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 501–550 of 4891 papers

TitleStatusHype
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Graph Mixer NetworksCode1
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
GridFormer: Point-Grid Transformer for Surface ReconstructionCode1
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing AidsCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast DescriptorCode1
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
Algorithmic Differentiation for Automated Modeling of Machine Learned Force FieldsCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Change State Space Models for Remote Sensing Change DetectionCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Gradient-free variational learning with conditional mixture networksCode1
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual NavigationCode1
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image ClassificationCode1
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Global-Local MAV Detection under Challenging Conditions based on Appearance and MotionCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Geometry-Informed Neural Operator TransformerCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Accelerated and interpretable oblique random survival forestsCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
AI Accelerator Survey and TrendsCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesCode1
Generative Multiplane Neural Radiance for 3D-Aware Image GenerationCode1
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksCode1
Activation-Informed Merging of Large Language ModelsCode1
Fully Attentional Network for Semantic SegmentationCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified