Technical sessions are organized at Main Auditorium (3rd Floor) Aamantran (3rd Floor) R109 (Ground Floor) and R103 (Ground Floor)
Lunch and Poster sessions are organized in the Basement
Aamantran will be used as an all-day networking zone along with the Sponsor’s booth between 5th and 7th Jan
Registration
Ground Floor, Ramanujan Building |
Tutorial 1: Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening Main Auditorium |
Tutorial 2: Towards understanding and mitigating the hallucinations in NLP and Speech Aamantran |
Tutorial 3: Contrastive learning: Big Data Foundations and Applications R109 |
Tea/Coffee Break
Basement, Ramanujan Building |
Tutorial 4: Building Knowledge Graph for Products at Web Scale Aamantran |
Tutorial 5: Counter Turing Test (CT^2): Identifying the Origin of Texts - Human or AI? Main Auditorium |
Tutorial 6: Beyond Point Estimates: Theory & Applications of Uncertainty Estimates for Supervised Models R109 |
Lunch Break
Basement, Ramanujan Building |
D&I Workshop: Data Science for Inclusivity Session # 1 Main Auditorium |
Tutorial 7: Deep Tractable Probabilistic Models R109 |
Tutorial 8: Synthetic Data Generation for Enterprise DBMS Aamantran |
Tea/Coffee Break
Basement, Ramanujan Building |
D&I Workshop: Data Science for Inclusivity Session # 2 Main Auditorium |
Tutorial 9: Unlocking the Potential of Unstructured Data in Business Documents Through Document Intelligence R109 |
Tutorial 10: Tutorial on Fair and Private Deep Learning Aamantran |
Conference Reception and Poster Session # 1
06:00 PM - 06:30 PM: Founding Sponsor Talk along with Tea/Coffee @ Aamantran 06:30 PM Onwards: Poster presentation @ Basement, Ramanujan Building 07:00 PM Onwards: Dinner @ Basement, Ramanujan Building |