Koh, Pang Wei W

8 publications

NeurIPS 2023 Are Aligned Neural Networks Adversarially Aligned? Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Pang Wei W Koh, Daphne Ippolito, Florian Tramer, Ludwig Schmidt

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

NeurIPS 2023 On the Trade-Off of Intra-/Inter-Class Diversity for Supervised Pre-Training Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei W Koh, Alexander J Ratner

NeurIPS 2023 Proximity-Informed Calibration for Deep Neural Networks Miao Xiong, Ailin Deng, Pang Wei W Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

NeurIPS 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei W Koh, Chelsea Finn

NeurIPS 2019 On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei W Koh, Kai-Siang Ang, Hubert Teo, Percy Liang

NeurIPS 2019 Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei W Koh, Stefano Ermon

NeurIPS 2017 Certified Defenses for Data Poisoning Attacks Jacob Steinhardt, Pang Wei W Koh, Percy Liang