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01.12.2021

Teaser image to MCML at NeurIPS 2021

 

MCML at NeurIPS 2021

35th Conference on Neural Information Processing Systems (NeurIPS 2021), December 6–14, 2021, Virtual

We are happy to announce that MCML researchers are represented with 7 papers at NeurIPS 2021:

M. Dahnert, J. Hou, M. Nießner and A. Dai.
Panoptic 3D Scene Reconstruction From a Single RGB Image.
URL. GitHub.
M. Mittermeier, M. Weigert and D. Rügamer.
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach. (Workshop paper).
PDF.
J. Moosbauer, J. Herbinger, G. Casalicchio, M. Lindauer and B. Bischl.
Explaining Hyperparameter Optimization via Partial Dependence Plots.
URL. GitHub.
T. Weber, M. Ingrisch, B. Bischl and D. Rügamer.
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation. (Workshop paper).
PDF.
T. Weber, M. Ingrisch, M. Fabritius, B. Bischl and D. Rügamer.
Survival-oriented embeddings for improving accessibility to complex data structures. (Workshop paper).
arXiv.
M. Weber, J. Xie, M. D. Collins, Y. Zhu, P. Voigtlaender, H. Adam, B. Green, A. Geiger, B. Leibe, D. Cremers, A. Osep, L. Leal-Taixé and L.-C. Chen.
STEP: Segmenting and Tracking Every Pixel.
PDF.
Y. Zhang, A. Khakzar, Y. Li, A. Farshad, S. T. Kim and N. Navab.
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
URL.

01.12.2021

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