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

Showing 30013025 of 4891 papers

TitleStatusHype
Five A^+ Network: You Only Need 9K Parameters for Underwater Image EnhancementCode1
Modelling Quasi-Orthographic Captures for Surface Imaging0
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets0
On enhancing the robustness of Vision Transformers: Defensive DiffusionCode0
DNN-Compressed Domain Visual Recognition with Feature Adaptation0
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion FeaturesCode1
Hierarchically Coherent Multivariate Mixture NetworksCode4
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain NormalizationCode0
Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching0
Model Consistency for Mechanical Design: Bridging Lumped and Distributed Parameter Models with A Priori Guarantees0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing0
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health TreatmentCode1
Coil Sketching for computationally-efficient MR iterative reconstruction0
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Towards Better Graph Representation Learning with Parameterized Decomposition & FilteringCode1
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural NetworksCode0
RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image RegistrationCode0
Camera-Based HRV Prediction for Remote Learning EnvironmentsCode1
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators0
Near-Field MIMO-ISAR Millimeter-Wave Imaging0
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code RepresentationCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified