Tassilo Klein

Orcid: 0000-0002-0631-2940

Affiliations:
  • Technical University Munich, Germany


According to our database1, Tassilo Klein authored at least 41 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization.
CoRR, 2024

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models.
CoRR, 2024

2023
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Mixture-of-experts VAEs can disregard variation in surjective multimodal data.
CoRR, 2022

SCD: Self-Contrastive Decorrelation of Sentence Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Multimodal Prototypical Networks for Few-shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Multimodal Self-supervised Learning for Medical Image Analysis.
Proceedings of the Information Processing in Medical Imaging, 2021

Attention-based Contrastive Learning for Winograd Schemas.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Learning Graph-Based Priors for Generalized Zero-Shot Learning.
CoRR, 2020

Human-Machine Collaboration for Medical Image Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Contrastive Self-Supervised Learning for Commonsense Reasoning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Pruning at a Glance: Global Neural Pruning for Model Compression.
CoRR, 2019

Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds.
CoRR, 2019

Low-Shot Learning From Imaginary 3D Model.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Self-Paced Adversarial Training for Multimodal Few-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Weakly Supervised One Shot Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Budget-Aware Adapters for Multi-Domain Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention Is (not) All You Need for Commonsense Reasoning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
NeuroImage, 2018

Gaussian process uncertainty in age estimation as a measure of brain abnormality.
NeuroImage, 2018

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA.
CoRR, 2018

Cross-modal Hallucination for Few-shot Fine-grained Recognition.
CoRR, 2018

Discriminative Hallucination for Multi-Modal Few-Shot Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Differentially Private Federated Learning: A Client Level Perspective.
CoRR, 2017

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015
RF Ultrasound Distribution-Based Confidence Maps.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2012
Statistical Image Processing of Medical Ultrasound Radio Frequency Data.
PhD thesis, 2012

The 2D analytic signal for envelope detection and feature extraction on ultrasound images.
Medical Image Anal., 2012

Ultrasound confidence maps using random walks.
Medical Image Anal., 2012

Modeling of Multi-View 3D Freehand Radio Frequency Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Registration of RF ultrasound data using hybrid local binary patterns.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain.
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012

2011
Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Spatial statistics based feature descriptor for RF ultrasound data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

The 2D Analytic Signal on RF and B-Mode Ultrasound Images.
Proceedings of the Information Processing in Medical Imaging, 2011

2009
Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

2007
Fiducial-Free Registration Procedure for Navigated Bronchoscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Interactive Guidance System for C-Arm Repositioning Without Radiation.
Proceedings of the Bildverarbeitung für die Medizin 2007, 2007


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