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Analyzing machine-learned representations: A natural language case study

Analyzing machine-learned representations: A natural language case study

12 September 2019
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
    NAI
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Papers citing "Analyzing machine-learned representations: A natural language case study"

4 / 4 papers shown
Title
Probing BERT's priors with serial reproduction chains
Probing BERT's priors with serial reproduction chains
Takateru Yamakoshi
Thomas Griffiths
Robert D. Hawkins
29
12
0
24 Feb 2022
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
192
576
0
02 May 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
889
0
11 Nov 2017
1