Regularizing Neural Networks by Penalizing Confident Output Distributions

23 January 2017

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

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Title
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 19 3 0 26 Apr 2020
Lite Transformer with Long-Short Range Attention Zhanghao Wu Zhijian Liu Ji Lin Chengyue Wu Song Han 23 318 0 24 Apr 2020
Incorporating Multiple Cluster Centers for Multi-Label Learning Senlin Shu Fengmao Lv Jun Huang Li Li Shuo He Jun He 11 8 0 17 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 16 3 0 09 Apr 2020
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection Tiancheng Lin Yuanfan Guo Canqian Yang Jiancheng Yang Yi Tian Xu 21 8 0 09 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 38 473 0 08 Apr 2020
Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition Y. Zheng Xianjie Yang Xuyong Dang 11 5 0 07 Apr 2020
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy Yixuan Su Deng Cai Yan Wang Simon Baker Anna Korhonen Nigel Collier Xiaojiang Liu 21 9 0 05 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 16 39 0 01 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 276 0 31 Mar 2020
SuperNet -- An efficient method of neural networks ensembling Ludwik Bukowski W. Dzwinel 16 2 0 29 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 26 62 0 25 Mar 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 246 290 0 17 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 24 7 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 30 219 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Richard I. Hartley Byron Boots UQCV 16 68 0 15 Mar 2020
The Variational InfoMax Learning Objective Vincenzo Crescimanna Bruce P. Graham 23 0 0 07 Mar 2020
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 40 346 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 163 113 0 05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 67 28 0 03 Mar 2020
Quantile Regularization: Towards Implicit Calibration of Regression Models Saiteja Utpala Piyush Rai UQCV 14 7 0 28 Feb 2020
Object Relational Graph with Teacher-Recommended Learning for Video Captioning Ziqi Zhang Yaya Shi Chunfen Yuan Bing Li Peijin Wang Weiming Hu Zhengjun Zha VLM 37 271 0 26 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 29 198 0 24 Feb 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 56 446 0 21 Feb 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Karim Huesmann Soeren Klemm Lars Linsen Benjamin Risse 16 2 0 21 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 30 58 0 19 Feb 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue Byeongchang Kim Jaewoo Ahn Gunhee Kim BDL 44 167 0 18 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 44 1,013 0 18 Feb 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention Minyoung Chung Jingyu Lee Jeongjin Lee Y. Shin MedIm 18 29 0 14 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 84 275 0 09 Feb 2020
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation Siqi Yang Lin Wu Arnold Wiliem Brian C. Lovell ObjD 22 19 0 03 Feb 2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing Xingzhe He Helen Lu Cao Bo Zhu 3DPC 24 9 0 01 Feb 2020
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling Clare Chen Z. Pardos 6 3 0 23 Jan 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 34 57 0 17 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation Madan Ravi Ganesh Jason J. Corso ODL 32 10 0 13 Jan 2020
Regularization via Structural Label Smoothing Weizhi Li Gautam Dasarathy Visar Berisha UQCV 19 51 0 07 Jan 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 31 39 0 30 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 27 323 0 11 Dec 2019
Fantastic Generalization Measures and Where to Find Them Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 16 597 0 04 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 33 313 0 04 Dec 2019
Online Knowledge Distillation with Diverse Peers Defang Chen Jian-Ping Mei Can Wang Yan Feng Chun-Yen Chen FedML 33 297 0 01 Dec 2019
Instance Cross Entropy for Deep Metric Learning Xinshao Wang Elyor Kodirov Yang Hua N. Robertson 27 5 0 22 Nov 2019
On Using SpecAugment for End-to-End Speech Translation Parnia Bahar Albert Zeyer Ralf Schluter Hermann Ney 25 53 0 20 Nov 2019
A Comparative Study on End-to-end Speech to Text Translation Parnia Bahar Tobias Bieschke Hermann Ney 36 78 0 20 Nov 2019
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks Héctor J. Hortúa Riccardo Volpi D. Marinelli Luigi Malagò BDL 24 22 0 19 Nov 2019
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization Mantong Zhou Minlie Huang Xiaoyan Zhu AAML 30 17 0 16 Nov 2019
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue Sam Shleifer Manish Chablani A. Kannan Namit Katariya X. Amatriain BDL MedIm 19 0 0 16 Nov 2019
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels Hieu H. Pham T. Le Dat Q. Tran Dat Ngo H. Nguyen 30 32 0 15 Nov 2019
A Bilingual Generative Transformer for Semantic Sentence Embedding John Wieting Graham Neubig Taylor Berg-Kirkpatrick 32 28 0 10 Nov 2019
ConveRT: Efficient and Accurate Conversational Representations from Transformers Matthew Henderson I. Casanueva Nikola Mrkvsić Pei-hao Su Tsung-Hsien Ivan Vulić 23 196 0 09 Nov 2019