Welcome! Let's know Shailza Jolly
Hi! My name is Shailza Jolly, a 3rd year Ph.D. student at TU Kaiserslautern . My Ph.D. advisor is Prof. Andreas Dengel , the scientific director of German Research Center of Artificial Intelligence, where I also work as a research assistant. I am primarily interested in developing machine learning methods for building natural language generation and understanding systems in data constrained settings. My other research interests include vision and language systems, interpretability, and conversational AI.
I completed my master's in computer science from TU Kaiserslautern and spent a semester abroad at Kyushu University in Japan, where my work "How do Convolutional Neural Networks Learn Design?" won the best student paper award at ICPR 2018. I have done my bachelors from GNDEC in India.
During my studies, I have done internships at Karlsruhe Institute of Technology, Germany , SAP AI Research , Amazon Alexa and NVIDIA Research .
I have been a visiting researcher in the labs of Prof. Seiichi Uchida , Prof. Lili Mou and Prof. Isabelle Augenstein .
Possessing a hard-working nature, I am always looking for opportunities where I can work on my growth areas. I believe that learning is a continuous process, and knowledge sharing is one of the best ways to boost one's learning graph. With a lot of advances happening in AI especially towards the fusion of different modalities, I believe that a smaller contribution added today can lead to great offerings for tomorrow. So, if you are working in areas similar to my interests, and are interested to contribute towards an exciting future, let's start working for it together.
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AWARDS
[February 2022] Awarded AAAI-22 scholarship from Hitachi to attend AAAI 2022 conference.
[April 2021] Received AI Newcomer Award by German Informatics Society and the Federal Ministry of Education and Research (BMBF) , Germany.
[December 2020] Received EU-Cost STSM Grant to work on Multi3generation project at CopeNLU.
[August 2019] Awarded a travel grant to attend Amazon AI Research Colloquium at Cambridge UK.
[April 2019] Awarded a 3rd position in TextVQA challenge at ICDAR, 2019.
[February 2019] Awarded Ph.D. Research Fellowship by TU Kaiserslautern, Germany.
[January 2019] Awarded a travel grant to attend Pre-Doctoral School at Max Planck Institute for Intelligent Systems, Tuebingen, Germany.
[August 2018] Awarded Best Student Paper Award at ICPR 2018 along with a prize money of 500 USD. Work was done in the lab of Prof. Uchida from Kyushu University, Japan.
[November 2017] Awarded a travel grant to work at Kyushu University, Japan.
[July 2017] Awarded a travel grant to attend Deep Learning Summer School, Bilbao (2017).
[2010] Awarded academic scholarship worth INR 10000 in All India Secondary School Exam.
[2010] Among top 0.1% students for National level Class 10 Maths Exam (A1 Grade).
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TEACHING ACTIVITIES
[October 2021] Teaching assistant in lecture series on Applications of Machine Learning and Data Science for WS 2021/22.
[October 2021] Supervised a masters seminar (4 ECTS credits): Data augmentation for Vision and Language systems.
[April 2020] Supervised a masters project (8 ECTS credits): Unsupervised methods for Natural language Generation.
[April 2020] Supervised a bachelors seminar (4 ECTS credits): A survey of pretrained models in Vision and Language.
[October 2019] Supervised a masters seminar (4 ECTS credits): Controlled Natural Language Generation using Deep Learning.
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MEDIA COVERAGE
[August 2021] I got featured in the blog post for interns at NVIDIA.
[May 2021] Interview featured in the Rheinfalz newspaper.
[May 2021] Radio interview for Antenne Kaiserslautern, Germany.
[April 2021] Mentions in some online portals like one , two and three .
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INVITED TALKS / PRESENTATIONS
[February 2022] Oral & Poster presentation at AAAI,2022.
[June 2021] Oral & Poster presentation at NAACL,2021.
[March 2021] Invited talk at the CopeNLU, Denmark. Invitation from Prof. Isabelle Augenstein.
[January 2021] Oral & Poster presentation at ICPR,2020.
[January 2021] Invited talk at the Intel Labs. Invitation from Dr. Ramesh Manuvinakurike.
[October 2020] Invited talk at the Language Technology Lab, Saarland Germany . Invitation from Prof. Guenter Neumann.
[October 2020] Oral presentation at COLING,2020.
[October 2020] Oral presentation at LANTERN, COLING,2020.
[October 2020] Invited talk at the University of Alberta, Canada . Invitation from Prof. Lili Mou.
[August 2019] Poster Presentation at Amazon AI Research Colloquium, Cambridge UK.
[September 2018] Poster Presentation at Workshop on Shortcomings in Vision and Language (SiVL), ECCV, 2018.
[August 2018] Oral Presentation at ICPR, 2018.
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Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
S. Jolly, P. Atanasova, I. Augenstein
arXiv, 2021
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Search and Learn: Improving Semantic Coverage for Data-to-Text Generation S. Jolly, Z. Zhang, A. Dengel, L. Mou
AAAI, 2022
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EaSe: A Diagnostic Tool for VQA Based on Answer Diversity S. Jolly, S.Pezzelle, M. Nabi
NAACL, 2021
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Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems S. Jolly, T.Falke, C.Tirkaz, D.Sorokin
COLING, 2020
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Can Pre-training help VQA with Lexical Variations? S. Jolly, S.Kapoor
EMNLP Findings, 2020
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Leveraging Visual Question Answering to Improve Text-to-Image Synthesis S. Frolov, S.Jolly , J.Hees, A.Dengel
LANTERN, COLING 2020
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P ≈ NP, at least in Visual Question Answering S. Jolly*, S.Palacio, J.Folz, F.Raue, J.Hees, A.Dengel
International Conference on Pattern Recognition (ICPR), 2020
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The Wisdom of MaSSeS:
Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA S. Jolly*, S.Pezzelle, T.Klein, A.Dengel, M.Nabi
arXiv, 2018
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How do Convolutional Neural Networks
Learn Design? S. Jolly*, B.Iwana
, R.Kuroki, S.Uchida
International Conference on Pattern Recognition (ICPR), 2018
Best Student Paper Award
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