Mengye Ren
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
9
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos. | Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren |
| 2025 | ICML | Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle. | Hui Dai, Ryan Teehan, Mengye Ren |
| 2025 | ICML | A General Framework for Inference-time Scaling and Steering of Diffusion Models. | Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen McKeown, Rajesh Ranganath |
| 2024 | CogSci | Self-supervised learning of video representations from a child's perspective. | A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake |
| 2024 | ECCV | ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation. | Jack Lu, Ryan Teehan, Mengye Ren |
| 2024 | ICML | Learning and Forgetting Unsafe Examples in Large Language Models. | Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren |
| 2023 | CogSci | Multitask Learning Via Interleaving: A Neural Network Investigation. | David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer |
| 2023 | CVPR | Towards Unsupervised Object Detection from LiDAR Point Clouds. | Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun |
| 2023 | ICLR | Learning in temporally structured environments. | Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer |
| 2023 | ICLR | Scaling Forward Gradient With Local Losses. | Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton |
| 2022 | ECCV | Rethinking Closed-Loop Training for Autonomous Driving. | Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun |
| 2021 | CoRL | Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. | Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun |
| 2021 | CoRL | Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. | James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun |
| 2021 | CVPR | SceneGen: Learning To Generate Realistic Traffic Scenes. | Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | CVPR | AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. | Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun |
| 2021 | ICCV | Adversarial Attacks On Multi-Agent Communication. | James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | ICCV | Self-Supervised Representation Learning from Flow Equivariance. | Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi |
| 2021 | ICLR | Theoretical bounds on estimation error for meta-learning. | James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel |
| 2021 | ICLR | Wandering within a world: Online contextualized few-shot learning. | Mengye Ren, Michael Louis Iuzzolino, Michael Curtis Mozer, Richard S. Zemel |
| 2021 | ICML | SketchEmbedNet: Learning Novel Concepts by Imitating Drawings. | Alexander Wang, Mengye Ren, Richard S. Zemel |
| 2021 | ICRA | Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. | Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun |
| 2020 | CoRL | Learning to Communicate and Correct Pose Errors. | Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun |
| 2020 | CVPR | Physically Realizable Adversarial Examples for LiDAR Object Detection. | James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun |
| 2020 | ECCV | Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. | Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun |
| 2020 | ICML | Multi-Agent Routing Value Iteration Network. | Quinlan Sykora, Mengye Ren, Raquel Urtasun |
| 2020 | IROS | End-to-end Contextual Perception and Prediction with Interaction Transformer. | Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun |
| 2019 | CoRL | Identifying Unknown Instances for Autonomous Driving. | Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun |
| 2019 | ICLR | Graph HyperNetworks for Neural Architecture Search. | Chris Zhang, Mengye Ren, Raquel Urtasun |
| 2019 | IROS | Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. | Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun |
| 2018 | CVPR | SBNet: Sparse Blocks Network for Fast Inference. | Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun |
| 2018 | ICLR | Meta-Learning for Semi-Supervised Few-Shot Classification. | Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel |
| 2018 | ICLR | Understanding Short-Horizon Bias in Stochastic Meta-Optimization. | Yuhuai Wu, Mengye Ren, Renjie Liao, Roger B. Grosse |
| 2018 | ICML | Learning to Reweight Examples for Robust Deep Learning. | Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun |
| 2017 | CVPR | End-to-End Instance Segmentation with Recurrent Attention. | Mengye Ren, Richard S. Zemel |
| 2017 | ICLR | Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. | Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel |