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ORCIDAliasghar Khani
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2020 – today
- 2024
[c2]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. ICLR 2024- [i5]Saeid Asgari Taghanaki, Ali Asghar Khani, Amir Khasahmadi:
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs. CoRR abs/2409.02257 (2024) - 2023
- [j2]Kyungmo Kim, Kyoungbun Lee, Sungduk Cho
, Dong Un Kang, Seongkeun Park, Yunsook Kang, Hyunjeong Kim, Gheeyoung Choe, Kyung Chul Moon, Kyu Sang Lee, Jeong Hwan Park, Choyeon Hong, Ramin Nateghi, Fattaneh Pourakpour, Xiyue Wang, Sen Yang, Seyed Alireza Fatemi Jahromi, Aliasghar Khani, Hwa-Rang Kim, Doo-Hyun Choi, Chang Hee Han, Jin Tae Kwak, Fan Zhang, Bing Han, David Joon Ho, Gyeong Hoon Kang, Se Young Chun, Won-Ki Jeong, Peom Park, Jinwook Choi:
PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 89: 102886 (2023) - [i4]Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri:
Learned Visual Features to Textual Explanations. CoRR abs/2309.00733 (2023) - [i3]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. CoRR abs/2309.03179 (2023) - 2022
- [c1]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS 2022 - [i2]Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR abs/2207.01548 (2022) - [i1]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR abs/2210.00055 (2022) - 2021
- [j1]Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021)
Coauthor Index
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