← Authors

Mengye Ren

34 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (11) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🌱 Topic Pioneer 🀝 Dynamic Duo (18) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (101) ❓ The Questioner ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (9)

Conferences

ICLR (8) CVPR (6) ICML (6) NIPS (5) CORL (4) ECCV (3) ICCV (2)

Top co-authors

Raquel Urtasun (18) James Tu (5) Yuwen Xiong (5) Richard Zemel (5) Sivabalan Manivasagam (4) Bin Yang (4) Wenyuan Zeng (4) Sergio Casas (4) Jingkang Wang (4) Ryan Teehan (3)

Keywords

convolutional neural network (4) autonomous driving (4) object detection (3) representation learning (2) instance segmentation (2) semantic segmentation (2) few-shot learning (2) adversarial attack (2) autonomous vehicle (2) multi-agent communication (2) point cloud (2) self-supervised learning (2) scene understanding (1) local learning (1) pose estimation (1) domain adaptation (1) catastrophic forgetting (1) path planning (1) attention mechanism (1) continual learning (1)

Papers

PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos ICLR 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models ICML 2025
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle ICML 2025
"ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation" ECCV 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NIPS 2024
Learning and Forgetting Unsafe Examples in Large Language Models ICML 2024
Scaling Forward Gradient With Local Losses ICLR 2023
Learning in temporally structured environments ICLR 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds CVPR 2023
Rethinking Closed-Loop Training for Autonomous Driving ECCV 2022
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021
Wandering within a world: Online contextualized few-shot learning ICLR 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CORL 2021
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021
SceneGen: Learning To Generate Realistic Traffic Scenes CVPR 2021
Self-Supervised Representation Learning From Flow Equivariance ICCV 2021
Adversarial Attacks on Multi-Agent Communication ICCV 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021
Theoretical bounds on estimation error for meta-learning ICLR 2021
Learning to Communicate and Correct Pose Errors CORL 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations ECCV 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020
Multi-Agent Routing Value Iteration Network ICML 2020
LoCo: Local Contrastive Representation Learning NIPS 2020
Identifying Unknown Instances for Autonomous Driving CORL 2019
Graph HyperNetworks for Neural Architecture Search ICLR 2019
Incremental Few-Shot Learning with Attention Attractor Networks NIPS 2019
SBNet: Sparse Blocks Network for Fast Inference CVPR 2018
Learning to Reweight Examples for Robust Deep Learning ICML 2018
Meta-Learning for Semi-Supervised Few-Shot Classification ICLR 2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018
The Reversible Residual Network: Backpropagation Without Storing Activations NIPS 2017
End-To-End Instance Segmentation With Recurrent Attention CVPR 2017
Exploring Models and Data for Image Question Answering NIPS 2015