Thesis:

       Srijita Das,  Sample Efficient Cost-Aware Active Learning, PhD Dissertation, The University of Texas at Dallas, Dec 2020

Conference/Journal Papers:

1.  Dominick Reilly, Srijita Das and Srijan Das, Learning Pose-aware Representations in Vision Transformers for Understanding Activities of Daily Living, to appear in 8th Workshop and Competition on Affective and Behavior Analysis in-the-wild (ABAW) co-located with CVPR, 2025.

2. Tianpei Yang, Srijita Das, Christabel Wayllace and Matthew E. Taylor, Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning, in AAMAS 2025 (extended abstract)

3.  Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor and Alan Tay, An LLM-Guided Tutoring System for Social Skills Training, in AAAI 2025  (demonstration track)

4. Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial and Matthew E. Taylor, Human-AI Collaboration in  Real-World Complex Environment with Reinforcement Learning, in Neural Computing and Applications, 2025 [Journal]

5.  Chaitanya Kharyal, Tanmay Sinha, Sai Krishna Gottipati, Fatemah Abdollahi, Srijita Das and Matthew E. Taylor, Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning, in Neural Computing and Applications, 2025 [Journal]

6.  Chaitanya Kharyal, Sai Krishna Gottipati, Tanmay Sinha, Srijita Das and Matthew E. Taylor, GLIDE RL: Grounded Language Instruction through DEmonstration in RL, in AAMAS 2024 (extended abstract)

7.  Carl Orge Retzlaff, Srijita Das, Christabel Wayllace,  Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid,  Matthew E. Taylor and Andreas Holzinger,    Human-in-the-loop Reinforcement Learning:  A Survey of Requirements, Challenges, and Opportunities, Journal of Artificial Intelligence Research (JAIR), 2024 [Journal]

8.  Su Zhang, Srijita Das, Sriram Ganapathi and Matthew E. Taylor: Two Level Actor-Critic Using Multiple Teachers, in Transactions on Machine Learning Research (TMLR), 2023 [Journal]

9.  Chaitanya Kharyal, Tanmay Sinha, Sai Krishna Gottipati, Fatemah Abdollahi, Srijita Das and Matthew E. Taylor, Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep  Reinforcement Learning, in AAMAS 2023 (extended abstract)

10.  Su Zhang, Srijita Das, Sriram Ganapathi and Matthew E. Taylor, Two Level Actor-Critic Using Multiple Teachers, in  AAMAS 2023 (extended abstract)

11.  Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan, Active Feature Elicitation: An unified framework in Frontiers in Artificial Intelligence, 2023 [Journal]

12.  Michael Guevarra,  Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor and Alan Tay, Augmenting Flight Training with AI to Efficiently Train Pilots, in AAAI 2023  (demonstration track)

13. Srijita Das, Rishabh Iyer, Sriraam Natarajan, A Clustering based Selection Framework for  Cost Aware and Test-time Feature Elicitation, in CODS-COMAD 2021 [ppt] [video]  (Best Paper Honorable Mention, Research Track)

14. Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting, Fitted Q-Learning for Relational Domains. accepted as poster paper in KR 2020 [poster] [1-min video]

15. Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach in IJCAI 2018 [ppt]

16. Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea, Was my message read?: Privacy and Signaling on Facebook Messenger in CHI, 2017

17. Roberto Hoyle, Srijita Das, Apu Kapadia, Adam J. Lee, Kami Vaniea, Viewing the Viewers: Publishers' Desires and Viewers' Privacy Concerns in Social Networks in CSCW 2017

18. Shirin Nilizadeh, Anne Groggel, Peter Lista, Srijita Das, Yong-Yeol Ahn, Apu Kapadia, Fabio Rojas, Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility in  ICWSM 2016

Workshops:

1. 1.  Yuxuan Li, Srijita Das, Qinglin Liu and Matthew E. Taylor, Integrating Feedback and Noisy Preferences for Adaptive Robotic Control, in Reinforcement Learning Beyond Rewards  (RLBrew) Workshop at RLC 2024

   2. Tianpei Yang, Srijita Das, Christabel Wayllace and Matthew E. Taylor, Using Symbolic Planning with Deep RL to Improve Learning in Generalization, in Planning (GenPlan) Workshop at NeurIPS 2023 

   3.  Sahir, Ercument Ilhan, Srijita Das, Matthew E. Taylor, Methodical Advice Collection and Reuse in Deep Reinforcement Learning, in Adaptive & Learning Agents (ALA) Workshop at AAMAS 2022

   4. Srijita Das, Rishabh Iyer, Sriraam Natarajan, Cost Aware Feature Elicitation. KDD workshop on Knowledge-infused mining and learning for Social Impact (KiML), 2020  [ppt] [video]

   5. Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan, Active Feature Elicitation. Women in Machine Learnng (WiML) Workshop, 2019 [poster]