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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 251–300 of 380 papers

TitleStatusHype
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning—0
Curriculum Graph Machine Learning: A Survey—0
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models—0
Validation of machine learning based scenario generators—0
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning—0
Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily PlantCode0
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge DevicesCode0
Multi-scale multi-modal micro-expression recognition algorithm based on transformer—0
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer—0
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms—0
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs—0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey—0
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective—0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes—0
Data-Augmented Counterfactual Learning for Bundle Recommendation—0
Floorplan-Aware Camera Poses Refinement—0
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation—0
Invariant Aggregator for Defending against Federated Backdoor Attacks—0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
Device-friendly Guava fruit and leaf disease detection using deep learningCode0
Grouped Adaptive Loss Weighting for Person Search—0
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 DetectionCode0
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)—0
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