Search Results - "ML: Deep Generative Models & Autoencoders"

Neural Causal Abstractions

Authors: Xia, Kevin Bareinboim, Elias

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 18: AAAI-24 Technical Tracks 18; 20585-20595 ; 2374-3468 ; 2159-5399

Subject Terms: RU: Causality, ML: Causal Learning, ML: Deep Generative Models & Autoencoders, ML: Representation Learning

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/30044/31837; https://ojs.aaai.org/index.php/AAAI/article/view/30044/31838; https://ojs.aaai.org/index.php/AAAI/article/view/30044

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https://doi.org/10.1609/aaai.v38i18.30044

Layer-Wise Representation Fusion for Compositional Generalization

Authors: Zheng, Yafang Lin, Lei Li, Shuangtao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 17: AAAI-24 Technical Tracks 17; 19706-19714 ; 2374-3468 ; 2159-5399

Subject Terms: NLP: Other, HAI: Other Foundations of Human Computation & AI, ML: Applications, ML: Deep Generative Models & Autoencoders, ML: Deep Neural Architectures and Foundation Models, ML: Representation Learning, NLP: Generation, NLP: Lexical Semantics and Morphology, NLP: Machine Translation, Multilinguality, Cross-Lingual NLP

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29944/31651; https://ojs.aaai.org/index.php/AAAI/article/view/29944

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https://doi.org/10.1609/aaai.v38i17.29944

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

Authors: Yoo, YoungJoon Choi, JongWon

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 17: AAAI-24 Technical Tracks 17; 19422-19430 ; 2374-3468 ; 2159-5399

Subject Terms: NLP: Other, ML: Bayesian Learning, ML: Clustering, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29913/31596; https://ojs.aaai.org/index.php/AAAI/article/view/29913/31597; https://ojs.aaai.org/index.php/AAAI/article/view/29913

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https://doi.org/10.1609/aaai.v38i17.29913

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Authors: Zhao, Yanxuan Zhang, Peng Sun, Guopeng et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17033-17041 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29647/31100; https://ojs.aaai.org/index.php/AAAI/article/view/29647/31101; https://ojs.aaai.org/index.php/AAAI/article/view/29647

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https://doi.org/10.1609/aaai.v38i15.29647

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Authors: Yu, Zihao Li, Haoyang Fu, Fangcheng et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16605-16613 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders, ML: Kernel Methods, CV: Large Vision Models, CV: Multi-modal Vision

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29599/31010; https://ojs.aaai.org/index.php/AAAI/article/view/29599/31011; https://ojs.aaai.org/index.php/AAAI/article/view/29599

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https://doi.org/10.1609/aaai.v38i15.29599

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Authors: Ye, Fei Bors, Adrian G.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16451-16459 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Online Learning & Bandits, ML: Classification and Regression, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29582/30979; https://ojs.aaai.org/index.php/AAAI/article/view/29582/30980; https://ojs.aaai.org/index.php/AAAI/article/view/29582

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https://doi.org/10.1609/aaai.v38i15.29582

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Authors: Ye, Fei Bors, Adrian G.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16442-16450 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Life-Long and Continual Learning, ML: Deep Generative Models & Autoencoders, ML: Ensemble Methods, ML: Scalability of ML Systems

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29581/30977; https://ojs.aaai.org/index.php/AAAI/article/view/29581/30978; https://ojs.aaai.org/index.php/AAAI/article/view/29581

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https://doi.org/10.1609/aaai.v38i15.29581

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

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Authors: Xia , Haochong Sun, Shuo Wang, Xinrun et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15996-16004 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders, ML: Time-Series/Data Streams

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29531/30883; https://ojs.aaai.org/index.php/AAAI/article/view/29531

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https://doi.org/10.1609/aaai.v38i14.29531

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Authors: Wu, Jing Chen, Suiyao Zhao, Qi et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15924-15933 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Representation Learning, ML: Unsupervised & Self-Supervised Learning, ML: Classification and Regression, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29523/30869; https://ojs.aaai.org/index.php/AAAI/article/view/29523

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https://doi.org/10.1609/aaai.v38i14.29523

Hyperbolic Graph Diffusion Model

Authors: Wen, Lingfeng Tang, Xuan Ouyang, Mingjie et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15823-15831 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Graph-based Machine Learning, APP: Humanities & Computational Social Science, APP: Natural Sciences, APP: Social Networks, ML: Deep Generative Models & Autoencoders, ML: Learning with Manifolds

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29512/30849; https://ojs.aaai.org/index.php/AAAI/article/view/29512

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https://doi.org/10.1609/aaai.v38i14.29512

Consistency-GAN: Training GANs with Consistency Model

Authors: Wang, Yunpeng Pang, Meng Chen, Shengbo et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15743-15751 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Adversarial Learning & Robustness, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29503/30833; https://ojs.aaai.org/index.php/AAAI/article/view/29503/30834; https://ojs.aaai.org/index.php/AAAI/article/view/29503

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https://doi.org/10.1609/aaai.v38i14.29503

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity

Authors: Wang, Wenjie Tang, Pengfei Lou, Jian et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15634-15643 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders, ML: Privacy, ML: Time-Series/Data Streams

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29491/30811; https://ojs.aaai.org/index.php/AAAI/article/view/29491/30812; https://ojs.aaai.org/index.php/AAAI/article/view/29491

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https://doi.org/10.1609/aaai.v38i14.29491

Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting

Authors: Wang, Muyao Chen, Wenchao Chen, Bo

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15563-15570 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Time-Series/Data Streams, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29483/30795; https://ojs.aaai.org/index.php/AAAI/article/view/29483/30796; https://ojs.aaai.org/index.php/AAAI/article/view/29483

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https://doi.org/10.1609/aaai.v38i14.29483

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Authors: Theodorou, Brandon Jain, Shrusti Xiao, Cao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15355-15363 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Applications, CSO: Constraint Satisfaction, ML: Deep Generative Models & Autoencoders, ML: Transparent, Interpretable, Explainable ML

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29460/30752; https://ojs.aaai.org/index.php/AAAI/article/view/29460/30753; https://ojs.aaai.org/index.php/AAAI/article/view/29460

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https://doi.org/10.1609/aaai.v38i14.29460

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Authors: Shubham, Kumar Sastry, Pranav AP, Prathosh

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 15020-15028 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Ensemble Methods, ML: Deep Generative Models & Autoencoders, RU: Applications

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29423/30685; https://ojs.aaai.org/index.php/AAAI/article/view/29423/30686; https://ojs.aaai.org/index.php/AAAI/article/view/29423

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https://doi.org/10.1609/aaai.v38i13.29423

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

Authors: Shome, Debaditya Sarkar, Pritam Etemad, Ali

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 15009-15019 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders, ML: Applications, ML: Deep Learning Algorithms, ML: Time-Series/Data Streams

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29422/30683; https://ojs.aaai.org/index.php/AAAI/article/view/29422/30684; https://ojs.aaai.org/index.php/AAAI/article/view/29422

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https://doi.org/10.1609/aaai.v38i13.29422

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Authors: Shin, Hyunjune Choi, Dong-Wan

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14991-14999 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Transfer, Domain Adaptation, Multi-Task Learning, ML: Adversarial Learning & Robustness, ML: Deep Generative Models & Autoencoders, ML: Deep Learning Algorithms

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29420/30679; https://ojs.aaai.org/index.php/AAAI/article/view/29420/30680; https://ojs.aaai.org/index.php/AAAI/article/view/29420

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https://doi.org/10.1609/aaai.v38i13.29420

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion

Authors: Shan, Siyuan Li, Yang Banerjee, Amartya et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14910-14918 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Deep Generative Models & Autoencoders, ML: Applications, ML: Unsupervised & Self-Supervised Learning, NLP: Speech

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29411/30663; https://ojs.aaai.org/index.php/AAAI/article/view/29411/30664; https://ojs.aaai.org/index.php/AAAI/article/view/29411

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https://doi.org/10.1609/aaai.v38i13.29411

Limitations of Face Image Generation

Authors: Rosenberg, Harrison Ahmed, Shimaa Ramesh, Guruprasad et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14838-14846 ; 2374-3468 ; 2159-5399

Subject Terms: ML: Ethics, Bias, and Fairness, CV: Bias, Fairness & Privacy, ML: Deep Generative Models & Autoencoders

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Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29403/30650; https://ojs.aaai.org/index.php/AAAI/article/view/29403

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https://doi.org/10.1609/aaai.v38i13.29403