Follow
Jiquan Ngiam
Jiquan Ngiam
Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
33962011
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
11892020
On optimization methods for deep learning
QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng
Proceedings of the 28th International Conference on International Conference …, 2011
11862011
Gpipe: Efficient training of giant neural networks using pipeline parallelism
Y Huang, Y Cheng, A Bapna, O Firat, D Chen, M Chen, HJ Lee, J Ngiam, ...
Advances in neural information processing systems 32, 2019
9462019
Tiled convolutional neural networks
J Ngiam, Z Chen, D Chia, P Koh, Q Le, A Ng
Advances in neural information processing systems 23, 2010
4082010
ICA with reconstruction cost for efficient overcomplete feature learning
Q Le, A Karpenko, J Ngiam, A Ng
Advances in neural information processing systems 24, 2011
3962011
Sparse filtering
J Ngiam, Z Chen, S Bhaskar, P Koh, A Ng
Advances in neural information processing systems 24, 2011
3182011
Condconv: Conditionally parameterized convolutions for efficient inference
B Yang, G Bender, QV Le, J Ngiam
Advances in Neural Information Processing Systems 32, 2019
3072019
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ...
Conference on Robot Learning, 923-932, 2020
2302020
Learning deep energy models
J Ngiam, Z Chen, PW Koh, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
1872011
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1252021
UFLDL tutorial
A Ng, J Ngiam, CY Foo, Y Mai, C Suen
Chapters available at http://deeplearningstanford. edu/wiki/index. php …, 2012
1062012
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.
J Nam, J Ngiam, H Lee, M Slaney
Ismir, 175-180, 2011
1062011
Domain adaptive transfer learning with specialist models
J Ngiam, D Peng, V Vasudevan, S Kornblith, QV Le, R Pang
arXiv preprint arXiv:1811.07056, 2018
1032018
Starnet: Targeted computation for object detection in point clouds
J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ...
arXiv preprint arXiv:1908.11069, 2019
802019
Experience is a double-edged sword: A computational model of the encoding/retrieval trade-off with familiarity
LM Reder, C Paynter, RA Diana, J Ngiam, D Dickison
Psychology of learning and motivation 48, 271-312, 2007
652007
Improving 3d object detection through progressive population based augmentation
S Cheng, Z Leng, ED Cubuk, B Zoph, C Bai, J Ngiam, Y Song, B Caine, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
632020
Just pick a sign: Optimizing deep multitask models with gradient sign dropout
Z Chen, J Ngiam, Y Huang, T Luong, H Kretzschmar, Y Chai, D Anguelov
Advances in Neural Information Processing Systems 33, 2039-2050, 2020
542020
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
512022
Deep learning
A Ng, J Ngiam, CY Foo, Y Mai
CS229 Lecture Notes, 1-30, 2014
402014
The system can't perform the operation now. Try again later.
Articles 1–20