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Mengye Ren
Mengye Ren
University of Toronto
Geverifieerd e-mailadres voor cs.toronto.edu - Homepage
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Exploring models and data for image question answering
M Ren, R Kiros, R Zemel
Advances in Neural Information Processing Systems 28, 2953-2961, 2015
800*2015
Meta-learning for semi-supervised few-shot classification
M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ...
International Conference on Learning Representations, 2018
7952018
Learning to reweight examples for robust deep learning
M Ren, W Zeng, B Yang, R Urtasun
International Conference on Machine Learning, 4331-4340, 2018
7892018
The reversible residual network: Backpropagation without storing activations
AN Gomez, M Ren, R Urtasun, RB Grosse
Advances in Neural Information Processing Systems 30, 2211-2221, 2017
3342017
End-to-end instance segmentation with recurrent attention
M Ren, RS Zemel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3192017
Graph hypernetworks for neural architecture search
C Zhang, M Ren, R Urtasun
International Conference on Learning Representations, 2019
1572019
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
1372018
Incremental few-shot learning with attention attractor networks
M Ren, R Liao, E Fetaya, RS Zemel
Advances in Neural Information Processing Systems 32, 5275-5285, 2019
1182019
Normalizing the normalizers: Comparing and extending network normalization schemes
M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel
International Conference on Learning Representations, 2017
852017
Understanding short-horizon bias in stochastic meta-optimization
Y Wu, M Ren, R Liao, R Grosse
International Conference on Learning Representations, 2018
792018
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
662020
Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
A Sadat, S Casas, M Ren, X Wu, P Dhawan, R Urtasun
European Conference on Computer Vision, 414-430, 2020
432020
Jointly learnable behavior and trajectory planning for self-driving vehicles
A Sadat, M Ren, A Pokrovsky, YC Lin, E Yumer, R Urtasun
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
432019
End-to-end contextual perception and prediction with interaction transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
352020
Identifying unknown instances for autonomous driving
K Wong, S Wang, M Ren, M Liang, R Urtasun
Conference on Robot Learning, 384-393, 2020
342020
Multi-agent routing value iteration network
Q Sykora, M Ren, R Urtasun
International Conference on Machine Learning, 9300-9310, 2020
172020
AdvSim: Generating safety-critical scenarios for self-driving vehicles
J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ...
arXiv preprint arXiv:2101.06549, 2021
162021
LoCo: Local contrastive representation learning
Y Xiong, M Ren, R Urtasun
Advances in Neural Information Processing Systems 33, 2020
152020
Deformable filter convolution for point cloud reasoning
Y Xiong, M Ren, R Liao, K Wong, R Urtasun
arXiv preprint arXiv:1907.13079, 2019
152019
Wandering within a world: Online contextualized few-shot learning
M Ren, ML Iuzzolino, MC Mozer, RS Zemel
International Conference on Learning Representations, 2021
142021
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Artikelen 1–20