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 4526–4550 of 4891 papers

TitleStatusHype
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach—0
High Performance Visual Tracking with Circular and Structural Operators—0
Parsing Tweets into Universal DependenciesCode0
Is feature selection secure against training data poisoning?—0
Shapley Value Methods for Attribution Modeling in Online Advertising—0
A new robust feature selection method using variance-based sensitivity analysis—0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
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
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
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified