Thanh-Toan Do

7

Papers

17

Total Citations

Papers (7)

Learning to Complement and to Defer to Multiple Users

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Enhancing Dataset Distillation via Non-Critical Region Refinement

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Sharpness-Aware Data Generation for Zero-shot Quantization