Aerin Kim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Adaptive Smoothing

Learning Models

Autonomous Vehicles

Top Venues

NeurIPS Datasets and Benchmarks

Publications

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 (2024)
Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
The Tug-of-War Between Deepfake Generation and Detection. CoRR (2024)
Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. CoRR (2024)
Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR (2023)
Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CVPR (2022)
Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CoRR (2022)
Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. CoRR (2021)
Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu
Natural Adversarial Objects. CoRR (2021)
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 (2021)
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 (2021)
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)
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)
Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao
Stochastic Answer Networks for SQuAD 2.0. CoRR (2018)