Thomas Unterthiner
14 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
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(5)
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(14)
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Unstoppable
(6)
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Keyword Collector
(51)
Conferences
NIPS (7)
ICLR (4)
CVPR (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
image classification
(3)
vision transformer
(3)
representation learning
(3)
convolutional neural network
(3)
unsupervised learning
(2)
attention mechanism
(2)
generative adversarial network
(2)
neural network
(2)
image generation
(2)
transfer learning
(2)
temporal difference learning
(1)
sparse coding
(1)
batch normalization
(1)
convergence analysis
(1)
reinforcement learning
(1)
fine-grained recognition
(1)
feature extraction
(1)
image recognition
(1)
nash equilibrium
(1)
markov decision process
(1)
Papers
Set Learning for Accurate and Calibrated Models
ICLR 2024
GradMax: Growing Neural Networks using Gradient Information
ICLR 2022
Understanding Robustness of Transformers for Image Classification
ICCV 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
ICLR 2021
MLP-Mixer: An all-MLP Architecture for Vision
NIPS 2021
Differentiable Patch Selection for Image Recognition
CVPR 2021
Do Vision Transformers See Like Convolutional Neural Networks?
NIPS 2021
Object-Centric Learning with Slot Attention
NIPS 2020
RUDDER: Return Decomposition for Delayed Rewards
NIPS 2019
First Order Generative Adversarial Networks
ICML 2018
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
ICLR 2018
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
NIPS 2017
Self-Normalizing Neural Networks
NIPS 2017
Rectified Factor Networks
NIPS 2015