PARAMETERIZED RATE-DISTORTION STOCHASTIC ENCODER

von Hoang, Quan
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

OTLDA: A GEOMETRY-AWARE OPTIMAL TRANSPORT APPROACH FOR TOPIC MODELING

von Huynh, Viet
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

A Self-attention Network Based Node Embedding Model

von Nguyen, Dai Quoc
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 3 (2021)

Exploiting Domain-Specific Features to Enhance Domain Generalization

von Bui, Manh-Ha
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

von Zheng, Chuanxia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

LAMDA: LABEL MATCHING DEEP DOMAIN ADAPTATION

von LE, TRUNG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

Two-View Graph Neural Networks for Knowledge Graph Completion

von Tong, Vinh
Veröffentlicht in ESWC (20. : 2023 : Chersonēsos) The semantic web (2023)

Stochastic Multiple Target Sampling Gradient Descent

von Phan, Hoang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

MOST: MULTI-SOURCE DOMAIN ADAPTATION VIA OPTIMAL TRANSPORT FOR STUDENT-TEACHER LEARNING

von Nguyen, Tuan
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 1 of 3 (2022)

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection

von Nguyen, Van
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)

Improving Adversarial Robustness by Enforcing Local and Global Compactness

von Bui, Anh
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 27 (2020)

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources

von Phung, Trung
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection

von Nguyen, Tuan
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 2 (2020)

Advances in knowledge discovery and data mining : 22nd Pacific-Asia conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 : proceedings

Veröffentlicht 2018

On Transportation of Mini-Batches: A Hierarchical Approach

von Nguyen, Khai
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)

Advances in knowledge discovery and data mining : 22nd Pacific-Asia conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 : proceedings

Veröffentlicht 2018

Advances in knowledge discovery and data mining : 22nd Pacific-Asia conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 : proceedings

Veröffentlicht 2018

Code Action Network for Binary Function Scope Identification

von Nguyen, Van
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)

Advances in knowledge discovery and data mining : 22nd Pacific-Asia conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018 : proceedings