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 501–525 of 4891 papers

TitleStatusHype
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
Simulating room transfer functions between transducers mounted on audio devices using a modified image source methodCode1
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion ModelsCode1
Objects do not disappear: Video object detection by single-frame object location anticipationCode1
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
Learning Fine-Grained Features for Pixel-wise Video CorrespondencesCode1
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEsCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
Variational Autoencoding of Dental Point CloudsCode1
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networksCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Remote Sensing Image Change Detection with Graph InteractionCode1
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at ScaleCode1
On efficient computation in active inferenceCode1
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature MatchingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified