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 3276–3300 of 4891 papers

TitleStatusHype
On enhancing the robustness of Vision Transformers: Defensive DiffusionCode0
DNN-Compressed Domain Visual Recognition with Feature Adaptation—0
Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching—0
Model Consistency for Mechanical Design: Bridging Lumped and Distributed Parameter Models with A Priori Guarantees—0
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain NormalizationCode0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing—0
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
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model—0
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators—0
Near-Field MIMO-ISAR Millimeter-Wave Imaging—0
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise RankingCode0
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis—0
Feed-Forward Optimization With Delayed Feedback for Neural NetworksCode0
Learning battery model parameter dynamics from data with recursive Gaussian process regression—0
Centrality-Based Node Feature Augmentation for Robust Network Alignment—0
Towards Compute-Optimal Transfer Learning—0
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer EvaluationsCode0
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles—0
Optimal Design of Neural Network Structure for Power System Frequency Security Constraints—0
Gradient-Descent Based Optimization of Multi-Tone Sinusoidal Frequency Modulated Waveforms—0
SSN: Stockwell Scattering Network for SAR Image Change Detection—0
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified