SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 276–300 of 380 papers

TitleStatusHype
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress ClassificationCode0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata—0
Tensor Decomposition based Personalized Federated Learning—0
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images—0
Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network—0
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation—0
Model Optimization in Imbalanced RegressionCode0
Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection—0
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes—0
Medical Image Registration via Neural Fields—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation—0
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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