Course:CPSC522/StudentPresentations2023
Please sign up for a date before the midterm break; 1 or 2 people per time. The papers are at https://www.cs.ubc.ca/~poole/cs522/2023/schedule.html. The presentation of the paper should be about 20-30 minutes (including questions).
- Jan 18: Nikhil Shenoy, Mayank Tiwary: Artificial Intelligence - The Revolution Hasn't Happened Yet, Mayank Tiwary: Human-level intelligence or animal-like abilities?
- Jan 25: Harshinee Sriram, Mehar Bhatia: On the dangers of stochastic parrots: Can language models be too big?
- Feb 1: Yilin Yang: Auto-Encoding Variational Bayes
- Feb 8: Matt Niedoba: Monte Carlo Localization
- Feb 15: Jeffrey Niu, Sarah Chen: Complex embeddings for simple link prediction
- March 1:
- March 8: Mehar Bhatia, Nikhil Shenoy: Modelling relational data with graph convolutional networks
- March 15: Anubhav Garg: Graph Attention Networks
- March 22: Sarah Chen, Yilin Yang: Learning overhypotheses with hierarchical Bayesian models.
- March 29th: Jeffrey Niu & Matt Niedoba: Bandit Based Monte-Carlo Planning
- April 5th: Harshinee Sriram, Mayank Tiwary: Silver, D., et al. [2017]. Mastering chess and shogi by self-play with a general reinforcement learning algorithm.