SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

Showing 251275 of 380 papers

TitleStatusHype
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs0
Anomalib: A Deep Learning Library for Anomaly Detection0
AquaIntellect: A Semantic Self-learning Framework for Underwater Internet of Things Connectivity0
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata0
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process0
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation0
A stochastic geospatial epidemic model and simulation using an event modulated Gillespie algorithm0
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things0
A Survey on Vietnamese Document Analysis and Recognition: Challenges and Future Directions0
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images0
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis0
Behavior Backdoor for Deep Learning Models0
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks0
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling0
Confidence-based Reliable Learning under Dual Noises0
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation0
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