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Fraternal Dropout

31 October 2017

Papers citing "Fraternal Dropout"

32 / 32 papers shown

Title
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders Luke Marks Alasdair Paren David M. Krueger Fazl Barez AAML 62 7 0 02 Nov 2024
Layer-wise Regularized Dropout for Neural Language Models Shiwen Ni Min Yang Ruifeng Xu Chengming Li Xiping Hu 49 0 0 26 Feb 2024
CR-SFP: Learning Consistent Representation for Soft Filter Pruning Jingyang Xiang Zhuangzhi Chen Jianbiao Mei Siqi Li Jun Chen Yong-Jin Liu 66 0 0 17 Dec 2023
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts Sourav Prosad Viswa Datha Polavarapu Shrutendra Harsola 47 0 0 25 Aug 2023
R-Block: Regularized Block of Dropout for convolutional networks Liqi Wang Qiyang Hu 38 0 0 27 Jul 2023
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding Yunchang Zhu Liang Pang Kangxi Wu Yanyan Lan Huawei Shen Xueqi Cheng AAML ELM 57 2 0 10 Jan 2023
Generative Adversarial Training Can Improve Neural Language Models Sajad Movahedi A. Shakery GAN AI4CE 77 2 0 02 Nov 2022
Information Geometry of Dropout Training Masanari Kimura H. Hino 46 2 0 22 Jun 2022
Augmentation-induced Consistency Regularization for Classification Jianguo Wu Shijing Si Jianzong Wang Jing Xiao 69 2 0 25 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 88 11 0 05 Apr 2022
Dependency-based Mixture Language Models Zhixian Yang Xiaojun Wan 95 2 0 19 Mar 2022
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization Alban Petit Caio Corro DRL 94 3 0 28 Oct 2021
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen Hao Fei Tie-Yan Liu 90 439 0 28 Jun 2021
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification Rui Hou Bingpeng Ma Hong Chang Xinqian Gu Shiguang Shan Xilin Chen CVBM 112 49 0 02 Sep 2020
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach Wenyu Du Zhouhan Lin Songlin Yang Timothy J. O'Donnell Yoshua Bengio Yue Zhang 65 13 0 12 May 2020
Regularizing Neural Networks by Stochastically Training Layer Ensembles Alex Labach S. Valaee FedML 20 2 0 21 Nov 2019
Not Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor Boaz Carmeli Esther Goldbraich Amir Kantor George Kour Segev Shlomov N. Tepper Naama Zwerdling 100 371 0 08 Nov 2019
On the Regularization Properties of Structured Dropout Ambar Pal Connor Lane René Vidal B. Haeffele 134 14 0 30 Oct 2019
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes Noémien Kocher Christian Scuito Lorenzo Tarantino Alexandros Lazaridis Andreas Fischer C. Musat 37 0 0 18 Sep 2019
Character n-gram Embeddings to Improve RNN Language Models Sho Takase Jun Suzuki Masaaki Nagata 61 25 0 13 Jun 2019
Bivariate Beta-LSTM Kyungwoo Song Joonho Jang Seung-Jae Shin Il-Chul Moon 45 6 0 25 May 2019
Gmail Smart Compose: Real-Time Assisted Writing Mengzhao Chen Benjamin Lee G. Bansal Yuan Cao Shuyuan Zhang ... Yinan Wang Andrew M. Dai Zhiwen Chen Timothy Sohn Yonghui Wu 76 208 0 17 May 2019
Think Again Networks and the Delta Loss Alexandre Salle Marcelo O. R. Prates 35 2 0 26 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 80 150 0 25 Apr 2019
Adversarial Dropout for Recurrent Neural Networks Sungrae Park Kyungwoo Song Mingi Ji Wonsung Lee Il-Chul Moon 32 6 0 22 Apr 2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities O. Ganea Sylvain Gelly Gary Bécigneul Aliaksei Severyn 72 18 0 21 Feb 2019
Co-regularized Alignment for Unsupervised Domain Adaptation Abhishek Kumar P. Sattigeri Kahini Wadhawan Leonid Karlinsky Rogerio Feris William T. Freeman G. Wornell OOD 66 158 0 13 Nov 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 90 91 0 16 Oct 2018
Dropout as a Structured Shrinkage Prior Eric T. Nalisnick José Miguel Hernández-Lobato Padhraic Smyth BDL UQCV 33 1 0 09 Oct 2018
Direct Output Connection for a High-Rank Language Model Sho Takase Jun Suzuki Masaaki Nagata 99 36 0 30 Aug 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 104 117 0 21 Jul 2018
Pushing the bounds of dropout Gábor Melis Charles Blundell Tomás Kociský Karl Moritz Hermann Chris Dyer Phil Blunsom 51 13 0 23 May 2018