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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 101–150 of 380 papers

TitleStatusHype
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Dynamic Transfer Learning for Named Entity Recognition—0
Human judgment vs. theoretical models for the management of ecological resources—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
A Machine Learning-oriented Survey on Tiny Machine Learning—0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Heterogeneous Language Model Optimization in Automatic Speech Recognition—0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Enhancing supply chain security with automated machine learning—0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
Enterprise Large Language Model Evaluation Benchmark—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow—0
Behavior Backdoor for Deep Learning Models—0
A deep learning based solution for construction equipment detection: from development to deployment—0
Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings—0
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers—0
IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose—0
DISCO: Distributed Inference with Sparse Communications—0
Diffusion Deepfake—0
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction—0
Graph Embedding for Recommendation against Attribute Inference Attacks—0
Differentiable Folding for Nearest Neighbor Model Optimization—0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance—0
Adaptive Variational Continual Learning via Task-Heuristic Modelling—0
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-view Clustering—0
A Bridging Framework for Model Optimization and Deep Propagation—0
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances—0
DEMO: A Statistical Perspective for Efficient Image-Text Matching—0
Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches—0
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization—0
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images—0
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss—0
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications—0
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy—0
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