Shubham Agarwal bio photo

Shubham Agarwal

Currently in Edinburgh, UK

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“Science is not only a discipline of reason but also of passion and love” - Stephen Hawking

Research Interest

Deep Learning, Vision and Language, Multimodal Dialog Generation, Conversational AI, Visual Dialog
I am particularly interested in Deep Learning and its interdisciplinary applications (V&L). Check out github for my latest activity.

Fun fact: My Erdős number is 4. See here.

Quick background

Past: @AdobeResearch | @GSoC | @XRCE | @IITDelhi

Challenges: Alana @ Alexa Prize Socialbot Challenge’ 18 | Pikabot @ Visual Dialog Challenge’ 18 | NLE @ E2E NLG Challenge’ 17

My (customary) bio

My research mostly focuses on visual grounding (symbol grounding) and context modeling (communicative grounding) in multi-modal visual conversational agents. I am interested to build machines that can see and talk. My research interests broadly span multi-modal representation and transfer learning for vision and language problems. Previously I also explored Natural Language Generation for data-to-text and knowledge grounded multi-modal dialog response generation. I was an integral part of Heriot-Watt’s “Alana” submission - finalists to Amazon’s Alexa Prize Socialbot Grand Challenge 2018. My submission was also the runner-up for the Visual Dialog Challenge 2018 and E2E NLG Challenge 2017. I am an active blogger, often contributing to open-source repositories for the democratization of AI. I also co-organized the Workshop on Evaluating NLG Evaluation (EvalNLGEval), served on the Program Committee for NeurIPS and ACL workshops, reviewed for NLP/AI conferences (ICLR, ACL, COLING), and published at top NLP conferences such as ACL, EMNLP, INLG, SIGDial.

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Where are the banner images from?

In case you are wondering, yes I have been to all these places! Yes, we own the copyright of these pictures! The images are from Death Valley, Yosemite (US), Northen lights in Iceland, Malta, Hawaii, Croatia, Vienna, Edinburgh.