Mengye Ren

According to our database1, Mengye Ren authored at least 47 papers between 2015 and 2024.

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Bibliography

2024
Self-supervised learning of video representations from a child's perspective.
CoRR, 2024

2023
Learning and Forgetting Unsafe Examples in Large Language Models.
CoRR, 2023

LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos.
CoRR, 2023

BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling.
CoRR, 2023

Scaling Forward Gradient With Local Losses.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning in temporally structured environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Gaussian-Bernoulli RBMs Without Tears.
CoRR, 2022

Learning to Reason With Relational Abstractions.
CoRR, 2022

Rethinking Closed-Loop Training for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Online Unsupervised Learning of Visual Representations and Categories.
CoRR, 2021

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR, 2021

Cost-Efficient Online Hyperparameter Optimization.
CoRR, 2021

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SketchEmbedNet: Learning Novel Concepts by Imitating Drawings.
Proceedings of the 38th International Conference on Machine Learning, 2021

Wandering within a world: Online contextualized few-shot learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Theoretical bounds on estimation error for meta-learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Representation Learning from Flow Equivariance.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Attacks On Multi-Agent Communication.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SceneGen: Learning To Generate Realistic Traffic Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Flexible Few-Shot Learning with Contextual Similarity.
CoRR, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR, 2020

LoCo: Local Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

End-to-end Contextual Perception and Prediction with Interaction Transformer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Agent Routing Value Iteration Network.
Proceedings of the 37th International Conference on Machine Learning, 2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Communicate and Correct Pose Errors.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning to Remember from a Multi-Task Teacher.
CoRR, 2019

Deformable Filter Convolution for Point Cloud Reasoning.
CoRR, 2019

Incremental Few-Shot Learning with Attention Attractor Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Graph HyperNetworks for Neural Architecture Search.
Proceedings of the 7th International Conference on Learning Representations, 2019

Identifying Unknown Instances for Autonomous Driving.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Learning to Reweight Examples for Robust Deep Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding Short-Horizon Bias in Stochastic Meta-Optimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

SBNet: Sparse Blocks Network for Fast Inference.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
The Reversible Residual Network: Backpropagation Without Storing Activations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
Proceedings of the 5th International Conference on Learning Representations, 2017

End-to-End Instance Segmentation with Recurrent Attention.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
End-to-End Instance Segmentation and Counting with Recurrent Attention.
CoRR, 2016

2015
Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.
CoRR, 2015

Exploring Models and Data for Image Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


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