Aerin Kim - RankMe

15 papers A* 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024. CoRR Nuria Alina Chandra, Ryan Murtfeldt, Lin Qiu, Arnab Karmakar, Hannah Lee, Emmanuel Tanumihardja, Kevin Farhat, Ben Caffee, Sejin Paik, Changyeon Lee, Jongwook Choi, Aerin Kim, Oren Etzioni
2024	J	`jnl`	DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. CoRR Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni
2024	J	`jnl`	Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing. SIAM J. Math. Data Sci. Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
2024	J	`jnl`	Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding. CoRR 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
2024	J	`jnl`	The Tug-of-War Between Deepfake Generation and Detection. CoRR Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
2023	J	`jnl`	Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
2022	A*	`conf`	GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CVPR Kareem M. Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
2022	J	`jnl`	GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CoRR Kareem M. Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
2021	J	`jnl`	CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. CoRR Kareem M. Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
2021	—	`conf`	DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates. NeurIPS Datasets and Benchmarks John Pougué-Biyong, Valentina Semenova, Alexandre Matton, Rachel Han, Aerin Kim, Renaud Lambiotte, Doyne Farmer
2021	—	`conf`	Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. CVPR Workshops Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
2021	J	`jnl`	Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. CoRR Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri
2021	J	`jnl`	Natural Adversarial Objects. CoRR Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu
2021	J	`jnl`	On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. CoRR Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson
2018	J	`jnl`	Stochastic Answer Networks for SQuAD 2.0. CoRR Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao