Aditya Mogadala

Research Interests

Machine Learning, Natural Language Processing, Vision and Language

Publications

Aditya Mogadala, Marius Mosbach, and Dietrich Klakow. “Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation.” International Conference on Machine Learning (ICML) Workshop. 2020.

Aditya Mogadala, Xiaoyu Shen and Dietrich Klakow. “Integrating Image Captioning with Rule-based Entity Masking”. International Joint Conference on Artificial Intelligence (IJCAI) Workshop 2020.

Aleena Thomas, David Adelani, Ali Davody, Aditya Mogadala, Dietrich Klakow. “Investigating the Impact of Pre-trained Word Embeddings on Memorization in Neural Networks”. International Conference on Text, Speech and Dialogue (TSD). 2020.

Aditya Mogadala, Dietrich Klakow, Sandro Pezzelle, and Marie Francine Moens. “Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN).” In Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN). 2019.

Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, and Dietrich Klakow. “Automatic Judgement of Neural Network-Generated Image Captions.” International Conference on Statistical Language and Speech Processing (SLSP). 2019.

Current Students (Co-Supervision)

Marimuthu Kalimuthu (MSc) – Fusion Models for Image Captioning

Former Students (Co-Supervision/Reviewer)

Dawei Zhu (MSc) – Manipulating Images with Natural Language

Rajarshi Biswas (MSc) – Diverse Image Caption Generation and Automated Human Judgement through Active Learning

Gabriele Bettgenhäuser (MSc) – Simulations of Sequence Labeling Tasks to Study the Benefit of Multitask Learning