SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

Showing 226250 of 380 papers

TitleStatusHype
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 Approaches0
Graph Regularized and Feature Aware Matrix Factorization for Robust Incomplete Multi-view Clustering0
A Machine Learning-oriented Survey on Tiny Machine Learning0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
Quantifying Overfitting: Introducing the Overfitting Index0
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence GenerationCode0
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration0
Exploring Robustness of Image Recognition Models on Hardware AcceleratorsCode0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection0
Redundancy and Concept Analysis for Code-trained Language Models0
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference0
AI-coherent data-driven forecasting model for a combined cycle power plantCode0
Transfer-Once-For-All: AI Model Optimization for Edge0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures0
Multi-modal reward for visual relationships-based image captioning0
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataCode0
Optimization Design for Federated Learning in Heterogeneous 6G Networks0
R2 Loss: Range Restriction Loss for Model Compression and Quantization0
MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration0
DISCO: Distributed Inference with Sparse Communications0
Online Arbitrary Shaped Clustering through Correlated Gaussian FunctionsCode0
Confidence-based Reliable Learning under Dual Noises0
Multimodal Recommender Systems: A Survey0
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