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Zico Kolter
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Cited by
Year
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
64712018
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
international conference on machine learning, 1310-1320, 2019
22492019
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
18872011
Towards fully autonomous driving: Systems and algorithms
J Levinson, J Askeland, J Becker, J Dolson, D Held, S Kammel, JZ Kolter, ...
2011 IEEE intelligent vehicles symposium (IV), 163-168, 2011
18192011
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International conference on machine learning, 5286-5295, 2018
17412018
Multimodal transformer for unaligned multimodal language sequences
YHH Tsai, S Bai, PP Liang, JZ Kolter, LP Morency, R Salakhutdinov
Proceedings of the conference. Association for computational linguistics …, 2019
15132019
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
13692007
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
13662020
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International conference on machine learning, 136-145, 2017
11042017
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International conference on machine learning, 8093-8104, 2020
9632020
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
9252006
Universal and transferable adversarial attacks on aligned language models
A Zou, Z Wang, N Carlini, M Nasr, JZ Kolter, M Fredrikson
arXiv preprint arXiv:2307.15043, 2023
9062023
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
8672012
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in neural information processing systems 32, 2019
7532019
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
7422004
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
7202019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International conference on machine learning, 146-155, 2017
7192017
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 2010
5032010
Patches are all you need?
A Trockman, JZ Kolter
arXiv preprint arXiv:2201.09792, 2022
4862022
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems 31, 2018
4862018
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Articles 1–20