Suivre
Zico Kolter
Titre
Citée par
Citée par
Année
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
55252018
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
international conference on machine learning, 1310-1320, 2019
19782019
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
18052011
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
17002011
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International conference on machine learning, 5286-5295, 2018
16312018
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
13382007
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
12282019
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
12072020
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International Conference on Machine Learning, 136-145, 2017
9662017
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
8972006
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
8422012
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International conference on machine learning, 8093-8104, 2020
8292020
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
7222004
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in neural information processing systems 32, 2019
6362019
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
6092019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International Conference on Machine Learning, 146-155, 2017
6062017
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 2010
4922010
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems 31, 2018
4622018
Universal and transferable adversarial attacks on aligned language models
A Zou, Z Wang, JZ Kolter, M Fredrikson
arXiv preprint arXiv:2307.15043, 2023
4422023
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv 2018
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271 2 (1803), 8, 1803
4291803
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20