Mengye Ren
Mengye Ren
University of Toronto, Uber Advanced Technologies Group
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in neural information processing systems, 2953-2961, 2015
Learning to reweight examples for robust deep learning
M Ren, W Zeng, B Yang, R Urtasun
arXiv preprint arXiv:1803.09050, 2018
Meta-learning for semi-supervised few-shot classification
M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ...
arXiv preprint arXiv:1803.00676, 2018
End-to-end instance segmentation with recurrent attention
M Ren, RS Zemel
Proceedings of the IEEE conference on computer vision and pattern …, 2017
The reversible residual network: Backpropagation without storing activations
AN Gomez, M Ren, R Urtasun, RB Grosse
Advances in neural information processing systems, 2214-2224, 2017
Graph hypernetworks for neural architecture search
C Zhang, M Ren, R Urtasun
arXiv preprint arXiv:1810.05749, 2018
Sbnet: Sparse blocks network for fast inference
M Ren, A Pokrovsky, B Yang, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Normalizing the normalizers: Comparing and extending network normalization schemes
M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel
arXiv preprint arXiv:1611.04520, 2016
Understanding short-horizon bias in stochastic meta-optimization
Y Wu, M Ren, R Liao, R Grosse
arXiv preprint arXiv:1803.02021, 2018
Incremental few-shot learning with attention attractor networks
M Ren, R Liao, E Fetaya, R Zemel
Advances in Neural Information Processing Systems, 5275-5285, 2019
Jointly learnable behavior and trajectory planning for self-driving vehicles
A Sadat, M Ren, A Pokrovsky, YC Lin, E Yumer, R Urtasun
arXiv preprint arXiv:1910.04586, 2019
Identifying unknown instances for autonomous driving
K Wong, S Wang, M Ren, M Liang, R Urtasun
Conference on Robot Learning, 384-393, 2020
Deformable filter convolution for point cloud reasoning
Y Xiong, M Ren, R Liao, K Wong, R Urtasun
arXiv preprint arXiv:1907.13079, 2019
End-to-end contextual perception and prediction with interaction transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
arXiv preprint arXiv:2008.05927, 2020
Physically realizable adversarial examples for LiDAR object detection
J Tu, M Ren, S Manivasagam, M Liang, B Yang, R Du, F Cheng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
A Sadat, S Casas, M Ren, X Wu, P Dhawan, R Urtasun
Proceedings of the European Conference on Computer Vision (ECCV), 2020
LoCo: Local contrastive representation learning
Y Xiong, M Ren, R Urtasun
arXiv preprint arXiv:2008.01342, 2020
Learning to remember from a multi-task teacher
Y Xiong, M Ren, R Urtasun
arXiv preprint arXiv:1910.04650, 2019
Multi-agent routing value iteration network
Q Sykora, M Ren, R Urtasun
arXiv preprint arXiv:2007.05096, 2020
Wandering within a world: Online contextualized few-shot learning
M Ren, ML Iuzzolino, MC Mozer, RS Zemel
arXiv preprint arXiv:2007.04546, 2020
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