|Understanding black-box predictions via influence functions|
PW Koh, P Liang
arXiv preprint arXiv:1703.04730, 2017
|Peer and self assessment in massive online classes|
C Kulkarni, PW Koh, H Le, D Chia, K Papadopoulos, J Cheng, D Koller, ...
Design Thinking Research, 131-168, 2015
|On random weights and unsupervised feature learning|
A Saxe, PW Koh, Z Chen, M Bhand, B Suresh, AY Ng
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
|Tiled convolutional neural networks|
J Ngiam, Z Chen, D Chia, PW Koh, QV Le, AY Ng
Advances in Neural Information Processing Systems, 1279-1287, 2010
J Ngiam, PW Koh, Z Chen, SA Bhaskar, AY Ng
Advances in Neural Information Processing Systems, 1125-1133, 2011
|Certified defenses for data poisoning attacks|
J Steinhardt, PW Koh, PS Liang
Advances in neural information processing systems, 3517-3529, 2017
|Mapping the pairwise choices leading from pluripotency to human bone, heart, and other mesoderm cell types|
KM Loh, A Chen, PW Koh, TZ Deng, R Sinha, JM Tsai, AA Barkal, ...
Cell 166 (2), 451-467, 2016
|Learning deep energy models|
J Ngiam, Z Chen, PW Koh, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
|Stronger data poisoning attacks break data sanitization defenses|
PW Koh, J Steinhardt, P Liang
arXiv preprint arXiv:1811.00741, 2018
|Denoising genome-wide histone ChIP-seq with convolutional neural networks|
PW Koh, E Pierson, A Kundaje
Bioinformatics 33 (14), i225-i233, 2017
|Dissecting an online intervention for cancer survivors: four exploratory analyses of internet engagement and its effects on health status and health behaviors|
Z Chen, PW Koh, PL Ritter, K Lorig, EOC Bantum, S Saria
Health education & behavior 42 (1), 32-45, 2015
|An atlas of transcriptional, chromatin accessibility, and surface marker changes in human mesoderm development|
PW Koh, R Sinha, AA Barkal, RM Morganti, A Chen, IL Weissman, LT Ang, ...
Scientific data 3 (1), 1-15, 2016
|Distributionally Robust Neural Networks|
S Sagawa, PW Koh, TB Hashimoto, P Liang
International Conference on Learning Representations, 2019
|On the accuracy of influence functions for measuring group effects|
PW Koh, KS Ang, H Teo, PS Liang
Advances in Neural Information Processing Systems, 5254-5264, 2019
|Toward trustworthy AI development: mechanisms for supporting verifiable claims|
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
|Localized hepatic lobular regeneration by central-vein–associated lineage-restricted progenitors|
JM Tsai, PW Koh, A Stefanska, L Xing, GG Walmsley, N Poux, ...
Proceedings of the National Academy of Sciences 114 (14), 3654-3659, 2017
|Inferring multidimensional rates of aging from cross-sectional data|
E Pierson, PW Koh, T Hashimoto, D Koller, J Leskovec, N Eriksson, ...
Proceedings of machine learning research 89, 97, 2019
|An Investigation of Why Overparameterization Exacerbates Spurious Correlations|
S Sagawa, A Raghunathan, PW Koh, P Liang
arXiv preprint arXiv:2005.04345, 2020
|ExpBERT: Representation Engineering with Natural Language Explanations|
S Murty, PW Koh, P Liang
arXiv preprint arXiv:2005.01932, 2020
|Mobility network modeling explains higher SARS-CoV-2 infection rates among disadvantaged groups and informs reopening strategies|
SY Chang, E Pierson, PW Koh, J Gerardin, B Redbird, D Grusky, ...