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2020 – today
- 2024
[j4]Toan Nguyen
, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le:
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250: 123901 (2024)- [c23]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS 2024: 1084-1092 - [c22]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI 2024: 3120-3127 - [c21]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI 2024: 166-174 - [c20]Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta:
Improving Diversity in Black-Box Few-Shot Knowledge Distillation. ECML/PKDD (2) 2024: 178-196 - [c19]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. WACV 2024: 2778-2787 - [i28]Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen:
Variational Flow Models: Flowing in Your Style. CoRR abs/2402.02977 (2024) - [i27]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR abs/2402.03577 (2024) - [i26]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR abs/2404.11870 (2024) - [i25]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - 2023
- [j3]Khang Nguyen, Kien Do, Truong Vu, Khoat Than:
Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. 173: 10-16 (2023) - [c18]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c17]Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - [c16]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD 2023: 1746-1757 - [c15]Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh:
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP 2023: 1667-1683 - [i24]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i23]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i22]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. CoRR abs/2310.18598 (2023) - 2022
- [c14]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c13]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c12]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-Box Few-Shot Knowledge Distillation. ECCV (21) 2022: 196-211 - [c11]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) 2022: 283-300 - [c10]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS 2022 - [c9]Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS 2022 - [i21]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR abs/2202.12154 (2022) - [i20]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i19]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i18]Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh:
Defense Against Multi-target Trojan Attacks. CoRR abs/2207.03895 (2022) - [i17]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-box Few-shot Knowledge Distillation. CoRR abs/2207.12106 (2022) - [i16]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR abs/2209.10359 (2022) - [i15]Truong Vu, Kien Do, Khang Nguyen, Khoat Than:
Face Swapping as A Simple Arithmetic Operation. CoRR abs/2211.10812 (2022) - [i14]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR abs/2212.03063 (2022) - 2021
- [c8]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI 2021: 7236-7244 - [c7]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. ICCV 2021: 9908-9918 - [c6]Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta:
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC 2021: 19-33 - [i13]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. CoRR abs/2107.11635 (2021) - [i12]Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Semantic Host-free Trojan Attack. CoRR abs/2110.13414 (2021) - [i11]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. CoRR abs/2112.01853 (2021) - 2020
- [c5]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR 2020 - [c4]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI 2020: 1059-1066 - [i10]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR abs/2009.09443 (2020) - [i9]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR abs/2012.01793 (2020)
2010 – 2019
- 2019
- [j2]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108(10): 1757-1781 (2019) - [c3]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD 2019: 750-760 - [i8]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR abs/1908.09961 (2019) - 2018
- [j1]Kien Do, Truyen Tran, Svetha Venkatesh:
Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. 57(2): 413-435 (2018) - [c2]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. ICPR 2018: 332-337 - [i7]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. CoRR abs/1801.08641 (2018) - [i6]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i5]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR abs/1804.00293 (2018) - [i4]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR abs/1812.09441 (2018) - 2017
- [i3]Kien Do, Truyen Tran, Svetha Venkatesh:
Matrix-centric Neural Networks. CoRR abs/1703.01454 (2017) - 2016
- [c1]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA 2016: 111-125 - [i2]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR abs/1608.04830 (2016) - [i1]Kien Do, Truyen Tran, Svetha Venkatesh:
Multilevel Anomaly Detection for Mixed Data. CoRR abs/1610.06249 (2016)
Coauthor Index
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last updated on 2024-10-30 20:34 CET by the dblp team
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