no code implementations • 20 Jun 2024 • Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Gunnemann
Machine learning models can solve complex tasks but often require significant computational resources during inference.
1 code implementation • 14 Feb 2024 • Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Gunnemann
We address this research gap and propose the embedding space attack, which directly attacks the continuous embedding representation of input tokens.
no code implementations • 11 Nov 2023 • Jianxiang Feng, JongSeok Lee, Simon Geisler, Stephan Gunnemann, Rudolph Triebel
To facilitate reliable deployments of autonomous robots in the real world, Out-of-Distribution (OOD) detection capabilities are often required.
no code implementations • 19 Nov 2015 • Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gunnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
To combine these 2 approaches, we formulate our Bayesian Inference for Rating Data (BIRD) model, a flexible Bayesian model of user rating behavior.