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Hoang T, Rana S, Gupta S and Venkatesh S (2024), "Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection", In Winter Conference on Applications of Computer Vision (WACV). , pp. 4819-4828.
BibTeX:
@inproceedings{Hoang_2024_WACV,
  author = {Hoang, Tuan and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
  title = {Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection},
  booktitle = {Winter Conference on Applications of Computer Vision (WACV)},
  year = {2024},
  pages = {4819--4828},
  note = {(A conference)}
}
Ryan S, Sushma NM, Arun Kumar AV, Berk J, Hashem T, Rana S and Venkatesh S (2024), "Machine learning for predicting the outcome of terminal ballistics events", Defence Technology. Vol. 31, pp. 14-26. Elsevier.
BibTeX:
@article{ryan2024machine,
  author = {Ryan, Shannon and Sushma, Neeraj Mohan and AV, Arun Kumar and Berk, Julian and Hashem, Tahrima and Rana, Santu and Venkatesh, Svetha},
  title = {Machine learning for predicting the outcome of terminal ballistics events},
  journal = {Defence Technology},
  publisher = {Elsevier},
  year = {2024},
  volume = {31},
  pages = {14--26},
  note = {(Q1 journal)}
}
Nguyen-Thai B, Le V, Tieu N-DT, Tran T, Venkatesh S and Ramzan N (2024), "Learning evolving relations for multivariate time series forecasting", Applied Intelligence. , pp. 1-15.
BibTeX:
@article{binh2024learning,
  author = {Binh Nguyen-Thai and Vuong Le and Ngoc-Dung T. Tieu and Truyen Tran and Svetha Venkatesh and Naeem Ramzan},
  title = {Learning evolving relations for multivariate time series forecasting},
  journal = {Applied Intelligence},
  year = {2024},
  pages = {1--15},
  note = {(Q2 journal)}
}
Nguyen P, Tran T, Gupta S, Nguyen T and Venkatesh S (2024), "Root Cause Explanation of Outliers under Noisy Mechanisms", In AAAI Conference on Artificial Intelligence (AAAI). , pp. 20508-20515.
BibTeX:
@inproceedings{phuoc2024aaai,
  author = {Nguyen, Phuoc and Tran, Truyen and Gupta, Sunil and Nguyen, Thin and Venkatesh, Svetha},
  title = {Root Cause Explanation of Outliers under Noisy Mechanisms},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  pages = {20508--20515},
  note = {(A* conference)}
}
Nguyen D, Le H, Do K, Venkatesh S and Tran T (2024), "Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach", In International Joint Conference on Artificial Intelligence (IJCAI). , pp. 166-174.
BibTeX:
@inproceedings{nguyen2024tom,
  author = {Nguyen, Dung and Le, Hung and Do, Kien and Venkatesh, Svetha and Tran, Truyen},
  title = {Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2024},
  pages = {166--174},
  note = {(A* conference)},
  doi = {10.24963/ijcai.2024/19}
}
Nguyen H, Le H and Venkatesh S (2024), "Variable-Agnostic Causal Exploration for Reinforcement Learning", In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). , pp. Accepted on 27/05/2024.
BibTeX:
@inproceedings{nguyen2024variable,
  author = {Nguyen, Hoang and Le, Hung and Venkatesh, Svetha},
  title = {Variable-Agnostic Causal Exploration for Reinforcement Learning},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
  year = {2024},
  pages = {Accepted on 27/05/2024},
  note = {(A conference)}
}
Arun Kumar AV, Alistair S, Sunil G, Santu R, Stewart G and Svetha V (2024), "Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties", In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). , pp. Accepted on 27/05/2024.
BibTeX:
@inproceedings{arun2024boap,
  author = {Arun Kumar, Anjanapura Venkatesh and Alistair, Shilton and Sunil, Gupta and Santu, Rana and Stewart, Greenhill and Svetha, Venkatesh},
  title = {Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
  year = {2024},
  pages = {Accepted on 27/05/2024},
  note = {(A conference)}
}
Do K, Nguyen D, Le H, Le T, Nguyen D, Harikumar H, Tran T, Rana S and Svetha V (2024), "Revisiting the Dataset Bias Problem from a Statistical Perspective", In European Conference on Artificial Intelligence (ECAI). , pp. Accepted on 05/07/2024.
BibTeX:
@inproceedings{do2024revisiting,
  author = {Do, Kien and Nguyen, Dung and Le, Hung and Le, Thao and Nguyen, Dang and Harikumar, Haripriya and Tran, Truyen and Rana, Santu and Svetha, Venkatesh},
  title = {Revisiting the Dataset Bias Problem from a Statistical Perspective},
  booktitle = {European Conference on Artificial Intelligence (ECAI)},
  year = {2024},
  pages = {Accepted on 05/07/2024},
  note = {(A conference)}
}
Do D, Le H, Tran Q and Venkatesh S (2024), "Large Language Model Prompting With Episodic Memory", In European Conference on Artificial Intelligence (ECAI). , pp. Accepted on 05/07/2024.
BibTeX:
@inproceedings{do2024large,
  author = {Do, Dai and Le, Hung and Tran, Quan and Venkatesh, Svetha},
  title = {Large Language Model Prompting With Episodic Memory},
  booktitle = {European Conference on Artificial Intelligence (ECAI)},
  year = {2024},
  pages = {Accepted on 05/07/2024},
  note = {(A conference)}
}
Nguyen D, Gupta S, Do K, Nguyen T and Venkatesh S (2024), "Generating Realistic Tabular Data with Large Language Model", In International Conference on Data Mining (ICDM). , pp. (accepted on 06 Sep. 2024).
BibTeX:
@inproceedings{nguyen2024tabular,
  author = {Nguyen, Dang and Gupta, Sunil and Do, Kien and Nguyen, Thin and Venkatesh, Svetha},
  title = {Generating Realistic Tabular Data with Large Language Model},
  booktitle = {International Conference on Data Mining (ICDM)},
  year = {2024},
  pages = {(accepted on 06 Sep. 2024)},
  note = {(A* conference)}
}
Quoc Phong N, Sunil G, Svetha V, Bryan Kian HL and Patrick J (2024), "Active set ordering", In Conference on Neural Information Processing Systems (NeurIPS). , pp. (accepted on 26 Sep. 2024).
BibTeX:
@inproceedings{nguyen24active,
  author = {Quoc Phong, Nguyen and Sunil, Gupta and Svetha, Venkatesh and Bryan Kian, Hsiang Low and Patrick, Jaillet},
  title = {Active set ordering},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  pages = {(accepted on 26 Sep. 2024)},
  note = {(A* conference)}
}
Hoang Tuan Tran H, Rana S, Gupta S and Venkatesh S (2024), "Revisiting sample weights based method for noisy-label detection and classification", In Asian Conference on Computer Vision (ACCV). , pp. (accepted on 20 Sep. 2024).
BibTeX:
@inproceedings{Hoang_2024_ACCV,
  author = {Hoang, Tuan Tran, Hung and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
  title = {Revisiting sample weights based method for noisy-label detection and classification},
  booktitle = {Asian Conference on Computer Vision (ACCV)},
  year = {2024},
  pages = {(accepted on 20 Sep. 2024)},
  note = {(B conference)}
}