Mengye Ren

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