Search Results - "ML: Auto ML and Hyperparameter Tuning"

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Authors: Zheng, Shenghe Wang, Hongzhi Mu, Tianyu

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17051-17059 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Semi-Supervised Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29649/31103; https://ojs.aaai.org/index.php/AAAI/article/view/29649/31104; https://ojs.aaai.org/index.php/AAAI/article/view/29649

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29649
https://doi.org/10.1609/aaai.v38i15.29649

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Authors: Zhang, Xuechen Li, Mingchen Chen, Jiasi et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16890-16898 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Ethics, Bias, and Fairness, ML: Auto ML and Hyperparameter Tuning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29631/31071; https://ojs.aaai.org/index.php/AAAI/article/view/29631

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https://doi.org/10.1609/aaai.v38i15.29631

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Authors: Yao, Yang Wang, Xin Qin, Yijian et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16433-16441 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Graph-based Machine Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29580/30975; https://ojs.aaai.org/index.php/AAAI/article/view/29580/30976; https://ojs.aaai.org/index.php/AAAI/article/view/29580

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https://doi.org/10.1609/aaai.v38i15.29580

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Authors: Wei, Zimian Dong, Peijie Hui, Zheng et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15814-15822 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, CV: Learning & Optimization for CV, CV: Applications, ML: Deep Neural Architectures and Foundation Models, CV: Representation Learning for Vision, CV: Other Foundations of Computer Vision

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29511/30847; https://ojs.aaai.org/index.php/AAAI/article/view/29511/30848; https://ojs.aaai.org/index.php/AAAI/article/view/29511

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29511
https://doi.org/10.1609/aaai.v38i14.29511

Multi-Objective Bayesian Optimization with Active Preference Learning

Authors: Ozaki, Ryota Ishikawa, Kazuki Kanzaki, Youhei et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14490-14498 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Bayesian Learning, ML: Auto ML and Hyperparameter Tuning, HAI: Human-in-the-loop Machine Learning, ML: Active Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29364/30574; https://ojs.aaai.org/index.php/AAAI/article/view/29364/30575; https://ojs.aaai.org/index.php/AAAI/article/view/29364

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https://doi.org/10.1609/aaai.v38i13.29364

REPrune: Channel Pruning via Kernel Representative Selection

Authors: Park, Mincheol Kim, Dongjin Park, Cheonjun et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14545-14553 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Learning on the Edge & Model Compression, ML: Auto ML and Hyperparameter Tuning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29370/30586; https://ojs.aaai.org/index.php/AAAI/article/view/29370/30587; https://ojs.aaai.org/index.php/AAAI/article/view/29370

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https://doi.org/10.1609/aaai.v38i13.29370

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Authors: Liu, Yu Wan, Runzhe McQueen, James et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 12: AAAI-24 Technical Tracks 12; 14044-14051 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Applications, ML: Auto ML and Hyperparameter Tuning, ML: Clustering, RU: Decision/Utility Theory, RU: Probabilistic Inference

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29313/30478; https://ojs.aaai.org/index.php/AAAI/article/view/29313/30479; https://ojs.aaai.org/index.php/AAAI/article/view/29313

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29313
https://doi.org/10.1609/aaai.v38i12.29313

Federated X-armed Bandit

Authors: Li, Wenjie Song, Qifan Honorio, Jean et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 12: AAAI-24 Technical Tracks 12; 13628-13636 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Online Learning & Bandits, ML: Auto ML and Hyperparameter Tuning, ML: Learning Theory, ML: Optimization, ML: Reinforcement Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29267/30391; https://ojs.aaai.org/index.php/AAAI/article/view/29267/30392; https://ojs.aaai.org/index.php/AAAI/article/view/29267

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29267
https://doi.org/10.1609/aaai.v38i12.29267

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Authors: He, Hongyi Liu, Longjun Zhang, Haonan et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 11: AAAI-24 Technical Tracks 11; 12367-12375 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, CV: Learning & Optimization for CV, ML: Deep Neural Architectures and Foundation Models, ML: Optimization

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29128/30134; https://ojs.aaai.org/index.php/AAAI/article/view/29128/30135; https://ojs.aaai.org/index.php/AAAI/article/view/29128

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29128
https://doi.org/10.1609/aaai.v38i11.29128

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Authors: Giovanelli, Joseph Tornede, Alexander Tornede, Tanja et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 11: AAAI-24 Technical Tracks 11; 12172-12180 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, HAI: Human-in-the-loop Machine Learning, KRR: Preferences

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29106/30091; https://ojs.aaai.org/index.php/AAAI/article/view/29106/30092; https://ojs.aaai.org/index.php/AAAI/article/view/29106

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29106
https://doi.org/10.1609/aaai.v38i11.29106

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

Authors: Chen, Hui Jia, Yinxu Wang, Guanghui et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 10: AAAI-24 Technical Tracks 10; 11294-11301 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Calibration & Uncertainty Quantification, ML: Auto ML and Hyperparameter Tuning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29008/29913; https://ojs.aaai.org/index.php/AAAI/article/view/29008

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29008
https://doi.org/10.1609/aaai.v38i10.29008

Multimodal Graph Neural Architecture Search under Distribution Shifts

Authors: Cai, Jie Wang, Xin Li, Haoyang et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 8: AAAI-24 Technical Tracks 8; 8227-8235 ; 2374-3468 ; 2159-5399

Subject Terms: DMKM: Mining of Visual, Multimedia & Multimodal Data, ML: Auto ML and Hyperparameter Tuning, ML: Graph-based Machine Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/28663/29288; https://ojs.aaai.org/index.php/AAAI/article/view/28663

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/28663
https://doi.org/10.1609/aaai.v38i8.28663

SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training

Authors: Zhu, Chendi Li, Lujun Wu, Yuli et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 7: AAAI-24 Technical Tracks 7; 7722-7730 ; 2374-3468 ; 2159-5399

Subject Terms: CV: Applications, CV: Learning & Optimization for CV, CV: Representation Learning for Vision, CV: Scene Analysis & Understanding, CV: Segmentation, ML: Applications, ML: Auto ML and Hyperparameter Tuning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/28606/29177; https://ojs.aaai.org/index.php/AAAI/article/view/28606/29178; https://ojs.aaai.org/index.php/AAAI/article/view/28606

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/28606
https://doi.org/10.1609/aaai.v38i7.28606

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Authors: Bodily, Paul M. Ventura, Dan

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 1: AAAI-24 Technical Tracks 1; 447-455 ; 2374-3468 ; 2159-5399

Subject Terms: CMS: Computational Creativity, APP: Humanities & Computational Social Science, CSO: Applications, CSO: Constraint Learning and Acquisition, CSO: Constraint Satisfaction, KRR: Knowledge Acquisition, KRR: Preferences, ML: Auto ML and Hyperparameter Tuning, ML: Evaluation and Analysis, RU: Applications, RU: Probabilistic Inference

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/27799/27630; https://ojs.aaai.org/index.php/AAAI/article/view/27799/27631; https://ojs.aaai.org/index.php/AAAI/article/view/27799

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/27799
https://doi.org/10.1609/aaai.v38i1.27799

Mixed-Variable Black-Box Optimisation Using Value Proposal Trees

Authors: Zuo, Yan Nguyen, Vu Dezfouli, Amir et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11506-11514 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Probabilistic Methods

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26360/26132; https://ojs.aaai.org/index.php/AAAI/article/view/26360

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https://doi.org/10.1609/aaai.v37i9.26360

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”

Authors: Zhao, Junbo Ning, Xuefei Liu, Enshu et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11316-11326 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Deep Neural Architectures, ML: Deep Neural Network Algorithms, ML: Ensemble Methods

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26339/26111; https://ojs.aaai.org/index.php/AAAI/article/view/26339

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https://doi.org/10.1609/aaai.v37i9.26339

Dynamic Heterogeneous Graph Attention Neural Architecture Search

Authors: Zhang, Zeyang Zhang, Ziwei Wang, Xin et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11307-11315 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Graph-based Machine Learning, DMKM: Graph Mining, Social Network Analysis & Community Mining, DMKM: Mining of Spatial, Temporal or Spatio-Temporal Data, ML: Auto ML and Hyperparameter Tuning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26338/26110; https://ojs.aaai.org/index.php/AAAI/article/view/26338

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https://doi.org/10.1609/aaai.v37i9.26338

Learning Conflict-Noticed Architecture for Multi-Task Learning

Authors: Yue, Zhixiong Zhang, Yu Liang, Jie

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11078-11086 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Auto ML and Hyperparameter Tuning, ML: Deep Neural Architectures, CV: Learning & Optimization for CV

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26312/26084; https://ojs.aaai.org/index.php/AAAI/article/view/26312

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https://doi.org/10.1609/aaai.v37i9.26312

Zero-Cost Operation Scoring in Differentiable Architecture Search

Authors: Xiang, Lichuan Dudziak, Lukasz Abdelfattah, Mohamed S. et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10453-10463 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Deep Neural Architectures

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26243/26015; https://ojs.aaai.org/index.php/AAAI/article/view/26243

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https://doi.org/10.1609/aaai.v37i9.26243

Code-Aware Cross-Program Transfer Hyperparameter Optimization

Authors: Wang, Zijia He, Xiangyu Chen, Kehan et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10297-10305 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Auto ML and Hyperparameter Tuning, ML: Transfer, Domain Adaptation, Multi-Task Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26226/25998; https://ojs.aaai.org/index.php/AAAI/article/view/26226

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https://doi.org/10.1609/aaai.v37i9.26226