Follow
David Lopez-Paz
David Lopez-Paz
AI at Meta
Verified email at fb.com
Title
Cited by
Cited by
Year
mixup: Beyond empirical risk minimization
H Zhang, M Cisse, YN Dauphin, D Lopez-Paz
ICLR, 2018
96432018
Gradient Episodic Memory for Continual Learning
D Lopez-Paz, MA Ranzato
NeurIPS, 2017
24512017
Invariant risk minimization
M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz
arXiv, 2019
19182019
Manifold mixup: learning better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, A Courville, I Mitliagkas, ...
ICML, 2019
1229*2019
In Search of Lost Domain Generalization
I Gulrajani, D Lopez-Paz
ICLR, 2021
9862021
Interpolation consistency training for semi-supervised learning
V Verma, A Lamb, J Kannala, Y Bengio, D Lopez-Paz
IJCAI, 2019
7362019
Unifying distillation and privileged information
D Lopez-Paz, L Bottou, B Schölkopf, V Vapnik
ICLR, 2016
5042016
Optimizing the latent space of generative networks
P Bojanowski, A Joulin, D Lopez-Paz, A Szlam
ICML, 2018
4612018
Revisiting classifier two-sample tests
D Lopez-Paz, M Oquab
ICLR, 2017
4022017
Single-Model Uncertainties for Deep Learning
N Tagasovska, D Lopez-Paz
NeurIPS, 2019
2732019
Discovering causal signals in images
D Lopez-Paz, R Nishihara, S Chintala, B Scholkopf, L Bottou
CVPR, 2017
2462017
The Randomized Dependence Coefficient
D Lopez-Paz, P Hennig, B Schölkopf
NeurIPS, 2013
2432013
Randomized Nonlinear Component Analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
ICML, 2014
2242014
Towards a Learning Theory of Cause-Effect Inference
D Lopez-Paz, K Muandet, B Schölkopf, I Tolstikhin
ICML, 2015
2012015
Using hindsight to anchor past knowledge in continual learning
A Chaudhry, A Gordo, PK Dokania, P Torr, D Lopez-Paz
AAAI, 2021
1972021
Learning functional causal models with generative neural networks
O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag
Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018
1632018
Simple data balancing achieves competitive worst-group-accuracy
BY Idrissi, M Arjovsky, M Pezeshki, D Lopez-Paz
Conference on Causal Learning and Reasoning, 336-351, 2022
1192022
SAM: Structural Agnostic Model, causal discovery and penalized adversarial learning
D Kalainathan, O Goudet, I Guyon, D Lopez-Paz, M Sebag
arXiv, 2018
117*2018
First-order adversarial vulnerability of neural networks and input dimension
CJ Simon-Gabriel, Y Ollivier, L Bottou, B Schölkopf, D Lopez-Paz
ICML, 2019
1092019
Permutation equivariant models for compositional generalization in language
J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt
ICLR, 2020
1032020
The system can't perform the operation now. Try again later.
Articles 1–20