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 701–750 of 4891 papers

TitleStatusHype
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
INSPIRE: Intensity and spatial information-based deformable image registrationCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
Change State Space Models for Remote Sensing Change DetectionCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
InRank: Incremental Low-Rank LearningCode1
Quantum Vision Transformers for Quark-Gluon ClassificationCode1
InterFormer: Real-time Interactive Image SegmentationCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
Improving Facade Parsing with Vision Transformers and Line IntegrationCode1
An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networksCode1
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost ProxiesCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
EfficientPose: Scalable single-person pose estimationCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Remote Sensing Image Change Detection with Graph InteractionCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
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
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed AugmentationCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
RGB-Event Fusion with Self-Attention for Collision PredictionCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified