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Publication date Communities Collections Article title Author(s) Journal/Conference
11 Dec 2024 SERC Institute for Infocomm Research Uniformly Distributed Feature Representations for Fair and Robust Learning (Pending publish) Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo Transactions on Machine Learning Research
16 Nov 2024 SERC Institute for Infocomm Research Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low Conference on Empirical Methods in Natural Language Processing
27 Sep 2024 SERC Institute for Infocomm Research Box-Level Class-Balanced Sampling For Active Object Detection Jingyi Liao, Xun Xu, Chuan-Sheng Foo, Lile Cai 2024 IEEE International Conference on Image Processing (ICIP)
16 Sep 2024 SERC Institute for Infocomm Research Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias Wenyu Zhang, Qingmu Liu, Felix Ong, Mohamed Ragab, Chuan-Sheng Foo 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
20 Aug 2024 SERC Institute for Infocomm Research Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-training Wenyu Zhang, Li Shen, Chuan-Sheng Foo International Journal of Computer Vision
30 Jul 2024 SERC Institute for Infocomm Research Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning Manas Gupta, Efe Camci, Vishandi Rudy Keneta, Abhishek Vaidyanathan, Ritwik Kanodia, Ashish James, Chuan-Sheng Foo, Min Wu, Jie Lin 2024 IEEE Conference on Artificial Intelligence (CAI)
27 Jul 2024 SERC Institute for Infocomm Research SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
27 Jul 2024 SERC Institute for Infocomm Research Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Brian Kian Hsiang Low International Conference on Machine Learning
27 Jul 2024 SERC Institute for Infocomm Research Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo International Conference on Machine Learning
27 Jul 2024 SERC Institute for Infocomm Research Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low International Conference on Machine Learning