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Quoc V. Le

55 papers · 2006–2025 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (11) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ‘₯ Mega-Team (35) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (13) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (64) πŸ’Ž Century Club (55) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7)

Conferences

NIPS (16) CVPR (15) ICLR (6) JMLR (5) ECCV (3) ICCV (3) ICML (3) INTERSPEECH (2) AAAI (1) ACL (1)

Top co-authors

Quoc V Le (16) Barret Zoph (12) Golnaz Ghiasi (8) Mingxing Tan (8) Tsung-Yi Lin (7) Vijay Vasudevan (6) Ekin D. Cubuk (5) Alex J. Smola (5) Hanxiao Liu (5) Jonathon Shlens (5)

Research topics

Statistics (1) Core AI (1)

Keywords

neural architecture search (13) image classification (13) convolutional neural network (8) data augmentation (8) object detection (7) semi-supervised learning (6) transfer learning (6) knowledge distillation (4) pseudo label (4) efficient computing (4) support vector machine (3) feature pyramid (3) neural network (3) convex optimization (3) model scaling (3) latency optimization (3) automatic speech recognition (2) neural network architecture (2) pseudo labeling (2) feature learning (2)

Papers

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