Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Sparse Filtering.

J. Ngiam, P. Koh, Z. Chen, S. Bhaskar, and A. Ng. NIPS, page 1125-1133. (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Ngiam, Jiquan

add a person with the name Ngiam, Jiquan

Other publications of authors with the same name

Learning Deep Energy Models.J. Ngiam, Z. Chen, P. Koh, and A. Ng. ICML, page 1105-1112. Omnipress, (2011)A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.J. Nam, J. Ngiam, H. Lee, and M. Slaney. ISMIR, page 175-180. University of Miami, (2011)Soft Conditional Computation.B. Yang, G. Bender, Q. Le, and J. Ngiam. CoRR, (2019)GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.Y. Huang, Y. Cheng, D. Chen, H. Lee, J. Ngiam, Q. Le, and Z. Chen. CoRR, (2018)Domain Adaptive Transfer Learning with Specialist Models.J. Ngiam, D. Peng, V. Vasudevan, S. Kornblith, Q. Le, and R. Pang. CoRR, (2018)Real-time programming exercise feedback in MOOCs.Z. Chen, A. Nguyen, A. Schlender, and J. Ngiam. EDM, International Educational Data Mining Society (IEDMS), (2017)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, C. Qi, Y. Zhou and 8 other author(s). ICCV, page 9690-9699. IEEE, (2021)Streaming Object Detection for 3-D Point Clouds.W. Han, Z. Zhang, B. Caine, B. Yang, C. Sprunk, O. Alsharif, J. Ngiam, V. Vasudevan, J. Shlens, and Z. Chen. ECCV (18), volume 12363 of Lecture Notes in Computer Science, page 423-441. Springer, (2020)CondConv: Conditionally Parameterized Convolutions for Efficient Inference.B. Yang, G. Bender, Q. Le, and J. Ngiam. NeurIPS, page 1305-1316. (2019)GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.Y. Huang, Y. Cheng, A. Bapna, O. Firat, D. Chen, M. Chen, H. Lee, J. Ngiam, Q. Le, Y. Wu and 1 other author(s). NeurIPS, page 103-112. (2019)

BibSonomy

Disambiguation of "Ngiam, Jiquan"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Sparse Filtering.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ngiam, Jiquan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse Filtering.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Sparse Filtering.