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 4101–4150 of 4891 papers

TitleStatusHype
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identificationCode0
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian ManifoldsCode0
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and ProjectionCode0
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level TasksCode0
spateGAN: Spatio-Temporal Downscaling of Rainfall Fields Using a cGAN ApproachCode0
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image RegistrationCode0
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
Identification of stormwater control strategies and their associated uncertainties using Bayesian OptimizationCode0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
Efficiently Learning the Graph for Semi-supervised LearningCode0
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity RecognitionCode0
On learning optimized reaction diffusion processes for effective image restorationCode0
On Learning the Transformer KernelCode0
Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder LayersCode0
DecomCAM: Advancing Beyond Saliency Maps through Decomposition and IntegrationCode0
Interaction Measures, Partition Lattices and Kernel Tests for High-Order InteractionsCode0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Spatially Adaptive Computation Time for Residual NetworksCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Online Convex Matrix Factorization with Representative RegionsCode0
Interpretable Ensembles of Hyper-Rectangles as Base ModelsCode0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative LearningCode0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
Bisimulation metric for Model Predictive ControlCode0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Revisiting DeepFool: generalization and improvementCode0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
Online Physics-Informed Dynamic Mode Decomposition: Theory and ApplicationsCode0
Online Tensor Methods for Learning Latent Variable ModelsCode0
The Deep Promotion Time Cure ModelCode0
The demodulated band transformCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
BIP: Boost Invariant Polynomials for Efficient Jet TaggingCode0
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational InferenceCode0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLusteringCode0
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
Iterative Approximate Cross-ValidationCode0
Iterative Distributed Multinomial RegressionCode0
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud RegistrationCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified