Yannic Kilcher
Yannic Kilcher
PhD Student, ETH Zurich
Verified email at inf.ethz.ch
Title
Cited by
Cited by
Year
Audio based bird species identification using deep learning techniques
E Sprengel, M Jaggi, Y Kilcher, T Hofmann
LifeCLEF 2016, 547-559, 2016
962016
The odds are odd: A statistical test for detecting adversarial examples
K Roth, Y Kilcher, T Hofmann
International Conference on Machine Learning, 5498-5507, 2019
862019
Semantic interpolation in implicit models
Y Kilcher, A Lucchi, T Hofmann
arXiv preprint arXiv:1710.11381, 2017
162017
Scalable adaptive stochastic optimization using random projections
G Krummenacher, B McWilliams, Y Kilcher, JM Buhmann, N Meinshausen
arXiv preprint arXiv:1611.06652, 2016
162016
Adversarial training is a form of data-dependent operator norm regularization
K Roth, Y Kilcher, T Hofmann
arXiv preprint arXiv:1906.01527, 2019
92019
How does BERT capture semantics? A closer look at polysemous words
D Yenicelik, F Schmidt, Y Kilcher
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020
52020
Adversarial training generalizes data-dependent spectral norm regularization
K Roth, Y Kilcher, T Hofmann
42019
The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels
Y Kilcher, T Hofmann
arXiv preprint arXiv:1711.05475, 2017
22017
Generative Minimization Networks: Training GANs Without Competition
P Grnarova, Y Kilcher, KY Levy, A Lucchi, T Hofmann
arXiv preprint arXiv:2103.12685, 2021
12021
Meta answering for machine reading
B Borschinger, J Boyd-Graber, C Buck, J Bulian, M Ciaramita, ...
arXiv preprint arXiv:1911.04156, 2019
12019
Flexible Prior Distributions for Deep Generative Models
Y Kilcher, A Lucchi, T Hofmann
arXiv preprint arXiv:1710.11383, 2017
12017
Parametrizing filters of a CNN with a GAN
Y Kilcher, G Becigneul, T Hofmann
arXiv preprint arXiv:1710.11386, 2017
12017
Generator Reversal
Y Kilcher, A Lucchi, T Hofmann
arXiv preprint arXiv:1707.09241, 2017
12017
Boosting Search Engines with Interactive Agents
L Adolphs, B Boerschinger, C Buck, MC Huebscher, M Ciaramita, ...
arXiv preprint arXiv:2109.00527, 2021
2021
Navigating the Latent Spaces of Deep Neural Networks using Adversarial Techniques
Y Kilcher
ETH Zurich, 2021
2021
Machine-learning Based Automatic Formulation of Query Sequences to Improve Search
M Ciaramita, MC Huebscher, B Boerschinger, Y Kilcher
2021
Escaping Flat Areas via Function-Preserving Structural Network Modifications
Y Kilcher, G Bécigneul, T Hofmann
2018
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Articles 1–17