Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness

20 February 2023

Aitor Martínez

Papers citing "Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness"

31 / 31 papers shown

Title
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment Zhichao Lu Ran Cheng Yaochu Jin Kay Chen Tan Kalyanmoy Deb 34 55 0 08 Aug 2022
Open-environment Machine Learning Zhi Zhou VLM 56 134 0 01 Jun 2022
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks Javier Poyatos Daniel Molina Aritz D. Martinez Javier Del Ser Francisco Herrera 50 33 0 08 Feb 2022
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 47 193 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 241 902 0 21 Oct 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 48 92 0 27 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 41 114 0 30 Apr 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 205 703 0 31 Jan 2021
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework Maria G. Baldeon Calisto S. Lai-Yuen 36 1 0 09 Nov 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 159 1,332 0 08 Oct 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 61 26 0 09 Aug 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search Zhichao Lu Kalyanmoy Deb E. Goodman W. Banzhaf Vishnu Boddeti 47 145 0 20 Jul 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 51 225 0 06 Mar 2020
PlantDoc: A Dataset for Visual Plant Disease Detection D. Singh Naman Jain Pranjali Jain Pratik Kayal Sudhakar Kumawat Nipun Batra 25 408 0 23 Nov 2019
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 57 6,178 0 22 Oct 2019
CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang Yunhe Wang Xinghao Chen Boxin Shi Chao Xu Chunjing Xu Qi Tian Chang Xu 25 226 0 11 Sep 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 89 119 0 27 May 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 71 1,467 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 75 2,024 0 10 Jul 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 173 499 0 24 Apr 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 67 2,755 0 09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 115 3,009 0 05 Feb 2018
DENSER: Deep Evolutionary Network Structured Representation Filipe Assunção Nuno Lourenço Penousal Machado B. Ribeiro 41 106 0 04 Jan 2018
EDEN: Evolutionary Deep Networks for Efficient Machine Learning Emmanuel Dufourq Bruce A. Bassett 43 71 0 26 Sep 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 78 2,046 0 08 Jun 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju Hormoz Shahrzad Arshak Navruzyan Nigel P. Duffy Babak Hodjat 58 886 0 01 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 357 5,346 0 05 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 163 19,796 0 07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 82 3,420 0 07 Oct 2016
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 47 545 0 22 Jul 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 157 6,628 0 08 Jun 2015