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Zico Kolter
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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
33692018
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
15992011
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
14532011
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International conference on machine learning, 5286-5295, 2018
13052018
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
international conference on machine learning, 1310-1320, 2019
12802019
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
12432007
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
8322006
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
7862020
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
7672012
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
6812004
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International Conference on Machine Learning, 136-145, 2017
6562017
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
5822019
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International Conference on Machine Learning, 8093-8104, 2020
4942020
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 2010
4632010
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in Neural Information Processing Systems 32, 2019
4132019
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems 31, 2018
4002018
Input convex neural networks
B Amos, L Xu, JZ Kolter
International Conference on Machine Learning, 146-155, 2017
3722017
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
3622019
Using additive expert ensembles to cope with concept drift
JZ Kolter, MA Maloof
Proceedings of the 22nd international conference on Machine learning, 449-456, 2005
3332005
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems 30, 2017
3322017
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Articles 1–20