About
I’m a Machine Learning Researcher/Engineer at Verneek AI, focusing on developing personalized e-commerce search. Previously, I have led applied research in speech recognition and synthesis at Walmart India, playing a key role in developing a multilingual voice assistant. On the academic side, I’ve completed a Master’s in Computer Science with a Machine Learning specialization at Georgia Tech. My educational journey began at IIT Varanasi, where I earned my bachelor’s in Computer Science with top honors. For further details, please refer to my CV.
My research interests include Equitable, Fair, and Human-Centered AI, as well as AI applications with a focus on social impact.
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My research interests include Equitable, Fair, and Human-Centered AI, as well as AI applications with a focus on social impact. Broadly, I'm drawn to the intersection of AI and society, especially as AI's integration into our lives becomes more prevalent. Echoing Prof. Fei Fei Li's words from her memoir, "It matters what motivates the development of AI, in both science and industry, and I believe that motivation must explicitly center on human benefit," my research motivation follows a similar ethos. Key questions I want to explore include: How can we design, develop and evaluate AI models to ensure equitable and fair benefits across the entire spectrum of humanity? How can we best leverage AI advancements to uplift underprivileged communities in profoundly impactful areas like education and healthcare? I am excited to tackle the challenges in answering these questions with interdisciplinary knowledge, aiming to use AI as a catalyst to bridge socio-economic gaps in society.
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Apart from research and academics, I nurture my "self" with running, biking, photography, Stoic philosophy, and music.
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Apart from research and academics, I nurture my "self" with running, biking, photography, Stoic philosophy, and music.
Since 2020, I've been actively engaged in long-distance running, completing three half-marathons with a best time of 2:04:54, one of which was on an 800m track. This passion has led me to secure a spot in the 2024 NYC Half-Marathon, with ambitions for the Full Marathon soon after. My interest in biking complements my running; I've covered distances up to 50.69 miles in a single journey.
Turning to my creative side, photography allows me to capture and share the beauty of landscapes and nature. You can explore these visual stories on my Flickr page. My reading preferences lean towards biographies and philosophy, offering insights into other's lives and broader perspectives on my own. Stoic philosophy, in particular, resonates with me. Its perspective of the universe as an intelligent and interconnected system, with each of us playing a part, strengthens my understanding of life's events as contributing to a larger purpose. For those curious about Stoicism, I recommend Marcus Aurelius' 'Meditations' as a good starting point.
Music is the final chord in my symphony of interests, where I find harmony in the diverse rhythms of hard/post-rock and Sufi music. If this unique blend piques your interest, Andre Antunes' work is a must-listen, beautifully merging these genres. Show less.
Publications
Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan. Enhancing Textbooks with Visuals from the Web for Improved Learning. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Main), Singapore, December 2023.
Janvijay Singh*, Mukund Rungta*, Diyi Yang, Saif Mohammad. Forgotten Knowledge: Examining the Citational Amnesia in NLP. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Main), Toronto, Canada, July 2023. Best Paper Honourable Mention.
Janvijay Singh, Fan Bai, Zhen Wang. Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023, Main), Dubrovnik, Croatia, May 2023.
Mukund Rungta*, Janvijay Singh*, Saif Mohammad, Diyi Yang. Geographic Citation Gaps in NLP Research. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Main), Abu Dhabi, UAE, December 2022.
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Janvijay Singh, Anshul Wadhawan. Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings. Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), at EMNLP 2020, Online, November 2020. Shared Task Winner.
Janvijay Singh. Sentence and List Extraction in Noisy PDF Text Using a Hybrid Deep Learning and Rule-Based Approach. Proceedings of the Second Workshop on Financial Technology and Natural Language Processing (FinNLP 2020) at IJCAI-PRICAI 2020, Kyoto, Japan, January 2020. Shared Task Winner.
Janvijay Singh, Raviraj Joshi. Background Sound Classification in Speech Audio Segments. Proceedings of the Tenth International Conference on Speech Technology and Human-Computer Dialogue (SpED 2019), Timișoara, Romania, October 2019.
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* denotes equal author contribution.
Teaching
I have served as a Teaching Assistant for the following courses:
- CS 7643: Deep Learning, Spring 2023, Georgia Institute of Technology, Atlanta.
- CSE 6740: Computational Data Analysis, Fall 2022. Georgia Institute of Technology, Atlanta.
- CS 7650: Natural Language Processing, Spring 2022, Georgia Institute of Technology, Atlanta.
- CS 4641: Machine Learning, Fall 2021, Georgia Institute of Technology, Atlanta.
- CSO 101: Computer Programming and Linux, Fall & Spring 2017, Indian Institute of Technology, Varanasi.
The best way to reach me is via email: janvijay [dot] singh [dot] cse14 [at] gmail [dot] com