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 to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 26 25 0 25 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong Cao Liu Fan Yang Xunliang Cai Guanglu Wan Jiansong Chen Weipeng Zhang Houfeng Wang UQCV 24 2 0 17 Mar 2022
Reducing Flipping Errors in Deep Neural Networks Xiang Deng Yun Xiao Bo Long Zhongfei Zhang AAML 38 4 0 16 Mar 2022
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing Hugo Schmutz O. Humbert Pierre-Alexandre Mattei 19 8 0 14 Mar 2022
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation Liang Chen Runxin Xu Baobao Chang 13 6 0 06 Mar 2022
Rethinking and Refining the Distinct Metric Siyang Liu Sahand Sabour Yinhe Zheng Pei Ke Xiaoyan Zhu Minlie Huang 41 11 0 28 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 16 7 0 16 Feb 2022
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens Felix Ott David Rügamer Lucas Heublein Tim Hamann Jens Barth Bernd Bischl Christopher Mutschler 35 18 0 14 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Michael I. Jordan Tatjana Chavdarova AAML AI4CE 29 4 0 11 Feb 2022
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing Akshat Shrivastava Shrey Desai Anchit Gupta A. Elkahky Aleksandr Livshits Alexander Zotov Ahmed Aly 138 6 0 02 Feb 2022
Locally Typical Sampling Clara Meister Tiago Pimentel Gian Wiher Ryan Cotterell 151 86 0 01 Feb 2022
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer Yue Wan Ben Liao Chang-Yu Hsieh Shengyu Zhang 30 10 0 29 Jan 2022
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges A. Lengyel Robert-Jan Bruintjes Marcos Baptista-Rios O. Kayhan Davide Zambrano Nergis Tomen Jan van Gemert VLM 30 11 0 21 Jan 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 27 34 0 20 Jan 2022
Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen Wanyu Du Yangfeng Ji 33 2 0 11 Jan 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 24 15 0 22 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 23 1 0 15 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 35 72 0 14 Dec 2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 24 25 0 06 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 28 65 0 30 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 29 18 0 22 Nov 2021
Deep Probability Estimation Sheng Liu Aakash Kaku Weicheng Zhu M. Leibovich S. Mohan ... Haoxiang Huang L. Zanna N. Razavian Jonathan Niles-Weed C. Fernandez‐Granda UQCV OOD 28 14 0 21 Nov 2021
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong Sejun Park Minkyu Kim Heung-Chang Lee Do-Guk Kim Jinwoo Shin AAML 31 55 0 17 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 108 34 0 08 Nov 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 39 12 0 29 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion Sijie Cheng Jingwen Wu Yanghua Xiao Yang Liu Yang Liu FedML 21 67 0 21 Oct 2021
Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms Tien-Hong Lo Y. Sung Berlin Chen 12 7 0 17 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 24 25 0 14 Oct 2021
FocusNet: Classifying Better by Focusing on Confusing Classes Xue Zhang Zehua Sheng Hui-Liang Shen 61 10 0 14 Oct 2021
Language Modelling via Learning to Rank A. Frydenlund Gagandeep Singh Frank Rudzicz 47 7 0 13 Oct 2021
Disturbing Target Values for Neural Network Regularization Yongho Kim Hanna Lukashonak Paweena Tarepakdee Klavdia Zavalich Mofassir ul Islam Arif 27 0 0 11 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 28 6 0 08 Oct 2021
Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning Dimitrios Boursinos X. Koutsoukos 26 1 0 07 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 2021
Semi-Supervised Text Classification via Self-Pretraining Payam Karisani Negin Karisani SSL VLM 20 22 0 30 Sep 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective Jiun Tian Hoe KamWoh Ng Tianyu Zhang Chee Seng Chan Yi-Zhe Song Tao Xiang MQ 40 110 0 29 Sep 2021
Homography augumented momentum constrastive learning for SAR image retrieval Seonho Park M. Rysz Kathleen M. Dipple P. Pardalos 28 1 0 21 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 21 8 0 21 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 131 61 0 13 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip Torr Dacheng Tao VLM AAML 26 107 0 11 Sep 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 39 16 0 09 Sep 2021
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge Danwei Cai Ming Li 11 15 0 07 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 39 11 0 23 Aug 2021
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems K. Prokofiev V. Sovrasov 3DH 24 2 0 16 Aug 2021
Learning from Matured Dumb Teacher for Fine Generalization Heeseung Jung Kangil Kim Hoyong Kim Jong-Hun Shin 10 2 0 12 Aug 2021
Similarity Based Label Smoothing For Dialogue Generation Sougata Saha Souvik Das Rohini Srihari 30 3 0 23 Jul 2021