| 12:50 to 1:00 PM | Welcome Address and Introduction of Organizing Committee Members and Keynote Speakers | |||
| 1:00 to 1:45 PM | Keynote Talk #1: Dr. Forest Agnostinelli, AI Institute, USC | Title: Specifying Goals to Deep Neural Networks with Answer Set Programming | 40 mins Talk | 5 mins QA |
| 1:45 to 2:30 PM | Keynote Talk #2: Dr. Pavan Kapanipathi, IBM Research | Title: A self-supervised rule learning framework for language understanding | 40 mins Talk | 5 mins QA |
| 2:30 to 2:35 PM | Break (5 mins) Awesome time for Questions and Interactions with the Community | |||
| 2:35 to 2:50 PM | Oral Presentation 1: Anantaa Kotal, Nilanjana Das, and Anupam Joshi | Title: Knowledge Infusion in Privacy Preserving Data Generation | 10 mins Talk | 5 mins QA |
| 2:50 to 3:05 PM | Oral Presentation 2: Ran Liu and Charles Nicholas | Title: A Feature Set of Small Size for the PDF Malware Detection | 10 mins Talk | 5 mins QA |
| 3:05 to 3:20 PM | Oral Presentation 3: Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit Sheth | "Title: IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations" | 10 mins Talk | 5 mins QA |
| 3:20 to 4:05 PM | Keynote Talk #3: Dr. Sameer Singh, UC Irvine | Title: Editing Machines: Updating Text with Up-to-date Information | 30 mins Talk | 5 mins QA |
| 4:05 to 4:50 PM | Keynote Talk #4: Dr. Mayur Naik, UPENN | Title: Scallop: A Language for Neurosymbolic Programming | 30 mins Talk | 5 mins QA |
| 4:50 to 5:05 PM | Oral Presentation 4: Priyanshul Govil, Vamshi Krishna Bonagiri, Muskan Garg, Ponnurangam Kumaraguru | Title: Representation Learning for Identifying Depression Causes in Social Media | 10 mins Talk | 5 mins QA |
| 5:05 to 5:10 PM | Wrap up and Remaining Q/A sessions |
