Learning Sparse Networks Using Targeted Dropout

31 May 2019

Aidan Gomez

Ivan Zhang

Siddhartha Rao Kamalakara

Papers citing "Learning Sparse Networks Using Targeted Dropout"

22 / 22 papers shown

Title
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 102 0 0 13 Feb 2025
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration Haoxiao Wang Bo Peng Jianhua Zhang Xu Cheng AI4TS 39 1 0 28 Apr 2024
Learning Prescriptive ReLU Networks Wei-Ju Sun Asterios Tsiourvas 21 2 0 01 Jun 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Gyuseung Baek Yongdai Kim BDL 34 4 0 24 May 2023
Dropout Reduces Underfitting Zhuang Liu Zhi-Qin John Xu Joseph Jin Zhiqiang Shen Trevor Darrell 45 36 0 02 Mar 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 172 151 0 20 Sep 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Mengdi Zhang Yiqun Liu Shaoping Ma Yue Yang 37 9 0 05 Apr 2022
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 151 0 18 Nov 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 48 19 0 28 Aug 2021
Differentiable Subset Pruning of Transformer Heads Jiaoda Li Ryan Cotterell Mrinmaya Sachan 45 53 0 10 Aug 2021
Boosting Co-teaching with Compression Regularization for Label Noise Yingyi Chen Xin Shen S. Hu Johan A. K. Suykens NoLa 45 45 0 28 Apr 2021
Consistent Sparse Deep Learning: Theory and Computation Y. Sun Qifan Song F. Liang BDL 45 27 0 25 Feb 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna Attilio Fiandrotti Marco Grangetto 43 18 0 07 Feb 2021
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks Enzo Tartaglione Andrea Bragagnolo Attilio Fiandrotti Marco Grangetto ODL UQCV 20 34 0 16 Nov 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 28 3 0 23 Sep 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions Alex Labach S. Valaee 9 5 0 08 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
A multimodal deep learning approach for named entity recognition from social media M. Asgari-Chenaghlu M. Feizi-Derakhshi Leili Farzinvash M. Balafar C. Motamed 19 28 0 19 Jan 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang Yunhe Wang Xinghao Chen Boxin Shi Chao Xu Chunjing Xu Qi Tian Chang Xu 15 223 0 11 Sep 2019
Relational Reasoning Network (RRN) for Anatomical Landmarking N. Torosdagli Syed Muhammad Anwar P. Verma D. Liberton Janice S. Lee Wade W. Han Ulas Bagci 33 3 0 08 Apr 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012