Regularizing Neural Networks by Penalizing Confident Output Distributions

23 January 2017

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

50 / 173 papers shown

Title
Improving Model Training via Self-learned Label Representations Xiao Yu Nakul Verma SSL 20 0 0 09 Sep 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 21 12 0 23 Aug 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 31 6 0 23 Aug 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 15 6 0 30 Jun 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 83 41 0 29 Jun 2022
Construct a Sentence with Multiple Specified Words Yuanliang Meng 11 0 0 25 Jun 2022
Re-Examining Calibration: The Case of Question Answering Chenglei Si Chen Zhao Sewon Min Jordan L. Boyd-Graber 59 30 0 25 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 16 1 0 02 May 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 21 55 0 10 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 17 29 0 06 Apr 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 18 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 17 42 0 25 Mar 2022
Reducing Flipping Errors in Deep Neural Networks Xiang Deng Yun Xiao Bo Long Zhongfei Zhang AAML 30 3 0 16 Mar 2022
Rethinking and Refining the Distinct Metric Siyang Liu Sahand Sabour Yinhe Zheng Pei Ke Xiaoyan Zhu Minlie Huang 28 10 0 28 Feb 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 25 34 0 20 Jan 2022
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 24 72 0 14 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 24 65 0 30 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 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
Federated Semi-Supervised Learning with Class Distribution Mismatch Zhiguo Wang Xintong Wang Ruoyu Sun Tsung-Hui Chang FedML 14 12 0 29 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 13 61 0 27 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 24 25 0 14 Oct 2021
Language Modelling via Learning to Rank A. Frydenlund Gagandeep Singh Frank Rudzicz 45 7 0 13 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 30 13 0 06 Oct 2021
Homography augumented momentum constrastive learning for SAR image retrieval Seonho Park M. Rysz Kathleen M. Dipple P. Pardalos 23 1 0 21 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 19 8 0 21 Sep 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 25 16 0 09 Sep 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 23 11 0 23 Aug 2021
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems K. Prokofiev V. Sovrasov 3DH 19 2 0 16 Aug 2021
Similarity Based Label Smoothing For Dialogue Generation Sougata Saha Souvik Das R. Srihari 22 3 0 23 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification Benedikt T. Boenninghoff R. M. Nickel D. Kolossa OODD 32 12 0 30 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 13 10 0 22 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 32 105 0 11 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 22 37 0 30 May 2021
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data Payam Karisani Jinho D. Choi Li Xiong MedIm 8 2 0 24 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking Xingchen Ma Matthew B. Blaschko 18 34 0 10 May 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 11 85 0 14 Apr 2021
ReMix: Towards Image-to-Image Translation with Limited Data Jie Cao Luanxuan Hou Ming-Hsuan Yang R. He Zhenan Sun 23 24 0 31 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 19 36 0 29 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 45 21 0 09 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 30 22 0 28 Feb 2021
Siamese Labels Auxiliary Learning Wenrui Gan Zhulin Liu C. L. P. Chen Tong Zhang 14 1 0 27 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 21 35 0 05 Feb 2021
BERTaú: Itaú BERT for digital customer service Paulo Finardi José Dié Viegas Gustavo T. Ferreira Alex F. Mansano Vinicius Fernandes Caridá 22 11 0 28 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 40 6 0 27 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 20 3 0 07 Jan 2021