Quoc V. Le

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 JMLR 2025 Scaling Instruction-Finetuned Language Models JMLR 2024 HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ECCV 2024 Long-form factuality in large language models NIPS 2024 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024 DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022 Multi-Task Self-Training for Learning General Representations ICCV 2021 Searching for Fast Model Families on Datacenter Accelerators CVPR 2021 Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation CVPR 2021 Meta Pseudo Labels CVPR 2021 Improved Noisy Student Training for Automatic Speech Recognition INTERSPEECH 2020 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ICLR 2020 ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ICLR 2020 Adversarial Examples Improve Image Recognition CVPR 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 EfficientDet: Scalable and Efficient Object Detection CVPR 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 Self-Training With Noisy Student Improves ImageNet Classification CVPR 2020 Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020 PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020 Rethinking Pre-training and Self-training NIPS 2020 Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing NIPS 2020 Unsupervised Data Augmentation for Consistency Training NIPS 2020 Evolving Normalization-Activation Layers NIPS 2020 RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NIPS 2020 Learning Data Augmentation Strategies for Object Detection ECCV 2020 SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition INTERSPEECH 2019 Regularized Evolution for Image Classifier Architecture Search AAAI 2019 BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL 2019 AutoAugment: Learning Augmentation Strategies From Data CVPR 2019 Do Better ImageNet Models Transfer Better? CVPR 2019 MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019 NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection CVPR 2019 Searching for MobileNetV3 ICCV 2019 Attention Augmented Convolutional Networks ICCV 2019 Diversity and Depth in Per-Example Routing Models ICLR 2019 QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension ICLR 2018 Learning Transferable Architectures for Scalable Image Recognition CVPR 2018 A Hierarchical Model for Device Placement ICLR 2018 Don't Decay the Learning Rate, Increase the Batch Size ICLR 2018 Neural Optimizer Search with Reinforcement Learning ICML 2017 Large-Scale Evolution of Image Classifiers ICML 2017 Device Placement Optimization with Reinforcement Learning ICML 2017 Large Scale Distributed Deep Networks NIPS 2012 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011 Bundle Methods for Regularized Risk Minimization JMLR 2010 Tiled convolutional neural networks NIPS 2010 Estimating Labels from Label Proportions JMLR 2009 Measuring Invariances in Deep Networks NIPS 2009 Tighter Bounds for Structured Estimation NIPS 2008 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NIPS 2007 Bundle Methods for Machine Learning NIPS 2007 Nonparametric Quantile Estimation JMLR 2006 Learning to Rank with Nonsmooth Cost Functions NIPS 2006