Thomas Unterthiner
14 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Pioneer
ποΈ
Keyword Collector
(68)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(11)
Architectures
(9)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Techniques
(5)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Optimization & Theory
(3)
Analysis
(2)
Application Areas
(2)
Generation
(2)
Reinforcement Learning
(1)
Keywords
image classification
(4)
vision transformer
(4)
image generation
(3)
generative adversarial network
(3)
transfer learning
(3)
representation learning
(3)
convolutional neural network
(3)
unsupervised learning
(2)
neural network
(2)
nash equilibrium
(2)
attention mechanism
(2)
sparse coding
(1)
computer vision
(1)
model calibration
(1)
feature extraction
(1)
reinforcement learning
(1)
neural architecture
(1)
deep learning
(1)
convergence analysis
(1)
batch normalization
(1)
Papers
Set Learning for Accurate and Calibrated Models
ICLR 2024
GradMax: Growing Neural Networks using Gradient Information
ICLR 2022
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
ICLR 2021
Differentiable Patch Selection for Image Recognition
CVPR 2021
Do Vision Transformers See Like Convolutional Neural Networks?
NeurIPS 2021
MLP-Mixer: An all-MLP Architecture for Vision
NeurIPS 2021
Understanding Robustness of Transformers for Image Classification
ICCV 2021
Object-Centric Learning with Slot Attention
NeurIPS 2020
RUDDER: Return Decomposition for Delayed Rewards
NeurIPS 2019
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
ICLR 2018
First Order Generative Adversarial Networks
ICML 2018
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
NeurIPS 2017
Self-Normalizing Neural Networks
NeurIPS 2017
Rectified Factor Networks
NeurIPS 2015