Pang Wei Koh
Pang Wei Koh
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Understanding black-box predictions via influence functions
PW Koh, P Liang
International Conference on Machine Learning, 1885-1894, 2017
10672017
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
4682015
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
4232011
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
3592010
Certified defenses for data poisoning attacks
J Steinhardt*, PW Koh*, PS Liang
Advances in neural information processing systems, 3517-3529, 2017
2842017
Sparse filtering
J Ngiam, PW Koh, Z Chen, SA Bhaskar, AY Ng
Advances in Neural Information Processing Systems, 1125-1133, 2011
2532011
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
2292016
Mobility network models of COVID-19 explain inequities and inform reopening
S Chang*, E Pierson*, PW Koh*, J Gerardin, B Redbird, D Grusky, ...
Nature, 1-6, 2020
2082020
Learning deep energy models
J Ngiam, Z Chen, PW Koh, AY Ng
ICML, 2011
1492011
Stronger data poisoning attacks break data sanitization defenses
PW Koh*, J Steinhardt*, P Liang
arXiv preprint arXiv:1811.00741, 2018
642018
Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization
S Sagawa*, PW Koh*, TB Hashimoto, P Liang
International Conference on Learning Representations, 2019
622019
Denoising genome-wide histone ChIP-seq with convolutional neural networks
PW Koh*, E Pierson*, A Kundaje
Bioinformatics 33 (14), i225-i233, 2017
422017
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
412020
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
362019
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, ...
Scientific data 3 (1), 1-15, 2016
322016
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
302015
Concept Bottleneck Models
PW Koh*, T Nguyen*, YS Tang*, S Mussmann, E Pierson, B Kim, P Liang
International Conference on Machine Learning, 5338-5348, 2020
162020
An investigation of why overparameterization exacerbates spurious correlations
S Sagawa*, A Raghunathan*, PW Koh*, P Liang
International Conference on Machine Learning, 8346-8356, 2020
132020
Expbert: Representation engineering with natural language explanations
S Murty, PW Koh, P Liang
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
112020
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
112017
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Articles 1–20