We’re reading research papers about various topics in machine learning and artificial intelligence. Meetings will be informal, reading-group style with one or two people assigned to lead a discussion about the readings.
We’re meeting on Thursdays at 5:00 PM during Spring Quarter.
| Week | Date | Time | Place | Paper |
|---|---|---|---|---|
| 1 | 4/11 | 5:00 PM | Gates 152 | Saxton et. al. “Analysing Mathematical Reasoning Abilities of Neural Models” (2019) |
| 2 | 4/18 | 5:00 PM | Gates 152 | Moryossef et. al. “Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation” (2019) |
| 3 | 4/25 | 5:00 PM | Gates 152 | Todorov “Linearly-solvable Markov decision problems” (2006) |
| 4 | 5/2 | 5:00 PM | Gates 152 | Frankle, Carbin “The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks” (2019) |
| 5 | 5/9 | 5:00 PM | Gates 152 | Wang et. al. “Learning Robust Representations by Projecting Superficial Statistics Out” (2019) |
| 6 | 5/16 | 5:00 PM | Gates 152 | Zhou et. al. “Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask” (2019) |
| 7 | 5/23 | 5:00 PM | Gates 152 | Sablayrolles et. al. “Spreading vectors for similarity search” (2019) |
| 8 | 5/30 | 5:00 PM | Gates 152 | McMahan et. al. “Communication-Efficient Learning of Deep Networks from Decentralized Data” (2017) |