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Journal Articles
- 2015
[j1]Amirreza Shaban, Hamid R. Rabiee
, Mahyar Najibi, Safoora Yousefi:
From Local Similarities to Global Coding: A Framework for Coding Applications. IEEE Trans. Image Process. 24(12): 5074-5085 (2015)
Conference and Workshop Papers
- 2023
- [c2]Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash:
Streaming Active Learning with Deep Neural Networks. ICML 2023: 30005-30021 - 2019
- [c1]Safoora Yousefi, Yao Nie:
Transfer Learning from Nucleus Detection to Classification in Histopathology Images. ISBI 2019: 957-960
Informal and Other Publications
- 2024
- [i8]Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi:
Eureka: Evaluating and Understanding Large Foundation Models. CoRR abs/2409.10566 (2024) - [i7]Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi:
Improving Instruction-Following in Language Models through Activation Steering. CoRR abs/2410.12877 (2024) - [i6]Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet:
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR abs/2410.13826 (2024) - 2023
- [i5]Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash:
Streaming Active Learning with Deep Neural Networks. CoRR abs/2303.02535 (2023) - [i4]Safoora Yousefi, Leo Betthauser, Hosein Hasanbeig, Akanksha Saran, Raphaël Millière, Ida Momennejad:
In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations. CoRR abs/2310.00313 (2023) - 2022
- [i3]Chen Lin, Safoora Yousefi, Elvis Kahoro, Payam Karisani, Donghai Liang, Jeremy Sarnat, Eugene Agichtein:
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting. CoRR abs/2211.05267 (2022) - 2016
- [i2]Safoora Yousefi, Congzheng Song, Nelson Nauata, Lee Cooper:
Learning Genomic Representations to Predict Clinical Outcomes in Cancer. CoRR abs/1609.08663 (2016) - 2015
- [i1]Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha:
A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media. CoRR abs/1511.04145 (2015)
Coauthor Index
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