Mengye Ren

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Visual Representations

Semantic Representations

Answering Queries

Partially Labeled

Top Venues

Publications

Ryan Teehan, Brenden M. Lake, Mengye Ren
CoLLEGe: Concept Embedding Generation for Large Language Models. CoRR (2024)
Yipeng Zhang, Laurent Charlin, Richard S. Zemel, Mengye Ren
Integrating Present and Past in Unsupervised Continual Learning. CoRR (2024)
A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
Self-supervised learning of video representations from a child's perspective. CoRR (2024)
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training. CoRR (2024)
Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
Scaling Forward Gradient With Local Losses. ICLR (2023)
Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren
Learning and Forgetting Unsafe Examples in Large Language Models. CoRR (2023)
David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
Multitask Learning Via Interleaving: A Neural Network Investigation. CogSci (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR (2023)
Yixuan Luo, Mengye Ren, Sai Qian Zhang
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling. CoRR (2023)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-loop Training for Autonomous Driving. CoRR (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR (2023)
Ying Wang, Yanlai Yang, Mengye Ren
LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos. CoRR (2023)
Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine Hermann, David Mayo, Michael Curtis Mozer
Learning in temporally structured environments. ICLR (2023)
Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
Gaussian-Bernoulli RBMs Without Tears. CoRR (2022)
Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
Scaling Forward Gradient With Local Losses. CoRR (2022)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) (2022)
Andrew Joohun Nam, Mengye Ren, Chelsea Finn, James L. McClelland
Learning to Reason With Relational Abstractions. CoRR (2022)
Mengye Ren, Michael Louis Iuzzolino, Michael Curtis Mozer, Richard S. Zemel
Wandering within a world: Online contextualized few-shot learning. ICLR (2021)
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
Cost-Efficient Online Hyperparameter Optimization. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. ICCV (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR (2021)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi
Self-Supervised Representation Learning from Flow Equivariance. ICCV (2021)
Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
Online Unsupervised Learning of Visual Representations and Categories. CoRR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR (2021)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA (2021)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR (2021)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
Self-Supervised Representation Learning from Flow Equivariance. CoRR (2021)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR (2021)
James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel
Theoretical bounds on estimation error for meta-learning. ICLR (2021)
Alexander Wang, Mengye Ren, Richard S. Zemel
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings. ICML (2021)
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR (2020)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
LoCo: Local Contrastive Representation Learning. CoRR (2020)
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
Wandering Within a World: Online Contextualized Few-Shot Learning. CoRR (2020)
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CoRR (2020)
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
End-to-end Contextual Perception and Prediction with Interaction Transformer. CoRR (2020)
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard S. Zemel
Theoretical bounds on estimation error for meta-learning. CoRR (2020)
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
End-to-end Contextual Perception and Prediction with Interaction Transformer. IROS (2020)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. CoRR (2020)
Quinlan Sykora, Mengye Ren, Raquel Urtasun
Multi-Agent Routing Value Iteration Network. ICML (2020)
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
Flexible Few-Shot Learning with Contextual Similarity. CoRR (2020)
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Learning to Communicate and Correct Pose Errors. CoRL (2020)
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. CoRR (2020)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
LoCo: Local Contrastive Representation Learning. NeurIPS (2020)
Quinlan Sykora, Mengye Ren, Raquel Urtasun
Multi-Agent Routing Value Iteration Network. CoRR (2020)
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. ECCV (23) (2020)
Alexander Wang, Mengye Ren, Richard S. Zemel
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings. CoRR (2020)
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Learning to Communicate and Correct Pose Errors. CoRR (2020)
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. IROS (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRL (2019)
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. CoRR (2019)
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
Incremental Few-Shot Learning with Attention Attractor Networks. NeurIPS (2019)
Yuwen Xiong, Mengye Ren, Raquel Urtasun
Learning to Remember from a Multi-Task Teacher. CoRR (2019)
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
Deformable Filter Convolution for Point Cloud Reasoning. CoRR (2019)
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
Identifying Unknown Instances for Autonomous Driving. CoRR (2019)
Chris Zhang, Mengye Ren, Raquel Urtasun
Graph HyperNetworks for Neural Architecture Search. ICLR (Poster) (2019)
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
SBNet: Sparse Blocks Network for Fast Inference. CVPR (2018)
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger B. Grosse
Understanding Short-Horizon Bias in Stochastic Meta-Optimization. ICLR (Poster) (2018)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. ICML (2018)
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
Meta-Learning for Semi-Supervised Few-Shot Classification. CoRR (2018)
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR (Poster) (2018)
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
SBNet: Sparse Blocks Network for Fast Inference. CoRR (2018)
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger B. Grosse
Understanding Short-Horizon Bias in Stochastic Meta-Optimization. CoRR (2018)
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
Learning to Reweight Examples for Robust Deep Learning. CoRR (2018)
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
Incremental Few-Shot Learning with Attention Attractor Networks. CoRR (2018)
Chris Zhang, Mengye Ren, Raquel Urtasun
Graph HyperNetworks for Neural Architecture Search. CoRR (2018)
Mengye Ren, Richard S. Zemel
End-to-End Instance Segmentation with Recurrent Attention. CVPR (2017)
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. ICLR (Poster) (2017)
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
The Reversible Residual Network: Backpropagation Without Storing Activations. NIPS (2017)
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
The Reversible Residual Network: Backpropagation Without Storing Activations. CoRR (2017)
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. CoRR (2016)
Mengye Ren, Richard S. Zemel
End-to-End Instance Segmentation and Counting with Recurrent Attention. CoRR (2016)
Mengye Ren, Ryan Kiros, Richard S. Zemel
Exploring Models and Data for Image Question Answering. NIPS (2015)
Mengye Ren, Ryan Kiros, Richard S. Zemel
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset. CoRR (2015)