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

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Showing 3551–3600 of 4891 papers

TitleStatusHype
TSA-Net: Tube Self-Attention Network for Action Quality AssessmentCode1
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement—0
Jointly Efficient and Optimal Algorithms for Logistic BanditsCode0
S-Walk: Accurate and Scalable Session-based Recommendationwith Random WalksCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Quality-aware Part Models for Occluded Person Re-identification—0
Electric Field Models of Transcranial Magnetic Stimulation Coils with Arbitrary Geometries: Reconstruction from Incomplete Magnetic Field MeasurementsCode0
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
MSeg: A Composite Dataset for Multi-domain Semantic SegmentationCode1
PRIME: A few primitives can boost robustness to common corruptionsCode1
Reconstructing Compact Building Models from Point Clouds Using Deep Implicit FieldsCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles—0
Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors—0
StyleSwin: Transformer-based GAN for High-resolution Image GenerationCode1
MISO hierarchical inference engine satisfying the law of importation with aggregation functions—0
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast DescriptorCode1
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach—0
Dynamics-aware Adversarial Attack of 3D Sparse Convolution NetworkCode0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
Stable Long-Term Recurrent Video Super-ResolutionCode1
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce—0
Efficient Geometry-aware 3D Generative Adversarial NetworksCode2
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection—0
TRACER: Extreme Attention Guided Salient Object Tracing NetworkCode1
Composing MPC with LQR and Neural Network for Amortized Efficiency and Stable Control—0
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations—0
LSTM-based model predictive control with discrete inputs for irrigation scheduling—0
A Sparse Expansion For Deep Gaussian Processes—0
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic SurgeryCode0
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution—0
Fast Point TransformerCode1
Dynamic Flow Equilibrium of Transportation and Power Distribution Networks Considering Flexible Traveling Choices and Voltage Quality Improvement—0
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
Fully Attentional Network for Semantic SegmentationCode1
SHRIMP: Sparser Random Feature Models via Iterative Magnitude PruningCode0
Self-Organized Polynomial-Time Coordination GraphsCode0
Universalizing Weak Supervision—0
Self-Supervised Camera Self-Calibration from Video—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Is Class-Incremental Enough for Continual Learning?—0
U2-Former: A Nested U-shaped Transformer for Image Restoration—0
Multi-scale Graph Convolutional Networks with Self-Attention—0
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency—0
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded SystemsCode0
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification—0
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity MeasurementCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified