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

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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)Learning Deep Energy Models.J. Ngiam, Z. Chen, P. Koh, and A. Ng. ICML, page 1105-1112. Omnipress, (2011)Real-time programming exercise feedback in MOOCs.Z. Chen, A. Nguyen, A. Schlender, and J. Ngiam. EDM, International Educational Data Mining Society (IEDMS), (2017)Domain Adaptive Transfer Learning with Specialist Models.J. Ngiam, D. Peng, V. Vasudevan, S. Kornblith, Q. Le, and R. Pang. CoRR, (2018)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)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)Soft Conditional Computation.B. Yang, G. Bender, Q. Le, and J. Ngiam. CoRR, (2019)Using Videos to Evaluate Image Model Robustness.K. Gu, B. Yang, J. Ngiam, Q. Le, and J. Shlens. CoRR, (2019)Scene Transformer: A unified multi-task model for behavior prediction and planning.J. Ngiam, B. Caine, V. Vasudevan, Z. Zhang, H. Chiang, J. Ling, R. Roelofs, A. Bewley, C. Liu, A. Venugopal and 4 other author(s). CoRR, (2021)

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