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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

Title
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Xinjian Zhao Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 557 35 0 22 Jan 2023
A Generalized Hierarchical Nonnegative Tensor Decomposition Joshua Vendrow Jamie Haddock Deanna Needell 177 4 0 30 Sep 2021
A New Approach to Multilinear Dynamical Systems and Control R. Hoover Kyle A. Caudle Karen S. Braman 106 5 0 31 Aug 2021
Multiscale Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021 Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 431 1,487 0 22 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE International Conference on Computer Vision (ICCV), 2021 Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 1.8K 27,905 0 25 Mar 2021
CausalX: Causal Explanations and Block Multilinear Factor AnalysisInternational Conference on Pattern Recognition (ICPR), 2021 M. Alex O. Vasilescu Eric Kim Xiao-Song Zeng CML 212 10 0 25 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without ConvolutionsIEEE 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 834 4,495 0 24 Feb 2021
A Fully Tensorized Recurrent Neural Network Charles C. Onu Jacob Miller Doina Precup MQ 229 7 0 08 Oct 2020
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least SquaresSIAM Journal on Matrix Analysis and Applications (SIMAX), 2019 M. Iwen Deanna Needell E. Rebrova A. Zare 171 27 0 17 Dec 2019
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors M. Alex O. Vasilescu E. Kim CoGe CVBM 183 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 251 23 0 12 Aug 2019
Incremental multi-domain learning with network latent tensor factorization Adrian Bulat Jean Kossaifi Georgios Tzimiropoulos Maja Pantic CLL 174 35 0 12 Apr 2019
Troubling Trends in Machine Learning ScholarshipQueue (ACM Queue), 2018 Zachary Chase Lipton Jacob Steinhardt 208 318 0 09 Jul 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 883 2,524 0 23 Mar 2018
Tensor Regression Networks Jean Kossaifi Zachary Chase Lipton Arinbjorn Kolbeinsson Aran Khanna Tommaso Furlanello Anima Anandkumar 3DV 331 163 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 285 513 0 10 Nov 2016
Tensor Ring Decomposition Qibin Zhao Guoxu Zhou Shengli Xie Liqing Zhang A. Cichocki 216 414 0 17 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 664 4,049 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 268 101 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 280 925 0 20 Nov 2015
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 370 938 0 22 Sep 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 693 1,817 0 09 Mar 2015
External Validity: From Do-Calculus to Transportability Across Populations Judea Pearl Elias Bareinboim 193 360 0 05 Mar 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-DecompositionInternational Conference on Learning Representations (ICLR), 2014 V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 439 917 0 19 Dec 2014
Deep Learning in Neural Networks: An OverviewNeural Networks (NN), 2014 Jürgen Schmidhuber HAI 502 17,060 0 30 Apr 2014
Compositional Dictionaries for Domain Adaptive Face RecognitionIEEE Transactions on Image Processing (TIP), 2013 Qiang Qiu Rama Chellappa CVBM 247 29 0 01 Aug 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 218 106 0 19 Oct 2012