04.12.2021

MCML at NeurIPS 2021

Seven Accepted Papers (2 Main, and 5 Workshops)

35th Conference on Neural Information Processing Systems, Virtual, Dec 06-14, 2021

We are happy to announce that MCML researchers have contributed a total of 7 papers to NeurIPS 2021: 2 Main, and 5 Workshop papers. Congrats to our researchers!

Main Track (2 papers)

J. Moosbauer • J. Herbinger • G. Casalicchio • M. Lindauer • B. Bischl
Explaining Hyperparameter Optimization via Partial Dependence Plots.
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL GitHub

Y. Zhang • A. Khakzar • Y. Li • A. Farshad • S. T. Kim • N. Navab
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL

Workshops (5 papers)

B. Bischl • G. Casalicchio • M. Feurer • P. Gijsbers • F. Hutter • M. Lang • R. G. Mantovani • J. N. van Rijn • J. Vanschoren
OpenML Benchmarking Suites.
Track on Datasets and Benchmarks @NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL

M. Mittermeier • M. Weigert • D. Rügamer
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach.
Tackling Climate Change with ML @NeurIPS 2021 - Workshop on Tackling Climate Change with Machine Learning at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.
Deep Generative Models and Downstream Applications @NeurIPS 2021 - Workshop on Deep Generative Models and Downstream Applications at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

T. Weber • M. Ingrisch • M. Fabritius • B. Bischl • D. Rügamer
Survival-oriented embeddings for improving accessibility to complex data structures.
Bridging the Gap: from ML Research to Clinical Practice @NeurIPS 2021 - Workshop on Bridging the Gap: from Machine Learning Research to Clinical Practice at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. arXiv

M. Weber • J. Xie • M. Collins • Y. Zhu • H. Adam • B. Green • A. Geiger • D. Cremers • A. Ošep • L. Leal-Taixé • P. Voigtlaender • B. Chen
STEP: Segmenting and Tracking Every Pixel.
Track on Datasets and Benchmarks @NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF