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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 76–100 of 380 papers

TitleStatusHype
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Streaming Radiance Fields for 3D Video SynthesisCode1
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural RepresentationCode1
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams—0
Anomalib: A Deep Learning Library for Anomaly Detection—0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks—0
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs—0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
An empirical investigation into audio pipeline approaches for classifying bird species—0
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization—0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation—0
Enhancing supply chain security with automated machine learning—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
A Machine Learning-oriented Survey on Tiny Machine Learning—0
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