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 4501–4550 of 4891 papers

TitleStatusHype
Composite Marginal Likelihood Methods for Random Utility Models—0
HydraNets: Specialized Dynamic Architectures for Efficient Inference—0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and ApplicationsCode0
Core Conflictual Relationship: Text Mining to Discover What and When—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
On the Estimation of Entropy in the FastICA AlgorithmCode0
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines—0
Exp-Concavity of Proper Composite Losses—0
Automated Process Planning for Hybrid Manufacturing—0
Multi-level Wavelet-CNN for Image RestorationCode0
Dyna: A Method of Momentum for Stochastic Optimization—0
Neural Open Information Extraction—0
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach—0
Parsing Tweets into Universal DependenciesCode0
High Performance Visual Tracking with Circular and Structural Operators—0
Is feature selection secure against training data poisoning?—0
Shapley Value Methods for Attribution Modeling in Online Advertising—0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
A new robust feature selection method using variance-based sensitivity analysis—0
Fast Counting in Machine Learning ApplicationsCode0
Causal Generative Domain Adaptation Networks—0
Estimating Time-Varying Graphical ModelsCode0
Learning to Extract a Video Sequence from a Single Motion-Blurred ImageCode0
Attention U-Net: Learning Where to Look for the PancreasCode1
Sequence Training of DNN Acoustic Models With Natural Gradient—0
Sparse Principal Component Analysis via Variable Projection—0
Robust Subspace Clustering with Compressed Data—0
CSfM: Community-based Structure from Motion—0
Fast Sequence Based Embedding with Diffusion GraphsCode1
Simple random search provides a competitive approach to reinforcement learningCode1
Provable Convex Co-clustering of Tensors—0
Heuristics for vehicle routing problems: Sequence or set optimization?—0
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation—0
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks—0
Heron Inference for Bayesian Graphical ModelsCode0
Finding Influential Training Samples for Gradient Boosted Decision TreesCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
Mining Sub-Interval Relationships In Time Series Data—0
Systematic Weight Pruning of DNNs using Alternating Direction Method of MultipliersCode0
Phased Microphone Array for Sound Source Localization with Deep Learning—0
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations—0
Spectral Learning of Binomial HMMs for DNA Methylation Data—0
Efficient Large-Scale Multi-Modal Classification—0
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification—0
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution LayersCode1
Augmented Space Linear Model—0
Spherical CNNsCode0
Learning to Speed Up Query Planning in Graph Databases—0
Show:102550
← PrevPage 91 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified