Risks from Learned Optimization in Advanced Machine Learning Systems

5 June 2019

Papers citing "Risks from Learned Optimization in Advanced Machine Learning Systems"

9 / 109 papers shown

Title
Achilles Heels for AGI/ASI via Decision Theoretic Adversaries Stephen L. Casper 14 4 0 12 Oct 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 33 62 0 23 Sep 2020
On Controllability of AI Roman V. Yampolskiy 8 14 0 19 Jul 2020
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity Adrien Ecoffet Jeff Clune Joel Lehman 21 16 0 12 Jun 2020
AI safety: state of the field through quantitative lens Mislav Juric A. Sandic Mario Brčič 23 24 0 12 Feb 2020
Embedded Agency A. Demski Scott Garrabrant AIFin 24 34 0 25 Feb 2019
AI safety via debate G. Irving Paul Christiano Dario Amodei 204 200 0 02 May 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,837 0 03 Feb 2017
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016