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Ekin D. Cubuk

7 papers · 2019–2021 · 5 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

CVPR (2) ECCV (2) ICCV (1) ICLR (1) Interspeech (1)

Top co-authors

Barret Zoph (6) Quoc V. Le (5) Tsung-Yi Lin (3) Golnaz Ghiasi (3) Jonathon Shlens (2) Rui Qian (1) Vijay Vasudevan (1) Liang-Chieh Chen (1) Dandelion Mane (1) Maxwell D. Collins (1)

Research topics

Machine Learning (5) Application Areas (5) Deep Learning (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (3) Computer Vision (2) Artificial Intelligence (1) Speech & Audio (1) Analysis (1) Core AI (1) Learning Paradigms (1) Optimization & Theory (1) Recognition (1)

Keywords

data augmentation (4) transfer learning (2) semi-supervised learning (2) neural architecture search (1) automatic speech recognition (1) pseudo labeling (1) instance segmentation (1) distribution matching (1) policy search (1) object segmentation (1) convolutional neural network (1) pseudo label (1) student model (1) teacher model (1) filterbank feature (1) feature warping (1) frequency masking (1) time masking (1) multi-task self-training (1) general representation (1)

Papers

Multi-Task Self-Training for Learning General Representations ICCV 2021 Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation CVPR 2021 Learning Data Augmentation Strategies for Object Detection ECCV 2020 Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation ECCV 2020 ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring ICLR 2020 AutoAugment: Learning Augmentation Strategies From Data CVPR 2019 SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Interspeech 2019