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2020 – today
- 2024
[i6]Jiwoo Hong, Noah Lee, James Thorne:
ORPO: Monolithic Preference Optimization without Reference Model. CoRR abs/2403.07691 (2024)- [i5]Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR abs/2406.05761 (2024) - [i4]Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong:
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR abs/2406.06424 (2024) - 2023
- [c17]Noah Lee, Na An, James Thorne:
Can Large Language Models Capture Dissenting Human Voices? EMNLP 2023: 4569-4585 - [c16]Noah Lee, Patrick W. Moore, Laura J. Brattain:
Scalable Deep Learning for Pilot Performance Analysis Using Multimodal Physiological Time Series. HPEC 2023: 1-6 - [c15]Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. HPEC 2023: 1-7 - [i3]Noah Lee, Na Min An, James Thorne:
Can Large Language Models Infer and Disagree Like Humans? CoRR abs/2305.13788 (2023) - [i2]Kevin Vogt-Lowell, Noah Lee, Theodoros Tsiligkaridis, Marc Vaillant:
Robust Fine-Tuning of Vision-Language Models for Domain Generalization. CoRR abs/2311.02236 (2023) - [i1]Noah Lee, Hyunwoo Park, Sangho Shim:
Redrawing the 2012 map of the Maryland congressional districts. CoRR abs/2312.03901 (2023) - 2022
- [c14]Noah Lee, Rui Abreu, Mehmet Yatbaz, Hang Qu, Nachiappan Nagappan:
The Engineering Implications of Code Maintenance in Practice. ICSME 2022: 568-577 - [c13]Noah Lee, Rui Abreu, Nachiappan Nagappan:
Code Quality Prediction Under Super Extreme Class Imbalance. ISSRE Workshops 2022: 99-104 - [c12]Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan:
Workgraph: personal focus vs. interruption for engineers at Meta. ESEC/SIGSOFT FSE 2022: 1390-1397
2010 – 2019
- 2017
- [j3]Arno Klein
, Satrajit S. Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan:
Mindboggling morphometry of human brains. PLoS Comput. Biol. 13(2) (2017) - 2013
- [j2]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine:
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 272-285 (2013) - 2012
- [c11]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi:
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD 2012: 453-461 - 2011
- [b1]Noah Lee:
Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record. Columbia University, USA, 2011 - [c10]Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
Automatic Group Sparse Coding. AAAI 2011: 495-500 - [c9]Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB 2011: 250-257 - [c8]Noah Lee, Andrew F. Laine, Arno Klein:
Towards a deep learning approach to brain parcellation. ISBI 2011: 321-324 - 2010
- [j1]Jian Chen, Jie Tian, Noah Lee, Jian Zheng, R. Theodore Smith, Andrew F. Laine:
A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration. IEEE Trans. Biomed. Eng. 57(7): 1707-1718 (2010)
2000 – 2009
- 2009
- [c7]Jesus J. Caban, Noah Lee, Shahram Ebadollahi, Andrew Laine, John R. Kender:
Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues. ISBI 2009: 418-421 - [c6]Noah Lee, Jesus Caban, Shahram Ebadollahi, Andrew Laine:
Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach. Medical Imaging: Computer-Aided Diagnosis 2009: 72601W - 2008
- [c5]R. Theodore Smith, Noah Lee, Jian Chen, Mihai Busuioc, Andrew F. Laine:
Interactive image analysis in age-related macular degeneration (AMD) and Stargardt disease (STGD). ACSCC 2008: 651-654 - [c4]Noah Lee, R. Theodore Smith, Andrew F. Laine:
Interactive segmentation for geographic atrophy in retinal fundus images. ACSCC 2008: 655-658 - [c3]Noah Lee, Andrew F. Laine, R. Theodore Smith:
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images. ISBI 2008: 1215-1218 - [c2]Noah Lee, Hüseyin Tek, Andrew F. Laine:
True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching. Medical Imaging: Computer-Aided Diagnosis 2008: 69152V - 2006
- [c1]Noah Lee, Matthias Rasch:
Tangential curved planar reformation for topological and orientation invariant visualization of vascular trees. EMBC 2006: 1073-1076
Coauthor Index
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