Sima Didari

According to our database, Sima Didari authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian Active Learning for Semantic Segmentation.

Sima Didari, Wenjun Hu, Jae Oh Woo, Heng Hao, Hankyu Moon, Seungjai Min

CoRR, 2024

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation.

JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract).

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation.

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

CoRR, 2022

2021

PatchNet: Unsupervised Object Discovery based on Patch Embedding.

Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

CoRR, 2021

Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification.

Heng Hao, Sima Didari, Jae Oh Woo, Hankyu Moon, Patrick Bangert

CoRR, 2021