SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 291–300 of 380 papers

TitleStatusHype
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
Federated Self-Supervised Learning for Acoustic Event Classification—0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss—0
PUMA: Performance Unchanged Model Augmentation for Training Data Removal—0
Adaptive Discriminative Regularization for Visual Classification—0
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders—0
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks—0
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition—0
Anomalib: A Deep Learning Library for Anomaly Detection—0
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)—0
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