SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 176–200 of 380 papers

TitleStatusHype
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt LearningCode1
PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language ModelsCode0
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy—0
Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units—0
LLMRec: Large Language Models with Graph Augmentation for RecommendationCode0
Transformers are Provably Optimal In-context Estimators for Wireless CommunicationsCode0
Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches—0
Reward Model Ensembles Help Mitigate OveroptimizationCode1
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-view Clustering—0
A Machine Learning-oriented Survey on Tiny Machine Learning—0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated LearningCode1
Quantifying Overfitting: Introducing the Overfitting Index—0
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence GenerationCode0
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration—0
Improved Distribution Matching for Dataset CondensationCode1
Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient HeuristicsCode1
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsCode2
Exploring Robustness of Image Recognition Models on Hardware AcceleratorsCode0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection—0
Redundancy and Concept Analysis for Code-trained Language Models—0
Knowledge-refined Denoising Network for Robust RecommendationCode1
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