2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Temporal-Difference Learning Using Distributed Error Signals
Jonas Guan, Shon Eduard Verch, Claas Voelcker +3
A computational problem in biological reward-based learning is how credit assignment is performed in the nucleus accumbens (NAc). Much research suggests that NAc dopamine encodes t…
cs.LG2022★ 2 cited
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem +2
Self-Supervised Learning (SSL) is an increasingly popular ML paradigm that trains models to transform complex inputs into representations without relying on explicit labels. These…