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2301.00314
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Causal Deep Learning
International Conference on Pattern Recognition (ICPR), 2023
1 January 2023
M. Alex O. Vasilescu
CML
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Papers citing
"Causal Deep Learning"
27 / 27 papers shown
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
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Yu Pan
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Xiangli Yang
Guangxi Li
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22 Jan 2023
A Generalized Hierarchical Nonnegative Tensor Decomposition
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Jamie Haddock
Deanna Needell
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A New Approach to Multilinear Dynamical Systems and Control
R. Hoover
Kyle A. Caudle
Karen S. Braman
131
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31 Aug 2021
Multiscale Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
481
1,503
0
22 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
IEEE International Conference on Computer Vision (ICCV), 2021
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
3.0K
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25 Mar 2021
CausalX: Causal Explanations and Block Multilinear Factor Analysis
International Conference on Pattern Recognition (ICPR), 2021
M. Alex O. Vasilescu
Eric Kim
Xiao-Song Zeng
CML
223
10
0
25 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
IEEE International Conference on Computer Vision (ICCV), 2021
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
916
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24 Feb 2021
A Fully Tensorized Recurrent Neural Network
Charles C. Onu
Jacob Miller
Doina Precup
MQ
244
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08 Oct 2020
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
SIAM Journal on Matrix Analysis and Applications (SIMAX), 2019
M. Iwen
Deanna Needell
E. Rebrova
A. Zare
177
27
0
17 Dec 2019
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors
M. Alex O. Vasilescu
E. Kim
CoGe
CVBM
209
12
0
11 Nov 2019
Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions
Jeffrey M. Dudek
L. Dueñas-Osorio
Moshe Y. Vardi
253
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0
12 Aug 2019
Incremental multi-domain learning with network latent tensor factorization
Adrian Bulat
Jean Kossaifi
Georgios Tzimiropoulos
Maja Pantic
CLL
206
35
0
12 Apr 2019
Troubling Trends in Machine Learning Scholarship
Queue (ACM Queue), 2018
Zachary Chase Lipton
Jacob Steinhardt
231
321
0
09 Jul 2018
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
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2,558
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23 Mar 2018
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
349
163
0
26 Jul 2017
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
301
513
0
10 Nov 2016
Tensor Ring Decomposition
Qibin Zhao
Guoxu Zhou
Shengli Xie
Liqing Zhang
A. Cichocki
236
419
0
17 Jun 2016
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
690
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0
10 Jun 2016
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen
Rajeev Ranjan
Swami Sankaranarayanan
Amit Kumar
Ching-Hui Chen
Vishal M. Patel
Carlos D. Castillo
Rama Chellappa
CVBM
299
102
0
09 May 2016
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
288
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20 Nov 2015
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
409
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22 Sep 2015
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
736
1,828
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09 Mar 2015
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl
Elias Bareinboim
214
363
0
05 Mar 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
International Conference on Learning Representations (ICLR), 2014
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
462
924
0
19 Dec 2014
Deep Learning in Neural Networks: An Overview
Neural Networks (NN), 2014
Jürgen Schmidhuber
HAI
576
17,113
0
30 Apr 2014
Compositional Dictionaries for Domain Adaptive Face Recognition
IEEE Transactions on Image Processing (TIP), 2013
Qiang Qiu
Rama Chellappa
CVBM
281
29
0
01 Aug 2013
Disentangling Factors of Variation via Generative Entangling
Guillaume Desjardins
Aaron Courville
Yoshua Bengio
CoGe
CML
DRL
239
106
0
19 Oct 2012
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