Post #30

Continuing this, a group of Le Song has 7 papers at ICLR, all accepts. This is top-2 result among all, with the first one Sergey Levine having 13 accepts. 1. HOPPITY: Learning Graph Transformations to Detect and Fix Bugs in Programs (https://openreview.net/forum?id=SJeqs6EFvB) 2. GLAD: Learning Sparse Graph Recovery (https://openreview.net/forum?id=BkxpMTEtPB) 3. Efficient Probabilistic Logic Reasoning with Graph Neural Networks (https://openreview.net/forum?id=rJg76kStwH) 4. Double Neural Counterfactual Regret Minimization (https://openreview.net/forum?id=ByedzkrKvH) 5. RNA Secondary Structure Prediction By Learning Unrolled Algorithms (https://openreview.net/forum?id=S1eALyrYDH) 6. Learn to Explain Efficiently via Neural Logic Inductive Learning (https://openreview.net/forum?id=SJlh8CEYDB) 7. Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees (https://openreview.net/forum?id=rJgJDAVKvB)