SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 151–175 of 380 papers

TitleStatusHype
Few-shot Object LocalizationCode1
Monkeypox disease recognition model based on improved SE-InceptionV3Code0
Self-Supervised Learning for Time Series: Contrastive or Generative?Code1
ProMoAI: Process Modeling with Generative AI—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
Flattening Singular Values of Factorized Convolution for Medical Images—0
Ads Recommendation in a Collapsed and Entangled WorldCode1
Optimizing Language Models for Human Preferences is a Causal Inference Problem—0
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation—0
Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression RecognitionCode0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
FourCastNeXt: Optimizing FourCastNet Training for Limited ComputeCode1
Self Supervised Vision for Climate DownscalingCode0
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process—0
Plug-in Diffusion Model for Sequential RecommendationCode1
Improved Self-Training for Test-Time AdaptationCode0
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction—0
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest—0
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation—0
Towards Fair Graph Federated Learning via Incentive MechanismsCode1
Object-aware Adaptive-Positivity Learning for Audio-Visual Question AnsweringCode0
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction—0
LabelCraft: Empowering Short Video Recommendations with Automated Label CraftingCode0
Vision-language Assisted Attribute Learning—0
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