Regularizing Neural Networks by Penalizing Confident Output Distributions

23 January 2017

Papers citing "Regularizing Neural Networks by Penalizing Confident Output Distributions"

50 / 640 papers shown

Title
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 18 4 0 08 Oct 2020
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning Rumeysa Bodur Binod Bhattarai Tae-Kyun Kim 3DH GAN 22 6 0 30 Sep 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 31 43 0 27 Sep 2020
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation Yinglin Duan Tianyang Shi Zhengxia Zou Jia Qin Yifei Zhao Yi Yuan Jie Hou Xiang Wen Chang Lab 11 4 0 27 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 35 30 0 20 Sep 2020
Introspective Learning by Distilling Knowledge from Online Self-explanation Jindong Gu Zhiliang Wu Volker Tresp 22 3 0 19 Sep 2020
Label Smoothing and Adversarial Robustness Chaohao Fu Hongbin Chen Na Ruan Weijia Jia AAML 16 12 0 17 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 35 9 0 14 Sep 2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation Jiyue Wang Pei Zhang Wenjie Pang Jie Li 14 0 0 11 Sep 2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G. Liang Yu Zhang Xiaoqin Wang Nathan Jacobs UQCV 28 60 0 09 Sep 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback Zifeng Wang Xi Chen Rui Wen Shao-Lun Huang E. Kuruoglu Yefeng Zheng BDL CML OffRL 14 81 0 06 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 24 0 0 04 Sep 2020
Imbalanced Image Classification with Complement Cross Entropy Yechan Kim Younkwan Lee M. Jeon 26 63 0 04 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Webly Supervised Image Classification with Self-Contained Confidence Jingkang Yang Xue Jiang Weirong Chen Xiaopeng Yan Huabin Zheng Ping Luo Wayne Zhang 28 15 0 27 Aug 2020
LowFER: Low-rank Bilinear Pooling for Link Prediction Saadullah Amin Stalin Varanasi K. Dunfield G. Neumann 22 40 0 25 Aug 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 50 103 0 24 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 22 9 0 16 Aug 2020
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 Tobias Domhan Michael J. Denkowski David Vilar Xing Niu Felix Hieber Kenneth Heafield 16 52 0 11 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 39 21 0 04 Aug 2020
Class-Incremental Domain Adaptation Jogendra Nath Kundu R. Venkatesh Naveen Venkat Ambareesh Revanur R. Venkatesh Babu CLL 6 51 0 04 Aug 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization Yu-Ting Chang Qiaosong Wang Wei-Chih Hung Robinson Piramuthu Yi-Hsuan Tsai Ming-Hsuan Yang UQCV WSOL 24 34 0 03 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
Bayesian Deep Ensembles via the Neural Tangent Kernel Bobby He Balaji Lakshminarayanan Yee Whye Teh BDL UQCV 14 117 0 11 Jul 2020
Maximum Entropy Regularization and Chinese Text Recognition Changxu Cheng Wuheng Xu X. Bai Bin Feng Wenyu Liu 22 4 0 09 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 16 5 0 30 Jun 2020
Alpha-Net: Architecture, Models, and Applications Jishan Shaikh Adya Sharma Ankit Chouhan Avinash Mahawar OOD 18 0 0 27 Jun 2020
AReLU: Attention-based Rectified Linear Unit Dengsheng Chen Jun Li Kai Xu 38 20 0 24 Jun 2020
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma Hanxun Huang Yisen Wang Simone Romano S. Erfani James Bailey NoLa 9 432 0 24 Jun 2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel William H. Beluch Binh Yang Michael Pfeiffer Dan Zhang UQCV 24 34 0 23 Jun 2020
Calibration of Neural Networks using Splines Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Richard I. Hartley 28 106 0 23 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 21 40 0 20 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 35 110 0 15 Jun 2020
The Limit of the Batch Size Yang You Yuhui Wang Huan Zhang Zhao-jie Zhang J. Demmel Cho-Jui Hsieh 16 15 0 15 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 34 76 0 12 Jun 2020
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography P. Zang Liqin Gao T. Hormel Jie Wang Q. You T. Hwang Yali Jia 19 50 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 22 116 0 09 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 14 22 0 07 Jun 2020
Probabilistic Object Classification using CNN ML-MAP layers Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonçalves 22 4 0 29 May 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 31 163 0 25 May 2020
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition Bing Cao N. Wang Xinbo Gao Jie Li Zhifeng Li CVBM 26 14 0 25 May 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 60 0 07 May 2020
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing Clara Meister Elizabeth Salesky Ryan Cotterell UQCV 8 61 0 02 May 2020
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance Prasetya Ajie Utama N. Moosavi Iryna Gurevych OODD 20 124 0 01 May 2020
The Information Bottleneck Problem and Its Applications in Machine Learning Ziv Goldfeld Yury Polyanskiy 23 129 0 30 Apr 2020
Few-Shot Learning for Opinion Summarization Arthur Brazinskas Mirella Lapata Ivan Titov 13 2 0 30 Apr 2020
Robust Question Answering Through Sub-part Alignment Jifan Chen Greg Durrett OOD 27 13 0 30 Apr 2020
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings António Góis Kyunghyun Cho André Martins 20 5 0 29 Apr 2020
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP M Saiful Bari Tasnim Mohiuddin Shafiq Joty 34 24 0 28 Apr 2020