Clemens Rosenbaum
Clemens Rosenbaum
ASAPP Inc
Verified email at asapp.com - Homepage
Title
Cited by
Cited by
Year
Routing networks: Adaptive selection of non-linear functions for multi-task learning
C Rosenbaum, T Klinger, M Riemer
arXiv preprint arXiv:1711.01239, 2017
652017
Eigenoption discovery through the deep successor representation
MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell
arXiv preprint arXiv:1710.11089, 2017
462017
Routing networks and the challenges of modular and compositional computation
C Rosenbaum, I Cases, M Riemer, T Klinger
arXiv preprint arXiv:1904.12774, 2019
132019
Learning to query, reason, and answer questions on ambiguous texts
X Guo, T Klinger, C Rosenbaum, JP Bigus, M Campbell, B Kawas, ...
112016
Deep reinforcement learning with macro-actions
IP Durugkar, C Rosenbaum, S Dernbach, S Mahadevan
arXiv preprint arXiv:1606.04615, 2016
102016
Recursive routing networks: Learning to compose modules for language understanding
I Cases, C Rosenbaum, M Riemer, A Geiger, T Klinger, A Tamkin, O Li, ...
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
92019
On the role of weight sharing during deep option learning
M Riemer, I Cases, C Rosenbaum, M Liu, G Tesauro
arXiv preprint arXiv:1912.13408, 2019
32019
Dispatched routing networks
C Rosenbaum, I Cases, M Riemer, A Geiger, L Karttunen, JD Greene, ...
Technical Report Stanford AI Lab, NLP Group Tech Report 2019-1, Stanford …, 2019
12019
EFFICIENTLY LEARNING FROM HIGHLY-DIVERSE DATA SETS
T Klinger, MD Riemer, C Rosenbaum, B Zhou
US Patent App. 16/168,266, 2020
2020
Dynamic Composition of Functions for Modular Learning
CGB Rosenbaum
2020
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations
C Rosenbaum, T Gao, T Klinger
arXiv preprint arXiv:1708.01776, 2017
2017
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Articles 1–11