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 4001–4050 of 4891 papers

TitleStatusHype
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization—0
DIET-SNN: A Low-Latency Spiking Neural Network with Direct Input Encoding & Leakage and Threshold Optimization—0
RDI-Net: Relational Dynamic Inference NetworksCode0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks—0
Optimizing Quantized Neural Networks with Natural Gradient—0
Self-Supervised Learning of Compressed Video Representations—0
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion—0
A Robust and Efficient Framework for Sports-Field Registration—0
Adjusted chi-square test for degree-corrected block modelsCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
A non-alternating graph hashing algorithm for large scale image searchCode0
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction—0
Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales—0
Unifying Homophily and Heterophily Network Transformation via Motifs—0
Characterizing the Evasion Attackability of Multi-label Classifiers—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Optimal transport for vector Gaussian mixture models—0
Scalable Verification of Quantized Neural Networks (Technical Report)Code0
Monocular Real-time Full Body Capture with Inter-part Correlations—0
Learning to Generate Content-Aware Dynamic Detectors—0
IHashNet: Iris Hashing Network based on efficient multi-index hashing—0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation—0
Forecast with Forecasts: Diversity Matters—0
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