Search Results - "ML: Deep Learning Algorithms"

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Authors: Bulatov, Aydar Kuratov, Yuri Kapushev, Yermek et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 16: AAAI-24 Technical Tracks 16; 17700-17708 ; 2374-3468 ; 2159-5399

Subject Terms: NLP: (Large) Language Models, ML: Deep Learning Algorithms, NLP: Generation

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29722/31239; https://ojs.aaai.org/index.php/AAAI/article/view/29722/31240; https://ojs.aaai.org/index.php/AAAI/article/view/29722

Availability: https://ojs.aaai.org/index.php/AAAI/article/view/29722
https://doi.org/10.1609/aaai.v38i16.29722

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Authors: Zhuge, Zhengyang Wang, Jiaxing Li, Yong et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17245-17253 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Unsupervised & Self-Supervised Learning, CV: Learning & Optimization for CV, ML: Deep Learning Algorithms, ML: Deep Neural Architectures and Foundation Models, ML: Representation Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29671/31147; https://ojs.aaai.org/index.php/AAAI/article/view/29671/31148; https://ojs.aaai.org/index.php/AAAI/article/view/29671

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https://doi.org/10.1609/aaai.v38i15.29671

Robust Node Classification on Graph Data with Graph and Label Noise

Authors: Zhu, Yonghua Feng, Lei Deng, Zhenyun et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17220-17227 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Graph-based Machine Learning, ML: Deep Learning Algorithms, ML: Representation Learning, ML: Semi-Supervised Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29668/31141; https://ojs.aaai.org/index.php/AAAI/article/view/29668/31142; https://ojs.aaai.org/index.php/AAAI/article/view/29668

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https://doi.org/10.1609/aaai.v38i15.29668

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Authors: Zhu, Pengfei Wang, Qian Wang, Yu et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17184-17192 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Unsupervised & Self-Supervised Learning, ML: Clustering, ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29664/31133; https://ojs.aaai.org/index.php/AAAI/article/view/29664/31134; https://ojs.aaai.org/index.php/AAAI/article/view/29664

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https://doi.org/10.1609/aaai.v38i15.29664

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

Authors: Zhou, Qihua Guo, Jingcai Guo, Song et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17123-17131 ; 2374-3468 ; 2159-5399

Subject Terms: General, ML: Applications, ML: Deep Learning Algorithms, ML: Evaluation and Analysis, ML: Feature Construction/Reformulation, ML: Adversarial Learning & Robustness

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29657/31119; https://ojs.aaai.org/index.php/AAAI/article/view/29657/31120; https://ojs.aaai.org/index.php/AAAI/article/view/29657

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https://doi.org/10.1609/aaai.v38i15.29657

Knowledge-Aware Parameter Coaching for Personalized Federated Learning

Authors: Zhi, Mingjian Bi, Yuanguo Xu, Wenchao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17069-17077 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Learning Algorithms, ML: Distributed Machine Learning & Federated Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29651/31107; https://ojs.aaai.org/index.php/AAAI/article/view/29651/31108; https://ojs.aaai.org/index.php/AAAI/article/view/29651

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https://doi.org/10.1609/aaai.v38i15.29651

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks

Authors: Zhao, Zhe Wang, Pengkun Wen, Haibin et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17042-17050 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transparent, Interpretable, Explainable ML, ML: Deep Learning Algorithms, ML: Deep Learning Theory, ML: Graph-based Machine Learning, ML: Information Theory, ML: Representation Learning, ML: Semi-Supervised Learning, ML: Transfer, Domain Adaptation, Multi-Task Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29648/31102; https://ojs.aaai.org/index.php/AAAI/article/view/29648

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https://doi.org/10.1609/aaai.v38i15.29648

Learning Visual Abstract Reasoning through Dual-Stream Networks

Authors: Zhao, Kai Xu, Chang Si, Bailu

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16979-16988 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Learning Algorithms, CV: Visual Reasoning & Symbolic Representations

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29641/31088; https://ojs.aaai.org/index.php/AAAI/article/view/29641/31089; https://ojs.aaai.org/index.php/AAAI/article/view/29641

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https://doi.org/10.1609/aaai.v38i15.29641

Symmetric Self-Paced Learning for Domain Generalization

Authors: Zhao, Di Koh, Yun Sing Dobbie, Gillian et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16961-16969 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29639/31084; https://ojs.aaai.org/index.php/AAAI/article/view/29639/31085; https://ojs.aaai.org/index.php/AAAI/article/view/29639

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https://doi.org/10.1609/aaai.v38i15.29639

Cached Transformers: Improving Transformers with Differentiable Memory Cachde

Authors: Zhang, Zhaoyang Shao, Wenqi Ge, Yixiao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16935-16943 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Deep Learning Algorithms, ML: Transparent, Interpretable, Explainable ML, ML: Unsupervised & Self-Supervised Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29636/31079; https://ojs.aaai.org/index.php/AAAI/article/view/29636

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https://doi.org/10.1609/aaai.v38i15.29636

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

Authors: Zhang, Rongchao Lou, Yiwei Xu, Dexuan et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16803-16811 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Learning Algorithms, APP: Security, ML: Applications, ML: Deep Neural Architectures and Foundation Models, ML: Privacy

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29621/31053; https://ojs.aaai.org/index.php/AAAI/article/view/29621/31054; https://ojs.aaai.org/index.php/AAAI/article/view/29621

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https://doi.org/10.1609/aaai.v38i15.29621

Multi-Label Supervised Contrastive Learning

Authors: Zhang, Pingyue Wu, Mengyue

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16786-16793 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Multi-class/Multi-label Learning & Extreme Classification, ML: Representation Learning, ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29619/31049; https://ojs.aaai.org/index.php/AAAI/article/view/29619/31050; https://ojs.aaai.org/index.php/AAAI/article/view/29619

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https://doi.org/10.1609/aaai.v38i15.29619

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations

Authors: Zhang, Hansong Li, Shikun Zeng, Dan et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16732-16740 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Classification and Regression, HAI: Crowd Sourcing and Human Computation, ML: Deep Learning Algorithms, ML: Optimization, ML: Representation Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29613/31038; https://ojs.aaai.org/index.php/AAAI/article/view/29613/31039; https://ojs.aaai.org/index.php/AAAI/article/view/29613

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https://doi.org/10.1609/aaai.v38i15.29613

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Authors: Yuan, Yige Xu, Bingbing Lin, Bo et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16614-16622 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Adversarial Learning & Robustness, CV: Adversarial Attacks & Robustness, ML: Deep Learning Algorithms, ML: Deep Learning Theory

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29600/31012; https://ojs.aaai.org/index.php/AAAI/article/view/29600/31013; https://ojs.aaai.org/index.php/AAAI/article/view/29600

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https://doi.org/10.1609/aaai.v38i15.29600

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization

Authors: Yan, Yan Guo, Yuhong

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16272-16280 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Distributed Machine Learning & Federated Learning, ML: Classification and Regression, ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29562/30943; https://ojs.aaai.org/index.php/AAAI/article/view/29562/30944; https://ojs.aaai.org/index.php/AAAI/article/view/29562

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https://doi.org/10.1609/aaai.v38i15.29562

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Authors: Yalavarthi, Vijaya Krishna Madhusudhanan, Kiran Scholz, Randolf et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16255-16263 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Time-Series/Data Streams, ML: Classification and Regression, ML: Deep Learning Algorithms, ML: Graph-based Machine Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29560/30939; https://ojs.aaai.org/index.php/AAAI/article/view/29560/30940; https://ojs.aaai.org/index.php/AAAI/article/view/29560

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https://doi.org/10.1609/aaai.v38i15.29560

Residual Hyperbolic Graph Convolution Networks

Authors: Xue, Yangkai Dai, Jindou Lu, Zhipeng et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16247-16254 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Learning with Manifolds, ML: Deep Learning Algorithms, ML: Optimization

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29559/30937; https://ojs.aaai.org/index.php/AAAI/article/view/29559/30938; https://ojs.aaai.org/index.php/AAAI/article/view/29559

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https://doi.org/10.1609/aaai.v38i15.29559

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Authors: Xu, Zhengqin Zhang, Yulun Ma, Chao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 16228-16236 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Deep Learning Algorithms, ML: Deep Learning Theory, ML: Graph-based Machine Learning, ML: Semi-Supervised Learning, ML: Transparent, Interpretable, Explainable ML, ML: Unsupervised & Self-Supervised Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29557/30933; https://ojs.aaai.org/index.php/AAAI/article/view/29557/30934; https://ojs.aaai.org/index.php/AAAI/article/view/29557

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https://doi.org/10.1609/aaai.v38i14.29557

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts

Authors: Xie, Zhitian Zhang, Yinger Zhuang, Chenyi et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 16067-16075 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29539/30897; https://ojs.aaai.org/index.php/AAAI/article/view/29539/30898; https://ojs.aaai.org/index.php/AAAI/article/view/29539

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https://doi.org/10.1609/aaai.v38i14.29539

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Authors: Xiao, Jingge Basso, Leonie Nejdl, Wolfgang et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 16023-16031 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Learning Algorithms, ML: Classification and Regression, ML: Deep Generative Models & Autoencoders, ML: Deep Learning Theory, ML: Deep Neural Architectures and Foundation Models, ML: Representation Learning, ML: Time-Series/Data Streams

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29534/30888; https://ojs.aaai.org/index.php/AAAI/article/view/29534/30889; https://ojs.aaai.org/index.php/AAAI/article/view/29534

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https://doi.org/10.1609/aaai.v38i14.29534