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 651–675 of 4891 papers

TitleStatusHype
Fast Point TransformerCode1
Fully Attentional Network for Semantic SegmentationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Sparse DETR: Efficient End-to-End Object Detection with Learnable SparsityCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender SystemsCode1
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Neural Flows: Efficient Alternative to Neural ODEsCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
SOFT: Softmax-free Transformer with Linear ComplexityCode1
SIN:Superpixel Interpolation NetworkCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Output Space Entropy Search Framework for Multi-Objective Bayesian OptimizationCode1
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image ClassificationCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksCode1
Transformer-based Transform CodingCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
AI Accelerator Survey and TrendsCode1
An MRC Framework for Semantic Role LabelingCode1
Voxel Transformer for 3D Object DetectionCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified