Artificial Intelligence & Machine Learning Lab. (AIM) 

(formerly Statistical Learning for Signal Processing Lab.) Artificial Intelligence & Machine Learning Lab. was established under the guidance of Professor Chang D. Yoo at KAIST. Using various machine learning theories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.  

For the Direction to Our Lab, Please Click Here.

 [Lab. Introduction]  [연구실 홍보 동영상]

  • AI Fairness Research Center Opening Ceremony Admin
  • Our servers. photo by HJ

Recently Accepted Papers

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Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo. "Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold." in AAAI Confere...
H. Gao, X. Wang, Chang D. Yoo et al., Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Communication (2021).
Leda Sari, Mark Hasegawa-Johnson, and Chang D. Yoo, "Counterfactually Fair Automatic Speech Recognition", IEEE/ACM Transactions on Audio, Speech and Language Processing, 2...
Thanh Nguyen*, Tung Luu*, Thang Vu, Chang Yoo, "Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model", The 202...

AIM Lab. News

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In this spring semester of 2022, AIM lab has 3 new master students. Welcome to our AIM lab!!
하단 링크 참조. 관련 영상 관련 기사
Ph.D & MS Candidates for Spring Semester, 2022 AIM would like to welcome all students who are interested in joining the lab. Feel free to send an e-mail to Professor o...
Congratulations. AIM Lab is now carrying out the 2021 SW-STAR Lab Project.This year, 6 Labs including AIM Lab are selected as the national research project lab "software S...