Search Results for author: Wei Chai

Found 3 papers, 1 papers with code

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships

no code implementations7 Jul 2022 Rebecca Roelofs, Liting Sun, Ben Caine, Khaled S. Refaat, Ben Sapp, Scott Ettinger, Wei Chai

We plan to provide the causal agent labels as an additional attribute to WOMD and release the robustness benchmarks to aid the community in building more reliable and safe deep-learning models for motion forecasting.

Autonomous Vehicles Motion Forecasting

Collaborative Learning for Deep Neural Networks

no code implementations NeurIPS 2018 Guocong Song, Wei Chai

We introduce collaborative learning in which multiple classifier heads of the same network are simultaneously trained on the same training data to improve generalization and robustness to label noise with no extra inference cost.

Knowledge Distillation Multi-Task Learning

Wide & Deep Learning for Recommender Systems

31 code implementations24 Jun 2016 Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah

Memorization of feature interactions through a wide set of cross-product feature transformations are effective and interpretable, while generalization requires more feature engineering effort.

Click-Through Rate Prediction Feature Engineering +2

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