Artigos com autorizações de acesso público - Andreas KirschSaiba mais
6 artigos disponíveis publicamente
Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning
A Kirsch, J van Amersfoort, Y Gal
Advances in Neural Information Processing Systems (NeurIPS), 7024-7035, 2019
Autorizações: UK Engineering and Physical Sciences Research Council
Deep Deterministic Uncertainty: A New Simple Baseline
J Mukhoti, A Kirsch, J van Amersfoort, PHS Torr, Y Gal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Autorizações: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Prediction-Oriented Bayesian Active Learning
F Bickford Smith, A Kirsch, S Farquhar, Y Gal, A Foster, T Rainforth
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2023
Autorizações: UK Engineering and Physical Sciences Research Council
Causal-bald: Deep bayesian active learning of outcomes to infer treatment-effects from observational data
A Jesson, P Tigas, J van Amersfoort, A Kirsch, U Shalit, Y Gal
Advances in Neural Information Processing Systems (NeurIPS) 34, 30465-30478, 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Unpacking information bottlenecks: Unifying information-theoretic objectives in deep learning
A Kirsch, C Lyle, Y Gal
Workshop Uncertainty & Robustness in Deep Learning at Int. Conf. on Machine …, 2020
Autorizações: UK Engineering and Physical Sciences Research Council
Color-filter: Conditional loss reduction filtering for targeted language model pre-training
D Brandfonbrener, H Zhang, A Kirsch, JR Schwarz, S Kakade
Advances in Neural Information Processing Systems 37, 97618-97649, 2024
Autorizações: Chan Zuckerberg Initiative
As informações de publicação e financiamento são determinadas automaticamente por um programa de computador