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 626–650 of 4891 papers

TitleStatusHype
View Synthesis with Sculpted Neural PointsCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural NetworksCode1
SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible ImagesCode1
Dynamic Multimodal FusionCode1
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point CloudsCode1
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM ImagesCode1
Faith-Shap: The Faithful Shapley Interaction IndexCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
On Evaluation Metrics for Graph Generative ModelsCode1
TSA-Net: Tube Self-Attention Network for Action Quality AssessmentCode1
S-Walk: Accurate and Scalable Session-based Recommendationwith Random WalksCode1
Learnable Lookup Table for Neural Network QuantizationCode1
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
StyleSwin: Transformer-based GAN for High-resolution Image GenerationCode1
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast DescriptorCode1
Stable Long-Term Recurrent Video Super-ResolutionCode1
TRACER: Extreme Attention Guided Salient Object Tracing NetworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified