Convergent Learning: Do different neural networks learn the same representations?

24 November 2015

Jeff Clune

Papers citing "Convergent Learning: Do different neural networks learn the same representations?"

50 / 100 papers shown

Title
Forward Compatible Training for Large-Scale Embedding Retrieval Systems Vivek Ramanujan Pavan Kumar Anasosalu Vasu Ali Farhadi Oncel Tuzel Hadi Pouransari VLM 32 16 0 06 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 43 457 0 24 Nov 2021
Efficient Decompositional Rule Extraction for Deep Neural Networks Mateo Espinosa Zarlenga Z. Shams M. Jamnik 16 16 0 24 Nov 2021
CoReS: Compatible Representations via Stationarity Niccoló Biondi F. Pernici Matteo Bruni A. Bimbo OOD 29 9 0 15 Nov 2021
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks Dang Nguyen T. Nguyen Khai Nguyen D.Q. Phung Hung Bui Nhat Ho MoMe 24 9 0 29 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schurholt Dimche Kostadinov Damian Borth SSL 41 14 0 28 Oct 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 49 107 0 14 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics Iuliia Pliushch Martin Mundt Nicolas Lupp Visvanathan Ramesh 11 12 0 19 May 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 32 32 0 02 Mar 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 31 57 0 25 Feb 2021
Role Taxonomy of Units in Deep Neural Networks Yang Zhao Hao Zhang Xiuyuan Hu 18 1 0 02 Nov 2020
Visualizing Classification Structure of Large-Scale Classifiers B. Alsallakh Zhixin Yan Shabnam Ghaffarzadegan Zeng Dai Liu Ren FAtt 20 1 0 12 Jul 2020
An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks Konstantin Schurholt Damian Borth 32 3 0 18 Jun 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J Liang Lawrence Carin Yiran Chen AAML 30 84 0 27 Apr 2020
Towards Backward-Compatible Representation Learning Yantao Shen Yuanjun Xiong W. Xia Stefano Soatto 39 79 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 45 120 0 26 Mar 2020
Analyzing Visual Representations in Embodied Navigation Tasks Erik Wijmans Julian Straub Dhruv Batra Irfan Essa Judy Hoffman Ari S. Morcos 19 2 0 12 Mar 2020
Untangling in Invariant Speech Recognition Cory Stephenson J. Feather Suchismita Padhy Oguz H. Elibol Hanlin Tang Josh H. McDermott SueYeon Chung SSL 30 30 0 03 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 17 53 0 13 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 32 225 0 12 Oct 2019
Modelling the influence of data structure on learning in neural networks: the hidden manifold model Sebastian Goldt M. Mézard Florent Krzakala Lenka Zdeborová BDL 29 51 0 25 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 196 640 0 19 Sep 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 19 78 0 29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 22 56 0 26 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 82 1,362 0 01 May 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 19 160 0 18 Apr 2019
Defining Image Memorability using the Visual Memory Schema Erdem Akagündüz A. Bors K. Evans 17 28 0 05 Mar 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 30 975 0 14 Feb 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang Kun Xu Chao Du Ning Chen Jun Zhu AAML 41 434 0 25 Jan 2019
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing X. Tu Jian-jun Zhao M. Xie Guodong Du Hengsheng Zhang Jianshu Li Zejun Ma Jiashi Feng CVBM OOD 19 89 0 17 Jan 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 43 130 0 11 Dec 2018
Shared Representational Geometry Across Neural Networks Qihong Lu Po-Hsuan Chen Jonathan W. Pillow Peter J. Ramadge K. A. Norman Uri Hasson OOD 24 11 0 28 Nov 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 35 57 0 18 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson 27 6 0 12 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine Translation A. Bau Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass MILM 21 180 0 03 Nov 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 25 110 0 31 Oct 2018
Neural Networks Trained to Solve Differential Equations Learn General Representations M. Magill F. Qureshi H. W. Haan 16 64 0 29 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 32 434 0 14 Jun 2018
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 59 115 0 07 Jun 2018
A Neurobiological Evaluation Metric for Neural Network Model Search Nathaniel Blanchard Jeffery Kinnison Brandon RichardWebster P. Bashivan Walter J. Scheirer 37 12 0 28 May 2018
Understanding the Loss Surface of Neural Networks for Binary Classification Shiyu Liang Ruoyu Sun Yixuan Li R. Srikant 35 87 0 19 Feb 2018
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 29 323 0 15 Nov 2017
Shake-Shake regularization Xavier Gastaldi 3DPC BDL OOD 36 380 0 21 May 2017
Human perception in computer vision Ron Dekel OOD 29 9 0 17 Jan 2017
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała A. Alishahi 27 162 0 29 Feb 2016