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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
Multitask Learning for Emotion and Personality DetectionCode1
Dataset Cartography: Mapping and Diagnosing Datasets with Training DynamicsCode1
Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification TasksCode1
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
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate 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
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—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
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization—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
Enhancing supply chain security with automated machine learning—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
Enterprise Large Language Model Evaluation Benchmark—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
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
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