Róbert Csordás
Title
Cited by
Cited by
Year
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
R Csordás, J Schmidhuber
International Conference on Learning Representations (ICLR), 2019
182019
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
R Csordás, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations (ICLR), 2021
92021
Method and apparatus for generating a displacement map of an input dataset pair
R Csordás, Á Kis-Benedek, B Szalkai
US Patent 10,380,753, 2019
62019
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
K Irie, I Schlag, R Csordás, J Schmidhuber
arXiv preprint arXiv:2106.06295, 2021
42021
Improved addressing in the differentiable neural computer
R Csordás, J Schmidhuber
NeurIPS 2018 Workshop on Relational Representation Learning, 2018
22018
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
R Csordás, K Irie, J Schmidhuber
EMNLP 2021, 2021
12021
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Articles 1–6