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 4226–4250 of 4891 papers

TitleStatusHype
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Heron Inference for Bayesian Graphical ModelsCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
Latent Similarity Identifies Important Functional Connections for Phenotype PredictionCode0
Optimal Brain ApoptosisCode0
Robust and Fast Measure of Information via Low-rank RepresentationCode0
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signalingCode0
Robust Channel Estimation for Optical Wireless Communications Using Neural NetworkCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Spherical CNNsCode0
A Low-complexity Structured Neural Network to Realize States of Dynamical SystemsCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Learnable Digital Twin for Efficient Wireless Network EvaluationCode0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Robust Graph Neural Networks using Weighted Graph LaplacianCode0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
Learning a Mini-batch Graph Transformer via Two-stage Interaction AugmentationCode0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified