Barret Zoph
29 papers · 2015–2024 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Mega-Team · Legion
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Prolific Year · Productive
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Unstoppable · Silver
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The Questioner
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Century Club · Bronze
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Conference Pioneer
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Trend Setter
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Keyword Collector
(70)
Venues
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Research topics
Machine Learning
(16)
Deep Learning
(11)
Application Areas
(9)
Optimization & Theory
(8)
Computer Vision
(7)
Learning Types · Deep Learning
(7)
Artificial Intelligence
(6)
Analysis
(6)
Learning Types · Machine Learning
(5)
Techniques
(5)
Learning Paradigms
(4)
Natural Language Processing
(3)
Architectures
(2)
Core AI
(2)
Generation
(2)
Keywords
image classification
(6)
data augmentation
(6)
transfer learning
(5)
neural architecture search
(5)
mixture of expert
(3)
semi-supervised learning
(3)
model scaling
(3)
language model
(3)
large language model
(3)
parameter efficiency
(3)
instruction tuning
(2)
few-shot learning
(2)
object detection
(2)
semantic segmentation
(2)
convolutional neural network
(2)
sparse activation
(2)
automatic speech recognition
(1)
scene parsing
(1)
reinforcement learning
(1)
policy search
(1)
Papers
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
JMLR 2022
Multi-Task Self-Training for Learning General Representations
ICCV 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NeurIPS 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
ICLR 2020
Improving 3D Object Detection through Progressive Population Based Augmentation
ECCV 2020
Learning Data Augmentation Strategies for Object Detection
ECCV 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
ECCV 2020
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
NeurIPS 2020
Rethinking Pre-training and Self-training
NeurIPS 2020
Attention Augmented Convolutional Networks
ICCV 2019
AutoAugment: Learning Augmentation Strategies From Data
CVPR 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Interspeech 2019
Efficient Neural Architecture Search via Parameters Sharing
ICML 2018
Learning Transferable Architectures for Scalable Image Recognition
CVPR 2018
Progressive Neural Architecture Search
ECCV 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
NeurIPS 2018
Understanding and Simplifying One-Shot Architecture Search
ICML 2018
Neural Optimizer Search with Reinforcement Learning
ICML 2017
Multi-Source Neural Translation
NAACL 2016
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies
NAACL 2016
Transfer Learning for Low-Resource Neural Machine Translation
EMNLP 2016
How Much Information Does a Human Translator Add to the Original?
EMNLP 2015