Michael A. Hedderich

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Natural Language Processing

Weakly Supervised Learning

Top Venues

Publications

Joongi Shin, Michael A. Hedderich, Bartlomiej Jakub Rey, Andrés Lucero, Antti Oulasvirta
Understanding Human-AI Workflows for Generating Personas. Conference on Designing Interactive Systems (2024)
Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR (2024)
Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CHI (2024)
Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CoRR (2024)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR (2023)
Adwait Sharma, Christina Salchow-Hömmen, Vimal Suresh Mollyn, Aditya Shekhar Nittala, Michael A. Hedderich, Marion Koelle, Thomas Seel, Jürgen Steimle
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Trans. Comput. Hum. Interact. 30 (3) (2023)
Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow
Meta Self-Refinement for Robust Learning with Weak Supervision. EACL (2023)
Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. NAACL-HLT (2022)
Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. CoRR (2022)
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. CoRR (2022)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML (2022)
Joongi Shin, Michael A. Hedderich, Andrés Lucero, Antti Oulasvirta
Chatbots Facilitating Consensus-Building in Asynchronous Co-Design. UIST (2022)
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. Insights@ACL (2022)
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. CoRR (2022)
Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow
Meta Self-Refinement for Robust Learning with Weak Supervision. CoRR (2022)
Michael A. Hedderich, Dawei Zhu, Dietrich Klakow
Analysing the Noise Model Error for Realistic Noisy Label Data. CoRR (2021)
Michael A. Hedderich, Dawei Zhu, Dietrich Klakow
Analysing the Noise Model Error for Realistic Noisy Label Data. AAAI (2021)
Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. ESANN (2021)
Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT (2021)
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR (2021)
Michael A. Hedderich, Lukas Lange, Dietrich Klakow
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR (2021)
Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR (2021)
Adwait Sharma, Michael A. Hedderich, Divyanshu Bhardwaj, Bruno Fruchard, Jess McIntosh, Aditya Shekhar Nittala, Dietrich Klakow, Daniel Ashbrook, Jürgen Steimle
SoloFinger: Robust Microgestures while Grasping Everyday Objects. CHI (2021)
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. EMNLP (Findings) (2020)
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers. CoRR (2020)
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. BlackboxNLP@EMNLP (2020)
Gabriele Bettgenhäuser, Michael A. Hedderich, Dietrich Klakow
Learning Functions to Study the Benefit of Multitask Learning. CoRR (2020)
Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. CoRR (2020)
David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. CoRR (2020)
Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. CoRR (2020)
Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. EMNLP (1) (2020)
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. EMNLP/IJCNLP (1) (2019)
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR (2019)
Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. CoRR (2019)
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) (2019)
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. CoRR (2019)
Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. NAACL-HLT (Student Research Workshop) (2019)
Michael A. Hedderich, Dietrich Klakow
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. DeepLo@ACL (2018)
Michael A. Hedderich, Dietrich Klakow
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. CoRR (2018)