Mengye Ren

104 papers A* 23A 2B 2Misc 4Journal 62Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents.
CoRR
Kangsan Kim, Yanlai Yang, Suji Kim, Woongyeong Yeo, Youngwan Lee, Mengye Ren, Sung Ju Hwang
2026 J jnl
Temporal Straightening for Latent Planning.
CoRR
Ying Wang, Oumayma Bounou, Gaoyue Zhou, Randall Balestriero, Tim G. J. Rudner, Yann LeCun, Mengye Ren
2025 A* conf
A General Framework for Inference-time Scaling and Steering of Diffusion Models.
ICML
Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen McKeown, Rajesh Ranganath
2025 J jnl
A General Framework for Inference-time Scaling and Steering of Diffusion Models.
CoRR
Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen McKeown, Rajesh Ranganath
2025 A* conf
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle.
ICML
Hui Dai, Ryan Teehan, Mengye Ren
2025 J jnl
Context Tuning for In-Context Optimization.
CoRR
Jack Lu, Ryan Teehan, Zhenbang Yang, Mengye Ren
2025 J jnl
Discrete JEPA: Learning Discrete Token Representations without Reconstruction.
CoRR
Junyeob Baek, Hosung Lee, Christopher Hoang, Mengye Ren, Sungjin Ahn
2025 J jnl
In-Context Clustering with Large Language Models.
CoRR
Ying Wang, Mengye Ren, Andrew Gordon Wilson
2025 J jnl
Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions.
CoRR
Frank Wu, Mengye Ren
2025 J jnl
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos.
CoRR
Yanlai Yang, Mengye Ren
2025 J jnl
Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics.
CoRR
Christopher Hoang, Mengye Ren
2025 J jnl
Opinion: Learning Intuitive Physics May Require More than Visual Data.
CoRR
Ellen Su, Solim LeGris, Todd M. Gureckis, Mengye Ren
2025 A* conf
PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos.
ICLR
Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren
2025 J jnl
Replay Can Provably Increase Forgetting.
CoRR
Yasaman Mahdaviyeh, James Lucas, Mengye Ren, Andreas S. Tolias, Richard S. Zemel, Toniann Pitassi
2025 J jnl
SkillFactory: Self-Distillation For Learning Cognitive Behaviors.
CoRR
Zayne Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, Greg Durrett
2025 J jnl
StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding.
CoRR
Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, Mengye Ren
2025 J jnl
When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers.
CoRR
Jack Lu, Ryan Teehan, Jinran Jin, Mengye Ren
2024 J jnl
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle.
CoRR
Hui Dai, Ryan Teehan, Mengye Ren
2024 J jnl
CoLLEGe: Concept Embedding Generation for Large Language Models.
CoRR
Ryan Teehan, Brenden M. Lake, Mengye Ren
2024 — conf
Integrating Present and Past in Unsupervised Continual Learning.
CoLLAs
Yipeng Zhang, Laurent Charlin, Richard S. Zemel, Mengye Ren
2024 J jnl
Integrating Present and Past in Unsupervised Continual Learning.
CoRR
Yipeng Zhang, Laurent Charlin, Richard S. Zemel, Mengye Ren
2024 A* conf
Learning and Forgetting Unsafe Examples in Large Language Models.
ICML
Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren
2024 J jnl
PooDLe: Pooled and dense self-supervised learning from naturalistic videos.
CoRR
Alex N. Wang, Christopher Hoang, Yuwen Xiong, Yann LeCun, Mengye Ren
2024 — conf
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation.
ECCV (60)
Jack Lu, Ryan Teehan, Mengye Ren
2024 J jnl
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation.
CoRR
Jack Lu, Ryan Teehan, Mengye Ren
2024 A* conf
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
NeurIPS
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2024 J jnl
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
CoRR
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2024 B conf
Self-supervised learning of video representations from a child's perspective.
CogSci
A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
2024 J jnl
Self-supervised learning of video representations from a child's perspective.
CoRR
A. Emin Orhan, Wentao Wang, Alex N. Wang, Mengye Ren, Brenden M. Lake
2023 J jnl
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling.
CoRR
YiXuan Luo, Mengye Ren, Sai Qian Zhang
2023 J jnl
Learning and Forgetting Unsafe Examples in Large Language Models.
CoRR
Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren
2023 A* conf
Learning in temporally structured environments.
ICLR
Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer
2023 J jnl
LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos.
CoRR
Ying Wang, Yanlai Yang, Mengye Ren
2023 B conf
Multitask Learning Via Interleaving: A Neural Network Investigation.
CogSci
David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
2023 J jnl
Rethinking Closed-loop Training for Autonomous Driving.
CoRR
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
2023 A* conf
Scaling Forward Gradient With Local Losses.
ICLR
Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2023 J jnl
Towards Unsupervised Object Detection From LiDAR Point Clouds.
CoRR
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2023 A* conf
Towards Unsupervised Object Detection from LiDAR Point Clouds.
CVPR
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
2022 J jnl
Gaussian-Bernoulli RBMs Without Tears.
CoRR
Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
2022 J jnl
Learning to Reason With Relational Abstractions.
CoRR
Andrew Joohun Nam, Mengye Ren, Chelsea Finn, James L. McClelland
2022 — —
Open-world Machine Learning with Limited Labeled Data
Mengye Ren
2022 — conf
Rethinking Closed-Loop Training for Autonomous Driving.
ECCV (39)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
2022 J jnl
Scaling Forward Gradient With Local Losses.
CoRR
Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2021 A* conf
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
CVPR
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021 J jnl
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
CoRR
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021 A* conf
Adversarial Attacks On Multi-Agent Communication.
ICCV
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 J jnl
Adversarial Attacks On Multi-Agent Communication.
CoRR
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 J jnl
Cost-Efficient Online Hyperparameter Optimization.
CoRR
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
2021 J jnl
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving.
CoRR
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021 Misc conf
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.
CoRL
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021 Misc conf
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
CoRL
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021 J jnl
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
2021 J jnl
Online Unsupervised Learning of Visual Representations and Categories.
CoRR
Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
2021 A* conf
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
ICRA
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2021 A* conf
SceneGen: Learning To Generate Realistic Traffic Scenes.
CVPR
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 J jnl
SceneGen: Learning to Generate Realistic Traffic Scenes.
CoRR
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 A* conf
Self-Supervised Representation Learning from Flow Equivariance.
ICCV
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi
2021 J jnl
Self-Supervised Representation Learning from Flow Equivariance.
CoRR
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
2021 A* conf
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings.
ICML
Alexander Wang, Mengye Ren, Richard S. Zemel
2021 A* conf
Theoretical bounds on estimation error for meta-learning.
ICLR
James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel
2021 A* conf
Wandering within a world: Online contextualized few-shot learning.
ICLR
Mengye Ren, Michael Louis Iuzzolino, Michael Curtis Mozer, Richard S. Zemel
2020 A conf
End-to-end Contextual Perception and Prediction with Interaction Transformer.
IROS
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020 J jnl
End-to-end Contextual Perception and Prediction with Interaction Transformer.
CoRR
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun
2020 J jnl
Flexible Few-Shot Learning with Contextual Similarity.
CoRR
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
2020 Misc conf
Learning to Communicate and Correct Pose Errors.
CoRL
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020 J jnl
Learning to Communicate and Correct Pose Errors.
CoRR
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020 A* conf
LoCo: Local Contrastive Representation Learning.
NeurIPS
Yuwen Xiong, Mengye Ren, Raquel Urtasun
2020 J jnl
LoCo: Local Contrastive Representation Learning.
CoRR
Yuwen Xiong, Mengye Ren, Raquel Urtasun
2020 A* conf
Multi-Agent Routing Value Iteration Network.
ICML
Quinlan Sykora, Mengye Ren, Raquel Urtasun
2020 J jnl
Multi-Agent Routing Value Iteration Network.
CoRR
Quinlan Sykora, Mengye Ren, Raquel Urtasun
2020 J jnl
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
CoRR
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
2020 — conf
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.
ECCV (23)
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
2020 J jnl
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.
CoRR
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
2020 A* conf
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CVPR
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 J jnl
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 J jnl
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings.
CoRR
Alexander Wang, Mengye Ren, Richard S. Zemel
2020 J jnl
Theoretical bounds on estimation error for meta-learning.
CoRR
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard S. Zemel
2020 J jnl
Wandering Within a World: Online Contextualized Few-Shot Learning.
CoRR
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
2019 J jnl
Deformable Filter Convolution for Point Cloud Reasoning.
CoRR
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
2019 — conf
Graph HyperNetworks for Neural Architecture Search.
ICLR (Poster)
Chris Zhang, Mengye Ren, Raquel Urtasun
2019 Misc conf
Identifying Unknown Instances for Autonomous Driving.
CoRL
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019 J jnl
Identifying Unknown Instances for Autonomous Driving.
CoRR
Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun
2019 A* conf
Incremental Few-Shot Learning with Attention Attractor Networks.
NeurIPS
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
2019 A conf
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles.
IROS
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
2019 J jnl
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles.
CoRR
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
2019 J jnl
Learning to Remember from a Multi-Task Teacher.
CoRR
Yuwen Xiong, Mengye Ren, Raquel Urtasun
2018 J jnl
Graph HyperNetworks for Neural Architecture Search.
CoRR
Chris Zhang, Mengye Ren, Raquel Urtasun
2018 J jnl
Incremental Few-Shot Learning with Attention Attractor Networks.
CoRR
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel
2018 A* conf
Learning to Reweight Examples for Robust Deep Learning.
ICML
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
2018 J jnl
Learning to Reweight Examples for Robust Deep Learning.
CoRR
Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun
2018 — conf
Meta-Learning for Semi-Supervised Few-Shot Classification.
ICLR (Poster)
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
2018 J jnl
Meta-Learning for Semi-Supervised Few-Shot Classification.
CoRR
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
2018 A* conf
SBNet: Sparse Blocks Network for Fast Inference.
CVPR
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
2018 J jnl
SBNet: Sparse Blocks Network for Fast Inference.
CoRR
Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun
2018 — conf
Understanding Short-Horizon Bias in Stochastic Meta-Optimization.
ICLR (Poster)
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger B. Grosse
2018 J jnl
Understanding Short-Horizon Bias in Stochastic Meta-Optimization.
CoRR
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger B. Grosse
2017 A* conf
End-to-End Instance Segmentation with Recurrent Attention.
CVPR
Mengye Ren, Richard S. Zemel
2017 — conf
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
ICLR (Poster)
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2017 — conf
The Reversible Residual Network: Backpropagation Without Storing Activations.
NIPS
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
2017 J jnl
The Reversible Residual Network: Backpropagation Without Storing Activations.
CoRR
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse
2016 J jnl
End-to-End Instance Segmentation and Counting with Recurrent Attention.
CoRR
Mengye Ren, Richard S. Zemel
2016 J jnl
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
CoRR
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel
2015 — conf
Exploring Models and Data for Image Question Answering.
NIPS
Mengye Ren, Ryan Kiros, Richard S. Zemel
2015 J jnl
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.
CoRR
Mengye Ren, Ryan Kiros, Richard S. Zemel