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Zico Kolter
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An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
31642018
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
15822011
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
14212011
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International conference on machine learning, 5286-5295, 2018
12532018
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
12252007
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
international conference on machine learning, 1310-1320, 2019
12002019
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
8172006
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
7552012
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
7282020
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
6742004
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International Conference on Machine Learning, 136-145, 2017
6232017
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
5412019
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 2010
4592010
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International Conference on Machine Learning, 8093-8104, 2020
4502020
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems 31, 2018
3842018
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in Neural Information Processing Systems 32, 2019
3772019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International Conference on Machine Learning, 146-155, 2017
3522017
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
3352019
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
3342005
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems 30, 2017
3192017
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Articles 1–20