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2305.17303
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Distilling BlackBox to Interpretable models for Efficient Transfer Learning
26 May 2023
Shantanu Ghosh
K. Yu
Kayhan Batmanghelich
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Papers citing
"Distilling BlackBox to Interpretable models for Efficient Transfer Learning"
5 / 5 papers shown
Title
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
X. Li
61
9
0
03 Jan 2025
Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh
Tiankang Xie
Mikhail Kuznetsov
OOD
16
0
0
11 Oct 2024
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
...
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
63
52
0
19 Sep 2022
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
130
182
0
31 May 2022
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
1