SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 221–230 of 380 papers

TitleStatusHype
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities—0
Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability—0
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network—0
ProMoAI: Process Modeling with Generative AI—0
Proximal Policy Optimization and its Dynamic Version for Sequence Generation—0
PUMA: Performance Unchanged Model Augmentation for Training Data Removal—0
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
Quantifying Overfitting: Introducing the Overfitting Index—0
R2 Loss: Range Restriction Loss for Model Compression and Quantization—0
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively—0
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