- [new] Statistical Test for Attention Map in Vision Transformer Paper Code T. Shiraishi, D. Miwa, T. Katsuoka, V.N.L. Duy, K. Taji, I. Takeuchi International Conference on Machine Learning (ICML 2024). Acceptance rate 27.5%.
- CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference Paper V.N.L. Duy, H.-T. Lin, I. Takeuchi International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Acceptance rate 27.6%.
- Valid P-Value for Deep Learning-Driven Salient Region Paper Code D. Miwa, V.N.L. Duy (co-first), I. Takeuchi International Conference on Learning Representations (ICLR 2023). Acceptance rate 31.8%.
- More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Paper Code V.N.L. Duy, I. Takeuchi Journal of Machine Learning Research (JMLR), 2022. IF in 2018 = 4.091.
- Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Paper Code V.N.L. Duy, S. Iwazaki, I. Takeuchi Neural Information Processing Systems (NeurIPS 2022). Acceptance rate 25.6%.
- Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming V.N.L. Duy, H. Toda (co-first), R. Sugiyama, I. Takeuchi Neural Information Processing Systems (NeurIPS 2020). Accepted as Spotlight, top 4.0% = (105+280)/9454. Paper Code Spotlight Talk Poster