Suchergebnisse - "ML: Deep Neural Network Algorithms"

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences

Autoren: Feng, Aosong Li, Irene Jiang, Yuang et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 11: AAAI-23 Technical Tracks 11; 12772-12780 ; 2374-3468 ; 2159-5399

Schlagwörter: SNLP: Language Models, ML: Classification and Regression, ML: Deep Neural Network Algorithms, ML: Graph-based Machine Learning, SNLP: Question Answering, SNLP: Text Classification

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26502/26274; https://ojs.aaai.org/index.php/AAAI/article/view/26502

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26502
https://doi.org/10.1609/aaai.v37i11.26502

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization

Autoren: Zhu, Lin Wang, Xinbing Zhou, Chenghu et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11461-11469 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Transfer, Domain Adaptation, Multi-Task Learning, CV: Applications, CV: Language and Vision, CV: Multi-modal Vision, CV: Representation Learning for Vision, ML: Applications, ML: Deep Neural Network Algorithms, ML: Meta Learning, ML: Multimodal Learning, ML: Other Foundations of Machine Learning, ML: Representation Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26355/26127; https://ojs.aaai.org/index.php/AAAI/article/view/26355

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26355
https://doi.org/10.1609/aaai.v37i9.26355

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

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

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

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

Dateibeschreibung: application/pdf

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

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26339
https://doi.org/10.1609/aaai.v37i9.26339

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

Autoren: Zhang, Lei Yan, Xiaodong He, Jianshan et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11254-11261 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Graph-based Machine Learning, ML: Deep Neural Network Algorithms, ML: Representation Learning, ML: Semi-Supervised Learning

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26332/26104; https://ojs.aaai.org/index.php/AAAI/article/view/26332

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26332
https://doi.org/10.1609/aaai.v37i9.26332

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning

Autoren: Zhang, Chenkang Luo, Lei Gu, Bin

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11183-11191 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Representation Learning, ML: Deep Neural Network Algorithms

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26324/26096; https://ojs.aaai.org/index.php/AAAI/article/view/26324

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26324
https://doi.org/10.1609/aaai.v37i9.26324

Neural Integro-Differential Equations

Autoren: Zappala, Emanuele O. Fonseca, Antonio H. de Moberly, Andrew H. et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11104-11112 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Neural Network Algorithms, CSO: Other Foundations of Constraint Satisfaction & Optimization, CSO: Solvers and Tools, ML: Applications, ML: Deep Neural Architectures

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26315/26087; https://ojs.aaai.org/index.php/AAAI/article/view/26315

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26315
https://doi.org/10.1609/aaai.v37i9.26315

Compressing Transformers: Features Are Low-Rank, but Weights Are Not!

Autoren: Yu, Hao Wu, Jianxin

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 11007-11015 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Learning on the Edge & Model Compression, CV: Representation Learning for Vision, ML: Deep Neural Network Algorithms, SNLP: Language Models

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26304/26076; https://ojs.aaai.org/index.php/AAAI/article/view/26304

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26304
https://doi.org/10.1609/aaai.v37i9.26304

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost

Autoren: Yin, Lu Liu, Shiwei Fang, Meng et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10945-10953 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Learning on the Edge & Model Compression, ML: Deep Neural Network Algorithms, ML: Ensemble Methods

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26297/26069; https://ojs.aaai.org/index.php/AAAI/article/view/26297

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26297
https://doi.org/10.1609/aaai.v37i9.26297

T-distributed Spherical Feature Representation for Imbalanced Classification

Autoren: Yang, Xiaoyu Chen, Yufei Yue, Xiaodong et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10825-10833 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Classification and Regression, CV: Medical and Biological Imaging, ML: Deep Neural Network Algorithms

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26284/26056; https://ojs.aaai.org/index.php/AAAI/article/view/26284

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26284
https://doi.org/10.1609/aaai.v37i9.26284

Layout Generation as Intermediate Action Sequence Prediction

Autoren: Yang, Huiting Huang, Danqing Lin, Chin-Yew et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10762-10770 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Generative Models & Autoencoders, CV: Applications, CV: Computational Photography, Image & Video Synthesis, ML: Applications, ML: Deep Neural Network Algorithms, ML: Evaluation and Analysis (Machine Learning)

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26277/26049; https://ojs.aaai.org/index.php/AAAI/article/view/26277

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26277
https://doi.org/10.1609/aaai.v37i9.26277

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion

Autoren: Xu, Zhikang Yue, Xiaodong Lv, Ying et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10657-10665 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Neural Network Algorithms, ML: Classification and Regression, RU: Applications, RU: Uncertainty Representations

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26265/26037; https://ojs.aaai.org/index.php/AAAI/article/view/26265

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26265
https://doi.org/10.1609/aaai.v37i9.26265

Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations

Autoren: Xu, Wuzhe Lu, Yulong Wang, Li

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10629-10636 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Neural Network Algorithms, ML: Applications, ML: Deep Neural Architectures, ML: Transfer, Domain Adaptation, Multi-Task Learning

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26262/26034; https://ojs.aaai.org/index.php/AAAI/article/view/26262

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26262
https://doi.org/10.1609/aaai.v37i9.26262

Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification

Autoren: Xu, Pengyu Xiao, Lin Liu, Bing et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10602-10610 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Multi-Class/Multi-Label Learning & Extreme Classification, ML: Classification and Regression, ML: Deep Generative Models & Autoencoders, SNLP: Text Classification, ML: Deep Neural Network Algorithms, ML: Representation Learning, ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Unsupervised & Self-Supervised Learning, SNLP: Sentiment Analysis and Stylistic Analysis

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26259/26031; https://ojs.aaai.org/index.php/AAAI/article/view/26259

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26259
https://doi.org/10.1609/aaai.v37i9.26259

Towards In-Distribution Compatible Out-of-Distribution Detection

Autoren: Wu, Boxi Jiang, Jie Ren, Haidong et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10333-10341 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Neural Network Algorithms, CV: Applications

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26230/26002; https://ojs.aaai.org/index.php/AAAI/article/view/26230

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26230
https://doi.org/10.1609/aaai.v37i9.26230

Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification

Autoren: Wei, Xin Du, Wei Wan, Huan et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10315-10323 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Classification and Regression, ML: Deep Generative Models & Autoencoders, ML: Deep Neural Network Algorithms

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26228/26000; https://ojs.aaai.org/index.php/AAAI/article/view/26228

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26228
https://doi.org/10.1609/aaai.v37i9.26228

The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models

Autoren: Wang, Li Fu, Zhiguo Zhou, Yingcong et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 8: AAAI-23 Technical Tracks 8; 10149-10156 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Learning Theory, ML: Classification and Regression, ML: Deep Neural Network Algorithms, ML: Optimization, ML: Transparent, Interpretable, Explainable ML

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26209/25981; https://ojs.aaai.org/index.php/AAAI/article/view/26209

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26209
https://doi.org/10.1609/aaai.v37i8.26209

Machines of Finite Depth: Towards a Formalization of Neural Networks

Autoren: Vertechi, Pietro Bergomi, Mattia G.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 8: AAAI-23 Technical Tracks 8; 10061-10068 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Learning Theory, ML: Optimization, ML: Deep Neural Architectures, ML: Deep Neural Network Algorithms, ML: Learning Theory, ML: Auto ML and Hyperparameter Tuning, ML: Transparent, Interpretable, Explainable ML

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26199/25971; https://ojs.aaai.org/index.php/AAAI/article/view/26199

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26199
https://doi.org/10.1609/aaai.v37i8.26199

Kalman Bayesian Neural Networks for Closed-Form Online Learning

Autoren: Wagner, Philipp Wu, Xinyang Huber, Marco F.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 8: AAAI-23 Technical Tracks 8; 10069-10077 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Bayesian Learning, ML: Deep Neural Network Algorithms, ML: Online Learning & Bandits, ML: Deep Learning Theory

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26200/25972; https://ojs.aaai.org/index.php/AAAI/article/view/26200

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26200
https://doi.org/10.1609/aaai.v37i8.26200

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces

Autoren: Vahidian, Saeed Morafah, Mahdi Wang, Weijia et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 8: AAAI-23 Technical Tracks 8; 10043-10052 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Deep Neural Network Algorithms, ML: Distributed Machine Learning & Federated Learning

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26197/25969; https://ojs.aaai.org/index.php/AAAI/article/view/26197

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26197
https://doi.org/10.1609/aaai.v37i8.26197

A Fair Generative Model Using LeCam Divergence

Autoren: Um, Soobin Suh, Changho

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 8: AAAI-23 Technical Tracks 8; 10034-10042 ; 2374-3468 ; 2159-5399

Schlagwörter: ML: Bias and Fairness, CV: Bias, Fairness & Privacy, ML: Deep Generative Models & Autoencoders, ML: Deep Neural Network Algorithms

Dateibeschreibung: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26196/25968; https://ojs.aaai.org/index.php/AAAI/article/view/26196

Verfügbarkeit: https://ojs.aaai.org/index.php/AAAI/article/view/26196
https://doi.org/10.1609/aaai.v37i8.26196