SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 261–270 of 380 papers

TitleStatusHype
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs—0
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting—0
AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis—0
Behavior Backdoor for Deep Learning Models—0
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain—0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
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