Regularization for Deep Learning: A Taxonomy

29 October 2017

Papers citing "Regularization for Deep Learning: A Taxonomy"

50 / 52 papers shown

Title
Representation Engineering for Large-Language Models: Survey and Research Challenges Lukasz Bartoszcze Sarthak Munshi Bryan Sukidi Jennifer Yen Zejia Yang David Williams-King Linh Le Kosi Asuzu Carsten Maple 102 0 0 24 Feb 2025
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 68 1 0 11 Sep 2024
On the choice of the non-trainable internal weights in random feature maps Pinak Mandal Georg Gottwald Nicholas Cranch TPM 40 1 0 07 Aug 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 43 8 0 02 May 2024
Derivative-based regularization for regression Enrico Lopedoto Maksim Shekhunov Vitaly Aksenov K. Salako Tillman Weyde 31 0 0 01 May 2024
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 57 1 0 14 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 44 29 0 30 Jan 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows Line C. Pouchard Kristofer G. Reyes Francis J. Alexander Byung-Jun Yoon 29 2 0 13 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 29 7 0 03 Jan 2023
Human-in-the-Loop Hate Speech Classification in a Multilingual Context Ana Kotarcic Dominik Hangartner Fabrizio Gilardi Selina Kurer K. Donnay 24 2 0 05 Dec 2022
Noise Injection Node Regularization for Robust Learning N. Levi I. Bloch M. Freytsis T. Volansky AI4CE 32 2 0 27 Oct 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 28 4 0 21 Oct 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID Hong Yang Travis J. Desell AI4TS 21 1 0 13 Oct 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 30 0 0 09 Jun 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 25 140 0 27 Mar 2022
On Neural Network Equivalence Checking using SMT Solvers Charis Eleftheriadis Nikolaos Kekatos Panagiotis Katsaros S. Tripakis AAML 24 12 0 22 Mar 2022
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey Alzayat Saleh M. Sheaves M. R. Azghadi 34 71 0 14 Mar 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 42 43 0 23 Jan 2022
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping Xuran Meng Jianfeng Yao 27 7 0 26 Nov 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Logic Explained Networks Gabriele Ciravegna Pietro Barbiero Francesco Giannini Marco Gori Pietro Lio Marco Maggini S. Melacci 37 69 0 11 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 35 127 0 21 Jul 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 23 61 0 21 Jul 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 25 75 0 22 Jun 2021
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation Joao Lourencco Silva M. Menezes T. Rodrigues B. Silva F. Pinto Arlindo L. Oliveira MedIm 31 17 0 21 Jun 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj MLT 36 6 0 10 Jun 2021
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation Zhiyong Wu Lingpeng Kong W. Bi Xiang Li B. Kao LRM 23 77 0 30 May 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 44 15 0 27 Mar 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models Daniel Willemsen M. Coppola Guido de Croon 21 30 0 05 Mar 2021
Environment Transfer for Distributed Systems Chunheng Jiang Jae-wook Ahn N. Desai 28 1 0 06 Jan 2021
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
A ReLU Dense Layer to Improve the Performance of Neural Networks Alireza M. Javid Sandipan Das Mikael Skoglund S. Chatterjee 26 32 0 22 Oct 2020
Multi-Window Data Augmentation Approach for Speech Emotion Recognition Sarala Padi Tianyi Zhou Ram D.Sriram 35 10 0 19 Oct 2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics Li Li Stephan Hoyer Ryan Pederson Ruoxi Sun E. D. Cubuk Patrick F. Riley K. Burke AI4CE 35 120 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Manifold attack K. Tran Fred-Maurice Ngole-Mboula Jean-Luc Starck AAML OOD 21 0 0 13 Sep 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 24 12 0 06 Apr 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 27 403 0 06 Nov 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 36 327 0 28 Jul 2019
Post-synaptic potential regularization has potential Enzo Tartaglione Daniele Perlo Marco Grangetto BDL AAML 27 6 0 19 Jul 2019
Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks Jonas Rothfuss Fabio Ferreira Simon Walther Maxim Ulrich TPM 26 73 0 03 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 24 295 0 28 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 19 43 0 27 Feb 2019
Traditional and Heavy-Tailed Self Regularization in Neural Network Models Charles H. Martin Michael W. Mahoney 21 120 0 24 Jan 2019
Deep Learning for Human Affect Recognition: Insights and New Developments Philipp V. Rouast M. Adam R. Chiong 35 167 0 09 Jan 2019
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization Vishal Keshav L. TejpratapG.V.S. 20 3 0 18 Oct 2018
An ETF view of Dropout regularization Dor Bank Raja Giryes 8 4 0 14 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 44 191 0 02 Oct 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018