthetic Training for Monocular Human Mesh Recovery—0
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret PerformanceCode0
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables—0
Multimodal Topic Learning for Video Recommendation—0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Spectral folding and two-channel filter-banks on arbitrary graphs—0
A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D)—0
Low-complexity decentralized algorithm for aggregate load control of thermostatic loadsCode0
Computationally and Statistically Efficient Truncated Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified