11 papers
LLM as Detector: An In-context Learning Approach for Tabular Anomaly Detection
Tu Anh Hoang Nguyen, Dang Nguyen, Thuc Duy Le +2
Anomaly detection in tabular data is challenging because abnormal samples often arise as violations of cross-feature dependencies rather than simple marginal deviations. Existing d…
TAKE: Trajectory-Aware Knowledge Estimation for Text Dataset Distillation
Tri-Nhan Vo, Dang Nguyen, Sunil Gupta
Large-scale text corpora have become a quiet bottleneck in modern NLP, not just in storage, but in the accumulated cost of training, fine-tuning, and continual learning. We propose…
Improving Diversity in Black-box Few-shot Knowledge Distillation
Tri-Nhan Vo, Dang Nguyen, Kien Do +1
Knowledge distillation (KD) is a well-known technique to effectively compress a large network (teacher) to a smaller network (student) with little sacrifice in performance. However…
Diverse Image Priors for Black-box Data-free Knowledge Distillation
Tri-Nhan Vo, Dang Nguyen, Trung Le +2
Knowledge distillation (KD) represents a vital mechanism to transfer expertise from complex teacher networks to efficient student models. However, in decentralized or secure AI eco…
High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions
Giang Ngo, Dat Phan Trong, Dang Nguyen +1
Level set estimation (LSE) classifies whether an unknown function's value exceeds a specified threshold for given inputs, a fundamental problem in many real-world applications. In…
Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
Giang Ngo, Dat Phan Trong, Dang Nguyen +2
Bayesian Optimization critically depends on the choice of acquisition function, but no single strategy is universally optimal; the best choice is non-stationary and problem-depende…
Causal-Aware Tabular GANs with Reinforcement Learning
Tu Anh Hoang Nguyen, Dang Nguyen, Tri-Nhan Vo +3
Existing tabular data generation methods primarily focus on matching statistical distributions between real and synthetic data, often overlooking the preservation of underlying cau…
Few-shot Algorithm Assurance
Dang Nguyen, Sunil Gupta
In image classification tasks, deep learning models are vulnerable to image distortion. For successful deployment, it is important to identify distortion levels under which the mod…
Generating Realistic Tabular Data with Large Language Models
Dang Nguyen, Sunil Gupta, Kien Do +2
While most generative models show achievements in image data generation, few are developed for tabular data generation. Recently, due to success of large language models (LLM) in d…
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
Giang Ngo, Dang Nguyen, Sunil Gupta
The objective of active level set estimation for a black-box function is to precisely identify regions where the function values exceed or fall below a specified threshold by itera…
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
Giang Ngo, Dang Nguyen, Dat Phan-Trong +1
A common problem encountered in many real-world applications is level set estimation where the goal is to determine the region in the function domain where the function is above or…