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 301–325 of 4891 papers

TitleStatusHype
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
Adaptive Transformers for Learning Multimodal RepresentationsCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Exploiting Deblurring Networks for Radiance FieldsCode1
Fast Point TransformerCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Adaptive Focus for Efficient Video RecognitionCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified