Self-Rewarding Language Models
Authors: Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston | Published: 2024-01-18 | Updated: 2024-02-08
Deep Learning
A General Theoretical Paradigm to Understand Learning from Human Preferences
Authors: Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, Daniel Guo, Daniele Calandriello, Michal Valko, Rémi Munos | Published: 2023-10-18 | Updated: 2023-11-22
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Authors: Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt | Published: 2022-08-10 | Updated: 2023-02-01
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
Authors: Mayra Macas, Chunming Wu | Published: 2020-12-04
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
Authors: Matthew L. Leavitt, Ari Morcos | Published: 2020-10-14 | Updated: 2021-03-29
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Authors: Amina Mollaysa, Brooks Paige, Alexandros Kalousis | Published: 2020-10-05 | Updated: 2020-10-23
Lipschitz Bounded Equilibrium Networks
Authors: Max Revay, Ruigang Wang, Ian R. Manchester | Published: 2020-10-05
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
Authors: Shiva Navabi, Osonde A. Osoba | Published: 2020-10-04 | Updated: 2020-10-13
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Authors: Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao | Published: 2020-09-28 | Updated: 2021-06-02
Beneficial Perturbations Network for Defending Adversarial Examples
Authors: Shixian Wen, Amanda Rios, Laurent Itti | Published: 2020-09-27 | Updated: 2021-09-13