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Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes


Apr 08, 2021
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun


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Cost-Efficient Online Hyperparameter Optimization


Jan 17, 2021
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun


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Adversarial Attacks On Multi-Agent Communication


Jan 17, 2021
James Tu, Tsunhsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun


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AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles


Jan 16, 2021
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun


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Learning to Communicate and Correct Pose Errors


Nov 10, 2020
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun

* Conference on Robot Learning (CoRL) 2020. 16 pages, 7 figures 

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Policy Learning Using Weak Supervision


Oct 05, 2020
Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu


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BabyAI++: Towards Grounded-Language Learning beyond Memorization


Apr 15, 2020
Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam

* Accepted to the ICLR 2020 workshop: Beyond tabula rasa in RL (BeTR-RL) 

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Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense


Jun 09, 2019
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li


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One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy


Oct 23, 2018
Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos


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Reinforcement Learning with Perturbed Rewards


Oct 05, 2018
Jingkang Wang, Yang Liu, Bo Li


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Multiple Character Embeddings for Chinese Word Segmentation


Oct 02, 2018
Jingkang Wang, Jianing Zhou, Gongshen Liu


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The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity


Jul 10, 2018
Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li


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