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The geometry of integration in text classification RNNs
v1v2 (latest)

The geometry of integration in text classification RNNs

International Conference on Learning Representations (ICLR), 2020
28 October 2020
Kyle Aitken
V. Ramasesh
Ankush Garg
Yuan Cao
David Sussillo
Niru Maheswaranathan
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "The geometry of integration in text classification RNNs"

5 / 5 papers shown
RNNs perform task computations by dynamically warping neural representations
RNNs perform task computations by dynamically warping neural representations
Arthur Pellegrino
Angus Chadwick
44
1
0
03 Dec 2025
Trainability, Expressivity and Interpretability in Gated Neural ODEs
Trainability, Expressivity and Interpretability in Gated Neural ODEsInternational Conference on Machine Learning (ICML), 2023
T. Kim
T. Can
K. Krishnamurthy
AI4CE
321
6
0
12 Jul 2023
From Data-Fitting to Discovery: Interpreting the Neural Dynamics of
  Motor Control through Reinforcement Learning
From Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning
Eugene R. Rush
Kaushik Jayaram
J. Humbert
152
2
0
18 May 2023
Understanding How Encoder-Decoder Architectures Attend
Understanding How Encoder-Decoder Architectures AttendNeural Information Processing Systems (NeurIPS), 2021
Kyle Aitken
V. Ramasesh
Yuan Cao
Niru Maheswaranathan
177
27
0
28 Oct 2021
Auxiliary Tasks and Exploration Enable ObjectNav
Auxiliary Tasks and Exploration Enable ObjectNavIEEE International Conference on Computer Vision (ICCV), 2021
Joel Ye
Dhruv Batra
Abhishek Das
Erik Wijmans
356
121
0
08 Apr 2021
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