Improving neural networks by preventing co-adaptation of feature detectors

3 July 2012

Papers citing "Improving neural networks by preventing co-adaptation of feature detectors"

50 / 1,729 papers shown

Title
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization Raphael Baena Lucas Drumetz Vincent Gripon 55 3 0 07 Aug 2022
Detecting Algorithmically Generated Domains Using a GCNN-LSTM Hybrid Neural Network Ziyi Wang 37 0 0 06 Aug 2022
DropKey Bonan li Yinhan Hu Xuecheng Nie Congying Han Xiangjian Jiang Tiande Guo Luoqi Liu 46 12 0 04 Aug 2022
Post-Train Adaptive MobileNet for Fast Anti-Spoofing K. Khabarlak 44 3 0 27 Jul 2022
Convolutional neural networks and multi-threshold analysis for contamination detection in the apparel industry Marco Boresta T. Colombo A. D. Santis 14 0 0 26 Jul 2022
Implicit regularization of dropout Zhongwang Zhang Zhi-Qin John Xu 70 29 0 13 Jul 2022
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification Lin Wu Lingqiao Liu Yang Wang Zheng Zhang F. Boussaïd Bennamoun 84 24 0 09 Jul 2022
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives Bin Su Shaoguang Mao Frank Soong Zhiyong Wu 34 0 0 06 Jul 2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification Jaeik Jeon Yeonggul Jang Youngtaek Hong H. Shim Sekeun Kim 34 1 0 05 Jul 2022
PoF: Post-Training of Feature Extractor for Improving Generalization Ikuro Sato Ryota Yamada Masayuki Tanaka Nakamasa Inoue Rei Kawakami 37 4 0 05 Jul 2022
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets R. Turnbull 50 8 0 05 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 86 47 0 02 Jul 2022
Mixed Sample Augmentation for Online Distillation Yiqing Shen Liwu Xu Yuzhe Yang Yaqian Li Yandong Guo 40 3 0 24 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 46 0 0 15 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan O. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 49 2 0 13 Jun 2022
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens Elad Ben-Avraham Roei Herzig K. Mangalam Amir Bar Anna Rohrbach Leonid Karlinsky Trevor Darrell Amir Globerson 78 0 0 13 Jun 2022
Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI Fabrizia Auletta Rachel W. Kallen M. D. Bernardo Micheal J. Richardson 19 2 0 06 Jun 2022
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation Thomas Gonzalez Antoine Blais Nicolas P. Couellan Christian Ruiz 38 4 0 03 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 65 1 0 02 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 92 29 0 31 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 101 2 0 27 May 2022
TraClets: Harnessing the power of computer vision for trajectory classification Ioannis Kontopoulos Antonios Makris Konstantinos Tserpes V. Bogorny 42 3 0 27 May 2022
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment Xiao Chen Alex Morehead Jian Liu Jianlin Cheng 59 7 0 21 May 2022
SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer Wei Zhang Yun-Jian Bao ODL 119 2 0 20 May 2022
Neural Network Architecture Beyond Width and Depth Zuowei Shen Haizhao Yang Shijun Zhang 3DV MDE 111 13 0 19 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey Paul Wimmer Jens Mehnert Alexandru Paul Condurache DD 91 21 0 17 May 2022
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work Pritam Sarkar A. Posen Ali Etemad 84 11 0 13 May 2022
Quality versus speed in energy demand prediction for district heating systems W. Andrzejewski Jedrzej Potoniec M. Drozdowski J. Stefanowski R. Wrembel Pawel Stapf 13 0 0 10 May 2022
Robust Learning of Parsimonious Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 64 2 0 10 May 2022
Data-driven emotional body language generation for social robotics Mina Marmpena Fernando García Angelica Lim Nikolas J. Hemion T. Wennekers 21 2 0 02 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 77 7 0 01 May 2022
Dropout Inference with Non-Uniform Weight Scaling Zhaoyuan Yang Arpit Jain 8 0 0 27 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 112 0 0 22 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 45 53 0 21 Apr 2022
NAFSSR: Stereo Image Super-Resolution Using NAFNet Xiaojie Chu Liangyu Chen Wenqing Yu SupR 82 120 0 19 Apr 2022
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks Stefan Pócos Iveta Becková Igor Farkas AAML 31 2 0 12 Apr 2022
Improved Training of Physics-Informed Neural Networks with Model Ensembles Katsiaryna Haitsiukevich Alexander Ilin PINN 126 27 0 11 Apr 2022
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures Jarom D. Hogue Robert M. Kirby A. Narayan 61 0 0 08 Apr 2022
Controllable Missingness from Uncontrollable Missingness: Joint Learning Measurement Policy and Imputation Seongwook Yoon Jaehyung Kim Heejeong Lim S. Sull 13 0 0 08 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification Hyungtae Lee Sungmin Eum H. Kwon 41 22 0 07 Apr 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
Achieving Guidance in Applied Machine Learning through Software Engineering Techniques Lars Reimann Günter Kniesel-Wünsche 30 9 0 29 Mar 2022
Thin-Plate Spline Motion Model for Image Animation Jian Zhao Hui Zhang 88 195 0 27 Mar 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-Xiong Wang Deva Ramanan Shu Kong MQ 96 147 0 27 Mar 2022
Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem Amir Emad Marvasti Ehsan Emad Marvasti Ulas Bagci OOD 41 0 0 23 Mar 2022
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework Usha Lokala Aseem Srivastava T. Dastidar Tanmoy Chakraborty Md Shad Akthar M. Panahiazar Amit P. Sheth 25 20 0 22 Mar 2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition Aaron Reich Jiaao Chen Aastha Agrawal Yanzhe Zhang Diyi Yang AAML 65 5 0 21 Mar 2022
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block Changqin Xu Yi Liu Yintang Yang 40 7 0 18 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 81 11 0 11 Mar 2022
Look Backward and Forward: Self-Knowledge Distillation with Bidirectional Decoder for Neural Machine Translation Xuan Zhang Libin Shen Disheng Pan Liangguo Wang Yanjun Miao 35 1 0 10 Mar 2022