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Barret Zoph

29 papers · 2015–2024 · 10 conferences · across top CS/AI conferences

Achievements

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Conferences

ICML (5) ECCV (4) NIPS (4) CVPR (3) JMLR (3) NAACL (3) EMNLP (2) ICCV (2) ICLR (2) INTERSPEECH (1)

Top co-authors

Quoc V. Le (12) Jonathon Shlens (7) Ekin D. Cubuk (6) Tsung-Yi Lin (5) Denny Zhou (5) Ekin Dogus Cubuk (5) Vijay Vasudevan (5) Jason Wei (5) Shayne Longpre (4) Kevin Robinson (4)

Keywords

image classification (5) neural architecture search (5) data augmentation (5) transfer learning (5) semi-supervised learning (3) language model (3) model scaling (3) few-shot learning (2) mixture of expert (2) object detection (2) parameter efficiency (2) large language model (2) semantic segmentation (2) sparse activation (2) convolutional neural network (2) automatic speech recognition (1) scene parsing (1) reinforcement learning (1) policy search (1) knowledge distillation (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 The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ICML 2023 PaLM: Scaling Language Modeling with Pathways JMLR 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 NIPS 2021 Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation CVPR 2021 Learning Data Augmentation Strategies for Object Detection ECCV 2020 AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ICLR 2020 Improving 3D Object Detection through Progressive Population Based Augmentation 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 NIPS 2020 Rethinking Pre-training and Self-training NIPS 2020 AutoAugment: Learning Augmentation Strategies From Data CVPR 2019 Attention Augmented Convolutional Networks ICCV 2019 SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition INTERSPEECH 2019 Progressive Neural Architecture Search ECCV 2018 Learning Transferable Architectures for Scalable Image Recognition CVPR 2018 Understanding and Simplifying One-Shot Architecture Search ICML 2018 Efficient Neural Architecture Search via Parameters Sharing ICML 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NIPS 2018 Neural Optimizer Search with Reinforcement Learning ICML 2017 Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2016 Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies NAACL 2016 Multi-Source Neural Translation NAACL 2016 How Much Information Does a Human Translator Add to the Original? EMNLP 2015