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2020 – today
- 2024
[i10]Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho:
Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding. CoRR abs/2401.04575 (2024)- [i9]Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni:
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. CoRR abs/2406.00856 (2024) - [i8]Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni:
The Tug-of-War Between Deepfake Generation and Detection. CoRR abs/2407.06174 (2024) - 2023
- [i7]Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi:
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR abs/2301.12554 (2023) - 2022
- [c3]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CVPR 2022: 4825-4836 - [i6]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CoRR abs/2203.03079 (2022) - 2021
- [c2]Matthew Groh
, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. CVPR Workshops 2021: 1820-1828 - [c1]John Pougué-Biyong, Valentina Semenova, Alexandre Matton, Rachel Han, Aerin Kim, Renaud Lambiotte, Doyne Farmer:
DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates. NeurIPS Datasets and Benchmarks 2021 - [i5]Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. CoRR abs/2104.09957 (2021) - [i4]Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson:
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. CoRR abs/2108.00114 (2021) - [i3]Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu:
Natural Adversarial Objects. CoRR abs/2111.04204 (2021) - [i2]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. CoRR abs/2111.08243 (2021)
2010 – 2019
- 2018
- [i1]Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for SQuAD 2.0. CoRR abs/1809.09194 (2018)
Coauthor Index
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