Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

35 / 835 papers shown

Title
Self-Supervised Dynamic Networks for Covariate Shift Robustness Tomer Cohen Noy Shulman Hai Morgenstern Roey Mechrez Erez Farhan OOD 19 4 0 06 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 24 242 0 01 Jun 2020
Similarity Analysis of Contextual Word Representation Models John M. Wu Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 51 73 0 03 May 2020
Do Neural Language Models Show Preferences for Syntactic Formalisms? Artur Kulmizev Vinit Ravishankar Mostafa Abdou Joakim Nivre MILM 14 43 0 29 Apr 2020
Towards Reusable Network Components by Learning Compatible Representations Michael Gygli J. Uijlings V. Ferrari 14 1 0 08 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 28 2 0 07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 30 22 0 02 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Similarity of Neural Networks with Gradients Shuai Tang Wesley J. Maddox Charlie Dickens Tom Diethe Andreas C. Damianou 19 25 0 25 Mar 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 19 14 0 18 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge Xu Cheng Zhefan Rao Yilan Chen Quanshi Zhang 10 119 0 07 Mar 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 11 218 0 27 Feb 2020
Sampling for Deep Learning Model Diagnosis (Technical Report) Parmita Mehta S. Portillo Magdalena Balazinska Andrew J. Connolly LM&MA MLAU 11 2 0 22 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 34 75 0 17 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 423 0 20 Jan 2020
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis J. Thompson Yoshua Bengio Marc Schoenwiesner 11 14 0 04 Dec 2019
The intriguing role of module criticality in the generalization of deep networks Niladri S. Chatterji Behnam Neyshabur Hanie Sedghi 22 51 0 02 Dec 2019
Probing the State of the Art: A Critical Look at Visual Representation Evaluation Cinjon Resnick Zeping Zhan Joan Bruna AI4TS 12 12 0 30 Nov 2019
Reducing the Human Effort in Developing PET-CT Registration T. O'Briain Kyong Hwan Jin Hongyoon Choi Erika Chin M. Bazalova-Carter K. M. Yi 21 0 0 25 Nov 2019
Facial Landmark Correlation Analysis Yongzhe Yan S. Duffner P. Phutane Anthony Berthelier C. Blanc Christophe Garcia T. Chateau CVBM 16 1 0 24 Nov 2019
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing Wen Shen Zhihua Wei Shikun Huang Binbin Zhang Panyue Chen Ping Zhao Quanshi Zhang 3DPC 19 1 0 20 Nov 2019
Learning From Brains How to Regularize Machines Zhe Li Wieland Brendel Edgar Y. Walker Erick Cobos Taliah Muhammad Jacob Reimer Matthias Bethge Fabian H. Sinz Xaq Pitkow A. Tolias OOD AAML 21 62 0 11 Nov 2019
Correlations between Word Vector Sets V. Zhelezniak April Shen Dan Busbridge Aleksandar Savkov Nils Y. Hammerla 16 9 0 07 Oct 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 303 274 0 07 Oct 2019
Pretraining boosts out-of-domain robustness for pose estimation Alexander Mathis Thomas Biasi Steffen Schneider Mert Yüksekgönül Byron Rogers Matthias Bethge Mackenzie W. Mathis OOD 30 122 0 24 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders M. Inácio Rafael Izbicki Bálint Gyires-Tóth DRL 6 0 0 16 Sep 2019
Knowledge Consistency between Neural Networks and Beyond Ruofan Liang Tianlin Li Longfei Li Jingchao Wang Quanshi Zhang 9 29 0 05 Aug 2019
Universality and individuality in neural dynamics across large populations of recurrent networks Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 24 140 0 19 Jul 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 11 0 0 10 Jun 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 11 148 0 28 May 2019
The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras A. Bronstein Ivan Oseledets Emmanuel Müller 15 52 0 27 May 2019
An Empirical Study on Post-processing Methods for Word Embeddings Shuai Tang Mahta Mousavi V. D. Sa 12 6 0 27 May 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 30 972 0 14 Feb 2019
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016