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 251–260 of 4891 papers

TitleStatusHype
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
Faith-Shap: The Faithful Shapley Interaction IndexCode1
EfficientPose: Scalable single-person pose estimationCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified