Aerin Kim

According to our database, Aerin Kim authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

The Tug-of-War Between Deepfake Generation and Detection.

Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni

CoRR, 2024

DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection.

Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni

CoRR, 2024

Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding.

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

CoRR, 2024

2023

Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing.

Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi

CoRR, 2023

2022

GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction.

Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles.

Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga

CoRR, 2021

Natural Adversarial Objects.

Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu

CoRR, 2021

On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models.

Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson

CoRR, 2021

DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates.

John Pougué-Biyong, Valentina Semenova, Alexandre Matton, Rachel Han, Aerin Kim, Renaud Lambiotte, Doyne Farmer

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset.

Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2018

Stochastic Answer Networks for SQuAD 2.0.

Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao

CoRR, 2018