Thomas Unterthiner
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
2020/10/22 by Alexey Dosovitskiy, Dosovitskiy, Alexey, Lucas Beyer +21 · 6 voices · 4619 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
- Self-Normalizing Neural Networks
2017/06/08 by Günter Klambauer, Thomas Unterthiner, Andreas Mayr +1 · 3 voices · 73 citations
#cs.LG #stat.ML
- MLP-Mixer: An all-MLP Architecture for Vision
2021/05/04 by Ilya Tolstikhin, Tolstikhin, Ilya, Neil Houlsby +22 · 3 voices · 200 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
- Do Vision Transformers See Like Convolutional Neural Networks?
2021/08/19 by Maithra Raghu, Raghu, Maithra, Thomas Unterthiner +7 · 2 voices · 82 citations
#cs.CV #cs.AI #cs.LG #stat.ML
- PaliGemma: A versatile 3B VLM for transfer
2024/07/10 by Lucas Beyer, Beyer, Lucas, Andreas Steiner +72 · 1 voice · 207 citations
Engineering · #cs.CV #cs.AI #cs.CL #cs.LG
- Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
2015/11/23 by Djork-Arné Clevert, Thomas Unterthiner, Clevert, Djork-Arné +3 · 325 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
- Towards Accurate Generative Models of Video: A New Metric & Challenges
2018/12/03 by Thomas Unterthiner, Unterthiner, Thomas, Sjoerd van Steenkiste +9 · 212 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Video Analysis and Summarization #Human Pose and Action Recognition
- Getting aligned on representational alignment
2023/10/18 by Ilia Sucholutsky, Lukas Muttenthaler, Sucholutsky, Ilia +66 · 10 voices · 36 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Neuroscience · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Neural dynamics and brain function #cs.AI #cs.LG #cs.NE #q-bio.NC
- Object-Centric Learning with Slot Attention
2020/06/26 by Francesco Locatello, Locatello, Francesco, Dirk Weissenborn +13 · 110 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Visual Attention and Saliency Detection
- Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
2018/03/26 by Kristina Preuer, Philipp Renz, Preuer, Kristina +7 · 32 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
- RUDDER: Return Decomposition for Delayed Rewards
2018/06/20 by Jose A. Arjona-Medina, Michael Gillhofer, Arjona-Medina, Jose A. +9 · 13 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #Topic Modeling
- Predicting Neural Network Accuracy from Weights
2020/02/26 by Thomas Unterthiner, Daniel Keysers, Unterthiner, Thomas +7 · 15 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
2024/04/05 by Oliver T. Unke, Martin Stöhr, Stefan Ganscha +9 · 1 voice · 7 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Machine Learning in Materials Science #Protein Structure and Dynamics