Mengye Ren

CoRR, 2024

PooDLe: Pooled and dense self-supervised learning from naturalistic videos.

[BibT_eX]

[DOI]

CoRR, 2024

Integrating Present and Past in Unsupervised Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CoLLEGe: Concept Embedding Generation for Large Language Models.

[BibT_eX]

[DOI]

Ryan Teehan

Brenden M. Lake

CoRR, 2024

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Learning and Forgetting Unsafe Examples in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation.

[BibT_eX]

[DOI]

Jack Lu

Ryan Teehan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos.

[BibT_eX]

[DOI]

Ying Wang

Yanlai Yang

CoRR, 2023

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

[BibT_eX]

[DOI]

Yixuan Luo

Sai Qian Zhang

CoRR, 2023

Scaling Forward Gradient With Local Losses.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning in temporally structured environments.

[BibT_eX]

[DOI]

Matt Jones

Tyler R. Scott

Gamaleldin Fathy Elsayed

Katherine L. Hermann

David Mayo

Michael Curtis Mozer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multitask Learning Via Interleaving: A Neural Network Investigation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Gaussian-Bernoulli RBMs Without Tears.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Reason With Relational Abstractions.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Closed-Loop Training for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Online Unsupervised Learning of Visual Representations and Categories.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Cost-Efficient Online Hyperparameter Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SketchEmbedNet: Learning Novel Concepts by Imitating Drawings.

[BibT_eX]

[DOI]

Alexander Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Wandering within a world: Online contextualized few-shot learning.

[BibT_eX]

[DOI]

Michael Louis Iuzzolino

Michael Curtis Mozer

Proceedings of the 9th International Conference on Learning Representations, 2021

Theoretical bounds on estimation error for meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Representation Learning from Flow Equivariance.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Attacks On Multi-Agent Communication.

[BibT_eX]

[DOI]

James Tu

Tsun-Hsuan Wang

Jingkang Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.

[BibT_eX]

[DOI]

Jingkang Wang

Ava Pun

James Tu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SceneGen: Learning To Generate Realistic Traffic Scenes.

[BibT_eX]

[DOI]

Shuhan Tan

Kelvin Wong

Shenlong Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Flexible Few-Shot Learning with Contextual Similarity.

[BibT_eX]

[DOI]

CoRR, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

LoCo: Local Contrastive Representation Learning.

[BibT_eX]

[DOI]

Yuwen Xiong

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Agent Routing Value Iteration Network.

[BibT_eX]

[DOI]

Quinlan Sykora

Proceedings of the 37th International Conference on Machine Learning, 2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.

[BibT_eX]

[DOI]

James Tu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Communicate and Correct Pose Errors.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning to Remember from a Multi-Task Teacher.

[BibT_eX]

[DOI]

Yuwen Xiong

CoRR, 2019

Deformable Filter Convolution for Point Cloud Reasoning.

[BibT_eX]

[DOI]

CoRR, 2019

Incremental Few-Shot Learning with Attention Attractor Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Graph HyperNetworks for Neural Architecture Search.

[BibT_eX]

[DOI]

Chris Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

Identifying Unknown Instances for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning to Reweight Examples for Robust Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding Short-Horizon Bias in Stochastic Meta-Optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

SBNet: Sparse Blocks Network for Fast Inference.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

The Reversible Residual Network: Backpropagation Without Storing Activations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

End-to-End Instance Segmentation with Recurrent Attention.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

End-to-End Instance Segmentation and Counting with Recurrent Attention.

[BibT_eX]

[DOI]

CoRR, 2016

2015

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

[BibT_eX]

[DOI]

Ryan Kiros

CoRR, 2015

Exploring Models and Data for Image Question Answering.

[BibT_eX]

[DOI]

Ryan Kiros