Dyah Adila
UW-Madison CS Dept. adila@wisc.edu.

Hello! I am currently a PhD student at UW-Madison, advised by Fred Sala.
I am broadly interested in how to build efficient machine learning (ML) solutions that are robust and reliable. I am also interested in exploring the rationales behind ML failure modes (e.g., distribution shift, capturing long-term dependency structure, etc.)
During my master’s at the University of Minnesota, I was fortunate to be advised by Ju Sun. I also worked closely with Dongyeop Kang and with Shashi Shekhar.
Originally, I came from Indonesia and finished my undergrad at NTU Singapore. In my free time, I enjoy reading investigative journalism books and swimming in nature.
news
Jun 14, 2022 | Our paper Causal Omnivore: Fusing Noisy Estimates of Spurious Correlations is accepted to Workshop on Spurious Correlations, Invariance, and Stability at ICML’22! ! ![]() ![]() |
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May 16, 2022 | Our paper Liger: Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision is accepted as an oral at UAI’22! ![]() |
Sep 3, 2021 | Joined UW-Madison as a PhD student ![]() |
selected publications
- ICMLCausal Omnivore: Fusing Noisy Estimates of Spurious CorrelationsIn ICML’22 Workshop on Spurious Correlations, Invariance, and Stability Jun 2022
- UAIShoring Up the Foundations: Fusing Model Embeddings and Weak SupervisionIn Proceedings of the conference on Uncertainty in artificial intelligence Aug 2022
- NeurIPSUnderstanding Out-of-distribution: A Perspective of Data DynamicsIn ICBINB@NeurIPS 2021 Nov 2021