Ekin Dogus Cubuk
16 papers · 2018–2024 · 4 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(56)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Application Areas
(8)
Learning Types · Machine Learning
(8)
Deep Learning
(7)
Core Methods
(6)
Optimization & Theory
(6)
Computer Vision
(3)
Architectures
(3)
Learning Types · Deep Learning
(3)
Techniques
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Analysis
(2)
Applications
(2)
Models
(2)
Keywords
data augmentation
(7)
semi-supervised learning
(5)
image classification
(5)
distribution shift
(3)
representation learning
(2)
transfer learning
(2)
graph neural network
(2)
generative model
(2)
crystal structure
(2)
computer vision
(2)
deep neural network
(2)
self-supervised learning
(1)
model robustness
(1)
object detection
(1)
feature learning
(1)
domain adaptation
(1)
benchmark evaluation
(1)
neural network optimization
(1)
adversarial training
(1)
conditional generation
(1)
Papers
Generative Hierarchical Materials Search
NeurIPS 2024
Scalable Diffusion for Materials Generation
ICLR 2024
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
ICML 2023
No One Representation to Rule Them All: Overlapping Features of Training Methods
ICLR 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
ICLR 2022
Deconstructing the Regularization of BatchNorm
ICLR 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NeurIPS 2021
Tradeoffs in Data Augmentation: An Empirical Study
ICLR 2021
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
ICLR 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NeurIPS 2020
Improving 3D Object Detection through Progressive Population Based Augmentation
ECCV 2020
JAX MD: A Framework for Differentiable Physics
NeurIPS 2020
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
NeurIPS 2020
Rethinking Pre-training and Self-training
NeurIPS 2020
A Fourier Perspective on Model Robustness in Computer Vision
NeurIPS 2019
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
NeurIPS 2018