| Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics |
Gun-Hee Lee, Seong-Whan Lee |
2021-10-11 |
ICCV 2021 |
Korea Uni. |
| Robustifying Multi-hop QA through Pseudo-Evidentiality Training |
Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee |
2021-10-02 |
ACL 2021 |
Yonsei Uni., Seoul National Uni. |
| Explaining the Decisions of Deep Policy Networks for Robotic Manipulations |
Seongun Kim and Jaesik Choi |
2021-10-01 |
IEEE 2022 |
KAIST |
| Interpretation of Lesional Detection via Counterfactual Generation |
Junho Kim, Minsu Kim, Yong Man Ro |
2021-09-19 |
IEEE ICIP 2021 |
KAIST |
| Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes |
Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi |
2021-08-14 |
KDD 2021 |
KAIST, UNIST, INEEJI |
| OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation |
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim |
2021-07-21 |
ICML 2021 |
KAIST, Quebec AI Institute, McGill University, Gauss Labs, Facebook AI Research |
| Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection |
Qin Xie, Peng Zhang, Boseon Yu and Jaesik Choi |
2021-07-21 |
IEEE 2022 |
UNIST, KAIST |
| Conditional Temporal Neural Process with Covariance Loss |
Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi |
2021-07-18 |
ICML 2021 |
KAIST, UNIST, INEEJI |
| Predicting potentially hazardous chemical reactions using an explainable neural network |
Juhwan Kim, Geun Ho Gu, Juhwan Noh, Seongun Kim, Suji Gim, Jaesik Choi and Yousung Jung |
2021-07-13 |
Chem 2021 |
KAIST, Korea Uni., Samsung Electronics |
| Automatic Correction of Internal Units in Generative Neural Networks |
Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi |
2021-06-23 |
CVPR-2021 |
KAIST, UNIST, INEEJI |
