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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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Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving


Jan 26, 2021
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, 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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Self-Supervised Representation Learning from Flow Equivariance


Jan 16, 2021
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun

* tech report 

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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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SceneGen: Learning to Generate Realistic Traffic Scenes


Jan 16, 2021
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun


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Flexible Few-Shot Learning with Contextual Similarity


Dec 10, 2020
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel

* Technical report, 29 pages 

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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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Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving


Nov 02, 2020
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun


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Theoretical bounds on estimation error for meta-learning


Oct 14, 2020
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard Zemel

* 12 pages in main paper,22 pages in appendix,4 figures total 

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SketchEmbedNet: Learning Novel Concepts by Imitating Drawings


Aug 27, 2020
Alexander Wang, Mengye Ren, Richard Zemel


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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations


Aug 13, 2020
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

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End-to-end Contextual Perception and Prediction with Interaction Transformer


Aug 13, 2020
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun

* IROS 2020 

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LoCo: Local Contrastive Representation Learning


Aug 04, 2020
Yuwen Xiong, Mengye Ren, Raquel Urtasun

* tech report 

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Multi-Agent Routing Value Iteration Network


Jul 09, 2020
Quinlan Sykora, Mengye Ren, Raquel Urtasun

* Published at ICML 2020 

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Wandering Within a World: Online Contextualized Few-Shot Learning


Jul 09, 2020
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel


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Physically Realizable Adversarial Examples for LiDAR Object Detection


Apr 02, 2020
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun

* Accepted to CVPR 2020 

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Identifying Unknown Instances for Autonomous Driving


Oct 24, 2019
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

* 3rd Conference on Robot Learning (CoRL 2019) 

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Learning to Remember from a Multi-Task Teacher


Oct 10, 2019
Yuwen Xiong, Mengye Ren, Raquel Urtasun


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Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles


Oct 10, 2019
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun

* IROS 2019 

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Deformable Filter Convolution for Point Cloud Reasoning


Jul 30, 2019
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun


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Incremental Few-Shot Learning with Attention Attractor Networks


Oct 16, 2018
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel


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Graph HyperNetworks for Neural Architecture Search


Oct 12, 2018
Chris Zhang, Mengye Ren, Raquel Urtasun


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Learning to Reweight Examples for Robust Deep Learning


Jun 08, 2018
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun

* 13 pages, ICML 2018 

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SBNet: Sparse Blocks Network for Fast Inference


Jun 07, 2018
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun

* 10 pages, CVPR 2018 

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Understanding Short-Horizon Bias in Stochastic Meta-Optimization


Mar 06, 2018
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse

* 17 pages, 8 figures; To appear in ICLR2018 

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Meta-Learning for Semi-Supervised Few-Shot Classification


Mar 02, 2018
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel

* Published as a conference paper at ICLR 2018. 15 pages 

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The Reversible Residual Network: Backpropagation Without Storing Activations


Jul 14, 2017
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse


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