SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 31–40 of 380 papers

TitleStatusHype
Self-Supervised Learning for Time Series: Contrastive or Generative?Code1
Ads Recommendation in a Collapsed and Entangled WorldCode1
FourCastNeXt: Optimizing FourCastNet Training for Limited ComputeCode1
Plug-in Diffusion Model for Sequential RecommendationCode1
Towards Fair Graph Federated Learning via Incentive MechanismsCode1
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt LearningCode1
Reward Model Ensembles Help Mitigate OveroptimizationCode1
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated LearningCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
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