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← Authors

Mengye Ren

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

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7)
🌍 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