I am a PhD student at USC, advised by Prof. Jesse Thomason. My research interests are across NLP and robotics; primarily around why (how) language is necessary for (can be utilized in) robot learning and embodied AI. I think that problems under Embodied AI are yet more foundational, and hold deep-rooted benefits for the society.
Previously, I was an undergrad at IIT Kanpur, where I worked on topics relating to NLP and theoretical ML with Prof. Ashutosh Modi (IIT-K), Prof. Nisheeth Srivastava (IIT-K), and Prof. Pengtao Xie ( UC San Diego). I have spent one of my summers interning at Adobe Research, where I also received the Adobe India WIT Scholarship 2020.
PhD, Computer Science, 2021
University of Southern California, LA, CA
B.Tech., double major in Computer Science and Chemical Engineering, 2016 - 2021
Indian Institute of Technology Kanpur, India
Feb, 2022 | Co-organizing vision-and-dialogue
TEACh TATC Challenge @
Embodied AI Workshop, CVPR'22.
Dec, 2021 | I will be interning at NVIDIA AI Robotics Research Lab, Seattle in Summer'22!
Dec, 2021 | Work on Interactive Fiction Games accepted as extended abstract at AAMAS'22. [ arXiv].
Aug, 2021 | Joined the CS PhD program at USC as a member in the GLAMOR Lab.
Sept, 2020 | Work on Affective Text Generation accepted as long paper at COLING'20. [ arXiv]
Sept, 2020 | Adobe released a blog on my internship at Adobe Research, India! [ Read here]
Jun, 2020 | Work on Differentially-private Federated Neural Architecture Search accepted at FL-ICML'20. [ arXiv]
Dec, 2019 | Received Adobe India WIT Scholarship 2020. [ Adobe’s Blog][ Getting-through-it Advice!]
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
Adapting a Language Model for Controlled Affective Text Generation
Ishika Singh*, Ahsan Barkati*, Tushar Goswamy, Ashutosh Modi
Differentially-private Federated Neural Architecture Search
Ishika Singh*, Haoyi Zhou*, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie